Evidence map›Paper›PMID 41211833›Full record

ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2026

A Multimodal Ultrasound Approach Combining Transperineal and Transrectal Shear Wave Elastography for Early Prediction of Stress Urinary Incontinence in Women.

Yidan Wang, Jing Feng, Jingyan Xie, Yang Yang, Yaping Wang, Yujuan Li, Jiajun Xu

Abstract read
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Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yidan WangDepartment of Ultrasonography, Nanjing First Hospital, Nanjing Medical University, Nanjing, People's Republic of China.
Jing FengDepartment of Gynecology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People's Republic of China.
Jingyan XieDepartment of Gynecology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People's Republic of China.
Yang YangDepartment of Gynecology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People's Republic of China.
Yaping WangDepartment of Obstetrics, Nanjing First Hospital, Nanjing Medical University, Nanjing, People's Republic of China.
Yujuan LiDepartment of Gynecology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People's Republic of China.
Jiajun XuDepartment of Ultrasonography, Nanjing First Hospital, Nanjing Medical University, Nanjing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to evaluate the diagnostic value of a novel multimodal approach combining transperineal ultrasound (TPUS), transrectal dual-plane ultrasound, and shear wave elastography (SWE) in predicting stress urinary incontinence (SUI).

methodsA total of 70 women diagnosed with SUI and 110 healthy controls were included. Clinical data such as age, body mass index (BMI), mode of delivery, and relevant medical history were collected. Pelvic floor ultrasound was performed using TPUS and transrectal dual-plane ultrasound. Key parameters, including bladder neck mobility, urethral rotation angle, urethral length, and urethral stiffness measured by SWE, were recorded and analyzed. Statistical analysis was conducted using SPSS version 27.0, and a multifactorial predictive model was developed.

resultsSignificant differences were observed between the SUI and control groups in bladder neck mobility (p = .034), urethral rotation angle (p = .059), and urethral stiffness measured by SWE (p < .001). The average Young's modulus of the urethral sphincter was significantly lower in the SUI group (39.22 ± 5.83 kPa) compared to the control group (52.11 ± 9.24 kPa). Age and average urethral sphincter elasticity were identified as independent risk factors for SUI. The multifactorial model demonstrated high clinical applicability with an AUC of 0.891 (sensitivity: 84%, specificity: 80%).

conclusionsThe combination of TPUS, transrectal dual-plane ultrasound, and SWE provides a reliable, non-invasive diagnostic tool for predicting SUI. The study highlights the importance of urethral stiffness and bladder neck mobility in the pathophysiology of SUI. This multi-modal approach shows strong potential for early detection and personalized treatment strategies. This multimodal approach offers a non-invasive, reliable tool for early SUI detection and personalized management.

Indexed as

Elasticity Imaging TechniquesMultimodal ImagingUrinary Incontinence, StressAdultFemaleHumansMiddle AgedPelvic FloorPerineumPredictive Value of TestsRectumReproducibility of ResultsSensitivity and Specificityshear wave elastographySUItransperineal ultrasoundurethral stiffness

Identifiers

PMID41211833
PMCPMC12883581

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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.