Development of a machine learning-based model to predict urethral recurrence following radical cystectomy: a multicentre retrospective study and updated meta-analysis.

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Title: Development of a machine learning-based model to predict urethral recurrence following radical cystectomy: a multicentre retrospective study and updated meta-analysis.
Authors: Fan B; Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, 116011, Liaoning Province, China. fanbo@dmu.edu.cn.; Liaoning Provincial Key Laboratory of Urological Digital Precision Diagnosis and Treatment, Dalian, 116011, Liaoning Province, China. fanbo@dmu.edu.cn.; Liaoning Engineering Research Center of Integrated Precision Diagnosis and Treatment Technology for Urological Cancer, Dalian, 116011, Liaoning Province, China. fanbo@dmu.edu.cn.; Dalian Key Laboratory of Prostate Cancer Research, Dalian, 116011, Liaoning Province, China. fanbo@dmu.edu.cn., Zhang L; Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, 116011, Liaoning Province, China.; Liaoning Provincial Key Laboratory of Urological Digital Precision Diagnosis and Treatment, Dalian, 116011, Liaoning Province, China.; Liaoning Engineering Research Center of Integrated Precision Diagnosis and Treatment Technology for Urological Cancer, Dalian, 116011, Liaoning Province, China.; Dalian Key Laboratory of Prostate Cancer Research, Dalian, 116011, Liaoning Province, China., Cui H; Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, 116011, Liaoning Province, China.; Liaoning Provincial Key Laboratory of Urological Digital Precision Diagnosis and Treatment, Dalian, 116011, Liaoning Province, China.; Liaoning Engineering Research Center of Integrated Precision Diagnosis and Treatment Technology for Urological Cancer, Dalian, 116011, Liaoning Province, China.; Dalian Key Laboratory of Prostate Cancer Research, Dalian, 116011, Liaoning Province, China., Bai S; Department of Ultrasound, The First Affiliated Hospital of Dalian Medical University, Dalian, 116011, Liaoning Province, China., Gao H; Department of Urology, Central Hospital of Dalian, Dalian, 116089, Liaoning Province, China., Xiang S; Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, 116011, Liaoning Province, China.; Liaoning Provincial Key Laboratory of Urological Digital Precision Diagnosis and Treatment, Dalian, 116011, Liaoning Province, China.; Liaoning Engineering Research Center of Integrated Precision Diagnosis and Treatment Technology for Urological Cancer, Dalian, 116011, Liaoning Province, China.; Dalian Key Laboratory of Prostate Cancer Research, Dalian, 116011, Liaoning Province, China., Wang Y; Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, 116011, Liaoning Province, China.; Liaoning Provincial Key Laboratory of Urological Digital Precision Diagnosis and Treatment, Dalian, 116011, Liaoning Province, China.; Liaoning Engineering Research Center of Integrated Precision Diagnosis and Treatment Technology for Urological Cancer, Dalian, 116011, Liaoning Province, China.; Dalian Key Laboratory of Prostate Cancer Research, Dalian, 116011, Liaoning Province, China., Song Z; Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, 116011, Liaoning Province, China.; Liaoning Provincial Key Laboratory of Urological Digital Precision Diagnosis and Treatment, Dalian, 116011, Liaoning Province, China.; Liaoning Engineering Research Center of Integrated Precision Diagnosis and Treatment Technology for Urological Cancer, Dalian, 116011, Liaoning Province, China.; Dalian Key Laboratory of Prostate Cancer Research, Dalian, 116011, Liaoning Province, China., Chen J; Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, 116011, Liaoning Province, China.; Liaoning Provincial Key Laboratory of Urological Digital Precision Diagnosis and Treatment, Dalian, 116011, Liaoning Province, China.; Liaoning Engineering Research Center of Integrated Precision Diagnosis and Treatment Technology for Urological Cancer, Dalian, 116011, Liaoning Province, China.; Dalian Key Laboratory of Prostate Cancer Research, Dalian, 116011, Liaoning Province, China., Yu G; Department of Urology, Central Hospital of Dalian, Dalian, 116089, Liaoning Province, China. dlzxygh@126.com., Wang J; Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116011, Liaoning Province, China. wangjianbo@dmu.edu.cn., Wang L; Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, 116011, Liaoning Province, China. wangldoct@sina.com.; Liaoning Provincial Key Laboratory of Urological Digital Precision Diagnosis and Treatment, Dalian, 116011, Liaoning Province, China. wangldoct@sina.com.; Liaoning Engineering Research Center of Integrated Precision Diagnosis and Treatment Technology for Urological Cancer, Dalian, 116011, Liaoning Province, China. wangldoct@sina.com.; Dalian Key Laboratory of Prostate Cancer Research, Dalian, 116011, Liaoning Province, China. wangldoct@sina.com., Liu Z; Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, 116011, Liaoning Province, China. lzydoct@163.com.; Liaoning Provincial Key Laboratory of Urological Digital Precision Diagnosis and Treatment, Dalian, 116011, Liaoning Province, China. lzydoct@163.com.; Liaoning Engineering Research Center of Integrated Precision Diagnosis and Treatment Technology for Urological Cancer, Dalian, 116011, Liaoning Province, China. lzydoct@163.com.; Dalian Key Laboratory of Prostate Cancer Research, Dalian, 116011, Liaoning Province, China. lzydoct@163.com.
Source: Scientific reports [Sci Rep] 2025 Jun 04; Vol. 15 (1), pp. 19573. Date of Electronic Publication: 2025 Jun 04.
Publication Type: Journal Article; Meta-Analysis; Multicenter Study
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2045-2322
DOI:10.1038/s41598-025-04893-6