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Prenatal MRI for predicting prognosis after balloon occlusion of abdominal aorta-assisted cesarean section in patients with placenta accreta / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 1370-1374, 2019.
Article in Chinese | WPRIM | ID: wpr-861244
ABSTRACT

Objective:

To explore the value of prenatal MRI for predicting prognosis after balloon occlusion of abdominal aorta-assisted cesarean section (AABC-CS) in patients with placenta accreta.

Methods:

Prenatal MRI of 86 patients underwent AABC-CS due to placenta accreta were reviewed retrospectively. According to the prognosis, the patients were divided into good prognosis group (intraoperative blood loss <1 000 ml and unremoved uterus, n=50) and poor prognosis group (intraoperative blood loss ≥1 000 ml or uterus removed, n=36). MRI signs between the 2 groups were compared, and multivariate Logistic regression analysis was used to obtain the risk factors for predicting poor prognosis, and the predictive efficacy was calculated.

Results:

MRI signs of abnormal intraplacental vascularity, hypointense intraplacental bands, uterine recess, placenta percreta were significantly more common in poor prognosis group (all P<0.001). Multivariate Logistic regression analysis showed that abnormal intraplacental vascularity (odds ratio [OR]=15.78, P=0.015) and placenta percreta (OR=12.25, P=0.020) were risk factors for poor prognosis, with sensitivity and specificity of 77.78% (28/36), 62.00% (31/50) and 44.44% (16/36), 100% (50/50), respectively.

Conclusion:

Prenatal MRI signs of abnormal intraplacental vascularity and placenta percreta might be the predictors of intraoperative significant hemorrhage and hysterectomy after AABC-CS in patients with placenta accreta.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Risk factors Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Risk factors Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article