Evidence map›Paper›PMID 41915098›Full record

ArticleInsights into imaging2026

Assessment of risk factors for pelvic organ prolapse using dynamic MRI combined with clinical data.

Linghong Qi, Cheng Qian, Jiami Liu, Zhenghua Fei, Yinjian Zhou, Zhi Li

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Article in Insights into imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Linghong Qi *Department of Radiology, Huzhou Maternity & Child Health Care Hospital, Huzhou, China.
Cheng Qian *Department of General Surgery Department, Huzhou Maternity & Child Health Care Hospital, Huzhou, China.
Jiami LiuDepartment of Radiology, Huzhou Maternity & Child Health Care Hospital, Huzhou, China.
Zhenghua FeiDepartment of Radiology, Huzhou Maternity & Child Health Care Hospital, Huzhou, China.
Yinjian ZhouDepartment of Gynaecology, Huzhou Maternity & Child Health Care Hospital, Huzhou, China. 1418904266@qq.com.
Zhi LiDepartment of Radiology, Huzhou Maternity & Child Health Care Hospital, Huzhou, China. 1202xiaozhi@sina.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the risk factors for pelvic organ prolapse (POP) using dynamic MRI in combination with clinical data. MATERIALS AND

methodsPostpartum women who visited between August 2023 and October 2024 were enrolled. Patients were classified into the POP group if the lowest point of the anterior and/or middle compartment organs descended more than 1 cm below the pubococcygeal line (PCL) during straining, and into the non-POP group otherwise. Statistical analysis was conducted to compare MRI parameters and clinical data between the two groups.

resultsA total of 94 cases were assigned to the POP group and 276 to the non-POP group. Univariate and Multivariate logistic regression identified mode of delivery, straining H-line length, H-line difference, and M-line difference as independent risk factors for POP. The cutoff values for straining H-line length, H-line difference, and M-line difference were 5.45 cm, 0.65 cm, and 0.75 cm, respectively. Among these, the H-line difference had the highest area under the curve (AUC = 0.889) and the highest Youden index (0.606). Both H-line difference (r = 0.577, p < 0.001) and M-line difference (r = 0.531, p < 0.001) showed a positive correlation with the occurrence of POP.

conclusionDynamic MRI combined with clinical data provides an accurate diagnostic approach for POP. Patients with a history of vaginal delivery, straining H-line > 5.45 cm, H-line difference > 0.65 cm, and M-line difference > 0.75 cm should be considered at high risk and may benefit from early clinical intervention. CRITICAL RELEVANCE STATEMENT: By integrating clinical data, we aimed to identify risk factors associated with prolapse, thereby providing scientific evidence to support early detection, timely intervention, and preventive strategies for POP in clinical settings. KEY POINTS: This study established a comprehensive framework for assessing the risk of pelvic organ prolapse (POP), thereby enhancing diagnostic precision and clinical applicability. The H-line difference demonstrated the highest predictive value for POP, with the greatest AUC (0.889) and the highest Youden's index (0.606). H-line and M-line differences were identified as independent risk factors for POP, with cutoff values of 0.65 cm and 0.75 cm.

Indexed as

Magnetic resonance imagingPelvic floor dysfunctionPelvic organ prolapseRisk factors

Identifiers

PMID41915098
PMCPMC13038829

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.