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A Transvaginal Ultrasound-Based Diagnostic Calculator for Uterus Post-Cesarean Scar Defect Publisher Pubmed



Allameh Z1 ; Rouholamin S1 ; Rasti S2 ; Adibi A2 ; Foroughi Z1 ; Goharian M1 ; Rad MR3 ; Dabaghi GG3
Authors
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Authors Affiliations
  1. 1. Department of Obstetrics and Gynecology, Isfahan University of Medical Sciences, Ostad Motahari St., Felezi Bridge, Isfahan, Iran
  2. 2. Department of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran
  3. 3. School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

Source: BMC Women's Health Published:2023


Abstract

Background: A cesarean scar defect (CSD) is incomplete healing of the myometrium at the site of a prior cesarean section (CS), complicating more than half of all cesarean sections. While transvaginal ultrasound (TVU) is the most common modality for diagnosing this defect, hysteroscopy remains the gold standard. We aimed to develop an efficient diagnostic tool for CSD among women with abnormal uterine bleeding (AUB) by integrating TVU findings and participants’ demographic features. Methods: A single-center cross-sectional study was conducted on 100 premenopausal and non-pregnant women with a history of CS complaining of AUB without a known systemic or structural etiology. Each participant underwent a hysteroscopy followed by a TVU the next day. The defect dimensions in TVU, patients’ age, and the number of previous CSs were integrated into a binary logistic regression model to evaluate their predictive ability for a hysteroscopy-confirmed CSD. Results: Hysteroscopy identified 74 (74%) participants with CSD. The variables age, the number of CSs, defect length, and defect width significantly contributed to the logistic regression model to diagnose CSD with odds ratios of 9.7, 0.7, 2.6, and 1.7, respectively. The developed model exhibited accuracy, sensitivity, and specificity of 88.00%, 91.89%, and 76.92%, respectively. The area under the receiver operating curve was 0.955 (P-value < 0.001). Conclusion: Among non-pregnant women suspected of CSD due to AUB, looking at age, the number of previous CSs, and TVU-based defect width and length can efficiently rule CSD out. © 2023, The Author(s).
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