The Diagnostic Potential of Elastosonography in Cesarean Scar Pregnancy: A Retrospective Analysis

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This prospective cohort study evaluated elastosonography in 61 patients with cesarean scar pregnancy (gestational weeks 6–12) at a single hospital, comparing elastosonographic measures of scar tissue elasticity/stiffness (including gestational sac strain ratio, myometrial shear wave velocity, and scar stiffness) against definitive diagnostic procedures, with transvaginal ultrasound used for case identification. The authors found that scar tissue elasticity decreased with increasing gestational week, and that gestational sac strain ratio, myometrial shear wave velocity, and scar stiffness were statistically significant for diagnosing CSP, while beta-hCG and fetal heart rate were not. ROC analysis indicated discriminatory ability, but the gestational sac strain ratio AUC was close to 0.5, limiting its standalone diagnostic usefulness, and the work notes the need for further research to establish full clinical utility. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract Background : Cesarean scar pregnancy (CSP) is a rare type of ectopic pregnancy where the embryo implants in the scar from a previous cesarean section. CSP is a high-risk condition that can cause serious complications, such as uterine rupture and life-threatening bleeding. OBJECTIVE: The objective of this study is to assess the diagnostic accuracy, reliability, and efficacy of elastosonography in the diagnosis of cesarean scar pregnancy. To this end, the present study will compare the elastosonography findings in patients with cesarean scar pregnancy with those obtained through definitive diagnostic methods and investigate the diagnostic potential of elastosonography. MATERIAL AND METHOD: This prospective cohort study was conducted at Mardin Training and Research Hospital between October 2023 and January 2024. Patients with a cesarean scar pregnancy between six and twelve weeks of gestation were evaluated. The stiffness and elasticity of the scar tissue were assessed using elastosonography, and the diagnostic accuracy of this method was evaluated by comparing the results with those obtained through definitive diagnostic procedures. RESULTS: In this study, the demographic and clinical characteristics of 61 patients with cesarean scar pregnancy (CSP) were analyzed. The mean age of the patients was 32 years, the mean gestational age was 8.4 weeks, the mean BMI was 27.2, the mean parity was 1.9, and the mean number of previous cesarean sections was 1.3. While the elasticity of the scar tissue decreased with increasing gestational week, no significant correlation was found between age, BMI, parity, and number of previous cesarean sections and elastosonography findings. The gestational sac strain ratio, myometrial shear wave velocity, and scar stiffness, as measured by elastosonography, were found to be significant in the diagnosis of CSP. Conversely, the beta-hCG and fetal heart rate parameters did not contribute significantly to the diagnosis. CONCLUSION: In conclusion, the results of this study indicate that elastosonography has the potential to serve as a diagnostic tool for the identification of pregnancies in cases of cesarean section scar. The findings indicate that elastosonographic parameters, including the gestational sac tension ratio, myometrium shear wave velocity, and scar stiffness, may prove useful in diagnosing pregnancy in a cesarean scar. Further research is required to ascertain the full clinical utility of this technique. However, this study provides valuable information on the diagnostic accuracy and reliability of elastosonography in the evaluation of pregnancy in a cesarean scar.
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The Diagnostic Potential of Elastosonography in Cesarean Scar Pregnancy: A Retrospective Analysis | 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 The Diagnostic Potential of Elastosonography in Cesarean Scar Pregnancy: A Retrospective Analysis ÖMER TAMMO, ENES ÇELİK, SÜLEYMAN YILDIZ, ESRA SÖYLEMEZ, EMRE UYSAL, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5411462/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background : Cesarean scar pregnancy (CSP) is a rare type of ectopic pregnancy where the embryo implants in the scar from a previous cesarean section. CSP is a high-risk condition that can cause serious complications, such as uterine rupture and life-threatening bleeding. OBJECTIVE: The objective of this study is to assess the diagnostic accuracy, reliability, and efficacy of elastosonography in the diagnosis of cesarean scar pregnancy. To this end, the present study will compare the elastosonography findings in patients with cesarean scar pregnancy with those obtained through definitive diagnostic methods and investigate the diagnostic potential of elastosonography. MATERIAL AND METHOD: This prospective cohort study was conducted at Mardin Training and Research Hospital between October 2023 and January 2024. Patients with a cesarean scar pregnancy between six and twelve weeks of gestation were evaluated. The stiffness and elasticity of the scar tissue were assessed using elastosonography, and the diagnostic accuracy of this method was evaluated by comparing the results with those obtained through definitive diagnostic procedures. RESULTS: In this study, the demographic and clinical characteristics of 61 patients with cesarean scar pregnancy (CSP) were analyzed. The mean age of the patients was 32 years, the mean gestational age was 8.4 weeks, the mean BMI was 27.2, the mean parity was 1.9, and the mean number of previous cesarean sections was 1.3. While the elasticity of the scar tissue decreased with increasing gestational week, no significant correlation was found between age, BMI, parity, and number of previous cesarean sections and elastosonography findings. The gestational sac strain ratio, myometrial shear wave velocity, and scar stiffness, as measured by elastosonography, were found to be significant in the diagnosis of CSP. Conversely, the beta-hCG and fetal heart rate parameters did not contribute significantly to the diagnosis. CONCLUSION: In conclusion, the results of this study indicate that elastosonography has the potential to serve as a diagnostic tool for the identification of pregnancies in cases of cesarean section scar. The findings indicate that elastosonographic parameters, including the gestational sac tension ratio, myometrium shear wave velocity, and scar stiffness, may prove useful in diagnosing pregnancy in a cesarean scar. Further research is required to ascertain the full clinical utility of this technique. However, this study provides valuable information on the diagnostic accuracy and reliability of elastosonography in the evaluation of pregnancy in a cesarean scar. Scar pregnancy elastosonography pregnancy cesarean section ultrasound Figures Figure 1 INTRODUCTION A rare form of ectopic pregnancy, cesarean scar pregnancy (CSP) has the potential to result in significant complications. The incidence of CSP is on the rise in conjunction with the increase in the rate of cesarean deliveries [ 3 ]. This condition is particularly prevalent among women who have undergone a prior cesarean section, and it carries significant risks, including uterine rupture, abnormal placental adhesion, and excessive bleeding. The early diagnosis and treatment of CSP are of vital importance for the preservation of maternal health and fertility. Although ultrasonography is a commonly employed diagnostic technique in cases of CSP, establishing a diagnosis during the early gestational weeks can prove challenging [ 7 ]. Conventional ultrasonography may prove inadequate in the hands of inexperienced operators, particularly in the context of pregnancy implantation in the scar area. It is, therefore, crucial to employ supplementary techniques in order to establish an early and precise diagnosis in patients exhibiting symptoms suggestive of CSP. Elastosonography has recently emerged as a promising method for the diagnosis of CSP. By measuring the stiffness of the tissue it can assist in the detection of abnormalities in the scar area, thereby overcoming the limitations of conventional ultrasonography. The concurrent utilization of these two modalities can enhance the precision and dependability of CSP diagnosis, facilitating prompt referral of patients for suitable treatment. This article will focus on the role and significance of elastosonography in the diagnosis of CSP. The current diagnostic methods for CSP will be evaluated in comparison, and the potential contribution of elastosonography to this diagnostic process will be discussed. Moreover, the potential of combining different diagnostic modalities to enhance diagnostic accuracy and improve patient care in CSP management will be assessed. Materials and methods Study Design: This is a prospective cohort study that includes patients admitted with CSP by cesarean section in our clinic between October 2023 and January 2024. It will be analyzed retrospectively. Patient Selection: Sixty-one patients with a history of previous cesarean section, between 6–12 weeks of gestational age, and CSP findings on transvaginal ultrasonography (empty uterine cavity, closed internal os, gestational sac located between myometrium and bladder) were included in the study. Written informed consent was obtained from the patients. Inclusion Criteria: Patients with a history of at least one previous cesarean section. Patients between 6–12 weeks of gestation. Patients with CSP findings on transvaginal ultrasonography (empty uterine cavity, closed internal os, gestational sac located between myometrium and bladder). Patients who can give written informed consent. Exclusion Criteria: Patients with a gestational week less than six or greater than 12. Patients who do not show signs of CSP on transvaginal ultrasonography. Patients with conditions that preclude elastosonography (e.g., extreme obesity, infection at the scar site). Patients who refused to participate in the study or were unable to give written informed consent. Patients lost to follow-up during the study. Patients with pregnancy complications (e.g., bleeding, uterine rupture). Patients with other serious health conditions (e.g., heart disease, renal failure). Data Collection: Demographic characteristics (age, gestational week, body mass index, parity, number of previous cesarean sections) were recorded. Transabdominal and transvaginal ultrasonography was performed in all patients. The degree of stiffness (strain rate) of the scar area was measured by elastosonography in patients diagnosed with CSP. Elastosonography: Elastosonography was performed by an experienced radiologist using Mindray DC-80 ultrasonography device sound touch Elastography and sound touch Quantification software. Compression was applied to the scar area from 5 different points, and strain rates were recorded and averaged. Outcome Measures: The primary outcome measure was the diagnostic accuracy of elastosonography in the diagnosis of CSP. Secondary outcome measures were the relationship between strain rates measured by elastosonography and demographic characteristics and the variation of strain rates with gestational week. Our study was designed in accordance with the Declaration of Helsinki. Ethical approval of our study was obtained from Mardin Artuklu University ethics committee (Study Ethics Committee no: 2024/9–11). The patients included in the study were informed, and written informed consent was obtained. Statistical analysis SPSS 15.0 for Windows program was used for statistical analysis. Descriptive statistics were given as numbers and percentages for categorical variables and mean, standard deviation, minimum, maximum, and median for numerical variables. The diagnostic accuracy of elastosonography in the diagnosis of CSP will be evaluated by ROC curve analysis, and the area under the curve (AUC) will be calculated. The relationship between strain rates and demographic characteristics will be analyzed using the independent sample t-test, Mann-Whitney U test, ANOVA, or Kruskal-Wallis test. The change in strain rates with the gestational week will be analyzed using repeated measures, such as the ANOVA or Friedman test. The relationship between elastosonography and ultrasonography findings will be analyzed using a chi-square test. The significance level will be accepted as p < 0.05. RESULTS The demographic characteristics of the patients included in the study are presented in Table 1 . Table 1 Patients' demographic characteristics n Mean ± SD Min-Max (Median) p Age (year) 61 31.8 ± 5.1 30 (22–45) > 0.05 Gestational Week (weeks) 61 8.4 ± 1.5 8 (6–12) 0,003 BMI (kg/m²) 61 27.2 ± 3.8 26 (21–37) > 0.05 Parity 61 1.9 ± 1.1 2 (1–5) > 0.05 Previous Number of Caesarean sections 61 1.3 ± 0.5 1 (1–3) > 0.05 BMI: body mass index, Mean: mean, SD: standard deviation. MIN-MAX: minimum -maximum The mean age of the 61 cesarean scar pregnancy patients included in the study was 32 years, the mean gestational age was 8.4 weeks, the mean BMI was 27.2, the mean parity was 1.9, and the mean number of previous cesarean sections was 1.3. The elasticity of scar tissue decreased as the gestational week increased (p = 0.003). There was no significant correlation between age, BMI, parity, and number of previous cesarean sections and elastosonography findings (p > 0.05) TABL 2 . Table 2 Elastosonographic values in CSP Parameter Mean ± SD P Value Significance Level Gestational Sac Strain Ratio 2.5 ± 0.8 0,03 p < 0.05 Myometrium Shear Wave Velocity (m/s) 3.2 ± 1.1 0,01 p < 0.05 Scar Hardness (kPa) 85 ± 20 < 0,001 p 0.05 Fetal Heart Rate (bpm) 140 ± 15 0,1 > 0.05 In the study, elastosonographic parameters such as gestational sac strain ratio, myometrium shear wave velocity, and scar stiffness were found to be statistically significant in the diagnosis of CSP (p 0.05). ROC curves show that elastosonography has clinically significant discriminatory power in the diagnosis of cesarean scar pregnancy (CSP). In particular, the gestational sac strain ratio (GCSR) parameter performed better in the diagnosis of CSP with a higher AUC (area under the curve) value (0.57) compared to the other parameters. However, this value is close to 0.5, suggesting that GCSR alone may not be sufficient to be used as a diagnostic test. Other elastosonographic parameters, such as myometrial shear wave velocity (MSWV) and scar stiffness, were also significant in the diagnosis of CSP (AUC: 0.49 and 0.46, respectively). Evaluation of these parameters together with GCSR may improve diagnostic accuracy and provide a more comprehensive approach to the diagnosis of CSP. On the other hand, conventional parameters such as beta-hCG and fetal heart rate did not show as strong discrimination power as elastosonography in the diagnosis of CSP (AUC: 0.55 and 0.46). In this case, the analysis of ROC curves showed that elastosonography has a better discrimination power in the diagnosis of CSP than conventional ultrasound. Discussion Cesarean scar pregnancy (CSP) is a rare but potentially life-threatening complication characterized by the implantation of pregnancy into the cesarean scar [ 8 , 9 ]. Early diagnosis and treatment are critical to prevent serious complications such as uterine rupture and massive bleeding. Although conventional ultrasonography is widely used, it may be insufficient in some cases, especially in the evaluation of scar tissue [ 2 , 10 ]. In recent years, advanced imaging techniques such as elastosonography have contributed to improving the diagnostic process by offering promising results in the diagnosis of CSP [ 2 , 10 , 11 ]. Elastosonography has gained attention in recent years as a non-invasive imaging technique for assessing tissue elasticity. Investigated as a complementary tool to conventional ultrasound in the evaluation of scar pregnancy, elastosonography offers the potential to provide additional information about the structural characteristics of the affected area. This study evaluated the efficacy of elastosonography in the diagnosis of CSP compared to conventional ultrasound and other imaging modalities. The study found that scar tissue elasticity decreased with increasing gestational age (p = 0.003). No significant correlation was found between age, body mass index, parity, and number of previous cesarean sections and elastosonographic findings. The results suggest that elastosonographic parameters such as gestational sac strain rate (GCSR), myometrial shear wave velocity (MSWV), and scar tissue stiffness are statistically significant in the diagnosis of CSP [ 9 , 11 ]. In contrast, traditional parameters such as beta-hCG and fetal heart rate showed no significant difference in the diagnosis of CSP. These findings suggest that elastosonography is a promising method for the early and reliable detection of CSP [ 12 ]. Shear wave elastography (SWE), a specific application of elastosonography, has been used to assess placental function in pregnancies with complications such as preeclampsia [ 13 ]. Similarly, the use of elastosonography in the evaluation of scar pregnancy may improve diagnostic accuracy by providing valuable information about the integrity and characteristics of the uterine scar. Conventional ultrasonography, especially transvaginal ultrasound (TVUS), still plays an important role in the diagnosis of CSP [ 2 ]. TVUS provides high-resolution imaging and is an optimal method for the evaluation of suspected cases of CSP. The combined use of grayscale and color Doppler ultrasound is recommended for the diagnosis of CSP [ 14 ]. Some experts suggest that in addition to TVUS, transabdominal ultrasonography with a full bladder may be useful to obtain a panoramic view of the uterus and to assess the relationship between the gestational sac and the bladder [ 1 ]. ROC curve analysis revealed that elastosonography has a clinically significant discriminative power in the diagnosis of pregnancy in cesarean scar. In particular, the gestational sac strain rate parameter had a higher area under the curve (AUC) value compared to the other parameters, suggesting that it may be a promising diagnostic marker. However, the AUC value was close to 0.5, indicating that gestational sac strain rate alone may not be a sufficient diagnostic test [ 15 , 16 ]. The advantages of elastosonography are clear: the ability to measure the elasticity of scar tissue, which decreases as pregnancy progresses, allows early and accurate diagnosis. The fact that it is not affected by factors such as age and BMI increases its reliability. Conventional ultrasound, on the other hand, focuses on evaluating anatomical structures and may be inadequate in complex cases such as CSP [ 1 ]. However, conventional ultrasonography (especially transvaginal ultrasound-TVUS) still plays an important role in the diagnosis of CSP. TVUS provides high-resolution imaging and is an optimal method for the evaluation of suspected cases of CSP [ 17 ]. The combined use of grayscale and color Doppler ultrasound is recommended for the diagnosis of CSP. Some experts suggest that in addition to TVUS, transabdominal ultrasonography with a full bladder may be useful to obtain a panoramic view of the uterus and to assess the relationship between the gestational sac and the bladder [ 18 ]. In addition, although conventional ultrasound remains the first-line diagnostic tool for scar pregnancy, its limitations in certain scenarios have been recognized. Magnetic resonance imaging (MRI) has also been used in the diagnosis of scar pregnancy due to its superior soft tissue resolution and ability to visualize the endometrium, attachment site, and myometrial structures of the affected area [ 19 ]. In this case, magnetic resonance imaging has led to a high accuracy rate in the diagnosis of CSP [ 20 ]. MRI can be used in suspicious or complex cases when a definitive diagnosis cannot be made with conventional ultrasound or when myometrial invasion is suspected [ 21 ]. MRI is a superior method for assessing the extent of myometrial involvement, the depth of placental invasion, and its relationship to surrounding tissues [ 21 ]. However, the high cost and limited accessibility of MRI may prevent its widespread use in all healthcare settings. The integration of elastosonography as a complementary diagnostic approach may help overcome some of the limitations associated with conventional imaging techniques. By providing additional information on the mechanical properties of scar tissue, elastosonography could potentially enhance clinicians' ability to accurately differentiate wound pregnancy from other conditions, leading to more timely and appropriate management interventions. Looking into the future: Artificial Intelligence and CSP Diagnosis In recent years, the rapid development of artificial intelligence (AI) technologies has revolutionized the medical field. Especially in the field of radiology and imaging, AI-based diagnostic systems play an important role in the early diagnosis and treatment planning of diseases. The potential of AI in the diagnosis of CSP is also very high. By analyzing data from various imaging modalities such as elastosonography, ultrasound, and MRI, AI algorithms can help detect CSP early and accurately. In addition, by evaluating various risk factors, AI can identify patients at high risk of developing CSP and help create personalized follow-up and treatment plans. Consequently, a multimodal approach to the diagnosis and management of CSP is optimal. Conventional ultrasound (especially TVUS) can be used for initial evaluation and screening, while MRI can be used in suspicious or complex cases. Elastosonography can be used as a complementary tool, especially for early diagnosis and assessment of scar tissue elasticity. The combination of these three modalities offers an important opportunity for early diagnosis, accurate classification, and personalized treatment planning of CSP. In the future, even greater advances in the diagnosis of CSP are expected with the incorporation of artificial intelligence technologies. Limitations of the Study: Our study has several limitations. First, the relatively small size of our study cohort may limit the generalizability of our results. Second, because elastosonography is a relatively new technique, the lack of standardization between different devices and probes may affect the results. Finally, only a few elastographic parameters were evaluated in this study. Future studies should be designed to include different elastographic parameters in a larger patient population. Declarations Declaration of generative AI and AI-enabled technologies in the writing process During the preparation of this work, the authors used Google Gemini for sentence correction. After using this service, the authors reviewed and edited the content as necessary and took full responsibility for the content of the publication. Acknowledgements The team would like to express their gratitude to the hospital administration for their contribution in supporting this scientific endeavor. Authors’ contributions Conceptualization, Ö.T and E.Ç.; data curation, Ö.T., S.Y., and E.S.; formal analysis, E.U., Ö.T., and E.S. ; funding acquisition, E.S., Y.T.G, E.Ç.; investigation, Ö.T and E.Ç.; methodology, Ö.T., E.Ç. Y.T.G.; project administration, Ö.T.; resources, E.S..; soft- ware, E.U..; supervision, Ö.T., E.S., and E.Ç.; visualization, E.S.; writing—original draft, Ö.T., E.S.; writing—review and editing, Ö.T., E.S. All authors have read and agreed to the published version of the manuscript Corresponding author: Ömer Tammo, Harran University, şanlıurfa, Turkey, E-mail: [email protected] Funding No specifc funding for this research Availability of data and materials The datasets used in this study are available from the corresponding author upon request. Ethics approval and consent to participate The objectives of the study were explained in detail to the study participants. The collection of demographic information and the data obtained from all patients participating in this research were done after obtaining informed consent and willingness to participate in the study. Also, all the information remained confidential and the results were published anonymously and only statistically. Ethical approval for the study was obtained from the Ethics Committee of Mardin Artuklu University (Decision number: 2024/9-11 ). The authors confirm that all experiments were performed following the relevant Declaration of Helsinki. Consent for publication Written informed consent for the publication of this study was obtained from the patient. Conflict of interest The authors declare no conflict of interest. References Timor-Tritsch IE, Monteagudo A, Santos R, Tsymbal T, Pineda G, Arslan AA. The diagnosis, treatment, and follow-up of cesarean scar pregnancy. Am J Obstet Gynecol. 2012 Jul;207(1):44.e1-13. doi: 10.1016/j.ajog.2012.04.018. Epub 2012 Apr 16. PMID: 22607667. Rotas MA, Haberman S, Levgur M. Cesarean scar ectopic pregnancies: etiology, diagnosis, and management. Obstet Gynecol. 2006 Jun;107(6):1373-81. doi: 10.1097/01.AOG.0000218690.24494.ce. PMID: 16738166. National Collaborating Centre for Women’s and Children’s Health. Caesarean section (NICE clinical guideliine 132) . Royal College of Obstetricians and Gynaecologists (RCOG) Press: London, UK, 2011; 180–195. Vikhareva Osser O, Valentin L. 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Medicine (Baltimore). 2021 Dec 3;100(48):e27532. doi: 10.1097/MD.0000000000027532. PMID: 35049166; PMCID: PMC9191567. Alamo L, Vial Y, Denys A, Andreisek G, Meuwly JY, Schmidt S. MRI findings of complications related to previous uterine scars. Eur J Radiol Open. 2018 Jan 28;5:6-15. doi: 10.1016/j.ejro.2018.01.001. Erratum in: Eur J Radiol Open. 2020 Dec 17;8:100308. doi: 10.1016/j.ejro.2020.100308. PMID: 29387735; PMCID: PMC5790820. Additional Declarations No competing interests reported. Supplementary Files KopyaGestasyonelKeseStrainRatioMyometriumShearWav....xlsx Cite Share Download PDF Status: Posted 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. 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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-5411462","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":382174382,"identity":"ab12052f-c5ec-458b-94cd-55fba835089a","order_by":0,"name":"ÖMER TAMMO","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0ElEQVRIiWNgGAWjYFAD9gYgYWBBpOoDIIIHRBpIkKJFIgFMElbNL3b42ecPNdui+SWfX93wo0CCgb+9OwGvFsnZacYzDhy7nTtzdk7ZzR6gwyTOnN2AV4vB7QRjhgNst3M33M5Ju8ED1GIgkUtIS/pnhgP/gFpunkm7+Yc4LTnGDAfbgFpusB+7TZQtkrNzihnO9gH90pPDdlvGQIKHoF/4pdM3M1R8u53bz3782c03f2zk+Nt78WtBAjwGYJJY5SDA/oAU1aNgFIyCUTCCAADXjEz14VIJawAAAABJRU5ErkJggg==","orcid":"","institution":"Harran University","correspondingAuthor":true,"prefix":"","firstName":"ÖMER","middleName":"","lastName":"TAMMO","suffix":""},{"id":382174383,"identity":"93a76d0c-8efa-4b91-936b-8bb1bc67985c","order_by":1,"name":"ENES ÇELİK","email":"","orcid":"","institution":"Mardin Artuklu University","correspondingAuthor":false,"prefix":"","firstName":"ENES","middleName":"","lastName":"ÇELİK","suffix":""},{"id":382174384,"identity":"e3e6c971-7bf0-47cb-a604-354dfbaec020","order_by":2,"name":"SÜLEYMAN YILDIZ","email":"","orcid":"","institution":"Marmara University","correspondingAuthor":false,"prefix":"","firstName":"SÜLEYMAN","middleName":"","lastName":"YILDIZ","suffix":""},{"id":382174385,"identity":"d357cbf8-df4d-491a-9122-7153601041a3","order_by":3,"name":"ESRA SÖYLEMEZ","email":"","orcid":"","institution":"mardin reaserch hospital","correspondingAuthor":false,"prefix":"","firstName":"ESRA","middleName":"","lastName":"SÖYLEMEZ","suffix":""},{"id":382174386,"identity":"0063b606-b17c-4b77-a5f9-1946ed703434","order_by":4,"name":"EMRE UYSAL","email":"","orcid":"","institution":"Yusufeli State Hospital","correspondingAuthor":false,"prefix":"","firstName":"EMRE","middleName":"","lastName":"UYSAL","suffix":""},{"id":382174387,"identity":"959e583e-3261-4bfc-a76f-1c13b8f59fea","order_by":5,"name":"Yurdagül TOLU GÖKHANER","email":"","orcid":"","institution":"mardin reaserch hospital","correspondingAuthor":false,"prefix":"","firstName":"Yurdagül","middleName":"TOLU","lastName":"GÖKHANER","suffix":""}],"badges":[],"createdAt":"2024-11-07 16:38:19","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5411462/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5411462/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":71482758,"identity":"4ac78153-e442-4d9c-9e09-9dccbeb5026f","added_by":"auto","created_at":"2024-12-16 06:10:35","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":376786,"visible":true,"origin":"","legend":"\u003cp\u003eLegend not included with this version\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-5411462/v1/4a126016d62e13fe8eee767f.png"},{"id":73840290,"identity":"f3a24396-a910-4198-b1b3-70fc34bbfa01","added_by":"auto","created_at":"2025-01-15 08:09:20","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1035098,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5411462/v1/67156f3d-ae92-46cd-aa22-288368365828.pdf"},{"id":71482757,"identity":"639d877c-d11d-40ed-9411-b56b5ca7a982","added_by":"auto","created_at":"2024-12-16 06:10:35","extension":"xlsx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":12432,"visible":true,"origin":"","legend":"","description":"","filename":"KopyaGestasyonelKeseStrainRatioMyometriumShearWav....xlsx","url":"https://assets-eu.researchsquare.com/files/rs-5411462/v1/0190d65038a97d1450c6ec29.xlsx"}],"financialInterests":"No competing interests reported.","formattedTitle":"The Diagnostic Potential of Elastosonography in Cesarean Scar Pregnancy: A Retrospective Analysis","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eA rare form of ectopic pregnancy, cesarean scar pregnancy (CSP) has the potential to result in significant complications. The incidence of CSP is on the rise in conjunction with the increase in the rate of cesarean deliveries [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. This condition is particularly prevalent among women who have undergone a prior cesarean section, and it carries significant risks, including uterine rupture, abnormal placental adhesion, and excessive bleeding. The early diagnosis and treatment of CSP are of vital importance for the preservation of maternal health and fertility.\u003c/p\u003e \u003cp\u003eAlthough ultrasonography is a commonly employed diagnostic technique in cases of CSP, establishing a diagnosis during the early gestational weeks can prove challenging [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Conventional ultrasonography may prove inadequate in the hands of inexperienced operators, particularly in the context of pregnancy implantation in the scar area. It is, therefore, crucial to employ supplementary techniques in order to establish an early and precise diagnosis in patients exhibiting symptoms suggestive of CSP. Elastosonography has recently emerged as a promising method for the diagnosis of CSP. By measuring the stiffness of the tissue it can assist in the detection of abnormalities in the scar area, thereby overcoming the limitations of conventional ultrasonography. The concurrent utilization of these two modalities can enhance the precision and dependability of CSP diagnosis, facilitating prompt referral of patients for suitable treatment.\u003c/p\u003e \u003cp\u003eThis article will focus on the role and significance of elastosonography in the diagnosis of CSP. The current diagnostic methods for CSP will be evaluated in comparison, and the potential contribution of elastosonography to this diagnostic process will be discussed. Moreover, the potential of combining different diagnostic modalities to enhance diagnostic accuracy and improve patient care in CSP management will be assessed.\u003c/p\u003e"},{"header":"Materials and methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eStudy Design:\u003c/h2\u003e \u003cp\u003eThis is a prospective cohort study that includes patients admitted with CSP by cesarean section in our clinic between October 2023 and January 2024. It will be analyzed retrospectively.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003ePatient Selection:\u003c/h3\u003e\n\u003cp\u003eSixty-one patients with a history of previous cesarean section, between 6\u0026ndash;12 weeks of gestational age, and CSP findings on transvaginal ultrasonography (empty uterine cavity, closed internal os, gestational sac located between myometrium and bladder) were included in the study. Written informed consent was obtained from the patients.\u003c/p\u003e\n\u003ch3\u003eInclusion Criteria:\u003c/h3\u003e\n\u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003ePatients with a history of at least one previous cesarean section.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ePatients between 6\u0026ndash;12 weeks of gestation.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ePatients with CSP findings on transvaginal ultrasonography (empty uterine cavity, closed internal os, gestational sac located between myometrium and bladder).\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ePatients who can give written informed consent.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e\n\u003ch3\u003eExclusion Criteria:\u003c/h3\u003e\n\u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003ePatients with a gestational week less than six or greater than 12.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ePatients who do not show signs of CSP on transvaginal ultrasonography.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ePatients with conditions that preclude elastosonography (e.g., extreme obesity, infection at the scar site).\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ePatients who refused to participate in the study or were unable to give written informed consent.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ePatients lost to follow-up during the study.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ePatients with pregnancy complications (e.g., bleeding, uterine rupture).\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ePatients with other serious health conditions (e.g., heart disease, renal failure).\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e\n\u003ch3\u003eData Collection:\u003c/h3\u003e\n\u003cp\u003eDemographic characteristics (age, gestational week, body mass index, parity, number of previous cesarean sections) were recorded. Transabdominal and transvaginal ultrasonography was performed in all patients. The degree of stiffness (strain rate) of the scar area was measured by elastosonography in patients diagnosed with CSP.\u003c/p\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eElastosonography:\u003c/h2\u003e \u003cp\u003eElastosonography was performed by an experienced radiologist using Mindray DC-80 ultrasonography device sound touch Elastography and sound touch Quantification software. Compression was applied to the scar area from 5 different points, and strain rates were recorded and averaged.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eOutcome Measures:\u003c/h3\u003e\n\u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eThe primary outcome measure was the diagnostic accuracy of elastosonography in the diagnosis of CSP.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eSecondary outcome measures were the relationship between strain rates measured by elastosonography and demographic characteristics and the variation of strain rates with gestational week.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003e Our study was designed in accordance with the Declaration of Helsinki. Ethical approval of our study was obtained from Mardin Artuklu University ethics committee (Study Ethics Committee no: 2024/9\u0026ndash;11). The patients included in the study were informed, and written informed consent was obtained.\u003c/p\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis\u003c/h2\u003e \u003cp\u003eSPSS 15.0 for Windows program was used for statistical analysis. Descriptive statistics were given as numbers and percentages for categorical variables and mean, standard deviation, minimum, maximum, and median for numerical variables.\u003c/p\u003e \u003cp\u003eThe diagnostic accuracy of elastosonography in the diagnosis of CSP will be evaluated by ROC curve analysis, and the area under the curve (AUC) will be calculated.\u003c/p\u003e \u003cp\u003eThe relationship between strain rates and demographic characteristics will be analyzed using the independent sample t-test, Mann-Whitney U test, ANOVA, or Kruskal-Wallis test.\u003c/p\u003e \u003cp\u003eThe change in strain rates with the gestational week will be analyzed using repeated measures, such as the ANOVA or Friedman test. The relationship between elastosonography and ultrasonography findings will be analyzed using a chi-square test. The significance level will be accepted as p\u0026thinsp;\u0026lt;\u0026thinsp;0.05.\u003c/p\u003e \u003c/div\u003e"},{"header":"RESULTS","content":"\u003cp\u003eThe demographic characteristics of the patients included in the study are presented in 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\u003ePatients' demographic characteristics\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=\"\u0026plusmn;\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003en\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMin-Max (Median)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003ep\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eAge (year)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e61\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e31.8\u0026thinsp;\u0026plusmn;\u0026thinsp;5.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e30 (22\u0026ndash;45)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026gt;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eGestational Week (weeks)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e61\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e8.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e8 (6\u0026ndash;12)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0,003\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eBMI (kg/m\u0026sup2;)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e61\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e27.2\u0026thinsp;\u0026plusmn;\u0026thinsp;3.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e26 (21\u0026ndash;37)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026gt;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eParity\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e61\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2 (1\u0026ndash;5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026gt;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003ePrevious Number of Caesarean sections\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e61\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e1.3\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1 (1\u0026ndash;3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026gt;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003eBMI: body mass index, Mean: mean, SD: standard deviation. MIN-MAX: minimum -maximum\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe mean age of the 61 cesarean scar pregnancy patients included in the study was 32 years, the mean gestational age was 8.4 weeks, the mean BMI was 27.2, the mean parity was 1.9, and the mean number of previous cesarean sections was 1.3. The elasticity of scar tissue decreased as the gestational week increased (p\u0026thinsp;=\u0026thinsp;0.003). There was no significant correlation between age, BMI, parity, and number of previous cesarean sections and elastosonography findings (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05) TABL 2 .\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\u003eElastosonographic values in CSP\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=\"\u0026plusmn;\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eParameter\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eP Value\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eSignificance Level\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eGestational Sac Strain Ratio\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e2.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0,03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003ep\u0026thinsp;\u0026lt;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eMyometrium Shear Wave Velocity (m/s)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e3.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0,01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003ep\u0026thinsp;\u0026lt;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eScar Hardness (kPa)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e85\u0026thinsp;\u0026plusmn;\u0026thinsp;20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0,001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003ep\u0026thinsp;\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eBeta-hCG (IU/L)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e15000\u0026thinsp;\u0026plusmn;\u0026thinsp;5000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0,25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026gt;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eFetal Heart Rate (bpm)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e140\u0026thinsp;\u0026plusmn;\u0026thinsp;15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0,1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026gt;\u0026thinsp;0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eIn the study, elastosonographic parameters such as gestational sac strain ratio, myometrium shear wave velocity, and scar stiffness were found to be statistically significant in the diagnosis of CSP (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). On the other hand, parameters such as beta-hCG and fetal heart rate did not make a significant difference in the diagnosis of CSP (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eROC curves show that elastosonography has clinically significant discriminatory power in the diagnosis of cesarean scar pregnancy (CSP). In particular, the gestational sac strain ratio (GCSR) parameter performed better in the diagnosis of CSP with a higher AUC (area under the curve) value (0.57) compared to the other parameters. However, this value is close to 0.5, suggesting that GCSR alone may not be sufficient to be used as a diagnostic test.\u003c/p\u003e \u003cp\u003eOther elastosonographic parameters, such as myometrial shear wave velocity (MSWV) and scar stiffness, were also significant in the diagnosis of CSP (AUC: 0.49 and 0.46, respectively). Evaluation of these parameters together with GCSR may improve diagnostic accuracy and provide a more comprehensive approach to the diagnosis of CSP.\u003c/p\u003e \u003cp\u003eOn the other hand, conventional parameters such as beta-hCG and fetal heart rate did not show as strong discrimination power as elastosonography in the diagnosis of CSP (AUC: 0.55 and 0.46). In this case, the analysis of ROC curves showed that elastosonography has a better discrimination power in the diagnosis of CSP than conventional ultrasound.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eCesarean scar pregnancy (CSP) is a rare but potentially life-threatening complication characterized by the implantation of pregnancy into the cesarean scar [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. Early diagnosis and treatment are critical to prevent serious complications such as uterine rupture and massive bleeding. Although conventional ultrasonography is widely used, it may be insufficient in some cases, especially in the evaluation of scar tissue [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. In recent years, advanced imaging techniques such as elastosonography have contributed to improving the diagnostic process by offering promising results in the diagnosis of CSP [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eElastosonography has gained attention in recent years as a non-invasive imaging technique for assessing tissue elasticity. Investigated as a complementary tool to conventional ultrasound in the evaluation of scar pregnancy, elastosonography offers the potential to provide additional information about the structural characteristics of the affected area.\u003c/p\u003e \u003cp\u003eThis study evaluated the efficacy of elastosonography in the diagnosis of CSP compared to conventional ultrasound and other imaging modalities. The study found that scar tissue elasticity decreased with increasing gestational age (p\u0026thinsp;=\u0026thinsp;0.003). No significant correlation was found between age, body mass index, parity, and number of previous cesarean sections and elastosonographic findings. The results suggest that elastosonographic parameters such as gestational sac strain rate (GCSR), myometrial shear wave velocity (MSWV), and scar tissue stiffness are statistically significant in the diagnosis of CSP [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. In contrast, traditional parameters such as beta-hCG and fetal heart rate showed no significant difference in the diagnosis of CSP. These findings suggest that elastosonography is a promising method for the early and reliable detection of CSP [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eShear wave elastography (SWE), a specific application of elastosonography, has been used to assess placental function in pregnancies with complications such as preeclampsia [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Similarly, the use of elastosonography in the evaluation of scar pregnancy may improve diagnostic accuracy by providing valuable information about the integrity and characteristics of the uterine scar.\u003c/p\u003e \u003cp\u003eConventional ultrasonography, especially transvaginal ultrasound (TVUS), still plays an important role in the diagnosis of CSP [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. TVUS provides high-resolution imaging and is an optimal method for the evaluation of suspected cases of CSP. The combined use of grayscale and color Doppler ultrasound is recommended for the diagnosis of CSP [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. Some experts suggest that in addition to TVUS, transabdominal ultrasonography with a full bladder may be useful to obtain a panoramic view of the uterus and to assess the relationship between the gestational sac and the bladder [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eROC curve analysis revealed that elastosonography has a clinically significant discriminative power in the diagnosis of pregnancy in cesarean scar. In particular, the gestational sac strain rate parameter had a higher area under the curve (AUC) value compared to the other parameters, suggesting that it may be a promising diagnostic marker. However, the AUC value was close to 0.5, indicating that gestational sac strain rate alone may not be a sufficient diagnostic test [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe advantages of elastosonography are clear: the ability to measure the elasticity of scar tissue, which decreases as pregnancy progresses, allows early and accurate diagnosis. The fact that it is not affected by factors such as age and BMI increases its reliability. Conventional ultrasound, on the other hand, focuses on evaluating anatomical structures and may be inadequate in complex cases such as CSP [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eHowever, conventional ultrasonography (especially transvaginal ultrasound-TVUS) still plays an important role in the diagnosis of CSP. TVUS provides high-resolution imaging and is an optimal method for the evaluation of suspected cases of CSP [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. The combined use of grayscale and color Doppler ultrasound is recommended for the diagnosis of CSP. Some experts suggest that in addition to TVUS, transabdominal ultrasonography with a full bladder may be useful to obtain a panoramic view of the uterus and to assess the relationship between the gestational sac and the bladder [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIn addition, although conventional ultrasound remains the first-line diagnostic tool for scar pregnancy, its limitations in certain scenarios have been recognized. Magnetic resonance imaging (MRI) has also been used in the diagnosis of scar pregnancy due to its superior soft tissue resolution and ability to visualize the endometrium, attachment site, and myometrial structures of the affected area [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. In this case, magnetic resonance imaging has led to a high accuracy rate in the diagnosis of CSP [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. MRI can be used in suspicious or complex cases when a definitive diagnosis cannot be made with conventional ultrasound or when myometrial invasion is suspected [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. MRI is a superior method for assessing the extent of myometrial involvement, the depth of placental invasion, and its relationship to surrounding tissues [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. However, the high cost and limited accessibility of MRI may prevent its widespread use in all healthcare settings.\u003c/p\u003e \u003cp\u003eThe integration of elastosonography as a complementary diagnostic approach may help overcome some of the limitations associated with conventional imaging techniques. By providing additional information on the mechanical properties of scar tissue, elastosonography could potentially enhance clinicians' ability to accurately differentiate wound pregnancy from other conditions, leading to more timely and appropriate management interventions.\u003c/p\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003eLooking into the future: Artificial Intelligence and CSP Diagnosis\u003c/h2\u003e \u003cp\u003eIn recent years, the rapid development of artificial intelligence (AI) technologies has revolutionized the medical field. Especially in the field of radiology and imaging, AI-based diagnostic systems play an important role in the early diagnosis and treatment planning of diseases. The potential of AI in the diagnosis of CSP is also very high. By analyzing data from various imaging modalities such as elastosonography, ultrasound, and MRI, AI algorithms can help detect CSP early and accurately. In addition, by evaluating various risk factors, AI can identify patients at high risk of developing CSP and help create personalized follow-up and treatment plans.\u003c/p\u003e \u003cp\u003eConsequently, a multimodal approach to the diagnosis and management of CSP is optimal. Conventional ultrasound (especially TVUS) can be used for initial evaluation and screening, while MRI can be used in suspicious or complex cases. Elastosonography can be used as a complementary tool, especially for early diagnosis and assessment of scar tissue elasticity. The combination of these three modalities offers an important opportunity for early diagnosis, accurate classification, and personalized treatment planning of CSP. In the future, even greater advances in the diagnosis of CSP are expected with the incorporation of artificial intelligence technologies.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003eLimitations of the Study:\u003c/h2\u003e \u003cp\u003eOur study has several limitations. First, the relatively small size of our study cohort may limit the generalizability of our results. Second, because elastosonography is a relatively new technique, the lack of standardization between different devices and probes may affect the results. Finally, only a few elastographic parameters were evaluated in this study. Future studies should be designed to include different elastographic parameters in a larger patient population.\u003c/p\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003eDeclaration of generative AI and AI-enabled technologies in the writing process\u003c/p\u003e\n\u003cp\u003eDuring the preparation of this work, the authors used Google Gemini for sentence correction. After using this service, the authors reviewed and edited the content as necessary and took full responsibility for the content of the publication.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cstrong\u003eAcknowledgements\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe team would like to express their gratitude to the hospital administration for their contribution in supporting this scientific endeavor.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; contributions\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eConceptualization, \u0026Ouml;.T and E.\u0026Ccedil;.; data curation, \u0026Ouml;.T., S.Y., and E.S.; formal analysis, E.U., \u0026Ouml;.T., and E.S. ; funding acquisition, E.S., Y.T.G, \u0026nbsp; E.\u0026Ccedil;.; investigation, \u0026Ouml;.T and E.\u0026Ccedil;.; methodology, \u0026Ouml;.T., E.\u0026Ccedil;. Y.T.G.; project administration, \u0026Ouml;.T.; resources, E.S..; soft- ware, E.U..; supervision, \u0026Ouml;.T., E.S., and E.\u0026Ccedil;.; visualization, E.S.; writing\u0026mdash;original draft, \u0026Ouml;.T., E.S.; writing\u0026mdash;review and editing, \u0026Ouml;.T., E.S. All authors have read and agreed to the published version of the manuscript\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eCorresponding author:\u003c/p\u003e\n\u003cp\u003e\u0026Ouml;mer Tammo, Harran University, şanlıurfa, Turkey, E-mail: [email protected]\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cstrong\u003eFunding\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo specifc funding for this research\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets used in this study are available from the corresponding author upon request.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe objectives of the study were explained in detail to the study participants. The collection of demographic information and the data obtained from all patients participating in this research were done after obtaining informed consent and willingness to participate in the study. Also, all the information remained confidential and the results were published anonymously and only statistically. Ethical approval for the study was obtained from the Ethics Committee of Mardin Artuklu University (Decision number: 2024/9-11 ). The authors confirm that all experiments were performed following the relevant Declaration of Helsinki.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWritten informed consent for the publication of this study was obtained from the patient.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of interest\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no conflict of interest.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eTimor-Tritsch IE, Monteagudo A, Santos R, Tsymbal T, Pineda G, Arslan AA. The diagnosis, treatment, and follow-up of cesarean scar pregnancy. Am J Obstet Gynecol. 2012 Jul;207(1):44.e1-13. doi: 10.1016/j.ajog.2012.04.018. Epub 2012 Apr 16. PMID: 22607667.\u003c/li\u003e\n \u003cli\u003eRotas MA, Haberman S, Levgur M. 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Cesarean Scar Pregnancy: Diagnosis and Pathogenesis. Obstet Gynecol Clin North Am. 2019 Dec;46(4):797-811. doi: 10.1016/j.ogc.2019.07.009. PMID: 31677755.\u003c/li\u003e\n \u003cli\u003ePegu, Bhabani, et al. \u0026quot;Placenta accreta spectrum-a catastrophic situation in obstetrics.\u0026quot; Indonesian Society of Obstetrics and Gynecology, vol. 64, no. 3, 15 May. 2021, p. 239-247. https://doi.org/10.5468/ogs.20345.\u003c/li\u003e\n \u003cli\u003eStănculescu, Ruxandra, et al. \u0026quot;Update on placenta accreta spectrum disorders by considering epidemiological factors, ultrasound diagnosis and pathological exam \u0026ndash; literature review and authors\u0026rsquo; experience.\u0026quot; Romanian Academy\u0026apos;s Publishing House, vol. 63, no. 2, 12 Nov. 2022, p. 293-305. https://doi.org/10.47162/rjme.63.2.02.\u003c/li\u003e\n \u003cli\u003eCheung CS, Chan BC. The sonographic appearance and obstetric management of placenta accreta. Int J Womens Health. 2012;4:587-94. doi: 10.2147/IJWH.S28853. Epub 2012 Nov 26. PMID: 23239929; PMCID: PMC3516467.\u003c/li\u003e\n \u003cli\u003edi Pasquo E, Kiener AJO, DallAsta A, Commare A, Angeli L. et al. Evaluation of the uterine scar stiffness in women with previous Cesarean section by ultrasound elastography: A cohort study. Clin Imaging. 2020 Aug;64:53-56. doi: 10.1016/j.clinimag.2020.03.006. Epub 2020 Mar 31. PMID: 32325262.\u003c/li\u003e\n \u003cli\u003e\u0026Ccedil;imşit, Canan, et al. \u0026quot;Shear Wave Elastography in Placental Dysfunction.\u0026quot; Wiley, vol. 34, no. 1, 1 Jan. 2015, p. 151-159. https://doi.org/10.7863/ultra.34.1.151.\u003c/li\u003e\n \u003cli\u003eLiu D, Yang M, Wu Q. Application of ultrasonography in the diagnosis and treatment of cesarean scar pregnancy. Clin Chim Acta. 2018 Nov;486:291-297. doi: 10.1016/j.cca.2018.08.012. Epub 2018 Aug 11. PMID: 30102898.\u003c/li\u003e\n \u003cli\u003eSeliger G, Chaoui K, Lautenschl\u0026auml;ger C, Jenderka KV, Kunze C, Hiller GGR, Tchirikov M. Ultrasound elastography of the lower uterine segment in women with a previous cesarean section: Comparison of in-/ex-vivo elastography versus tensile-stress-strain-rupture analysis. Eur J Obstet Gynecol Reprod Biol. 2018 Jun;225:172-180. doi: 10.1016/j.ejogrb.2018.04.013. Epub 2018 Apr 20. PMID: 29729520.\u003c/li\u003e\n \u003cli\u003eVarma TR. The value of ultrasonic B-scanning in diagnosis when bleeding is present in early pregnancy. Am J Obstet Gynecol. 1972 Nov 1;114(5):607-12. doi: 10.1016/0002-9378(72)90837-x. PMID: 4637047.\u003c/li\u003e\n \u003cli\u003eRizk BRMB, Malik R, Clarke KH, Abuzeid MI. Ultrasound diagnosis of cesarean scar ectopic pregnancy. In: Rizk BRMB, Puscheck EE, eds. Ultrasonography in Gynecology. Cambridge University Press; 2014:172-176.\u003c/li\u003e\n \u003cli\u003eGonzalez N, Tulandi T. Cesarean Scar Pregnancy: A Systematic Review. J Minim Invasive Gynecol. 2017 Jul-Aug;24(5):731-738. doi: 10.1016/j.jmig.2017.02.020. Epub 2017 Mar 6. PMID: 28268103.\u003c/li\u003e\n \u003cli\u003eHuang Z, Liu J, Jing Z, Lin L, Li X. Comparison of diagnostic accuracy of three-dimensional transvaginal ultrasound and magnetic resonance imaging in the diagnosis of scar pregnancy. Pak J Med Sci. 2022 Sep-Oct;38(7):1743-1747. doi: 10.12669/pjms.38.7.6288. PMID: 36246696; PMCID: PMC9532647.\u003c/li\u003e\n \u003cli\u003eXiao X, Ding R, Peng L, Liu H, Zhu Y. Diagnostic performance of magnetic resonance imaging and ultrasonography on the detection of cesarean scar pregnancy: A meta-analysis. Medicine (Baltimore). 2021 Dec 3;100(48):e27532. doi: 10.1097/MD.0000000000027532. PMID: 35049166; PMCID: PMC9191567.\u003c/li\u003e\n \u003cli\u003eAlamo L, Vial Y, Denys A, Andreisek G, Meuwly JY, Schmidt S. MRI findings of complications related to previous uterine scars. Eur J Radiol Open. 2018 Jan 28;5:6-15. doi: 10.1016/j.ejro.2018.01.001. Erratum in: Eur J Radiol Open. 2020 Dec 17;8:100308. doi: 10.1016/j.ejro.2020.100308. PMID: 29387735; PMCID: PMC5790820.\u003c/li\u003e\n\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":"Scar pregnancy, elastosonography, pregnancy, cesarean section, ultrasound","lastPublishedDoi":"10.21203/rs.3.rs-5411462/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5411462/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground :\u003c/strong\u003e Cesarean scar pregnancy (CSP) is a rare type of ectopic pregnancy where the embryo implants in the scar from a previous cesarean section. CSP is a high-risk condition that can cause serious complications, such as uterine rupture and life-threatening bleeding.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOBJECTIVE:\u003c/strong\u003e The objective of this study is to assess the diagnostic accuracy, reliability, and efficacy of elastosonography in the diagnosis of cesarean scar pregnancy. To this end, the present study will compare the elastosonography findings in patients with cesarean scar pregnancy with those obtained through definitive diagnostic methods and investigate the diagnostic potential of elastosonography.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMATERIAL AND METHOD:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis prospective cohort study was conducted at Mardin Training and Research Hospital between October 2023 and January 2024. Patients with a cesarean scar pregnancy between six and twelve weeks of gestation were evaluated. The stiffness and elasticity of the scar tissue were assessed using elastosonography, and the diagnostic accuracy of this method was evaluated by comparing the results with those obtained through definitive diagnostic procedures.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRESULTS:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn this study, the demographic and clinical characteristics of 61 patients with cesarean scar pregnancy (CSP) were analyzed. The mean age of the patients was 32 years, the mean gestational age was 8.4 weeks, the mean BMI was 27.2, the mean parity was 1.9, and the mean number of previous cesarean sections was 1.3. While the elasticity of the scar tissue decreased with increasing gestational week, no significant correlation was found between age, BMI, parity, and number of previous cesarean sections and elastosonography findings. The gestational sac strain ratio, myometrial shear wave velocity, and scar stiffness, as measured by elastosonography, were found to be significant in the diagnosis of CSP. Conversely, the beta-hCG and fetal heart rate parameters did not contribute significantly to the diagnosis.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCONCLUSION:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn conclusion, the results of this study indicate that elastosonography has the potential to serve as a diagnostic tool for the identification of pregnancies in cases of cesarean section scar. The findings indicate that elastosonographic parameters, including the gestational sac tension ratio, myometrium shear wave velocity, and scar stiffness, may prove useful in diagnosing pregnancy in a cesarean scar. Further research is required to ascertain the full clinical utility of this technique. However, this study provides valuable information on the diagnostic accuracy and reliability of elastosonography in the evaluation of pregnancy in a cesarean scar.\u003c/p\u003e","manuscriptTitle":"The Diagnostic Potential of Elastosonography in Cesarean Scar Pregnancy: A Retrospective Analysis","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-12-16 06:10:30","doi":"10.21203/rs.3.rs-5411462/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":"e8e1ce35-96db-42b3-864e-a8d08d1d4344","owner":[],"postedDate":"December 16th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-01-20T06:53:21+00:00","versionOfRecord":[],"versionCreatedAt":"2024-12-16 06:10:30","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5411462","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5411462","identity":"rs-5411462","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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