Prediction of late-pregnancy pelvic floor dysfunction: a nomogram model based on proton density fat fraction and synthetic magnetic resonance imaging

Background

Pelvic floor dysfunction (PFD) is a highly prevalent condition that significantly compromises women's quality of life. To date, the majority of studies and clinical rehabilitation interventions have focused on the assessment and management of pelvic floor muscle (PFM) function in the postpartum period, whereas investigations into the monitoring of pelvic floor function during the third trimester of pregnancy remain relatively understudied. This study aimed to develop a radiology-clinical nomogram integrating proton density fat fraction (PDFF; Iterative Decomposition of water and fat with Echo Asymmetry and Least-squares estimation, IDEAL-IQ sequence), synthetic magnetic resonance imaging (MAGnetic Resonance Image Compilation, MAGiC sequence), and diffusion tensor imaging (DTI) for predicting PFD in late pregnancy.