Pattern of computed tomography findings among acute traumatic brain injury patients at a tertiary institution in southwestern Nigeria

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It remains a significant cause of morbidity and mortality globally, particularly in low-and middle-income countries like Nigeria. It is thought to be a varied, dynamic pathophysiological process that begins at the point of impact and goes on throughout time, with consequences possibly manifesting years after the original incidence. However, there is paucity of local data describing CT finding in patients with acute TBI in southwestern Nigeria within the last ten years. This study aims to determine the incidence of the findings in head-injured patients who underwent cranial CT imaging and to describe the common CT findings among these patients. Methods: This retrospective study reviewed the CT scan and medical records of adult patients (≥ 18years) who presented with acute head injury and underwent non-contrast CT scan at a tertiary teaching Hospital in southwestern Nigeria between January 2021 and December 2023. The CT findings documented were skull fractures, hemorrhages, brain contusion, brain oedema. Midline shift and other intracranial abnormalities. Data collected were analyzed using IBM SPSS Statistics (Version 27). Descriptive and inferential statistics were used, with significance set at p < 0.05. Results: A total of 466 patients were included, with a male-to-female ratio of approximately 3:1. The median age was 35 years (IQR 23–48). The most frequently observed CT finding were skull fractures (35.4%), followed by cerebral edema (32.2%) and brain contusions (27.3%). Subdural and epidural hematomas were seen in 11.8% and 9.9% of cases, respectively. Cerebral edema and contusions showed a strong positive correlation ( r = 0.868). Males had significantly higher rates of skull fractures (p = 0.001), contusions (p = 0.007), and edema (p = 0.014). Subdural hematomas with associated midline shifts were more common among older patients (p = 0.019 and 0.005, respectively). Conclusion: In this study involving patients with acute TBI, the most common CT findings were skull fractures, cerebral edema, and contusions. The significant correlation between certain injury patterns underscores the importance of timely CT evaluation, particularly in older adults and in cases of high-impact trauma. These findings highlight the need for imaging protocols that support early diagnosis and tailored management of TBI in our region Head injury Computed tomography skull fractures Traumatic brain injury Elderly. Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Introduction Head injury(HI) constitutes injury that occurs to the skull or brain as a result of an external mechanical force 1 , 2 . It refers to any trauma or damage that occurs to the scalp, skull, or brain 1 , 3 . It can range from a mild bump or bruise to a severe injury that causes significant damage to the brain known as traumatic brain injury (TBI). It is thought to be a varied, dynamic pathophysiological process that begins at the point of impact and goes on throughout time, with consequences possibly manifesting years after the original incidence. There are two types of HI, these are primary and secondary HI 4 . Primary HI occurs as a result of the direct blow to the head while secondary HI occurs as a complication or consequence of primary HI. Head injury has a complex worldwide epidemiology that differs among populations and geographical areas 5 , 6 . It constitute almost 50% of all injuries 2 , is the leading cause of death in 25% of acute trauma victims 7 , leaving more than 57 million people in the world living with neurological deficits and very low quality of life due to TBI 2 . The overall, global annual incidence of TBI according to the World Health Organization (WHO) is estimated to be around 69 million cases 8 , This figure includes all severities of TBI, from mild concussions to severe head injuries. The incidence of HI in the united sates is reported to be 394/100,000 people 3 with a mortality rate of 19.3 per 100,000, a United Kingdom study reported an incidence rate of 453/100,000 3 . In Nigeria, the incidence rate of HI is 2,710 per 100,00 per year, which translated to about 5.3 cases per week 3 . HI are commonly categorized based on their severity into Mild, moderate and severe HI. Mild HI includes minor bumps, bruises, or concussions that may cause temporary symptoms such as headache, dizziness, or brief loss of consciousness. Moderate HI involves more significant trauma to the head, often resulting in longer periods of unconsciousness, memory loss, and other cognitive impairments. Severe HI can cause extensive damage to the brain, leading to prolonged unconsciousness, cognitive deficits, and potentially life-threatening complications 9 . In diagnostic radiology, there are several imaging modalities usually adopted for the investigation of acute head injuries, but the choice of one modality over another depends on the following: the availability, speed of image acquisition, nature of the information to be obtained, age of the subject, as well as cost of the procedure. Despite these, the popular initial imaging modality for head injury remains the computed Tomography (CT) scan 10 . HI can result from various causes, including falls, motor vehicle accidents, sports injuries, assaults, and other traumatic events 5 . The commonest cause of HI is road traffic crash 2 , 3 , 6 , 11 . Men are more likely to sustain TBIs than women, with higher rates of TBI-related injuries observed in males across various age groups 6 , 11 . TBI imposes a significant economic burden on healthcare systems and societies. The direct and indirect costs associated with TBI, including medical care, rehabilitation, and lost productivity, are substantial. TBI is also associated with long-term physical, cognitive, and emotional impairments that can have profound effects on individuals and their families. HI are a common and often serious presentation in emergency departments across Southwestern Nigeria, affecting people of all ages—from motorcyclists to schoolchildren. Computed tomography (CT) is central to assessing injury severity and guiding treatment. Yet, despite the frequency of these cases, there is a striking lack of local data on CT findings in our environment. At the study center, a wide range of traumatic brain injury (TBI) cases are usually managed, but when seeking comparative insight, we are forced to rely on outdated or external studies. The specific patterns and severity of CT findings in our setting remain largely undocumented, limiting our ability to optimize care or train clinicians with region-specific knowledge. This study aims to fill that gap by examining the incidence of CT-evaluated head injuries and describing the radiologic patterns observed. Our goal is to generate evidence that reflects reality on the ground and informs better clinical practice in our context. Materials and Methods Study Design and Setting This was a retrospective descriptive study conducted at a tertiary teaching hospital in southwestern Nigeria. This study reviewed radiological data from adult patients with acute traumatic brain injury (TBI) stored in the hospital's Picture Archiving and Communication System (PACS). The study covered image data that were acquired from January 2021 to December 2023 while the data retrieval and analysis occurred between February and April 2024. Study Population and Case Selection The study population comprised adult patients (18 years and older) with a clinical diagnosis of acute traumatic brain injury (TBI) who underwent cranial CT scans within 24 hours of the accident. Using a total sampling method, all scans performed during the period meeting these criteria were incorporated. Inclusion and Exclusion Criteria This study included adult patients (≥ 18 years old) with acute TBI whose CT scans were performed within 24 hours of the head injury between January 2021 and December 2023. Cases with incomplete demographic and clinical data or scans that were technically unsuitable for assessment were not included. CT Imaging Protocol and Evaluation Technique CT Imaging Protocol and Evaluation Technique All patients underwent non-contrast cranial CT on a Philips 64-slice multidetector scanner (Philips Healthcare, Best, Netherlands). The scan protocols were performed using 120 kVp, 250 mAs, and a pitch of 1.0, the images were acquired when the subject was supine, head-first, from the vertex down to the level of C3. Axial images were first acquired at 2mm slices thickness and reconstructed to 0.9 mm for higher spatial resolution. Images were reconstructed with both soft tissue and high-resolution bone algorithms, with coronal and sagittal reformats and 3D volume-rendered images generated when required. All images were reviewed in brain and bone windows. Each scan was systematically evaluated for traumatic changes. Scalp injuries were identified as increased thickness, density and irregularities and were noted when present. Intracranial hemorrhages were identified as hyperdense lesions with Hounsfield unit consistent with hemorrhage and categorized as epidural, subdural, subarachnoid, intraventricular, or intracerebral accordingly. Parenchymal changes such as contusions, edema, and diffuse axonal injury (DAI) were assessed and documented. For this study, DAI was defined as multiple small punctate hemorrhages (< 1 cm) at the gray–white junction, corpus callosum, or brainstem, sometimes with associated diffuse edema, and not attributable to larger focal hematomas. Mass effect and midline shift were measured using displacement of the septum pellucidum. Hemorrhagic lesion volumes were estimated by multiplying lesion length × width × vertical height, where vertical height was obtained from number of slices × slice thickness. Pneumocephalus was identified by the presence of intracranial air. Skull fractures were classified as depressed (inward displacement of at least one fragment) or linear (non-displaced fracture line). Data Collection Demographic, clinical, and radiological information were retrieved from PACS and hospital records and entered into a structured proforma. Data were cross-checked to ensure completeness and accuracy. Data Analysis All data were analyzed using IBM SPSS Statistics for Windows, version 27.0 (IBM Corp., Armonk, NY). Continuous variables (e.g., age) were summarized as means with standard deviations, while categorical variables (e.g., sex, radiological findings) were expressed as frequencies and percentages. Associations between categorical variables were tested using Pearson’s chi-square, with statistical significance set at p < 0.05. Results A total of 466 patients were included in the study, comprising 352 males (75.5%) and 114 females (24.5%). The age distribution showed a slight skew toward younger individuals, with the 20–29 and 40–49-year age groups each accounting for approximately 20% of the sample. The median age was 35 years (interquartile range [IQR] 23–48 years), with males exhibiting a slightly higher median age (37.5 years, IQR 24–48) compared to females (31 years, IQR 18–48) as seen on Table 1 Table 1 Age Distribution of Subjects Age Group (Years) Male n (%) Female n (%) Total n (%) 0–9 32 (9.1) 14 (12.3) 46 (9.9) 10–19 27 (7.7) 15 (13.2) 42 (9.0) 20–29 73 (20.7) 23 (20.2) 96 (20.6) 30–39 66 (18.8) 20 (17.5) 86 (18.5) 40–49 76 (21.6) 17 (14.9) 93 (19.9) 50–59 37 (10.5) 7 (6.1) 44 (9.4) 60–69 23 (6.5) 4 (3.5) 27 (5.8) ≥ 70 18 (5.1) 14 (12.3) 32 (6.9) Median (IQR) 37.5 (24–48) 31.0 (18–48) 35.0 (23–48) Gender Distribution As shown in Fig. 1 , males constituted the majority (n = 352; 75.5%), while females made up 24.5% (n = 114) of the study population. Pattern of Brain CT Findings Out of the 466 patients reviewed, 273(58.6%) had positive findings, while 193(41.4%) had no positive cranial CT findings. Skull fractures were the most common abnormality, detected in 165 patients (35.4%), followed by cerebral edema in 150 cases (32.2%) and cerebral contusions in 127 patients (27.3%). Subdural hematomas were observed in 55 cases (11.8%), while epidural hematomas occurred in 46 patients (9.9%). Other less frequent findings included subarachnoid hemorrhage (31 cases, 6.7%), pneumocephalus (31 cases, 6.7%), midline shift (19 cases, 5.8%), and intraparenchymal hemorrhage (10 cases, 2.1%). Diffuse axonal injury (DAI) was identified in 13 patients (2.8%), and scalp hematoma was seen in 45 cases (12.8%). Representative CT appearances of the major traumatic patterns observed in this study are shown in Figs. 2 – 5 . Figure 2 demonstrates an acute epidural hematoma associated with a parietal bone fracture and subgaleal hematoma. Hemorrhagic contusion with marked surrounding cerebral edema and an associated skull base fracture with pneumocephalus are illustrated in Fig. 3 . The morphology of depressed comminuted skull fractures is further demonstrated using three-dimensional volume-rendered reconstruction in Fig. 4 . A typical contrecoup pattern with bifrontal acute subdural hemorrhage following occipital impact is shown in Fig. 5 . Statistical analysis revealed significant gender differences in the incidence of skull fractures (p = 0.001), contusions (p = 0.007), and edema (p = 0.014), with males more commonly affected. Other CT findings did not show statistically significant gender differences (Table 2 ). Table 2 Pattern of Brain CT Findings by Gender Findings Overall n(%) Male n(%) Female n(%) p-value n(%) DAI 13(2.8) 12(3.4) 1(0.9) 0.154 Fracture 165(35.4) 139(39.5) 26(22.8) 0.001* Contusion 127(27.3) 107(30.4) 20(17.5) 0.007* Intraparenchymal Hemorrhage 10(2.1) 2(2.0) 3(2.6) 0.681 Epidural 46(9.9) 38(10.8) 8(7.0) 0.240 Subdural 55(11.8) 44(12.5) 11(9.6) 0.412 SAH 31(6.7) 21(6.0) 10(8.8) 0.296 Pneumocephalus 31(6.7) 26(7.4) 5(4.4) 0.264 Oedema 150(32.2) 124(35.2) 26(22.8) 0.014* Midline shift 19(5.8) 19(5.4) 8(7.0) 0.520 Scalp hematoma 45(12.8) 45(12.8) 21(18.4) 0.134 Intraventricular extension 9(1.9) 9(2.6) 0(0.0) 0.085 None 193(41.4) 135(38.4) 58(50.9) 0.018* *Significant p value DAI = Diffuse axonal injury SAH = Subarachnoid hemorrhage CT Findings According to Age Group Brain CT findings were further analyzed based on age groupings: children (0–19 years), young adults (20–39 years), middle-aged adults (40–59 years), and elderly patients (≥ 60 years). Skull fractures and contusions were the most common findings across all age categories, though their frequencies varied. Skull fractures were especially frequent among young adults (30.8%), while subdural hematomas and midline shifts were more prevalent in middle-aged and elderly groups, indicating potentially more severe injuries with advancing age. Statistically significant age-related differences were observed for diffuse axonal injury (p = 0.025), skull fractures (p = 0.008), subdural hematomas (p = 0.019), subarachnoid hemorrhage (p = 0.022), and midline shift (p = 0.005). These findings suggest that the pattern and severity of traumatic brain injury differ significantly across age groups (Table 3 ). Table 3 Pattern of Brain CT Findings by Age Group CT Finding 0–19 yrs n (%) 20–39 yrs n (%) 40–59 yrs n (%) ≥ 60 yrs n (%) p-value Diffuse Axonal Injury 0 (0.0) 10 (5.5) 3 (2.2) 0 (0.0) 0.025* Skull Fracture 37 (37.5) 64 (35.2) 42 (42.3) 10 (16.9) 0.008* Contusion 17 (19.3) 52 (28.6) 41 (29.9) 17 (28.8) 0.318 Intraparenchymal Hemorrhage 2 (2.3) 5 (2.7) 2 (1.5) 1 (1.7) 0.877 Epidural Hematoma 14 (15.9) 16 (8.8) 12 (8.8) 4 (6.8) 0.198 Subdural Hematoma 7 (8.0) 14 (7.7) 24 (17.5) 10 (16.9) 0.019* Subarachnoid Hemorrhage 2 (2.3) 8 (4.4) 14 (10.2) 7 (11.9) 0.022* Pneumocephalus 6 (6.8) 12 (6.6) 11 (8.0) 2 (3.4) 0.697 Edema 23 (26.1) 61 (33.5) 49 (35.8) 17 (28.8) 0.434 Midline Shift 4 (4.5) 5 (2.7) 16 (11.7) 2 (3.4) 0.005* Scalp Hematoma 10 (11.4) 28 (15.4) 21 (15.3) 7 (11.9) 0.753 Intraventricular Extension of hematoma 0 (0.0) 6 (3.3) 2 (1.5) 1 (1.7) 0.295 *Significant p value Correlation Analysis of CT Findings Correlation analysis revealed a strong positive association between cerebral edema and contusions (Pearson’s r = 0.868, p < 0.01). Additional significant correlations included: Skull fractures and contusions ( r = 0.323, p < 0.01), Skull fractures and epidural hematomas ( r = 0.327, p < 0.01), Contusions and epidural hematomas ( r = 0.282, p < 0.01) These associations underscore the common co-occurrence of specific TBI features and may reflect shared mechanisms of injury (Fig. 3 ). Discussion This study aimed to describe the radiologic patterns of acute traumatic brain injuries (TBI) as seen on cranial CT scans in patients presenting at a tertiary hospital in southwestern Nigeria. Due to the limited data available from our region, this analysis contributed critical insights into the local burden and presentation of TBI, revealing key demographic trends, radiologic patterns, and clinically relevant associations, thus deepening our understanding of TBI in this setting. Our results indicated that the majority of the patients in this study were young adults, while there was a male predominance (75.5%) (M:F = 3:1), which is consistent with global and local patterns of TBI 1 , 5 , 6 , 10 . This occurrence can be explained by the fact that males are more exposed to awkward and risky occupational hazards, traffic-related risks, rough sports, communal or political violence, and criminal activities 6 , 12 , 13 . The majority of the patients are in their second decade of life (20.6%), the second highest age group are those in their fourth decade (20%) followed closely by those in their third decade of life (18.5%). Again, these three age groups, which consist of middle-aged adults, are among the most active people in the society, engaging in one work activity or another, and are always on the move to make ends meet and therefore more prone to accidents and occupational hazards. Similar trends have been reported by other researchers around the world 1 , 10 – 15 . This further highlights the economic and social impact of TBI on the productive age group. This study showed that 41.4% of head-injured adults have no positive finding on cranial CT. This finding is similar to that obtained by Ugwuanyi et al 16 who observed a normal cranial CT finding of 39% among head-injured patients at Hansa Clinic, Enugu State, Nigeria. This close similarity in proportions of normal cranial CT findings reflects possible shared clinical protocols, similar patient demographics and injury mechanisms, and comparable diagnostic resources and limitations. Additionally, these figures are within the expected range for head injury CTs globally, particularly in cases of mild traumatic brain injury. Onwuchekwa et al 17 and Ohaegbulam et al 18 , however, noted a lesser proportion of normal CT findings, which were 35.8% and 19.9% respectively. The difference in proportion could be attributed to variation in sample sizes. In addition, as explained by Ohaegbulam during the period of their study, many head-injured patients, especially the mild ones, did not present early for cranial CT due to financial constraints. Skull fractures were the most frequently detected abnormality (35.4%) found in this study, suggesting high-impact trauma, likely from road traffic accidents and falls. The strong correlation between fractures and both contusions and epidural hematomas further supports this mechanism of injury. Edema and contusions were also common, often coexisting - a finding supported by the strong statistical correlation (r = 0.868), which highlights a shared pathophysiological response to blunt force trauma. Our finding, which favors skull fractures as the most frequently detected abnormality, aligns closely with patterns reported in both local and international literature 10 , 19 – 21 . These findings are, however, contrary to those of Adekanmi et al 22 in Ibadan, which documented intraparenchymal bleed; Asaleye et al 14 in Ile-Ife, which documented subdural hemorrhage; and Akanji et al 23 in Lagos, which documented cerebral contusion as the most common CT finding. Overall, these findings and other previous studies highlight the persistent burden of high-impact head injuries in low- and middle-income countries like Nigeria, where levels of helmet use, obeying traffic regulations, and access to emergency neuroimaging remain inconsistent. By comparing our data with similar contexts, we reinforce the need for improved trauma prevention strategies and standardized imaging protocols in emergency care. The value of three-dimensional CT reconstruction in defining fracture morphology is highlighted in Fig. 4 . A notable finding in our investigation was the significant connection between cerebral edema and contusions (r = 0.868), indicating the same pathophysiological underlying mechanism for these injuries. Blunt trauma often leads to cerebral contusion and subsequent edema, which, if left untreated, may progress to life-threatening problems such as intracranial herniation. This emphasizes the necessity of prompt imaging and intervention in head trauma, especially in individuals who may initially appear stable. This contusion-oedema pattern is well demonstrated in Fig. 3 . In this study, subdural and epidural hematomas were identified in approximately 10–12% of cases, which closely parallels recent research findings from both Nigerian and international trauma centers. For instance, Adedire et al 24 reported that extra-axial hematomas totaled about 10–15% of the CT findings in the study carried out at their tertiary hospital in Osogbo, Nigeria. Similarly, Kpuduwei et al 25 in Abuja found that around 20% of mild TBI patients had CT-identified operable lesions such as SDH and EDH. Globally, a meta-analysis of epidural hematomas estimated a global incidence of 8.2% among TBI patients 26 , while a prospective study in Ethiopia reported a similar prevalence for subdural hematoma in the acute trauma setting 27 . These hematomas are of critical clinical importance due to their potential for fast expansion, which can result in raised intracranial pressure and subsequent life-threatening brain herniation if not promptly identified. These concordance findings indicate that the patterns observed in this study are not unusual; rather, they represent a reproducible profile of extra-axial damage across comparable healthcare settings. The vulnerability of the elderly to SDH can be attributed to age-related cerebral atrophy, which stretches the bridging veins, and as such, even minor head trauma—such as a low-level fall or bump - can tear these veins, leading to SDH that may evolve slowly and present late 28 , 29 . Other factors that may predispose the elderly to SDH are the presence of medical comorbidities and increased prevalence of long-term anticoagulant antiplatelet treatment for age-related diseases 28 , 29 Overall, these factors have been shown to be associated with the survival and functional outcomes in the head-injured elderly patients 30 . This phenomenon was also explained by Aziz et al 30 in their study carried out in London, where elderly patients presented with chronic or acute-on-chronic subdural hematomas after seemingly trivial injuries. Furthermore, the higher rate of midline shift in older adults in our cohort supports the notion that mass effect from subdural collections can progress silently in this population, partly due to the increased intracranial space available to accommodate the bleed before clinical signs appear. A classical contrecoup injury pattern is illustrated in Fig. 5 . These findings reinforce a growing consensus: in elderly patients, the threshold for neuroimaging after head trauma should be low, regardless of the reported mechanism or apparent severity of injury. Prompt CT scanning in such scenarios is not only diagnostic but also potentially lifesaving. Taken together, our results agree with those of other studies that call for age-sensitive protocols in the evaluation of head injuries, particularly in settings like ours where access to imaging may be limited and clinical suspicion alone might delay definitive care 9 , 31 – 33 . Ethical Considerations and Limitations Due to the retrospective design of the study, individual patient consent was not obtained. Ethical approval was, however, sought and obtained from the institution's Health Research and Ethics Committee. Potential limitations of the study include reliance on existing records, which may be incomplete or inconsistent. To correct this, cases with insufficient data were omitted. Furthermore, as the study was conducted in a hospital setting rather than a population-based context, there exists a potential for selection bias. Another drawback of this study is that diffuse axonal damage was evaluated using CT, which primarily identifies hemorrhagic lesions; hence, non-hemorrhagic DAI, more accurately detected on MRI, may have been underdiagnosed. Conclusion This study brings to the fore the burden and radiologic spectrum of TBI in a Nigerian tertiary hospital setting. Such findings emphasize the value of cranial CT as a first-line tool in acute head injury assessment and point to age- and gender-specific injury patterns that can inform targeted prevention and management. Future research should aim for prospective, multicenter analyses to deepen understanding and improve patient outcomes. Declarations Author Contribution ASA, VOO, AAW and OAA, conceived and designed the study, coordinated data collection, supervised image review, performed statistical analysis, and drafted the manuscript. MKO, AOG contributed to coordinating data acquisition, literature review, and documentation of radiologic findings. AOO, AOA, and RAA participated in supervision of image review, performed statistical analysis, drafted the manuscript. All authors participated in data interpretation, critically revised the manuscript for significant intellectual content, and approved the final submitted version. 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Computed tomographic pattern of traumatic head injury at a tertiary hospital in Ibadan, South-Western Nigeria: A 10 year review. African Journal of Trauma . 2015;4(2):45–50. doi: 10.4103/1597-1112.179215 Akanji AO, Akinola RA, Balogun BO, et al. Computerized tomography scan and head injury: The experience in a tertiary hospital in Nigeria: A cross sectional study. Medical Practice and Reviews . 2015;6(1):1–15. Adedire A, Rabiu TB, Faniyi AJ, Oyeniyi AG, Ojewuyi OO, Ogungbemi AO. Pattern of traumatic brain injury in multiply injured patients at a Nigerian tertiary hospital: a 5-year retrospective study. Egyptian Journal of Neurosurgery . 2025/02/18 2025;40(1):46. doi: 10.1186/s41984-025-00389-7 Kpuduwei SPK, Yusuf AS. Prevalence of operable intracranial lesions from mild traumatic brain injury in a National Trauma Centre. Egyptian Journal of Neurosurgery . 2024/02/02 2024;39(1):1–5. doi: 10.1186/s41984-024-00268-7 Rahimi A, Corley JA, Ammar A, et al. The unmet global burden of cranial epidural hematomas: A systematic review and meta-analysis. Clin Neurol Neurosurg . Aug 2022;219:107313. doi: 10.1016/j.clineuro.2022.107313 Bayleyegn NS, Abafita M, Worku AT, Baye MF. Patterns and management outcomes of intracranial extra-axial hematomas in low-resource setup: a 6-month prospective observational study at Jimma University Medical Center, Ethiopia. Egyptian Journal of Neurosurgery . 2024/02/23 2024;39(1):1–13. doi: 10.1186/s41984-024-00272-x Stein DM, Kozar RA, Livingston DH, et al. Geriatric traumatic brain injury—what we know and what we don't. Journal of trauma and acute care surgery . 2018;85(4):788–798. Kuhn EN, Erwood MS, Oster RA, et al. Outcomes of Subdural Hematoma in the Elderly with a History of Minor or No Previous Trauma. World Neurosurg . Nov 2018;119:e374-e382. doi: 10.1016/j.wneu.2018.07.168 Aziz N, O'Halloran PJ, McKenna GS. Subdural haematoma in the elderly: management and outcomes of a UK Major Trauma Centre. Br J Neurosurg . Dec 2023;37(6):1604–1612. doi: 10.1080/02688697.2022.2122402 Mellett T, West C, Emeto TI, Dutson J, Khoo A, Gangathimmaiah V. Evaluation of older patients with minor blunt head trauma to identify those who do not have clinically important traumatic brain injury and can be safely managed without cranial computed tomography. Emergency Medicine Australasia . 2025;37(1):e14540. Wintermark M, Li Y, Ding VY, et al. Neuroimaging radiological interpretation system for acute traumatic brain injury. J Neurotrauma . 2018;35(22):2665–2672. Gupta S, Kaafarani HMA, Fagenholz PJ, et al. Mild traumatic brain injuries with minor intracranial hemorrhage: Can they Be safely managed in the community? - A cohort study. Int J Surg . Apr 2020;76:88–92. doi: 10.1016/j.ijsu.2020.02.016 Additional Declarations No competing interests reported. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8655338","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":583616628,"identity":"22063795-05db-4384-a74b-db02e4c50995","order_by":0,"name":"Sidikat Abiola Ayodele","email":"","orcid":"","institution":"Lagos State University Teaching Hospital","correspondingAuthor":false,"prefix":"","firstName":"Sidikat","middleName":"Abiola","lastName":"Ayodele","suffix":""},{"id":583616629,"identity":"94ca089d-e765-47e2-a42e-16ce1fdda74f","order_by":1,"name":"Victor Olufemi Oyedepo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABC0lEQVRIiWNgGAWjYNACNiBmb24Asw2AWII4LTwHgVoSSNIikUikFoPjzcckPpTZ5PFLPmz8zPvDRt6cgfngbR6GO3YNuLScOZYmOeNcWrHk7MRmaZ6ENMOdDWzJ1jwMz5JxaZGckWMmzdt2OHHD7cQGoJbDCQYHeMykeRgOJ+NyGFjL37b/iRtuHmz+zZPwH6iF/xteLfwSQC2MbQcSN9xgbAPacgBkCxtIix1OLTzHki17ziUXS/YktlnOSUs23HCYzdhyjsHhBFxa2NibD974UWaXx89++PCNNzZ28sAwfHjjTcVhe1xagIAFFAtIZjKDCAMGUDThAswfULVAAT5bRsEoGAWjYGQBAAFWVsN8CxIRAAAAAElFTkSuQmCC","orcid":"","institution":"Ladoke Akintola University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Victor","middleName":"Olufemi","lastName":"Oyedepo","suffix":""},{"id":583616630,"identity":"2b6a8667-0528-445e-9217-bb61d85dc9d0","order_by":2,"name":"Adewale Wasiu Akeem","email":"","orcid":"","institution":"Obafemi Awolowo University Teaching Hospitals Complex","correspondingAuthor":false,"prefix":"","firstName":"Adewale","middleName":"Wasiu","lastName":"Akeem","suffix":""},{"id":583616631,"identity":"d3be5414-84e2-4408-9fb1-d0b97b49079a","order_by":3,"name":"Akinola Ayodeji Odedeyi","email":"","orcid":"","institution":"Obafemi Awolowo University Teaching Hospitals Complex","correspondingAuthor":false,"prefix":"","firstName":"Akinola","middleName":"Ayodeji","lastName":"Odedeyi","suffix":""},{"id":583616632,"identity":"f0343726-af05-4dd4-9ba0-6145b92c0082","order_by":4,"name":"Olabamidele Ayodeji Ayodele","email":"","orcid":"","institution":"Lagos State University College of Medicine","correspondingAuthor":false,"prefix":"","firstName":"Olabamidele","middleName":"Ayodeji","lastName":"Ayodele","suffix":""},{"id":583616633,"identity":"d2a0bea0-e1fa-4444-acd7-e4a05f53a430","order_by":5,"name":"Olukayode Ademola Adegboyega","email":"","orcid":"","institution":"Lagos State University Teaching Hospital","correspondingAuthor":false,"prefix":"","firstName":"Olukayode","middleName":"Ademola","lastName":"Adegboyega","suffix":""},{"id":583616634,"identity":"de760229-8eeb-4f0d-8f0d-86fccbbff947","order_by":6,"name":"Morolayo Kikelomo Onamusi","email":"","orcid":"","institution":"Lagos State University Teaching Hospital","correspondingAuthor":false,"prefix":"","firstName":"Morolayo","middleName":"Kikelomo","lastName":"Onamusi","suffix":""},{"id":583616635,"identity":"6ac745a0-e4f5-404f-97cb-ac7ecc7cbdfb","order_by":7,"name":"Oluwatimilehin Grace Adeleke","email":"","orcid":"","institution":"Lagos State University Teaching Hospital","correspondingAuthor":false,"prefix":"","firstName":"Oluwatimilehin","middleName":"Grace","lastName":"Adeleke","suffix":""},{"id":583616636,"identity":"48e463a0-6e90-48d2-b481-55d40dfcef67","order_by":8,"name":"Rachael Adeyanju Akinola","email":"","orcid":"","institution":"Lagos State University Teaching Hospital","correspondingAuthor":false,"prefix":"","firstName":"Rachael","middleName":"Adeyanju","lastName":"Akinola","suffix":""}],"badges":[],"createdAt":"2026-01-21 05:23:40","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8655338/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8655338/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":101654328,"identity":"51934d3d-285b-4bc8-ba93-ff980f599497","added_by":"auto","created_at":"2026-02-02 09:43:43","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":17522,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eGender distribution of subjects\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"image1.png","url":"https://assets-eu.researchsquare.com/files/rs-8655338/v1/fbcf1bc0ae82868f247b19d5.png"},{"id":101654331,"identity":"3b76326d-a4ff-4032-8ace-bfd330bcd572","added_by":"auto","created_at":"2026-02-02 09:43:43","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":98935,"visible":true,"origin":"","legend":"\u003cp\u003eNon-enhanced cranial CT, axial view. (A) Brain window showing acute front-to-parietal epidural hemorrhage with mass effect and overlying subgaleal hematoma. (B) Bone window showing a non-depressed fracture of the right parietal bone.\u003c/p\u003e","description":"","filename":"image2.png","url":"https://assets-eu.researchsquare.com/files/rs-8655338/v1/a4af6c1bb51f844ce4139cc7.png"},{"id":101753179,"identity":"278eaa65-18c0-43b5-8c57-a7cad8271d48","added_by":"auto","created_at":"2026-02-03 10:39:18","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":101634,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eNon-enhanced cranial CT, axial view. \u003c/strong\u003e(A) Brain window showing hemorrhagic contusion in the right parietal lobe with severe cerebral edema and mass effect. (B) Bone window showing fracture of the inner table of the right frontal sinus with associated bifrontal pneumocephalus and subarachnoid air density.\u003c/p\u003e","description":"","filename":"image3.png","url":"https://assets-eu.researchsquare.com/files/rs-8655338/v1/e90527d81671073b8691a0f7.png"},{"id":101753298,"identity":"e4930e1f-a96c-4660-a811-332c42ff1efe","added_by":"auto","created_at":"2026-02-03 10:39:39","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":628642,"visible":true,"origin":"","legend":"\u003cp\u003e3D VR reconstruction showing a depressed comminuted fracture of the left parasagittal parietal bone.\u003c/p\u003e","description":"","filename":"image4.png","url":"https://assets-eu.researchsquare.com/files/rs-8655338/v1/b778b754624a8d42c1fd9af7.png"},{"id":101654330,"identity":"6c6230e1-221b-457a-b3cc-e7a572dbbdeb","added_by":"auto","created_at":"2026-02-02 09:43:43","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":91777,"visible":true,"origin":"","legend":"\u003cp\u003eNon-enhanced cranial CT, axial view. (A) Bone window showing a non-depressed mid-sagittal occipital bone fracture at the impact site with overlying subgaleal hematoma. (B) Brain window showing bifrontal acute subdural hemorrhage, more pronounced on the left with parieto-temporal extension (not fully visualized on this slice), consistent with contrecoup injury. Associated mass effect and diffuse cerebral edema are also noted.\u003c/p\u003e","description":"","filename":"image5.png","url":"https://assets-eu.researchsquare.com/files/rs-8655338/v1/135a4d60413486d8509fd440.png"},{"id":103972743,"identity":"1e15804e-5106-4365-9c0d-160a426934b7","added_by":"auto","created_at":"2026-03-05 07:57:54","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2348261,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8655338/v1/f3cf24db-85cb-42d9-b16d-5de585b9f1fb.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Pattern of computed tomography findings among acute traumatic brain injury patients at a tertiary institution in southwestern Nigeria","fulltext":[{"header":"Introduction","content":"\u003cp\u003eHead injury(HI) constitutes injury that occurs to the skull or brain as a result of an external mechanical force\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e,\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e. It refers to any trauma or damage that occurs to the scalp, skull, or brain\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e,\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u003c/sup\u003e. It can range from a mild bump or bruise to a severe injury that causes significant damage to the brain known as traumatic brain injury (TBI). It is thought to be a varied, dynamic pathophysiological process that begins at the point of impact and goes on throughout time, with consequences possibly manifesting years after the original incidence. There are two types of HI, these are primary and secondary HI\u003csup\u003e4\u003c/sup\u003e. Primary HI occurs as a result of the direct blow to the head while secondary HI occurs as a complication or consequence of primary HI.\u003c/p\u003e \u003cp\u003eHead injury has a complex worldwide epidemiology that differs among populations and geographical areas\u003csup\u003e\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e,\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e. It constitute almost 50% of all injuries\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e, is the leading cause of death in 25% of acute trauma victims\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u003c/sup\u003e, leaving more than 57\u0026nbsp;million people in the world living with neurological deficits and very low quality of life due to TBI\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e. The overall, global annual incidence of TBI according to the World Health Organization (WHO) is estimated to be around 69\u0026nbsp;million cases\u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e, This figure includes all severities of TBI, from mild concussions to severe head injuries. The incidence of HI in the united sates is reported to be 394/100,000 people\u003csup\u003e\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u003c/sup\u003e with a mortality rate of 19.3 per 100,000, a United Kingdom study reported an incidence rate of 453/100,000\u003csup\u003e3\u003c/sup\u003e. In Nigeria, the incidence rate of HI is 2,710 per 100,00 per year, which translated to about 5.3 cases per week\u003csup\u003e\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eHI are commonly categorized based on their severity into Mild, moderate and severe HI. Mild HI includes minor bumps, bruises, or concussions that may cause temporary symptoms such as headache, dizziness, or brief loss of consciousness. Moderate HI involves more significant trauma to the head, often resulting in longer periods of unconsciousness, memory loss, and other cognitive impairments. Severe HI can cause extensive damage to the brain, leading to prolonged unconsciousness, cognitive deficits, and potentially life-threatening complications\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eIn diagnostic radiology, there are several imaging modalities usually adopted for the investigation of acute head injuries, but the choice of one modality over another depends on the following: the availability, speed of image acquisition, nature of the information to be obtained, age of the subject, as well as cost of the procedure. Despite these, the popular initial imaging modality for head injury remains the computed Tomography (CT) scan\u003csup\u003e\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u003c/sup\u003e .\u003c/p\u003e \u003cp\u003eHI can result from various causes, including falls, motor vehicle accidents, sports injuries, assaults, and other traumatic events\u003csup\u003e\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u003c/sup\u003e. The commonest cause of HI is road traffic crash\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e,\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e,\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e,\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e. Men are more likely to sustain TBIs than women, with higher rates of TBI-related injuries observed in males across various age groups\u003csup\u003e\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e,\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e. TBI imposes a significant economic burden on healthcare systems and societies. The direct and indirect costs associated with TBI, including medical care, rehabilitation, and lost productivity, are substantial. TBI is also associated with long-term physical, cognitive, and emotional impairments that can have profound effects on individuals and their families.\u003c/p\u003e \u003cp\u003eHI are a common and often serious presentation in emergency departments across Southwestern Nigeria, affecting people of all ages\u0026mdash;from motorcyclists to schoolchildren. Computed tomography (CT) is central to assessing injury severity and guiding treatment. Yet, despite the frequency of these cases, there is a striking lack of local data on CT findings in our environment. At the study center, a wide range of traumatic brain injury (TBI) cases are usually managed, but when seeking comparative insight, we are forced to rely on outdated or external studies. The specific patterns and severity of CT findings in our setting remain largely undocumented, limiting our ability to optimize care or train clinicians with region-specific knowledge.\u003c/p\u003e \u003cp\u003eThis study aims to fill that gap by examining the incidence of CT-evaluated head injuries and describing the radiologic patterns observed. Our goal is to generate evidence that reflects reality on the ground and informs better clinical practice in our context.\u003c/p\u003e"},{"header":"Materials and Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eStudy Design and Setting\u003c/h2\u003e \u003cp\u003eThis was a retrospective descriptive study conducted at a tertiary teaching hospital in southwestern Nigeria. This study reviewed radiological data from adult patients with acute traumatic brain injury (TBI) stored in the hospital's Picture Archiving and Communication System (PACS). The study covered image data that were acquired from January 2021 to December 2023 while the data retrieval and analysis occurred between February and April 2024.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eStudy Population and Case Selection\u003c/h3\u003e\n\u003cp\u003eThe study population comprised adult patients (18 years and older) with a clinical diagnosis of acute traumatic brain injury (TBI) who underwent cranial CT scans within 24 hours of the accident. Using a total sampling method, all scans performed during the period meeting these criteria were incorporated.\u003c/p\u003e\n\u003ch3\u003eInclusion and Exclusion Criteria\u003c/h3\u003e\n\u003cp\u003eThis study included adult patients (\u0026ge;\u0026thinsp;18 years old) with acute TBI whose CT scans were performed within 24 hours of the head injury between January 2021 and December 2023.\u003c/p\u003e \u003cp\u003eCases with incomplete demographic and clinical data or scans that were technically unsuitable for assessment were not included.\u003c/p\u003e\n\u003ch3\u003eCT Imaging Protocol and Evaluation Technique\u003c/h3\u003e\n\u003cdiv class=\"Heading\"\u003eCT Imaging Protocol and Evaluation Technique\u003c/div\u003e \u003cp\u003eAll patients underwent non-contrast cranial CT on a Philips 64-slice multidetector scanner (Philips Healthcare, Best, Netherlands). The scan protocols were performed using 120 kVp, 250 mAs, and a pitch of 1.0, the images were acquired when the subject was supine, head-first, from the vertex down to the level of C3. Axial images were first acquired at 2mm slices thickness and reconstructed to 0.9 mm for higher spatial resolution. Images were reconstructed with both soft tissue and high-resolution bone algorithms, with coronal and sagittal reformats and 3D volume-rendered images generated when required. All images were reviewed in brain and bone windows.\u003c/p\u003e \u003cp\u003eEach scan was systematically evaluated for traumatic changes. Scalp injuries were identified as increased thickness, density and irregularities and were noted when present. Intracranial hemorrhages were identified as hyperdense lesions with Hounsfield unit consistent with hemorrhage and categorized as epidural, subdural, subarachnoid, intraventricular, or intracerebral accordingly. Parenchymal changes such as contusions, edema, and diffuse axonal injury (DAI) were assessed and documented. For this study, DAI was defined as multiple small punctate hemorrhages (\u0026lt;\u0026thinsp;1 cm) at the gray\u0026ndash;white junction, corpus callosum, or brainstem, sometimes with associated diffuse edema, and not attributable to larger focal hematomas. Mass effect and midline shift were measured using displacement of the septum pellucidum. Hemorrhagic lesion volumes were estimated by multiplying lesion length \u0026times; width \u0026times; vertical height, where vertical height was obtained from number of slices \u0026times; slice thickness. Pneumocephalus was identified by the presence of intracranial air. Skull fractures were classified as depressed (inward displacement of at least one fragment) or linear (non-displaced fracture line).\u003c/p\u003e\n\u003ch3\u003eData Collection\u003c/h3\u003e\n\u003cp\u003eDemographic, clinical, and radiological information were retrieved from PACS and hospital records and entered into a structured proforma. Data were cross-checked to ensure completeness and accuracy.\u003c/p\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eData Analysis\u003c/h2\u003e \u003cp\u003eAll data were analyzed using IBM SPSS Statistics for Windows, version 27.0 (IBM Corp., Armonk, NY). Continuous variables (e.g., age) were summarized as means with standard deviations, while categorical variables (e.g., sex, radiological findings) were expressed as frequencies and percentages. Associations between categorical variables were tested using Pearson\u0026rsquo;s chi-square, with statistical significance set at p\u0026thinsp;\u0026lt;\u0026thinsp;0.05.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003eA total of 466 patients were included in the study, comprising 352 males (75.5%) and 114 females (24.5%). The age distribution showed a slight skew toward younger individuals, with the 20\u0026ndash;29 and 40\u0026ndash;49-year age groups each accounting for approximately 20% of the sample. The median age was 35 years (interquartile range [IQR] 23\u0026ndash;48 years), with males exhibiting a slightly higher median age (37.5 years, IQR 24\u0026ndash;48) compared to females (31 years, IQR 18\u0026ndash;48) as seen on Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eAge Distribution of Subjects\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAge Group (Years)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMale n (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFemale n (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eTotal n (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e0\u0026ndash;9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e32 (9.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e14 (12.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e46 (9.9)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e10\u0026ndash;19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e27 (7.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e15 (13.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e42 (9.0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e20\u0026ndash;29\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e73 (20.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e23 (20.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e96 (20.6)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e30\u0026ndash;39\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e66 (18.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e20 (17.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e86 (18.5)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e40\u0026ndash;49\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e76 (21.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e17 (14.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e93 (19.9)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e50\u0026ndash;59\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e37 (10.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7 (6.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e44 (9.4)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e60\u0026ndash;69\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e23 (6.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4 (3.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e27 (5.8)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge;\u0026thinsp;70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e18 (5.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e14 (12.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e32 (6.9)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eMedian (IQR)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e37.5 (24\u0026ndash;48)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e31.0 (18\u0026ndash;48)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e35.0 (23\u0026ndash;48)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e\n\u003ch3\u003eGender Distribution\u003c/h3\u003e\n\u003cp\u003eAs shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, males constituted the majority (n\u0026thinsp;=\u0026thinsp;352; 75.5%), while females made up 24.5% (n\u0026thinsp;=\u0026thinsp;114) of the study population.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003ePattern of Brain CT Findings\u003c/h2\u003e \u003cp\u003eOut of the 466 patients reviewed, 273(58.6%) had positive findings, while 193(41.4%) had no positive cranial CT findings. Skull fractures were the most common abnormality, detected in 165 patients (35.4%), followed by cerebral edema in 150 cases (32.2%) and cerebral contusions in 127 patients (27.3%). Subdural hematomas were observed in 55 cases (11.8%), while epidural hematomas occurred in 46 patients (9.9%). Other less frequent findings included subarachnoid hemorrhage (31 cases, 6.7%), pneumocephalus (31 cases, 6.7%), midline shift (19 cases, 5.8%), and intraparenchymal hemorrhage (10 cases, 2.1%). Diffuse axonal injury (DAI) was identified in 13 patients (2.8%), and scalp hematoma was seen in 45 cases (12.8%).\u003c/p\u003e \u003cp\u003eRepresentative CT appearances of the major traumatic patterns observed in this study are shown in Figs.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e\u0026ndash;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e. Figure\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e demonstrates an acute epidural hematoma associated with a parietal bone fracture and subgaleal hematoma. Hemorrhagic contusion with marked surrounding cerebral edema and an associated skull base fracture with pneumocephalus are illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e. The morphology of depressed comminuted skull fractures is further demonstrated using three-dimensional volume-rendered reconstruction in Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e. A typical contrecoup pattern with bifrontal acute subdural hemorrhage following occipital impact is shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e.\u003c/p\u003e \u003cp\u003eStatistical analysis revealed significant gender differences in the incidence of skull fractures (p\u0026thinsp;=\u0026thinsp;0.001), contusions (p\u0026thinsp;=\u0026thinsp;0.007), and edema (p\u0026thinsp;=\u0026thinsp;0.014), with males more commonly affected. Other CT findings did not show statistically significant gender differences (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003ePattern of Brain CT Findings by Gender\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFindings\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eOverall\u003c/p\u003e \u003cp\u003en(%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMale\u003c/p\u003e \u003cp\u003en(%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eFemale\u003c/p\u003e \u003cp\u003en(%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003ep-value\u003c/p\u003e \u003cp\u003en(%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDAI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e13(2.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12(3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1(0.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.154\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFracture\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e165(35.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e139(39.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e26(22.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.001*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eContusion\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e127(27.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e107(30.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e20(17.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.007*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIntraparenchymal Hemorrhage\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e10(2.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2(2.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3(2.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.681\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEpidural\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e46(9.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e38(10.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e8(7.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.240\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSubdural\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e55(11.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e44(12.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e11(9.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.412\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSAH\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e31(6.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e21(6.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e10(8.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.296\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePneumocephalus\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e31(6.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e26(7.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e5(4.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.264\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOedema\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e150(32.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e124(35.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e26(22.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.014*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMidline shift\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e19(5.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e19(5.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e8(7.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.520\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eScalp hematoma\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e45(12.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e45(12.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e21(18.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.134\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIntraventricular extension\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e9(1.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e9(2.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0(0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.085\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNone\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e193(41.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e135(38.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e58(50.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.018*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003e*Significant p value\u003c/h2\u003e \u003cdiv id=\"Sec13\" class=\"Section3\"\u003e \u003ch2\u003eDAI\u0026thinsp;=\u0026thinsp;Diffuse axonal injury\u003c/h2\u003e \u003cdiv id=\"Sec14\" class=\"Section4\"\u003e \u003ch2\u003eSAH\u0026thinsp;=\u0026thinsp;Subarachnoid hemorrhage\u003c/h2\u003e \u003cp\u003e \u003cb\u003eCT Findings According to Age Group\u003c/b\u003e \u003c/p\u003e \u003cp\u003eBrain CT findings were further analyzed based on age groupings: children (0\u0026ndash;19 years), young adults (20\u0026ndash;39 years), middle-aged adults (40\u0026ndash;59 years), and elderly patients (\u0026ge;\u0026thinsp;60 years). Skull fractures and contusions were the most common findings across all age categories, though their frequencies varied. Skull fractures were especially frequent among young adults (30.8%), while subdural hematomas and midline shifts were more prevalent in middle-aged and elderly groups, indicating potentially more severe injuries with advancing age.\u003c/p\u003e \u003cp\u003eStatistically significant age-related differences were observed for diffuse axonal injury (p\u0026thinsp;=\u0026thinsp;0.025), skull fractures (p\u0026thinsp;=\u0026thinsp;0.008), subdural hematomas (p\u0026thinsp;=\u0026thinsp;0.019), subarachnoid hemorrhage (p\u0026thinsp;=\u0026thinsp;0.022), and midline shift (p\u0026thinsp;=\u0026thinsp;0.005). These findings suggest that the pattern and severity of traumatic brain injury differ significantly across age groups (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003ePattern of Brain CT Findings by Age Group\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCT Finding\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0\u0026ndash;19 yrs n (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e20\u0026ndash;39 yrs n (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e40\u0026ndash;59 yrs n (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026ge;\u0026thinsp;60 yrs n (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003ep-value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDiffuse Axonal Injury\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e10 (5.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3 (2.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.025*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSkull Fracture\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e37 (37.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e64 (35.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e42 (42.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e10 (16.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.008*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eContusion\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e17 (19.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e52 (28.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e41 (29.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e17 (28.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.318\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIntraparenchymal Hemorrhage\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5 (2.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e2 (1.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1 (1.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.877\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEpidural Hematoma\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e14 (15.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e16 (8.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e12 (8.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e4 (6.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.198\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSubdural Hematoma\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e7 (8.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e14 (7.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e24 (17.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e10 (16.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.019*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSubarachnoid Hemorrhage\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2 (2.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8 (4.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e14 (10.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e7 (11.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.022*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePneumocephalus\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6 (6.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12 (6.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e11 (8.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2 (3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.697\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEdema\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e23 (26.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e61 (33.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e49 (35.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e17 (28.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.434\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMidline Shift\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e4 (4.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5 (2.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e16 (11.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2 (3.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.005*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eScalp Hematoma\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e10 (11.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e28 (15.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e21 (15.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e7 (11.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.753\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIntraventricular Extension of hematoma\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0 (0.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6 (3.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e2 (1.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1 (1.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.295\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003e*Significant p value\u003c/h2\u003e \u003cdiv id=\"Sec16\" class=\"Section3\"\u003e \u003ch2\u003eCorrelation Analysis of CT Findings\u003c/h2\u003e \u003cp\u003eCorrelation analysis revealed a \u003cb\u003estrong positive association\u003c/b\u003e between cerebral edema and contusions (Pearson\u0026rsquo;s \u003cem\u003er\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.868, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.01). Additional significant correlations included: Skull fractures and contusions (\u003cem\u003er\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.323, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.01), Skull fractures and epidural hematomas (\u003cem\u003er\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.327, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.01), Contusions and epidural hematomas (\u003cem\u003er\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.282, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.01) These associations underscore the common co-occurrence of specific TBI features and may reflect shared mechanisms of injury (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003c/div\u003e\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis study aimed to describe the radiologic patterns of acute traumatic brain injuries (TBI) as seen on cranial CT scans in patients presenting at a tertiary hospital in southwestern Nigeria. Due to the limited data available from our region, this analysis contributed critical insights into the local burden and presentation of TBI, revealing key demographic trends, radiologic patterns, and clinically relevant associations, thus deepening our understanding of TBI in this setting.\u003c/p\u003e \u003cp\u003eOur results indicated that the majority of the patients in this study were young adults, while there was a male predominance (75.5%) (M:F\u0026thinsp;=\u0026thinsp;3:1), which is consistent with global and local patterns of TBI\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e,\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e,\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e,\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u003c/sup\u003e. This occurrence can be explained by the fact that males are more exposed to awkward and risky occupational hazards, traffic-related risks, rough sports, communal or political violence, and criminal activities \u003csup\u003e\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e,\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e,\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e. The majority of the patients are in their second decade of life (20.6%), the second highest age group are those in their fourth decade (20%) followed closely by those in their third decade of life (18.5%). Again, these three age groups, which consist of middle-aged adults, are among the most active people in the society, engaging in one work activity or another, and are always on the move to make ends meet and therefore more prone to accidents and occupational hazards. Similar trends have been reported by other researchers around the world \u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e,\u003cspan additionalcitationids=\"CR11 CR12 CR13 CR14\" citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u003c/sup\u003e. This further highlights the economic and social impact of TBI on the productive age group.\u003c/p\u003e \u003cp\u003eThis study showed that 41.4% of head-injured adults have no positive finding on cranial CT. This finding is similar to that obtained by Ugwuanyi et al \u003csup\u003e16\u003c/sup\u003e who observed a normal cranial CT finding of 39% among head-injured patients at Hansa Clinic, Enugu State, Nigeria. This close similarity in proportions of normal cranial CT findings reflects possible shared clinical protocols, similar patient demographics and injury mechanisms, and comparable diagnostic resources and limitations. Additionally, these figures are within the expected range for head injury CTs globally, particularly in cases of mild traumatic brain injury. Onwuchekwa et al\u003csup\u003e17\u003c/sup\u003e and Ohaegbulam et al\u003csup\u003e18\u003c/sup\u003e, however, noted a lesser proportion of normal CT findings, which were 35.8% and 19.9% respectively. The difference in proportion could be attributed to variation in sample sizes. In addition, as explained by Ohaegbulam during the period of their study, many head-injured patients, especially the mild ones, did not present early for cranial CT due to financial constraints.\u003c/p\u003e \u003cp\u003eSkull fractures were the most frequently detected abnormality (35.4%) found in this study, suggesting high-impact trauma, likely from road traffic accidents and falls. The strong correlation between fractures and both contusions and epidural hematomas further supports this mechanism of injury. Edema and contusions were also common, often coexisting - a finding supported by the strong statistical correlation (r\u0026thinsp;=\u0026thinsp;0.868), which highlights a shared pathophysiological response to blunt force trauma. Our finding, which favors skull fractures as the most frequently detected abnormality, aligns closely with patterns reported in both local and international literature\u003csup\u003e\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e,\u003cspan additionalcitationids=\"CR20\" citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u003c/sup\u003e. These findings are, however, contrary to those of Adekanmi et al\u003csup\u003e22\u003c/sup\u003e in Ibadan, which documented intraparenchymal bleed; Asaleye et al\u003csup\u003e14\u003c/sup\u003e in Ile-Ife, which documented subdural hemorrhage; and Akanji et al\u003csup\u003e23\u003c/sup\u003e in Lagos, which documented cerebral contusion as the most common CT finding. Overall, these findings and other previous studies highlight the persistent burden of high-impact head injuries in low- and middle-income countries like Nigeria, where levels of helmet use, obeying traffic regulations, and access to emergency neuroimaging remain inconsistent. By comparing our data with similar contexts, we reinforce the need for improved trauma prevention strategies and standardized imaging protocols in emergency care. The value of three-dimensional CT reconstruction in defining fracture morphology is highlighted in Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e.\u003c/p\u003e \u003cp\u003eA notable finding in our investigation was the significant connection between cerebral edema and contusions (r\u0026thinsp;=\u0026thinsp;0.868), indicating the same pathophysiological underlying mechanism for these injuries. Blunt trauma often leads to cerebral contusion and subsequent edema, which, if left untreated, may progress to life-threatening problems such as intracranial herniation. This emphasizes the necessity of prompt imaging and intervention in head trauma, especially in individuals who may initially appear stable. This contusion-oedema pattern is well demonstrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e.\u003c/p\u003e \u003cp\u003eIn this study, subdural and epidural hematomas were identified in approximately 10\u0026ndash;12% of cases, which closely parallels recent research findings from both Nigerian and international trauma centers. For instance, Adedire et al\u003csup\u003e24\u003c/sup\u003e reported that extra-axial hematomas totaled about 10\u0026ndash;15% of the CT findings in the study carried out at their tertiary hospital in Osogbo, Nigeria. Similarly, Kpuduwei et al \u003csup\u003e25\u003c/sup\u003e in Abuja found that around 20% of mild TBI patients had CT-identified operable lesions such as SDH and EDH. Globally, a meta-analysis of epidural hematomas estimated a global incidence of 8.2% among TBI patients\u003csup\u003e\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e\u003c/sup\u003e, while a prospective study in Ethiopia reported a similar prevalence for subdural hematoma in the acute trauma setting\u003csup\u003e\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e\u003c/sup\u003e. These hematomas are of critical clinical importance due to their potential for fast expansion, which can result in raised intracranial pressure and subsequent life-threatening brain herniation if not promptly identified. These concordance findings indicate that the patterns observed in this study are not unusual; rather, they represent a reproducible profile of extra-axial damage across comparable healthcare settings.\u003c/p\u003e \u003cp\u003eThe vulnerability of the elderly to SDH can be attributed to age-related cerebral atrophy, which stretches the bridging veins, and as such, even minor head trauma\u0026mdash;such as a low-level fall or bump - can tear these veins, leading to SDH that may evolve slowly and present late\u003csup\u003e\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e,\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e\u003c/sup\u003e. Other factors that may predispose the elderly to SDH are the presence of medical comorbidities and increased prevalence of long-term anticoagulant antiplatelet treatment for age-related diseases\u003csup\u003e\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e,\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e\u003c/sup\u003e Overall, these factors have been shown to be associated with the survival and functional outcomes in the head-injured elderly patients\u003csup\u003e\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e\u003c/sup\u003e. This phenomenon was also explained by Aziz et al\u003csup\u003e30\u003c/sup\u003e in their study carried out in London, where elderly patients presented with chronic or acute-on-chronic subdural hematomas after seemingly trivial injuries. Furthermore, the higher rate of midline shift in older adults in our cohort supports the notion that mass effect from subdural collections can progress silently in this population, partly due to the increased intracranial space available to accommodate the bleed before clinical signs appear. A classical contrecoup injury pattern is illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e. These findings reinforce a growing consensus: in elderly patients, the threshold for neuroimaging after head trauma should be low, regardless of the reported mechanism or apparent severity of injury. Prompt CT scanning in such scenarios is not only diagnostic but also potentially lifesaving. Taken together, our results agree with those of other studies that call for age-sensitive protocols in the evaluation of head injuries, particularly in settings like ours where access to imaging may be limited and clinical suspicion alone might delay definitive care\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e,\u003cspan additionalcitationids=\"CR32\" citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cdiv id=\"Sec18\" class=\"Section2\"\u003e \u003ch2\u003eEthical Considerations and Limitations\u003c/h2\u003e \u003cp\u003e Due to the retrospective design of the study, individual patient consent was not obtained. Ethical approval was, however, sought and obtained from the institution's Health Research and Ethics Committee. Potential limitations of the study include reliance on existing records, which may be incomplete or inconsistent. To correct this, cases with insufficient data were omitted. Furthermore, as the study was conducted in a hospital setting rather than a population-based context, there exists a potential for selection bias. Another drawback of this study is that diffuse axonal damage was evaluated using CT, which primarily identifies hemorrhagic lesions; hence, non-hemorrhagic DAI, more accurately detected on MRI, may have been underdiagnosed.\u003c/p\u003e \u003c/div\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study brings to the fore the burden and radiologic spectrum of TBI in a Nigerian tertiary hospital setting. Such findings emphasize the value of cranial CT as a first-line tool in acute head injury assessment and point to age- and gender-specific injury patterns that can inform targeted prevention and management. Future research should aim for prospective, multicenter analyses to deepen understanding and improve patient outcomes.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eASA, VOO, AAW and OAA, conceived and designed the study, coordinated data collection, supervised image review, performed statistical analysis, and drafted the manuscript. MKO, AOG contributed to coordinating data acquisition, literature review, and documentation of radiologic findings. AOO, AOA, and RAA participated in supervision of image review, performed statistical analysis, drafted the manuscript. All authors participated in data interpretation, critically revised the manuscript for significant intellectual content, and approved the final submitted version.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe datasets generated and analyzed during this study are available from the corresponding author on reasonable request, subject to institutional data protection regulations.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eOnwuchekwa RC, Echem RC. An epidemiologic study of traumatic head injuries in the emergency department of a tertiary health institution. \u003cem\u003eJournal of Medicine in the Tropics\u003c/em\u003e. 2018;20(1):24\u0026ndash;29.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOgunleye OO, Shuaibu IS, Obanife HO. 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Neuroimaging radiological interpretation system for acute traumatic brain injury. \u003cem\u003eJ Neurotrauma\u003c/em\u003e. 2018;35(22):2665\u0026ndash;2672.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGupta S, Kaafarani HMA, Fagenholz PJ, et al. Mild traumatic brain injuries with minor intracranial hemorrhage: Can they Be safely managed in the community? - A cohort study. \u003cem\u003eInt J Surg\u003c/em\u003e. Apr 2020;76:88\u0026ndash;92. doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.ijsu.2020.02.016\u003c/span\u003e\u003cspan address=\"10.1016/j.ijsu.2020.02.016\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Head injury, Computed tomography, skull fractures, Traumatic brain injury, Elderly.","lastPublishedDoi":"10.21203/rs.3.rs-8655338/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8655338/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground:\u003c/h2\u003e \u003cp\u003eHead injury (HI) also regarded as traumatic brain injury (TBI) constitutes injury that occurs to the brain as a result of trauma. It remains a significant cause of morbidity and mortality globally, particularly in low-and middle-income countries like Nigeria. It is thought to be a varied, dynamic pathophysiological process that begins at the point of impact and goes on throughout time, with consequences possibly manifesting years after the original incidence. However, there is paucity of local data describing CT finding in patients with acute TBI in southwestern Nigeria within the last ten years. This study aims to determine the incidence of the findings in head-injured patients who underwent cranial CT imaging and to describe the common CT findings among these patients.\u003c/p\u003e\u003ch2\u003eMethods:\u003c/h2\u003e \u003cp\u003eThis retrospective study reviewed the CT scan and medical records of adult patients (\u0026ge;\u0026thinsp;18years) who presented with acute head injury and underwent non-contrast CT scan at a tertiary teaching Hospital in southwestern Nigeria between January 2021 and December 2023. The CT findings documented were skull fractures, hemorrhages, brain contusion, brain oedema. Midline shift and other intracranial abnormalities. Data collected were analyzed using IBM SPSS Statistics (Version 27). Descriptive and inferential statistics were used, with significance set at \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05.\u003c/p\u003e\u003ch2\u003eResults:\u003c/h2\u003e \u003cp\u003eA total of 466 patients were included, with a male-to-female ratio of approximately 3:1. The median age was 35 years (IQR 23\u0026ndash;48). The most frequently observed CT finding were skull fractures (35.4%), followed by cerebral edema (32.2%) and brain contusions (27.3%). Subdural and epidural hematomas were seen in 11.8% and 9.9% of cases, respectively. Cerebral edema and contusions showed a strong positive correlation (\u003cem\u003er\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.868). Males had significantly higher rates of skull fractures (p\u0026thinsp;=\u0026thinsp;0.001), contusions (p\u0026thinsp;=\u0026thinsp;0.007), and edema (p\u0026thinsp;=\u0026thinsp;0.014). Subdural hematomas with associated midline shifts were more common among older patients (p\u0026thinsp;=\u0026thinsp;0.019 and 0.005, respectively).\u003c/p\u003e\u003ch2\u003eConclusion:\u003c/h2\u003e \u003cp\u003eIn this study involving patients with acute TBI, the most common CT findings were skull fractures, cerebral edema, and contusions. The significant correlation between certain injury patterns underscores the importance of timely CT evaluation, particularly in older adults and in cases of high-impact trauma. These findings highlight the need for imaging protocols that support early diagnosis and tailored management of TBI in our region\u003c/p\u003e","manuscriptTitle":"Pattern of computed tomography findings among acute traumatic brain injury patients at a tertiary institution in southwestern Nigeria","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-02-02 09:43:37","doi":"10.21203/rs.3.rs-8655338/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"0f35d292-1099-488c-a0e9-4c6e19bb9baf","owner":[],"postedDate":"February 2nd, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-03-05T07:57:10+00:00","versionOfRecord":[],"versionCreatedAt":"2026-02-02 09:43:37","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8655338","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8655338","identity":"rs-8655338","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}