Objective Analysis of Predictive Value of Ultrasound Quantitative Scoring System for Treatment Method Selection in Cesarean Scar Pregnancy

Author:

Zhang Jieying1,Liu Yingying1,Wan Hui2,Lu Yue3,Xin Yanli3,Du Jianwen3,Wang Hong3

Affiliation:

1. Chengde Medical University, Chengde, Hebei, China

2. Department of Gynecology, Chengde Central Hospital, Chengde, Hebei, China

3. Department of Ultrasound Diagnosis, Chengde Central Hospital, Chengde, Hebei, China.

Abstract

Abstract This study aimed to explore the feasibility of using the ultrasound quantitative scoring system to guide the selection of surgical methods for a cesarean scar ectopic pregnancy (CSEP). A retrospective analysis was conducted of the medical records of 117 cases of patients with a CSEP. All patients underwent transvaginal ultrasound examination before treatment, and the ultrasound results were compared with the results of surgical exploration. The treatment methods that were delivered for the 2 patient groups with CSEP were analyzed, and agreement between the predicted and actual treatment protocols was tested using the kappa consistency test. Residual myometrial thickness at the scar site was mainly concentrated above 3 mm in the low-risk group, with 70 cases accounting for 76.9%, while in the high-risk group, this was primarily in the range of 1–3 mm with 18 cases accounting for 69.2%. The grading of nourishing blood supply to the gestational sac showed that 96.7% of patients in the low-risk group had Grade I and Grade II blood flow, while 84.6% of the high-risk group had Grade I and Grade II blood flow; Grade II blood flow was predominant in the high-risk group. The majority of patients in both the low- and high-risk groups experienced intraoperative blood loss of ≤50 mL (93.9% vs 80.6%, respectively). The consistency test between the actual and predicted treatment methods yielded a kappa coefficient of 0.644, indicating consistency between the two. For patients with CSEP in the low-risk group (score <4), the ultrasound quantitative scoring system could provide individualized assessment and offer clinically valuable treatment protocols.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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