How much tumor volume is responsible for development of clinical symptoms in patients with convexity, parasagittal, and falx meningiomas?

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Abstract Purpose Meningiomas are the most common primary intracranial neoplasms. Their volume and location are important factors related to the appearance of clinical symptoms. This study aimed to identify factors that influence clinical symptoms and to determine a specific threshold tumor volume for the prediction of symptomatic progression in patients with convexity, parasagittal, and falx meningiomas. Methods We retrospectively studied patients with radiologically suspected convexity, parasagittal, or falx meningiomas at our institution. Results The data of three hundred thirty-three patients were analyzed. We further divided patients into two groups based on clinical symptoms: as asymptomatic group (250 cases) and a symptomatic group (83 cases). Univariate analysis revealed significant differences between the groups in terms of sex (p = 0.002), age at the time of volumetric analysis (p < 0.001), hyperintense lesions on T2-weighted images (p = 0.029), peritumoral edema (p < 0.001), maximum tumor diameter (p < 0.001), and tumor volume (p < 0.001). Further multivariate analysis revealed significant differences between the groups in terms of age at the time of volumetric analysis (p = 0.002), peritumoral edema (p < 0.001), and tumor volume (p < 0.001). Receiver operating characteristic curve revealed a threshold tumor volume of 21.1 ml for predicting whether a patient would develop symptoms (sensitivity 0.843, specificity 0.880, an area under the curve 0.919 [95% confidence interval: 0.887–0.951]). Conclusion We identified factors predictive of clinical symptoms in patients with convexity, parasagittal, and falx meningiomas and determined the first-ever threshold tumor volume for predicting symptomatic progression in such patients.
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How much tumor volume is responsible for development of clinical symptoms in patients with convexity, parasagittal, and falx meningiomas? | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article How much tumor volume is responsible for development of clinical symptoms in patients with convexity, parasagittal, and falx meningiomas? Shuhei Yamada, Noriyuki Kijima, Tomoyoshi Nakagawa, Ryuichi Hirayama, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-437289/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 17 Nov, 2021 Read the published version in Frontiers in Neurology → Version 1 posted You are reading this latest preprint version Abstract Purpose Meningiomas are the most common primary intracranial neoplasms. Their volume and location are important factors related to the appearance of clinical symptoms. This study aimed to identify factors that influence clinical symptoms and to determine a specific threshold tumor volume for the prediction of symptomatic progression in patients with convexity, parasagittal, and falx meningiomas. Methods We retrospectively studied patients with radiologically suspected convexity, parasagittal, or falx meningiomas at our institution. Results The data of three hundred thirty-three patients were analyzed. We further divided patients into two groups based on clinical symptoms: as asymptomatic group (250 cases) and a symptomatic group (83 cases). Univariate analysis revealed significant differences between the groups in terms of sex ( p = 0.002), age at the time of volumetric analysis ( p < 0.001), hyperintense lesions on T2-weighted images ( p = 0.029), peritumoral edema ( p < 0.001), maximum tumor diameter ( p < 0.001), and tumor volume ( p < 0.001). Further multivariate analysis revealed significant differences between the groups in terms of age at the time of volumetric analysis ( p = 0.002), peritumoral edema ( p < 0.001), and tumor volume ( p < 0.001). Receiver operating characteristic curve revealed a threshold tumor volume of 21.1 ml for predicting whether a patient would develop symptoms (sensitivity 0.843, specificity 0.880, an area under the curve 0.919 [95% confidence interval: 0.887–0.951]). Conclusion We identified factors predictive of clinical symptoms in patients with convexity, parasagittal, and falx meningiomas and determined the first-ever threshold tumor volume for predicting symptomatic progression in such patients. Neurobiology of Disease convexity meningioma falx meningioma parasagittal meningioma symptomatic progression tumor volume Figures Figure 1 Figure 2 Introduction Meningiomas are the most common primary intracranial tumors, accounting for approximately 25%-38% of all such lesions [1, 2]. The number of incidentally discovered meningiomas has increased with the widespread use of neuroimaging modalities such as computed tomography and magnetic resonance imaging (MRI). In fact, radiological studies have revealed that neuroimaging could incidentally reveal suspected meningioma lesions with an incidence ranging from 0.9% to 2.5% in individuals aged in their middle years and older [3, 4]. On the other hand, meningiomas are often discovered because of a variety of symptoms, including motor and sensory deficits, cognitive decline, and epilepsy [5–7]. However, the factors that determine whether a lesion is symptomatic remain unclear. Meningiomas are benign neoplasms that can exhibit a variety of growth patterns [8, 9] and, eventually, 67%-75% of them enlarge [6, 9, 10]. In one study, tumor volume was statistically significantly related to the appearance of clinical symptoms [5]. In recent meta-analyses, the authors observed that 4.7%-8.1% of patients with incidentally discovered intracranial meningiomas developed related symptoms at follow-up visits [10, 11]. However, the specific locations of the tumors were not examined in either report. The location of such a tumor is important as it is related to the symptoms a patient will experience [7], as well as the clinical and biological behavior of the tumor [12, 13]. Convexity, parasagittal, and falx meningiomas account for almost 50% of all meningiomas [14]. In the report in which the association between tumor volume and clinical symptoms were observed in intracranial meningiomas, nearly half of the cases were skull-base meningiomas [5]. Convexity, parasagittal, and falx meningiomas differ from skull-base meningiomas in that they are located in the supratentorial space and do not involve cranial nerves. Thus, the tumor volume that causes clinical symptoms differs between supratentorial and skull-base meningiomas, and it is important to analyze the tumor volume that causes clinical symptoms exclusively for convexity, parasagittal, and falx meningiomas. The purpose of this retrospective study was to identify factors that influence clinical symptoms and to determine a specific threshold tumor volume for the prediction of symptomatic progression in patients with convexity, parasagittal, and falx meningiomas. Methods Study design and patient selection We conducted a retrospective case-control study of patients with radiologically suspected convexity, parasagittal, or falx meningiomas. We collected data from patients whose first visit was from 1990 to 2020 at our institution. We excluded patients diagnosed with neurofibromatosis, those for whom MRI Digital Imaging and Communications in Medicine (DICOM) data were not available, and those whose symptoms were unknown due to insufficient medical records of their first visit. When patients had more than one convexity, parasagittal, or falx meningioma, we selected the largest one for analysis. The Osaka University Clinical Research Review Committee approved the study (approval number 14231) and waived the need for written informed consent, as all data were retrospective. Definition of symptoms We determined from their medical records whether patients had clinical findings, which we defined as clinical symptoms. We further defined neurological symptoms as excluding epilepsy or non-specific symptoms such as headache. Volumetric analysis We measured the volume of each lesion using the latest MRI DICOM data for asymptomatic patients or the MRI DICOM data at the time of symptom onset for symptomatic patients. We used Horos for macOS to perform the measurements (Horos is a free and open-source code software program that is distributed free of charge under the LGPL license at Horosproject.org and sponsored by Nimble Co LLC d/b/a Purview in Annapolis, MD USA). We measured the tumor area in each slice by manually tracing the tumor boundary. Thereafter, we multiplied the sum of all the areas by the thickness between slices, including the gaps. Tumor diameter We used the same MRI DICOM data as for volumetric analysis to measure tumor diameter. The maximum tumor diameter was determined using either axial, coronal, or sagittal images. Tumor location and side The lead author (S.Y.) carefully determined the locations of the lesions via MRI, which was independently confirmed by the senior author (N.K.). We divided tumor location in two ways: convexity, parasagittal angle, and falx cerebri; or right, midline, and left. Interpretation of T2-weighted images We classified lesions as hyperintense if the mean signal intensity of the tumor was at least 1.3 times higher than that of the deep white matter on T2-weighted images (T2WIs). Other lesions were classified as “others,” including those that were too heterogeneous to classify. One case was excluded from analysis because the lesion was too small to evaluate. Statistical analysis All statistical analyses were performed using R 3.6.3 for Windows (www.R-project.org; R Foundation for Statistical Computing, Vienna, Austria). Statistical differences for categorical variables were examined using a two-tailed Fisher’s exact test. Continuous variables were assessed using the Mann-Whitney U test. Multivariate logistic regression analysis was performed with variables that were significant in those univariate analyses. The thresholds were calculated by receiver operating characteristic (ROC) analysis using the Youden index. Probability values < 0.05 were considered significant. Results Overall patient cohort Figure 1 illustrates the flow of patient selection. The data of three hundred thirty-three patients (84 male and 249 female) were analyzed. The median age at volumetric analysis was 70 years (range 23-90 years). We further divided patients into two groups based on clinical symptoms: an asymptomatic group (250 cases) and a symptomatic group (83 cases). Comparison between the asymptomatic and symptomatic groups Table 1 summarizes the characteristics of each group. Univariate analysis revealed significant differences between the groups in terms of sex ( p = 0.002), age at the time of volumetric analysis ( p < 0.001), hyperintense lesions on T2WIs ( p = 0.029), peritumoral edema ( p < 0.001), maximum tumor diameter ( p < 0.001), and tumor volume ( p < 0.001, Figure 2a ). For multivariate analysis, the maximum tumor diameter was excluded as it is a similar metric to tumor volume [15]. Multivariate analysis revealed significant differences between the groups in terms of age at the time of volumetric analysis ( p = 0.002), peritumoral edema ( p < 0.001), and tumor volume ( p < 0.001). The odds ratio for peritumoral edema was 5.94 (95% confidence interval [CI]: 2.74-12.86). Thresholds for predicting development of symptoms Patients in the symptomatic group experienced motor deficits (37 cases), epilepsy (18 cases), gait disorder (7 cases), visual impairment (7 cases), cognitive decline (6 cases), aphasia (4 cases), headaches (2 cases), sensory deficits (1 case), and a subcutaneous mass (1 case). The ROC curve revealed a threshold tumor volume of 21.1 ml for predicting whether a patient would develop symptoms, with a sensitivity of 0.843, a specificity of 0.880, and an area under the curve (AUC) of 0.919 ( Figure 2b , 95% CI: 0.887-0.951). In addition, a threshold maximum tumor diameter of 40 mm may also be a reliable marker for predicting which patients will become symptomatic, with a sensitivity of 0.819, a specificity of 0.840, and an AUC of 0.893 (95% CI: 0.856-0.930). For 13 patients in the symptomatic group, we obtained MRI DICOM data when they had been asymptomatic at their first visit. Of these, the 21.1-ml and 40-mm threshold correctly predicted the development of symptoms in seven cases (54%). Threshold for predicting development of neurological symptoms When focusing only on neurological symptoms (62 cases), the threshold for tumor volume was also 21.1 ml (sensitivity 0.871, specificity 0.880, AUC 0.937 [95% CI: 0.910-0.965]). The threshold for maximum tumor diameter for prediction of neurological symptoms was almost the same as that for all symptoms: 41 mm (sensitivity 0.839, specificity 0.856, AUC 0.914 [95% CI: 0.880-0.948]). Correlation between tumor volume and tumor side Table 2 displays the difference in tumor volume between the asymptomatic and symptomatic groups, depending on the side where the tumor was located. On each side, the tumor volume was significantly larger in the symptomatic than in the asymptomatic group ( p < 0.001). The threshold for predicting patients in which symptoms would develop was similar: 21.1 ml for right-sided and 22.7 ml for left-sided meningiomas. Comparison by WHO grade Thirty-three patients in the asymptomatic and 77 in the symptomatic group received surgical treatment. Of the 110 patients, the meningiomas of 90 (81.8%) were World Health Organization (WHO) grade I, 10 (9.1%) were WHO grade II, 3 (2.7%) were WHO grade III, and 7 (6.4%) were not mentioned in WHO grade. There were no significant differences between patients with WHO grade I and those with WHO grade II/III meningiomas, except in the maximum tumor diameter, which was larger in the latter than in the former ( Table 3 ). Discussion In the present study, we identified factors that are related to clinical symptoms of patients with convexity, parasagittal, and falx meningiomas, and, to our knowledge, we determined the first-ever threshold of tumor volume for predicting symptomatic progression in such patients. This may allow clinicians to predict when a growing, asymptomatic meningioma will become symptomatic. Currently, observation is the first choice for management of patients with asymptomatic meningiomas [16]; these results may be useful to determine the necessity of treatment and its appropriate timing. In this study, we also determined a threshold maximum tumor diameter of 40 mm for the prediction of symptomatic progression of patients (sensitivity 0.819, specificity 0.840, AUC 0.893). However, a tumor volume of 21.1 ml was a more accurate threshold (sensitivity 0.843, specificity 0.880, AUC 0.919). Maximum tumor diameter and tumor volume are highly correlated [15]. However, tumors do not always grow in the direction of their maximum diameter, which may be why we discovered tumor volume to be the more accurate predictive factor. Maximum tumor diameter is one of the most convenient clinical metrics; however, our results indicate that the development and widespread use of a simple method to measure tumor volume is needed. Meningiomas manifest in a variety of symptoms [7], including non-specific symptoms such as headaches and dizziness [6]. In this study, we also calculated thresholds for tumor volume and maximum tumor diameter to predict the development of neurological symptoms. However, the thresholds were similar to those for all clinical symptoms. Therefore, it may be less important for clinicians to examine whether non-specific symptoms are caused by a given meningioma. The hemisphere in which glioblastomas and strokes occur affects the symptoms that the patient experiences [17, 18]; however, in this study of meningiomas, we detected no differences in the threshold of tumor volume regardless of the tumor localization. This may be because few patients presented with cognitive decline (7%) or aphasia (5%), both of which may depend on the affected hemisphere. Therefore, further studies are needed to validate our findings. We should note that this study has several limitations. The first is the fact that this was a single-center, retrospective study conducted in Japan. As Japan has the largest number of MRIs per unit population in the world [19], a larger proportion of small, asymptomatic meningiomas may be detected than in other countries. This would have lowered the thresholds of tumor volume and maximum tumor diameter for predicting symptomatic progression of patients in this study. The second limitation is the possibility of errors in volumetric measurements. Volumetric measurement may be inaccurate especially for small tumors [20], and manual segmentation may be inconsistent [21]. Finally, this study was conducted on radiologically presumed meningiomas; therefore, 2.9%-3.4% of our study population may actually have had other tumors [9, 22]. Conclusion In the present study, we identified factors predictive of clinical symptoms in patients with convexity, parasagittal, and falx meningiomas and, to our knowledge, determined the first-ever threshold tumor volume for predicting symptomatic progression in such patients. These results may be useful in allowing clinicians to estimate when a growing, asymptomatic meningioma will develop clinical symptoms, thereby improving management of patients with the disease. Declarations Funding Not applicable Conflicts of Interest We declare that we have no conflict of interest. Availability of data and material Data are available upon reasonable request. Code availability Not applicable Authors’ contributions SY and NoK contributed to the concept, drafting, and writing the manuscript. TN contributed to the acquisition of date. RH and NaK contributed to the manuscript editing. MK contributed to the provision of insightful thought and design. HK contributed to the study supervision. Ethics approval The Osaka University Clinical Research Review Committee approved the study (approval number 14231). Consent to participate The Osaka University Clinical Research Review Committee waived the need for written informed consent. Consent for publication Not applicable Acknowledgments We would like to thank Editage (www.editage.com) for English language editing. References Claus EB, Bondy ML, Schildkraut JM, et al (2005) Epidemiology of intracranial meningioma. Neurosurgery 57:1088–1094. https://doi.org/10.1227/01.NEU.0000188281.91351.B9 Ostrom QT, Patil N, Cioffi G, et al (2020) CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2013-2017. Neuro Oncol 22:iv1–iv96. https://doi.org/10.1093/neuonc/noaa200 Vernooij MW, Ikram MA, Tanghe HL, et al (2007) Incidental Findings on Brain MRI in the General Population. N Engl J Med 357:1821–1828. https://doi.org/10.1056/nejmoa070972 Bos D, Adams HHH, Zonneveld HI, et al (2016) Course of Incidental Findings on Brain MR Images : The Population-. Radiology 000:1–9 Kauke M, Safi AF, Stavrinou P, et al (2019) Does Meningioma Volume Correlate With Clinical Disease Manifestation Irrespective of Histopathologic Tumor Grade? J Craniofac Surg 30:e799–e802. https://doi.org/10.1097/SCS.0000000000005845 Kim KH, Kang SJ, Choi J-W, et al (2019) Clinical and radiological outcomes of proactive Gamma Knife surgery for asymptomatic meningiomas compared with the natural course without intervention. J Neurosurg 130:1740–1749. https://doi.org/10.3171/2017.12.JNS171943 Fathi AR, Roelcke U (2013) Meningioma. 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World Neurosurg 94:80–88. https://doi.org/10.1016/j.wneu.2016.06.108 Goldbrunner R, Minniti G, Preusser M, et al (2016) EANO guidelines for the diagnosis and treatment of meningiomas. Lancet Oncol 17:e383–e391. https://doi.org/10.1016/S1470-2045(16)30321-7 Baumann C, Tichy J, Schaefer JH, et al (2020) Delay in diagnosing patients with right-sided glioblastoma induced by hemispheric-specific clinical presentation. J Neurooncol 146:63–69. https://doi.org/10.1007/s11060-019-03335-4 Foerch C, Misselwitz B, Sitzer M, et al (2005) Difference in recognition of right and left hemispheric stroke. Lancet 366:392–393. https://doi.org/10.1016/S0140-6736(05)67024-9 Matsumoto M, Koike S, Kashima S, Awai K (2015) Geographic distribution of CT, MRI and PET devices in Japan: A longitudinal analysis based on national census data. 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Characteristics of 333 patients and tumors Variable Asymptomatic group (n = 250) Symptomatic group (n = 83) p value OR (95% CI) univariate multivariate Sex (Male / Female) 52 / 198 32 / 51 0.002 0.140 1.79 (0.83-3.86) Age at volumetric analysis (yrs) *1 72 (23-90) 63 (31-89) < 0.001 0.002 - Tumor location (Convexity / Parasagittal / Falx) 138 / 58 / 54 35 / 25 / 23 0.115 - - Tumor side (Right / Midline/ Left) 122 / 6 / 122 41 / 1 / 41 1 - - MRI T2WI (Hyper / Others) *2 162 / 87 65 / 18 0.029 0.154 1.82 (0.80-4.16) Multiple lesions (Yes / No) 22 / 228 4 / 79 0.345 - - Peritumoral edema (Yes / No) 60 / 190 69 / 14 < 0.001 < 0.001 5.94 (2.74-12.86) Maximum tumor diameter (mm ) *1 24 (5-78) 52 (18-100) < 0.001 - - Tumor volume (ml) *1 5.0 (0.1-148.0) 45.7 (2.8-188.9) < 0.001 < 0.001 - *1 Median (range) *2 Too small to evaluate: n = 1 95% CI: 95% confidence interval Table 2. Correlation between tumor side and tumor volume (ml) Tumor side Asymptomatic group (n = 244) Symptomatic group (n = 82) p value AUC (95% CI) Threshold (ml) Right (n=163) 4.6 (0.1-148.0) 47.9 (6.0-188.9) < 0.001 0.929 (0.888-0.970) 21.1 Left (n=163) 5.5 (0.2-129.7) 44.7 (2.8-158.1) < 0.001 0.903 (0.851-0.955) 22.7 AUC: Area under the curve 95% CI: 95% confidence interval Cite Share Download PDF Status: Published Journal Publication published 17 Nov, 2021 Read the published version in Frontiers in Neurology → Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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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-437289","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":22322948,"identity":"a97137e2-5462-4c94-ad52-eb3ea44dca62","order_by":0,"name":"Shuhei Yamada","email":"","orcid":"","institution":"Osaka University: Osaka Daigaku","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Shuhei","middleName":"","lastName":"Yamada","suffix":""},{"id":22322949,"identity":"a132fb1e-7622-474a-8f0f-5760db5e93a9","order_by":1,"name":"Noriyuki 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Daigaku","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Naoki","middleName":"","lastName":"Kagawa","suffix":""},{"id":22322954,"identity":"a90f80cf-09e7-4127-a464-561424a86f19","order_by":6,"name":"Haruhiko Kishima","email":"","orcid":"","institution":"Osaka University: Osaka Daigaku","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Haruhiko","middleName":"","lastName":"Kishima","suffix":""}],"badges":[],"createdAt":"2021-04-18 14:53:27","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-437289/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-437289/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.3389/fneur.2021.769656","type":"published","date":"2021-11-17T06:29:06+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":8305237,"identity":"be19a255-34de-452a-9ad7-555554399abf","added_by":"auto","created_at":"2021-04-21 22:17:36","extension":"tif","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":599184,"visible":true,"origin":"","legend":"Flow of patient selection and classification","description":"","filename":"Fig.1JournalofNeuroOncology.tif","url":"https://assets-eu.researchsquare.com/files/rs-437289/v1/2d410c838840a6d5b05a97a8.tif"},{"id":8305531,"identity":"92fe72fb-3a3c-4952-bbd0-91363ba01185","added_by":"auto","created_at":"2021-04-21 22:20:36","extension":"tif","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":1650987,"visible":true,"origin":"","legend":"A) Box-and-whisker plots representing tumor volume of an asymptomatic group and symptomatic group\nThe median tumor volume of an asymptomatic group and symptomatic group were 5.0 ml and 45.7 ml, respectively.\nP-value for the Mann-Whitney U test: \u003c 0.001\nB) Receiver operating characteristic curve for predicting which patients will become symptomatic patient via tumor volume\nArea under the curve: 0.919\nThreshold for tumor volume: 21.1 ml\n","description":"","filename":"Fig.2JournalofNeuroOncology.tif","url":"https://assets-eu.researchsquare.com/files/rs-437289/v1/b14056e03b91cb4fee97bd80.tif"},{"id":15616419,"identity":"8501c448-041b-4124-9175-c9c6a1245d81","added_by":"auto","created_at":"2021-11-17 06:29:19","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3694794,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-437289/v1/acc4a0d5-429c-4731-bdc2-ac9d7ec978ce.pdf"}],"financialInterests":"","formattedTitle":"How much tumor volume is responsible for development of clinical symptoms in patients with convexity, parasagittal, and falx meningiomas?","fulltext":[{"header":"Introduction","content":"\u003cp\u003eMeningiomas are the most common primary intracranial tumors, accounting for approximately 25%-38% of all such lesions [1, 2]. The number of incidentally discovered meningiomas has increased with the widespread use of neuroimaging modalities such as computed tomography and magnetic resonance imaging (MRI). In fact, radiological studies have revealed that neuroimaging could incidentally reveal suspected meningioma lesions with an incidence ranging from 0.9% to 2.5% in individuals aged in their middle years and older [3, 4]. On the other hand, meningiomas are often discovered because of a variety of symptoms, including motor and sensory deficits, cognitive decline, and epilepsy [5\u0026ndash;7]. However, the factors that determine whether a lesion is symptomatic remain unclear.\u003c/p\u003e\n\u003cp\u003eMeningiomas are benign neoplasms that can exhibit a variety of growth patterns [8, 9] and, eventually, 67%-75% of them enlarge [6, 9, 10]. In one study, tumor volume was statistically significantly related to the appearance of clinical symptoms [5]. In recent meta-analyses, the authors observed that 4.7%-8.1% of patients with incidentally discovered intracranial meningiomas developed related symptoms at follow-up visits [10, 11]. However, the specific locations of the tumors were not examined in either report. The location of such a tumor is important as it is related to the symptoms a patient will experience [7], as well as the clinical and biological behavior of the tumor [12, 13].\u003c/p\u003e\n\u003cp\u003eConvexity, parasagittal, and falx meningiomas account for almost 50% of all meningiomas [14]. In the report in which the association between tumor volume and clinical symptoms were observed in intracranial meningiomas, nearly half of the cases were skull-base meningiomas [5]. Convexity, parasagittal, and falx meningiomas differ from skull-base meningiomas in that they are located in the supratentorial space and do not involve cranial nerves. Thus, the tumor volume that causes clinical symptoms differs between supratentorial and skull-base meningiomas, and it is important to analyze the tumor volume that causes clinical symptoms exclusively for convexity, parasagittal, and falx meningiomas.\u003c/p\u003e\n\u003cp\u003eThe purpose of this retrospective study was to identify factors that influence clinical symptoms and to determine a specific threshold tumor volume for the prediction of symptomatic progression in patients with convexity, parasagittal, and falx meningiomas.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cem\u003eStudy design and patient selection\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eWe conducted a retrospective case-control study of patients with radiologically suspected convexity, parasagittal, or falx meningiomas. We collected data from patients whose first visit was from 1990 to 2020 at our institution. We excluded patients diagnosed with neurofibromatosis, those for whom MRI Digital Imaging and Communications in Medicine (DICOM) data were not available, and those whose symptoms were unknown due to insufficient medical records of their first visit. When patients had more than one convexity, parasagittal, or falx meningioma, we selected the largest one for analysis. The Osaka University Clinical Research Review Committee approved the study (approval number 14231) and waived the need for written informed consent, as all data were retrospective.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eDefinition\u003c/em\u003e\u003cem\u003e of symptoms\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eWe determined from their medical records whether patients had clinical findings, which we defined as clinical symptoms. We further defined neurological symptoms as excluding epilepsy or non-specific symptoms such as headache.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eVolumetric analysis\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eWe measured the volume of each lesion using the latest MRI DICOM data for asymptomatic patients or the MRI DICOM data at the time of symptom onset for symptomatic patients. We used Horos for macOS to perform the measurements (Horos is a free and open-source code software program that is distributed free of charge under the LGPL license at Horosproject.org and sponsored by Nimble Co LLC d/b/a Purview in Annapolis, MD USA). We measured the tumor area in each slice by manually tracing the tumor boundary. Thereafter, we multiplied the sum of all the areas by the thickness between slices, including the gaps.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eTumor diameter\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eWe used the same MRI DICOM data as for volumetric analysis to measure tumor diameter. The maximum tumor diameter was determined using either axial, coronal, or sagittal images.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eTumor location and side\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe lead author (S.Y.) carefully determined the locations of the lesions via MRI, which was independently confirmed by the senior author (N.K.). We divided tumor location in two ways: convexity, parasagittal angle, and falx cerebri; or right, midline, and left.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eInterpretation of T2-weighted images\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eWe classified lesions as hyperintense if the mean signal intensity of the tumor was at least 1.3 times higher than that of the deep white matter on T2-weighted images (T2WIs). Other lesions were classified as \u0026ldquo;others,\u0026rdquo; including those that were too heterogeneous to classify. One case was excluded from analysis because the lesion was too small to evaluate.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eStatistical analysis\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eAll statistical analyses were performed using R 3.6.3 for Windows (www.R-project.org; R Foundation for Statistical Computing, Vienna, Austria). Statistical differences for categorical variables were examined using a two-tailed Fisher\u0026rsquo;s exact test. Continuous variables were assessed using the Mann-Whitney U test. Multivariate logistic regression analysis was performed with variables that were significant in those univariate analyses. The thresholds were calculated by receiver operating characteristic (ROC) analysis using the Youden index. Probability values \u0026lt; 0.05 were considered significant.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cem\u003eOverall patient cohort\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure 1\u003c/strong\u003e illustrates the flow of patient selection. The data of three hundred thirty-three patients (84 male and 249 female) were analyzed. The median age at volumetric analysis was 70 years (range 23-90 years). We further divided patients into two groups based on clinical symptoms: an asymptomatic group (250 cases) and a symptomatic group (83 cases).\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eComparison between the asymptomatic and symptomatic groups\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1\u003c/strong\u003e summarizes the characteristics of each group. Univariate analysis revealed significant differences between the groups in terms of sex (\u003cem\u003ep\u003c/em\u003e = 0.002), age at the time of volumetric analysis (\u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001), hyperintense lesions on T2WIs (\u003cem\u003ep \u003c/em\u003e= 0.029), peritumoral edema (\u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001), maximum tumor diameter (\u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001), and tumor volume (\u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001, \u003cstrong\u003eFigure 2a\u003c/strong\u003e). For multivariate analysis, the maximum tumor diameter was excluded as it is a similar metric to tumor volume [15]. Multivariate analysis revealed significant differences between the groups in terms of age at the time of volumetric analysis (\u003cem\u003ep\u003c/em\u003e = 0.002), peritumoral edema (\u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001), and tumor volume (\u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001). The odds ratio for peritumoral edema was 5.94 (95% confidence interval [CI]: 2.74-12.86).\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eThresholds for predicting development of symptoms\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003ePatients in the symptomatic group experienced motor deficits (37 cases), epilepsy (18 cases), gait disorder (7 cases), visual impairment (7 cases), cognitive decline (6 cases), aphasia (4 cases), headaches (2 cases), sensory deficits (1 case), and a subcutaneous mass (1 case). The ROC curve revealed a threshold tumor volume of 21.1 ml for predicting whether a patient would develop symptoms, with a sensitivity of 0.843, a specificity of 0.880, and an area under the curve (AUC) of 0.919 (\u003cstrong\u003eFigure 2b\u003c/strong\u003e, 95% CI: 0.887-0.951). In addition, a threshold maximum tumor diameter of 40 mm may also be a reliable marker for predicting which patients will become symptomatic, with a sensitivity of 0.819, a specificity of 0.840, and an AUC of 0.893 (95% CI: 0.856-0.930). For 13 patients in the symptomatic group, we obtained MRI DICOM data when they had been asymptomatic at their first visit. Of these, the 21.1-ml and 40-mm threshold correctly predicted the development of symptoms in seven cases (54%).\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eThreshold for predicting development of neurological symptoms \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eWhen focusing only on neurological symptoms (62 cases), the threshold for tumor volume was also 21.1 ml (sensitivity 0.871, specificity 0.880, AUC 0.937 [95% CI: 0.910-0.965]). The threshold for maximum tumor diameter for prediction of neurological symptoms was almost the same as that for all symptoms: 41 mm (sensitivity 0.839, specificity 0.856, AUC 0.914 [95% CI: 0.880-0.948]).\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eCorrelation between tumor volume and tumor side\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2\u003c/strong\u003e displays the difference in tumor volume between the asymptomatic and symptomatic groups, depending on the side where the tumor was located. On each side, the tumor volume was significantly larger in the symptomatic than in the asymptomatic group (\u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001). The threshold for predicting patients in which symptoms would develop was similar: 21.1 ml for right-sided and 22.7 ml for left-sided meningiomas.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eComparison by WHO grade\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThirty-three patients in the asymptomatic and 77 in the symptomatic group received surgical treatment. Of the 110 patients, the meningiomas of 90 (81.8%) were World Health Organization (WHO) grade I, 10 (9.1%) were WHO grade II, 3 (2.7%) were WHO grade III, and 7 (6.4%) were not mentioned in WHO grade. There were no significant differences between patients with WHO grade I and those with WHO grade II/III meningiomas, except in the maximum tumor diameter, which was larger in the latter than in the former (\u003cstrong\u003eTable 3\u003c/strong\u003e).\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eIn the present study, we identified factors that are related to clinical symptoms of patients with convexity, parasagittal, and falx meningiomas, and, to our knowledge, we determined the first-ever threshold of tumor volume for predicting symptomatic progression in such patients. This may allow clinicians to predict when a growing, asymptomatic meningioma will become symptomatic. Currently, observation is the first choice for management of patients with asymptomatic meningiomas [16]; these results may be useful to determine the necessity of treatment and its appropriate timing.\u003c/p\u003e\n\u003cp\u003eIn this study, we also determined a threshold maximum tumor diameter of 40 mm for the prediction of symptomatic progression of patients (sensitivity 0.819, specificity 0.840, AUC 0.893). However, a tumor volume of 21.1 ml was a more accurate threshold (sensitivity 0.843, specificity 0.880, AUC 0.919). Maximum tumor diameter and tumor volume are highly correlated [15]. However, tumors do not always grow in the direction of their maximum diameter, which may be why we discovered tumor volume to be the more accurate predictive factor. Maximum tumor diameter is one of the most convenient clinical metrics; however, our results indicate that the development and widespread use of a simple method to measure tumor volume is needed.\u003c/p\u003e\n\u003cp\u003eMeningiomas manifest in a variety of symptoms [7], including non-specific symptoms such as headaches and dizziness [6]. In this study, we also calculated thresholds for tumor volume and maximum tumor diameter to predict the development of neurological symptoms. However, the thresholds were similar to those for all clinical symptoms. Therefore, it may be less important for clinicians to examine whether non-specific symptoms are caused by a given meningioma.\u003c/p\u003e\n\u003cp\u003eThe hemisphere in which glioblastomas and strokes occur affects the symptoms that the patient experiences [17, 18]; however, in this study of meningiomas, we detected no differences in the threshold of tumor volume regardless of the tumor localization. This may be because few patients presented with cognitive decline (7%) or aphasia (5%), both of which may depend on the affected hemisphere. Therefore, further studies are needed to validate our findings.\u003c/p\u003e\n\u003cp\u003eWe should note that this study has several limitations. The first is the fact that this was a single-center, retrospective study conducted in Japan. As Japan has the largest number of MRIs per unit population in the world [19], a larger proportion of small, asymptomatic meningiomas may be detected than in other countries. This would have lowered the thresholds of tumor volume and maximum tumor diameter for predicting symptomatic progression of patients in this study. The second limitation is the possibility of errors in volumetric measurements. Volumetric measurement may be inaccurate especially for small tumors [20], and manual segmentation may be inconsistent [21]. Finally, this study was conducted on radiologically presumed meningiomas; therefore, 2.9%-3.4% of our study population may actually have had other tumors [9, 22].\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIn the present study, we identified factors predictive of clinical symptoms in patients with convexity, parasagittal, and falx meningiomas and, to our knowledge, determined the first-ever threshold tumor volume for predicting symptomatic progression in such patients. These results may be useful in allowing clinicians to estimate when a growing, asymptomatic meningioma will develop clinical symptoms, thereby improving management of patients with the disease.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cem\u003eFunding\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eConflicts of Interest\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eWe declare that we have no conflict of interest.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAvailability of data and material\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eData are available upon reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eCode availability\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAuthors\u0026rsquo; contributions\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eSY and NoK contributed to the concept, drafting, and writing the manuscript. TN contributed to the acquisition of date. RH and NaK contributed to the manuscript editing. MK contributed to the provision of insightful thought and design. HK contributed to the study supervision.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eEthics approval\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe Osaka University Clinical Research Review Committee approved the study (approval number 14231).\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eConsent to participate\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe Osaka University Clinical Research Review Committee waived the need for written informed consent.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eConsent for publication\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe would like to thank Editage (www.editage.com) for English language editing.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eClaus EB, Bondy ML, Schildkraut JM, et al (2005) Epidemiology of intracranial meningioma. Neurosurgery 57:1088\u0026ndash;1094. https://doi.org/10.1227/01.NEU.0000188281.91351.B9\u003c/li\u003e\n\u003cli\u003eOstrom QT, Patil N, Cioffi G, et al (2020) CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2013-2017. Neuro Oncol 22:iv1\u0026ndash;iv96. https://doi.org/10.1093/neuonc/noaa200\u003c/li\u003e\n\u003cli\u003eVernooij MW, Ikram MA, Tanghe HL, et al (2007) Incidental Findings on Brain MRI in the General Population. N Engl J Med 357:1821\u0026ndash;1828. https://doi.org/10.1056/nejmoa070972\u003c/li\u003e\n\u003cli\u003eBos D, Adams HHH, Zonneveld HI, et al (2016) Course of Incidental Findings on Brain MR Images : The Population-. Radiology 000:1\u0026ndash;9\u003c/li\u003e\n\u003cli\u003eKauke M, Safi AF, Stavrinou P, et al (2019) Does Meningioma Volume Correlate With Clinical Disease Manifestation Irrespective of Histopathologic Tumor Grade? J Craniofac Surg 30:e799\u0026ndash;e802. https://doi.org/10.1097/SCS.0000000000005845\u003c/li\u003e\n\u003cli\u003eKim KH, Kang SJ, Choi J-W, et al (2019) Clinical and radiological outcomes of proactive Gamma Knife surgery for asymptomatic meningiomas compared with the natural course without intervention. J Neurosurg 130:1740\u0026ndash;1749. https://doi.org/10.3171/2017.12.JNS171943\u003c/li\u003e\n\u003cli\u003eFathi AR, Roelcke U (2013) Meningioma. Curr Neurol Neurosci Rep 13:. https://doi.org/10.1007/s11910-013-0337-4\u003c/li\u003e\n\u003cli\u003eHashiba T, Moto NH, Izumoto S, et al (2009) Serial volumetric assessment of the natural history and growth pattern of incidentally discovered meningiomas: Clinical article. J Neurosurg 110:675\u0026ndash;684. https://doi.org/10.3171/2008.8.JNS08481\u003c/li\u003e\n\u003cli\u003eBehbahani M, Skeie GO, Eide GE, et al (2019) A prospective study of the natural history of incidental meningioma-Hold your horses! Neuro-Oncology Pract 6:438\u0026ndash;450. https://doi.org/10.1093/nop/npz011\u003c/li\u003e\n\u003cli\u003eNakasu S, Nakasu Y (2020) Natural history of meningiomas: Review with meta-analyses. Neurol Med Chir (Tokyo) 60:109\u0026ndash;120. https://doi.org/10.2176/nmc.ra.2019-0213\u003c/li\u003e\n\u003cli\u003eIslim AI, Mohan M, Moon RDC, et al (2019) Incidental intracranial meningiomas: a systematic review and meta-analysis of prognostic factors and outcomes. J Neurooncol 142:211\u0026ndash;221. https://doi.org/10.1007/s11060-019-03104-3\u003c/li\u003e\n\u003cli\u003eMaiuri F, Mariniello G, Guadagno E, et al (2019) WHO grade , proliferation index , and progesterone receptor expression are different according to the location of meningioma. 2553\u0026ndash;2561\u003c/li\u003e\n\u003cli\u003eHashimoto N, Rabo CS, Okita Y, et al (2012) Slower growth of skull base meningiomas compared with non\u0026ndash;skull base meningiomas based on volumetric and biological studies. J Neurosurg 116:574\u0026ndash;580. https://doi.org/10.3171/2011.11.JNS11999\u003c/li\u003e\n\u003cli\u003eSun C, Dou Z, Wu J, et al (2020) The Preferred Locations of Meningioma According to Different Biological Characteristics Based on Voxel-Wise Analysis. Front Oncol 10:1\u0026ndash;12. https://doi.org/10.3389/fonc.2020.01412\u003c/li\u003e\n\u003cli\u003eIshi Y, Terasaka S, Yamaguchi S, et al (2016) Reliability of the Size Evaluation Method for Meningiomas: Maximum Diameter, ABC/2 Formula, and Planimetry Method. World Neurosurg 94:80\u0026ndash;88. https://doi.org/10.1016/j.wneu.2016.06.108\u003c/li\u003e\n\u003cli\u003eGoldbrunner R, Minniti G, Preusser M, et al (2016) EANO guidelines for the diagnosis and treatment of meningiomas. Lancet Oncol 17:e383\u0026ndash;e391. https://doi.org/10.1016/S1470-2045(16)30321-7\u003c/li\u003e\n\u003cli\u003eBaumann C, Tichy J, Schaefer JH, et al (2020) Delay in diagnosing patients with right-sided glioblastoma induced by hemispheric-specific clinical presentation. J Neurooncol 146:63\u0026ndash;69. https://doi.org/10.1007/s11060-019-03335-4\u003c/li\u003e\n\u003cli\u003eFoerch C, Misselwitz B, Sitzer M, et al (2005) Difference in recognition of right and left hemispheric stroke. Lancet 366:392\u0026ndash;393. https://doi.org/10.1016/S0140-6736(05)67024-9\u003c/li\u003e\n\u003cli\u003eMatsumoto M, Koike S, Kashima S, Awai K (2015) Geographic distribution of CT, MRI and PET devices in Japan: A longitudinal analysis based on national census data. PLoS One 10:1\u0026ndash;12. https://doi.org/10.1371/journal.pone.0126036\u003c/li\u003e\n\u003cli\u003ePan HC, Cheng FC, Sun MH, et al (2007) Prediction of volumetric data errors in patients treated with Gamma Knife radiosurgery. Stereotact Funct Neurosurg 85:184\u0026ndash;191. https://doi.org/10.1159/000101297\u003c/li\u003e\n\u003cli\u003eMazzara GP, Velthuizen RP, Pearlman JL, et al (2004) Brain tumor target volume determination for radiation treatment planning through automated MRI segmentation. Int J Radiat Oncol Biol Phys 59:300\u0026ndash;312. https://doi.org/10.1016/j.ijrobp.2004.01.026\u003c/li\u003e\n\u003cli\u003eJadid KD, Feychting M, H\u0026ouml;ijer J, et al (2015) Long-term follow-up of incidentally discovered meningiomas. Acta Neurochir (Wien) 157:225\u0026ndash;230. https://doi.org/10.1007/s00701-014-2306-3\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp style='margin:0in;text-align:justify;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eTable 1.\u0026nbsp;Characteristics of 333 patients and tumors\u003c/span\u003e\u003c/p\u003e\n\u003cp style='margin:0in;text-align:justify;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003ctable style=\"border: none;width:634.5pt;border-collapse:collapse;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width:216.55pt;border-top:solid #7F7F7F 1.0pt;border-left:none;border-bottom:solid black 1.0pt;border-right:none;padding:.75pt 5.4pt 0in 5.4pt;height:23.4pt;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eVariable\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width:103.15pt;border-top:solid #7F7F7F 1.0pt;border-left:none;border-bottom:solid black 1.0pt;border-right:none;padding:.75pt 5.4pt 0in 5.4pt;height:23.4pt;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eAsymptomatic group\u003c/span\u003e\u003c/p\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e(n = 250)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width:96.45pt;border-top:solid #7F7F7F 1.0pt;border-left:none;border-bottom:solid black 1.0pt;border-right:none;padding:.75pt 5.4pt 0in 5.4pt;height:23.4pt;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eSymptomatic group\u003c/span\u003e\u003c/p\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e(n = 83)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width:124.45pt;border-top:solid #7F7F7F 1.0pt;border-left:none;border-bottom:solid black 1.0pt;border-right:none;padding:.75pt 5.4pt 0in 5.4pt;height:23.4pt;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cem\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003ep\u003c/span\u003e\u003c/em\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e\u0026nbsp;value\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width:93.9pt;border-top:solid #7F7F7F 1.0pt;border-left:none;border-bottom:solid black 1.0pt;border-right:none;padding:.75pt 5.4pt 0in 5.4pt;height:23.4pt;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eOR (95% CI)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:62.9pt;border:none;border-bottom:solid black 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height: 23.4pt;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eunivariate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:61.55pt;border:none;border-bottom:solid black 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height: 23.4pt;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003emultivariate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:216.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eSex (Male / Female)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:103.15pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e52 / 198\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:96.45pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e32 / 51\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e0.002\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:61.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e0.140\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:93.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e1.79 (0.83-3.86)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:216.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eAge at volumetric analysis (yrs) *1\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:103.15pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e72 (23-90)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:96.45pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e63 (31-89)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e\u0026lt; 0.001\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:61.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e0.002\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:93.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:216.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eTumor location (Convexity / Parasagittal / Falx)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:103.15pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e138 / 58 / 54\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:96.45pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e35 / 25 / 23\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e0.115\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:61.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:93.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:216.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eTumor side (Right / Midline/ Left)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:103.15pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e122 / 6 / 122\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:96.45pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e41 / 1 / 41\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e1\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:61.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:93.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:216.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eMRI T2WI (Hyper / Others) *2\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:103.15pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e162 / 87\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:96.45pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e65 / 18\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e0.029\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:61.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e0.154\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:93.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e1.82 (0.80-4.16)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:216.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eMultiple lesions (Yes / No)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:103.15pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e22 / 228\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:96.45pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e4 / 79\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e0.345\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:61.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:93.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:216.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003ePeritumoral edema (Yes / No)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:103.15pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e60 / 190\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:96.45pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e69 / 14\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e\u0026lt; 0.001\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:61.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e\u0026lt; 0.001\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:93.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e5.94 (2.74-12.86)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:216.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eMaximum tumor diameter (mm\u003cstrong\u003e)\u0026nbsp;\u003c/strong\u003e*1\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:103.15pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e24 (5-78)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:96.45pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e52 (18-100)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e\u0026lt; 0.001\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:61.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:93.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:216.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eTumor volume (ml) *1\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:103.15pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e5.0 (0.1-148.0)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:96.45pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e45.7 (2.8-188.9)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e\u0026lt; 0.001\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:61.55pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e\u0026lt; 0.001\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:93.9pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp style='margin:0in;text-align:justify;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003cp style='margin:0in;text-align:justify;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e*1 Median (range)\u003c/span\u003e\u003c/p\u003e\n\u003cp style='margin:0in;text-align:justify;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e*2 Too small to evaluate: n = 1\u003c/span\u003e\u003c/p\u003e\n\u003cp style='margin:0in;text-align:justify;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e95% CI: 95% confidence interval\u003c/span\u003e\u003c/p\u003e\n\u003cp style='margin:0in;text-align:justify;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp style='margin:0in;text-align:justify;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eTable 2. Correlation between tumor side and tumor volume (ml)\u003c/span\u003e\u003c/p\u003e\n\u003cp style='margin:0in;text-align:justify;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003ctable style=\"border: none;width:8.0in;border-collapse:collapse;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:76.5pt;border-top:solid #7F7F7F 1.0pt;border-left: none;border-bottom:solid black 1.0pt;border-right:none;padding:.75pt 5.4pt 0in 5.4pt;height:20.75pt;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;'\u003eTumor side\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:130.5pt;border-top:solid #7F7F7F 1.0pt;border-left: none;border-bottom:solid black 1.0pt;border-right:none;padding:.75pt 5.4pt 0in 5.4pt;height:20.75pt;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eAsymptomatic group\u003c/span\u003e\u003c/p\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e(n = 244)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:1.75in;border-top:solid #7F7F7F 1.0pt;border-left: none;border-bottom:solid black 1.0pt;border-right:none;padding:.75pt 5.4pt 0in 5.4pt;height:20.75pt;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eSymptomatic group\u003c/span\u003e\u003c/p\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e(n = 82)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:63.0pt;border-top:solid #7F7F7F 1.0pt;border-left: none;border-bottom:solid black 1.0pt;border-right:none;padding:.75pt 5.4pt 0in 5.4pt;height:20.75pt;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cem\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003ep\u003c/span\u003e\u003c/em\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e\u0026nbsp;value\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:103.5pt;border-top:solid #7F7F7F 1.0pt;border-left: none;border-bottom:solid black 1.0pt;border-right:none;padding:.75pt 5.4pt 0in 5.4pt;height:20.75pt;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eAUC (95% CI)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.5pt;border-top:solid #7F7F7F 1.0pt;border-left: none;border-bottom:solid black 1.0pt;border-right:none;padding:.75pt 5.4pt 0in 5.4pt;height:20.75pt;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eThreshold\u003c/span\u003e\u003c/p\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e(ml)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:76.5pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:right;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eRight (n=163)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:130.5pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e4.6 (0.1-148.0)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:1.75in;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e47.9 (6.0-188.9)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:63.0pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e\u0026lt; 0.001\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:103.5pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e0.929 (0.888-0.970)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.5pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e21.1\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:76.5pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:right;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eLeft (n=163)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:130.5pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e5.5 (0.2-129.7)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:1.75in;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e44.7 (2.8-158.1)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:63.0pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e\u0026lt; 0.001\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:103.5pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e0.903 (0.851-0.955)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.5pt;border:none;border-bottom:solid #7F7F7F 1.0pt;padding:.75pt 5.4pt 0in 5.4pt;height:.3in;\"\u003e\n \u003cp style='margin:0in;text-align:center;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e22.7\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp style='margin:0in;text-align:justify;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003cp style='margin:0in;text-align:justify;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003eAUC: Area under the curve\u003c/span\u003e\u003c/p\u003e\n\u003cp style='margin:0in;text-align:justify;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e95% CI: 95% confidence interval\u003c/span\u003e\u003c/p\u003e\n\u003cp style='margin:0in;text-align:justify;font-size:14px;font-family:\"Yu Mincho\",serif;'\u003e\u003cspan style='font-family:\"Times New Roman\",serif;color:black;'\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"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":"convexity meningioma, falx meningioma, parasagittal meningioma, symptomatic progression, tumor volume","lastPublishedDoi":"10.21203/rs.3.rs-437289/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-437289/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003ePurpose\u003c/h2\u003e \u003cp\u003eMeningiomas are the most common primary intracranial neoplasms. Their volume and location are important factors related to the appearance of clinical symptoms. This study aimed to identify factors that influence clinical symptoms and to determine a specific threshold tumor volume for the prediction of symptomatic progression in patients with convexity, parasagittal, and falx meningiomas.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eWe retrospectively studied patients with radiologically suspected convexity, parasagittal, or falx meningiomas at our institution.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eThe data of three hundred thirty-three patients were analyzed. We further divided patients into two groups based on clinical symptoms: as asymptomatic group (250 cases) and a symptomatic group (83 cases). Univariate analysis revealed significant differences between the groups in terms of sex (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.002), age at the time of volumetric analysis (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), hyperintense lesions on T2-weighted images (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.029), peritumoral edema (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), maximum tumor diameter (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), and tumor volume (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001). Further multivariate analysis revealed significant differences between the groups in terms of age at the time of volumetric analysis (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.002), peritumoral edema (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), and tumor volume (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001). Receiver operating characteristic curve revealed a threshold tumor volume of 21.1 ml for predicting whether a patient would develop symptoms (sensitivity 0.843, specificity 0.880, an area under the curve 0.919 [95% confidence interval: 0.887\u0026ndash;0.951]).\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eWe identified factors predictive of clinical symptoms in patients with convexity, parasagittal, and falx meningiomas and determined the first-ever threshold tumor volume for predicting symptomatic progression in such patients.\u003c/p\u003e","manuscriptTitle":"How much tumor volume is responsible for development of clinical symptoms in patients with convexity, parasagittal, and falx meningiomas?","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2021-04-21 22:17:34","doi":"10.21203/rs.3.rs-437289/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":"2a06006d-d09a-4bce-891e-453147efedee","owner":[],"postedDate":"April 21st, 2021","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":3810392,"name":"Neurobiology of Disease"}],"tags":[],"updatedAt":"2021-11-17T06:29:06+00:00","versionOfRecord":{"articleIdentity":"rs-437289","link":"https://doi.org/10.3389/fneur.2021.769656","journal":{"identity":"frontiers-in-neurology","isVorOnly":true,"title":"Frontiers in Neurology"},"publishedOn":"2021-11-17 06:29:06","publishedOnDateReadable":"November 17th, 2021"},"versionCreatedAt":"2021-04-21 22:17:34","video":"","vorDoi":"10.3389/fneur.2021.769656","vorDoiUrl":"https://doi.org/10.3389/fneur.2021.769656","workflowStages":[]},"version":"v1","identity":"rs-437289","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-437289","identity":"rs-437289","version":["v1"]},"buildId":"WrCJVZZCHTDjtuVLN7oU0","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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