Evidence map›Paper›PMID 41920441›Full record

ArticleJournal of robotic surgery2026

Development and validation of a training model for bladder neck dissection using ex vivo human bladder specimens from radical cystectomies.

Liang Liu, Neng-Rui Yang, Bo-Yu Xiang, Yang Yang, Xiang-Yu Hu, Meng-Jun Yang, Shi-Ru Li, Ling Wei, Tao Tang, Li Ma and 6 more

Abstract readValidation Study
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In one paragraph

Article in Journal of robotic surgery, 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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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Liang Liu *Urology Department, Chongqing University Central Hospital, Fourth People's Hospital of Chongqing, Chongqing Emergency Medical Center, Chongqing, China.
Neng-Rui Yang *Department of Urology, Urologic Surgery Center, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Bo-Yu XiangDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Yang Yang *Department of Neurosurgery, The 904Th Hospital of PLA, Medical School of Anhui Medical University, Wuxi, China.
Xiang-Yu HuCollege of Basic Medicine, Third Military Medical University (Army Medical University), Chongqing, China.
Meng-Jun YangDepartment of Urology, Urologic Surgery Center, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Shi-Ru LiCollege of Basic Medicine, Third Military Medical University (Army Medical University), Chongqing, China.
Ling WeiDepartment of Urology, Urologic Surgery Center, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Tao TangUrology Department, Chongqing University Central Hospital, Fourth People's Hospital of Chongqing, Chongqing Emergency Medical Center, Chongqing, China.
Li MaDepartment of Urology, Urologic Surgery Center, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Guang-Jie DuanInstitute of Pathology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Hao ZhouDepartment of Urology, Urologic Surgery Center, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Zhi-Wen ChenDepartment of Urology, Urological Surgery Research Institute, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Zhan-Song ZhouUrology Department, Chongqing University Central Hospital, Fourth People's Hospital of Chongqing, Chongqing Emergency Medical Center, Chongqing, China.
Fan HeUrology Department, Chongqing University Central Hospital, Fourth People's Hospital of Chongqing, Chongqing Emergency Medical Center, Chongqing, China. 785517193@qq.com.
Ji ZhengDepartment of Urology, Urologic Surgery Center, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, China. jizheng023@aliyun.com.

Funding

Chongqing Science and Health Joint Fund for Top Young and Middle-aged Talent 2023GDRC007the Key Project for Clinical Innovation of Army Medical University CX2019LC107the key project of Chongqing Science and Health Joint Fund 2026ZDXM001the Second Affiliated Hospital of Army Military Medical University Discipline Talent Construction Special Project 2023XKRC007Top Young and Middle-aged Medical Talent of Chongqing, Top Young and Middle-aged Medical Studio of Chongqing, Chongqing Natural Science Foundation CSTB2025NSCQ-LZX0045
6 · The paper itself

Abstract

To develop and validate a simulation training model for bladder neck dissection (BND) during laparoscopic radical prostatectomy using ex vivo human bladder specimens obtained from patients who underwent radical cystectomy. Six novices laparoscopic surgeons (without laparoscopic radical prostatectomy [LRP] experience) and four urological specialists (who had completed at least 100 LRP cases) completed BND training four times. Training included exposure of the bladder neck, dissection of the anterior bladder muscle and mucosa, dissection of the posterior bladder mucosa, and separation of the seminal vesicle (SV). Construct validity was assessed using the completion time, pathological score, BND score, and SV score. Repeated measures analysis of variance was used to assess the learning curve. Face and content validity was evaluated using a closed questionnaire survey. The novice and expert groups showed significant differences in the completion times (15.21 ± 2.42 vs. 12.11 ± 2.05 min, p < 0.0001), total pathological scores (9.1 ± 3.3 vs. 12.9 ± 3.0, p = 0.001), BND scores (2.9 ± 0.9 vs. 4.1 ± 0.7, p < 0.001), and SV scores (2.9 ± 1.1 vs. 3.9 ± 0.7, p = 0.003). Between-subjects effects revealed a significant main effect of group (𝐹 = 24.029, p = 0.001, 𝜂2p = 0.750), with the expert group completion time significantly faster than the novice group across all time points. Within-subjects effects showed significant main effect of time (F = 150.594, p < 0.001, 𝜂2p = 0.950), indicating that completion time change significantly over the four measurements. The time × group interaction was not significant (F = 0.475, p = 0.703, 𝜂2𝑝 = 0.056), suggesting that the two groups followed similar trajectories over time. Between-subjects effects revealed a significant main effect of group (𝐹 = 7.414, p = 0.026, 𝜂2p = 0.481), with the expert group total pathological scores significantly higher than the novice group across all time points. Within-subjects effects showed no significant main effect of time (F = 0.964, p = 0.367, 𝜂2p = 0.108), indicating that scores did not change significantly over the four measurements. The time × group interaction was also not significant (F = 1.017, p = 0.353, 𝜂2𝑝 = 0.113), suggesting that the two groups followed similar trajectories over time. Furthermore, the model received positive feedback regarding realism and practicability (face and content validity). Developed and validated a simulation training model based on tissue-based prostatectomy simulation models for BND during laparoscopic radical prostatectomy. Ex vivo bladder specimens provide a practical option for simulation training. This model reduced surgical times and prevented excessive or inadequate tissue removal, thereby improving BND performance.

Indexed as

CystectomyLaparoscopyProstatectomySimulation TrainingUrinary BladderClinical CompetenceDissectionHumansMaleSurveys and QuestionnairesBladder neck dissectionEx vivo human bladder specimensLaparoscopic radical prostatectomyPathological sectionSimulated training

Identifiers

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Registered trials

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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.