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Updated: May 19, 2026

Quantification of Levator Ani Hiatus Enlargement by Magnetic Resonance Imaging in Males and Females with Pelvic Organ Prolapse
Published on: April 17, 2019
MRI-based analysis of amniotic membrane mechanical response patterns and rupture risk stratification in PROM and
Tong Zhang1, Yongfeng Cheng1, Yan Zhang2
1Institute of Solid Mechanics, School of Aeronautics Sciences and Engineering, Beihang University, Beijing, 100083, China.
Objective:
To develop a proof-of-concept MRI-based biomechanical framework for assessing full-field amniotic membrane responses under contraction-induced, fluid-mediated loading and preliminarily exploring their relevance to PROM/PPROM rupture risk.
Methods:
Subject-specific amniotic sac geometries were reconstructed from MRI data using semi-automated segmentation and incorporated into an integrated finite element model of the gravid abdomen. Amniotic fluid was modeled as nearly incompressible, and time-varying uterine contraction pressures were transmitted to the amniotic membrane under quasi-static conditions. Strain energy density(SED) and maximum principal stress were quantified, and robust z-scores were used to preliminarily assess inter-subject rupture-risk patterns.
Results:
In five pregnant women, SED and maximum principal stress showed pronounced spatial heterogeneity and were substantially amplified by coupled uterine contraction-amniotic fluid loading. Compared with equal-volume ellipsoidal models, MRI-based individualized models produced distinct response magnitudes and spatial localizations. Higher robust z-score-based mechanical metrics tended to occur in subjects with earlier gestational ages at delivery, suggesting preliminary consistency with clinical risk-related status.
Conclusion:
This proof-of-concept MRI-based framework demonstrates the feasibility of assessing spatially heterogeneous amniotic membrane mechanics under contraction-induced, fluid-mediated loading. The derived metrics may inform future PROM/PPROM risk assessment but require validation in larger clinical cohorts.
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