Predicting Response to Intravesical Bacillus Calmette-Guérin in High-Risk Nonmuscle-Invasive Bladder Cancer Using an Artificial Intelligence-Powered Pathology Assay: Development and Validation in an International 12-Center Cohort.

Journal: The Journal of urology
PMID:

Abstract

PURPOSE: There are few markers to identify those likely to recur or progress after treatment with intravesical bacillus Calmette-Guérin (BCG). We developed and validated artificial intelligence (AI)-based histologic assays that extract interpretable features from transurethral resection of bladder tumor digitized pathology images to predict risk of recurrence, progression, development of BCG-unresponsive disease, and cystectomy.

Authors

  • Yair Lotan
    Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas.
  • Viswesh Krishna
    National Public School Indiranagar, Bengaluru, Karnataka, India.
  • Waleed M Abuzeid
    University of Washington, 185 E Stevens Way NE AE100R, Seattle, WA 98195, USA.
  • Bryn Launer
    Department of Urology, Vanderbilt University Medical Center, Nashville, Tennessee.
  • Sam S Chang
  • Vrishab Krishna
    National Public School Indiranagar, Bengaluru, Karnataka, India.
  • Siddhant Shingi
    Valar Labs, Palo Alto, California.
  • Jennifer B Gordetsky
    Department of Pathology, University of Alabama at Birmingham, Birmingham, AL.
  • Thomas Gerald
    Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas.
  • Solomon Woldu
    Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas.
  • Eugene Shkolyar
    Department of Urology, Stanford University School of Medicine, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
  • Dickon Hayne
    Medical School, The University of Western Australia, Perth, Australia.
  • Andrew Redfern
    Department of Medical Oncology, University of Western Australia, Perth, Australia.
  • Lisa Spalding
    Department of Urology, University of Western Australia, Perth, Australia.
  • Courtney Stewart
    Department of Urology, University of Texas Medical Branch, Galveston, Texas.
  • Eduardo Eyzaguirre
    Department of Pathology, University of Texas Medical Branch, Galveston, Texas.
  • Shamsunnahar Imtiaz
    Department of Urology, Emory University School of Medicine, Atlanta, Georgia.
  • Vikram M Narayan
    Department of Urology, Division of Surgery, University of Texas MD Anderson Cancer Center, Houston, TX.
  • Vignesh T Packiam
    Department of Urology, University of Iowa, Iowa City, Iowa.
  • Michael A O'Donnell
    Department of Urology, University of Iowa, Iowa City, Iowa.
  • Roger Li
    Department of Urology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
  • Loïc Baekelandt
    Department of Urology, University Hospitals Leuven, Leuven, Belgium.
  • Steven Joniau
    Urology, University Hospitals Leuven, Leuven, Belgium.
  • Tahlita Zuiverloon
    Department of Urology, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Mario I Fernández
    Department of Urology, Clínica Alemana de Santiago, Santiago, Chile. mfernandeza@alemana.cl.
  • Marcela Schultz
    Faculty of Medicine, Clínica Alemana-Universidad del Desarrollo, Santiago, Chile.
  • Patrick J Hensley
    Department of Urology, University of Kentucky College of Medicine, Lexington, Kentucky.
  • Derek Allison
    Department of Pathology, University of Kentucky College of Medicine, Lexington, Kentucky.
  • John A Taylor
    Department of Urology, University of Kansas Medical Center, Kansas City, Kansas.
  • Ameer Hamza
    Department of Computer Science, HITEC University, Taxila, Pakistan.
  • Ashish Kamat
    Department of Urology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Vivek Nimgaonkar
    Valar Labs, Palo Alto, California.
  • Snehal Sonawane
    Valar Labs, Palo Alto, California.
  • Daniel L Miller
    Valar Labs, Palo Alto, California.
  • Drew Watson
    Valar Labs, Palo Alto, California.
  • Damir Vrabac
    Department of Computer Science, Stanford University, Stanford, United States.
  • Anirudh Joshi
    Valar Labs, Palo Alto, California.
  • Jay B Shah
    Department of Urology, Stanford University, Stanford, CA.
  • Stephen B Williams
    Division of Urology, Department of Surgery, The University of Texas Medical Branch, Galveston, TX.