3D MRI Biomarkers for Predicting Pelvic Organ Prolapse Risk and Severity
3D MRI quantification of CL metrics (volume, area, mass) offers noninvasive biomarkers for POP and SUI risk prediction, unlike USL morphology. These markers improve pelvic floor failure understanding and enable early POP risk identification.
Authors
- Chunlin Chen (ORCID: https://orcid.org/0000-0002-7140-5668)
- Longxiang Shen (ORCID: https://orcid.org/0000-0003-0378-531X)
- Ping Liu (ORCID: https://orcid.org/0000-0001-6769-3479)
- Xueyu Sun
- H. X. Bai
- Jiaxin Fu (ORCID: https://orcid.org/0009-0009-9337-1452)
Institutions
- Nanfang Hospital (CN)
- Suzhou Municipal Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- International Urogynecology Journal
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1007/s00192-025-06338-0
- Primary Topic
- Pelvic floor disorders treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Southern Medical University
- Nanfang Hospital