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Peer-Reviewed Publication
Sci Rep2025;15(1):11006.March 31, 2025Journal Article

Clinical implications of deep learning based image analysis of whole radical prostatectomy specimens.

Tae-Yeong Kwak1, Chan Ho Lee2, Won Young Park3, Ja Yoon Ku4, Chang Wook Jeong5, Eu Chang Hwang6, Seock Hwan Choi7, Joonyoung Cho1, Hyeyoon Chang1, Kyung Hwan Kim8,9, Byeong Jin Kang8,9, Sun Woo Kim1, Hong Koo Ha10,11
1Deep Bio Inc., Seoul, 08380, Republic of Korea.
2Department of Urology, Inje University Busan Paik Hospital, Inje University College of Medicine, Busan, 47392, Republic of Korea.
3Department of Pathology, Seegene Medical Foundation, Busan, 48792, Republic of Korea.
4Department of Urology, Dongnam Institute of Radiological & Medical Sciences, Busan, 46033, Republic of Korea.
5Department of Urology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
6Department of Urology, Chonnam National University Medical School, Gwangju, 58128, Republic of Korea.
7Department of Urology, School of Medicine, Kyungpook National University, Daegu, 41404, Republic of Korea.
8Department of Urology, Pusan National University Hospital, Pusan National University School of Medicine, Busan, 49241, Republic of Korea.
9Biomedical Research Institute, Pusan National University Hospital, Busan, 49241, Republic of Korea.
10Department of Urology, Pusan National University Hospital, Pusan National University School of Medicine, Busan, 49241, Republic of Korea. hongkooha@pusan.ac.kr.
11Biomedical Research Institute, Pusan National University Hospital, Busan, 49241, Republic of Korea. hongkooha@pusan.ac.kr.

Abstract

Prostate cancer (PCa) diagnosis faces significant challenges due to its complex pathological characteristics and insufficient pathologist resources. While deep learning-based image analysis (DLIA) shows promise in enhancing diagnostic accuracy, its application to radical prostatectomy (RP) specimens remains underexplored. In this study, we evaluated the clinical feasibility and prognostic value of…

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