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MRI-based scoring model to predict massive hemorrhage during dilatation and curettage in patients with cesarean scar pregnancy.

Authors :
Yang, Fengleng
Yang, Xilin
Jing, Huaibo
Wang, Xiaodan
Gong, Zhaolin
Deng, Chen
Wang, Fang
Shuai, Yongzhong
Wang, Zhigang
Lai, Hua
Source :
Abdominal Radiology. Oct2023, Vol. 48 Issue 10, p3195-3206. 12p.
Publication Year :
2023

Abstract

Objective: To construct a scoring model based on MRI signs to predict massive hemorrhage during dilatation and curettage in cesarean scar pregnancy (CSP) patients. Materials and methods: The MRIs of CSP patients admitted to a tertiary referral hospital between February 2020 and July 2022 were retrospectively reviewed. The included patients were randomly assigned to the training and validation cohorts. The univariate and multivariate logistic regression analyses were adopted to identify the independent risk factors for massive hemorrhage (the amount of bleeding ≥ 200 ml) during the dilatation and curettage. A scoring model predicting intraoperative massive hemorrhage was established where each positive independent risk factor was assigned 1 point, and the predictive power of this model was evaluated both in the training and validation cohorts via the receiver operating characteristic curve. Results: A total of 187 CSP patients were enrolled, who were divided into the training cohort (31 in 131 patients had massive hemorrhage) and validation cohort (10 in 56 patients had massive hemorrhage). The independent risk factors for intraoperative massive hemorrhage included cesarean section diverticulum area (OR = 6.957, 95% CI 1.993–21.887; P = 0.001), uterine scar thickness (OR = 5.113, 95% CI 2.086–23.829; P = 0.025) and gestational sac diameter (OR = 3.853, 95% CI 1.103–13.530; P = 0.025). A scoring model with a total point of 3 was developed and the CSP patients were divided into low-risk (Total points < 2) and high-risk groups (Total points ≥ 2) for intraoperative massive hemorrhage accordingly. This model possessed high prediction performance both in the training cohort (area under the curve [AUC] = 0.896, 95% CI 0.830–0.942) and validation cohort (AUC = 0.915, 95% CI 0.785–1.000). Conclusion: We first constructed a MRI-based scoring model for predicting intraoperative massive hemorrhage in CSP patients, which could help the decision-making of the patients' therapy strategies. Low-risk patients can be cured by D&C alone to reduce the financial burden, while high-risk patients require more adequate preoperative preparation or consideration of changing surgical approaches to reduce bleeding risk. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2366004X
Volume :
48
Issue :
10
Database :
Academic Search Index
Journal :
Abdominal Radiology
Publication Type :
Academic Journal
Accession number :
171388133
Full Text :
https://doi.org/10.1007/s00261-023-03968-0