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

被引:8
作者
Yang, Fengleng [1 ]
Yang, Xilin [2 ,3 ]
Jing, Huaibo [4 ]
Wang, Xiaodan [4 ]
Gong, Zhaolin [4 ]
Deng, Chen [1 ]
Wang, Fang [1 ]
Shuai, Yongzhong [1 ]
Wang, Zhigang [1 ]
Lai, Hua [1 ]
机构
[1] Univ Elect Sci & Technol China, Chengdu Womens & Childrens Cent Hosp, Sch Med, Dept Radiol, Chengdu, Peoples R China
[2] Univ Elect Sci & Technol China, Chengdu Womens & Childrens Cent Hosp, Sch Med, Dept Radiat Oncol, Chengdu, Peoples R China
[3] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Radiat Oncol, Beijing, Peoples R China
[4] Univ Elect Sci & Technol China, Chengdu Womens & Childrens Cent Hosp, Sch Med, Dept Gynecol, Chengdu, Peoples R China
关键词
Cesarean scar pregnancy; Magnetic resonance imaging (MRI); Curettage; Massive hemorrhage; Risk factors; RISK-FACTORS; MANAGEMENT; ULTRASOUND; SYSTEM;
D O I
10.1007/s00261-023-03968-0
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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. [GRAPHICS] .
引用
收藏
页码:3195 / 3206
页数:12
相关论文
共 31 条
[1]   Intraplacental Fetal Vessel Diameter May Help Predict for Placental Invasiveness in Pregnant Women at High Risk for Placenta Accreta Spectrum Disorders [J].
Bourgioti, Charis ;
Konstantinidou, Anastasia Evangelia ;
Zafeiropoulou, Konstantina ;
Antoniou, Aristeidis ;
Fotopoulos, Stavros ;
Theodora, Marianna ;
Daskalakis, George ;
Nikolaidou, Maria Evangelia ;
Tzavara, Chara ;
Letsika, Aikaterini ;
Martzoukos, Epameinondas Anastasios ;
Moulopoulos, Lia Angela .
RADIOLOGY, 2021, 298 (02) :403-412
[2]   Risk factors associated with failure of treatment for cesarean scar pregnancy [J].
Chiang, Ying-Cheng ;
Tu, Yi-An ;
Yang, Jehn-Hsiahn ;
Lin, Shin-Yu ;
Lee, Chien-Nan ;
Shih, Jin-Chung .
INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS, 2017, 138 (01) :28-36
[3]   Exploring the value of cesarean section diverticulum area to predict the safety of hysteroscopic management for cesarean scar pregnancy patients [J].
Du, Qinghua ;
Zhao, Wancheng .
INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS, 2022, 156 (03) :488-493
[4]   A novel method for typing of cesarean scar pregnancy based on size of cesarean scar diverticulum and its significance in clinical decision-making [J].
Du, Qinghua ;
Liu, Guipeng ;
Zhao, Wancheng .
JOURNAL OF OBSTETRICS AND GYNAECOLOGY RESEARCH, 2020, 46 (05) :707-714
[5]  
Family Planning Subgroup Chinese Society of Obstetrics and Gynocology Chinese Medical Association, 2016, Zhonghua Fu Chan Ke Za Zhi, V51, P568, DOI 10.3760/cma.j.issn.0529-567X.2016.08.003
[6]   Quantitative risk assessment to guide the treatment of cesarean scar pregnancy [J].
Fang, Qingxian ;
Sun, Li ;
Tang, Yunhui ;
Qian, Cuifeng ;
Yao, Xiaoying .
INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS, 2017, 139 (01) :78-83
[7]   Cesarean Scar Pregnancy, Incidence, and Recurrence Five-Year Experience at a Single Tertiary Care Referral Center [J].
Grechukhina, Olga ;
Deshmukh, Uma ;
Fan, Linda ;
Kohari, Katherine ;
Abdel-Razeq, Sonya ;
Bahtiyar, Mert Ozan ;
Sfakianaki, Anna K. .
OBSTETRICS AND GYNECOLOGY, 2018, 132 (05) :1285-1295
[8]   Clinical and ultrasound parameters in prediction of excessive hemorrhage during management of cesarean scar pregnancy [J].
Gui, Ting ;
Peng, Ping ;
Liu, Xinyan ;
Jin, Li ;
Chen, Weilin .
THERAPEUTICS AND CLINICAL RISK MANAGEMENT, 2017, 13 :807-812
[9]  
Guo SN, 2021, AM J TRANSL RES, V13, P6229
[10]   Cesarean section scar in 3T magnetic resonance imaging and ultrasound: image characteristics and comparison of the methods [J].
Hoffmann, Janine ;
Exner, Marc ;
Bremicker, Kristina ;
Grothoff, Matthias ;
Stumpp, Patrick ;
Schrey-Petersen, Susanne ;
Stepan, Holger .
ARCHIVES OF GYNECOLOGY AND OBSTETRICS, 2019, 299 (02) :439-449