ProCUSNet: Prostate Cancer Detection on B-mode Transrectal Ultrasound Using Artificial Intelligence for Targeting During Prostate Biopsies.

Journal: European urology oncology
PMID:

Abstract

BACKGROUND AND OBJECTIVE: To assess whether conventional brightness-mode (B-mode) transrectal ultrasound images of the prostate reveal clinically significant cancers with the help of artificial intelligence methods.

Authors

  • Mirabela Rusu
    Department of Radiology, Stanford University, Stanford, CA 94305, USA. Electronic address: mirabela.rusu@stanford.edu.
  • Hassan Jahanandish
    Department of Radiology Stanford University Stanford CA USA; Department of Urology Stanford University Stanford CA USA.
  • Sulaiman Vesal
    Department of Urology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305, USA. Electronic address: svesal@stanford.edu.
  • Cynthia Xinran Li
    Institute of Computational and Mathematical Engineering Stanford University Stanford CA USA.
  • Indrani Bhattacharya
    Department of Radiology, Stanford University School of Medicine, Stanford, California.
  • Rajesh Venkataraman
    Eigen Health Services LLC, Grass Valley CA USA.
  • Steve Ran Zhou
    Department of Urology Stanford University Stanford CA USA.
  • Zachary Kornberg
    Department of Urology Stanford University Stanford CA USA.
  • Elijah Richard Sommer
    School of Medicine Stanford University Stanford CA USA.
  • Yash Samir Khandwala
    Department of Urology Stanford University Stanford CA USA.
  • Luke Hockman
    Department of Urology Stanford University Stanford CA USA.
  • Zhien Zhou
    Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China.
  • Moon Hyung Choi
    Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Pejman Ghanouni
    Department of Radiology, Stanford University, Stanford, CA 94305, USA.
  • Richard E Fan
    Department of Urology, Stanford University, Stanford, CA 94305, USA.
  • Geoffrey A Sonn
    Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.