Work

Nomogram model based on magnetic resonance imaging and clinical factors for prenatal diagnosis of placenta accreta spectrum disorders

Year: 2025

Type: article

Abstract: This study aimed to develop a magnetic resonance imaging (MRI) and clinical factor-based nomogram for prenatal diagnosis of placenta accreta spectrum disorders (PAS). Clinical and MRI data from pregnant women were retrospectively analyzed and split into training (70%) and validation (30%) sets. Binary logistic regression identified age, placenta previa, T2 dark band, placental/uterine bulge, loss of T2 hypointense interface, myometrial thinning, and abnormal placental bed vessels as significant predictors of PAS. A nomogram incorporating these factors demonstrated strong diagnostic performance via ROC analysis (AUC >0.8), calibration curves, and decision curve analysis (DCA) in both training and validation sets. The model showed high accuracy and clinical utility, supporting its use in prenatal PAS diagnosis.

Source: African Journal of Reproductive Health

DOI: 10.29063/ajrh2025/v29i10.16

Authors: Jingjing Zhong, Qin Zhang, Peipei Lin, Dandan Miao, Honggang Yin

Institutions: Nantong University, Nantong Maternity and Child Health Hospital

Language: English

Topic: Maternal and fetal healthcare

Subfield: Pediatrics, Perinatology and Child Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

Funder: Nantong University