Harnessing artificial intelligence for prostate cancer management.

Journal: Cell reports. Medicine
Published Date:

Abstract

Prostate cancer (PCa) is a common malignancy in males. The pathology review of PCa is crucial for clinical decision-making, but traditional pathology review is labor intensive and subjective to some extent. Digital pathology and whole-slide imaging enable the application of artificial intelligence (AI) in pathology. This review highlights the success of AI in detecting and grading PCa, predicting patient outcomes, and identifying molecular subtypes. We propose that AI-based methods could collaborate with pathologists to reduce workload and assist clinicians in formulating treatment recommendations. We also introduce the general process and challenges in developing AI pathology models for PCa. Importantly, we summarize publicly available datasets and open-source codes to facilitate the utilization of existing data and the comparison of the performance of different models to improve future studies.

Authors

  • Lingxuan Zhu
    Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Changping Laboratory, Beijing, China.
  • Jiahua Pan
    Fuwai Yunnan Hospital, Chinese Academy of Medical Sciences, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, China.
  • Weiming Mou
    Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Longxin Deng
    Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
  • Yinjie Zhu
    Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China.
  • Yanqing Wang
    Clinical Research Management Center, Livzon Pharmaceutical Group Inc., Zhuhai, Guangdong, China.
  • Gyan Pareek
    Minimally Invasive Urology Institute, Brown University, Providence, 02901, Rhode Island, USA.
  • Elias Hyams
    Department of Surgery (Urology), Brown University Warren Alpert Medical School, Providence, RI, USA; Minimally Invasive Urology Institute, Providence, RI, USA.
  • Benedito A Carneiro
    The Legorreta Cancer Center at Brown University, Lifespan Cancer Institute, Providence, RI, USA.
  • Matthew J Hadfield
    The Legorreta Cancer Center at Brown University, Lifespan Cancer Institute, Providence, RI, USA.
  • Wafik S El-Deiry
    The Legorreta Cancer Center at Brown University, Laboratory of Translational Oncology and Experimental Cancer Therapeutics, Department of Pathology & Laboratory Medicine, The Warren Alpert Medical School of Brown University, The Joint Program in Cancer Biology, Brown University and Lifespan Health System, Division of Hematology/Oncology, The Warren Alpert Medical School of Brown University, Providence, RI, USA.
  • Tao Yang
    The First Clinical Medical College, The Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
  • Tao Tan
    Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.
  • Tong Tong
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Na Ta
    Department of Pathology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
  • Yan Zhu
    Department of Chemistry, Xixi Campus, Zhejiang University, Hangzhou, 310028, China. Electronic address: zhuyan@zju.edu.cn.
  • Yisha Gao
    Department of Pathology, Changhai Hospital of Shanghai, Naval Medical University, China.
  • Yancheng Lai
    Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; The First School of Clinical Medicine, Southern Medical University, Guangzhou, China.
  • Liang Cheng
    College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150001, China. liangcheng@hrbmu.edu.cn.
  • Rui Chen
    College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shanxi, China.
  • Wei Xue
    School of Information Science and Technology, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China.