Predicting Response to Intravesical BCG in High-Risk NMIBC Using an Artificial Intelligence–Powered Pathology Assay: Development and Validation in an International 12-Center Cohort

We developed and validated AI-based histologic assays that identify high-risk nonmuscle-invasive bladder cancer cases at higher risk of recurrence, progression, BCG-unresponsive disease, and cystectomy, potentially aiding clinical decision making.

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Institutions

Publication Details

Journal
The Journal of Urology
Published
2024-10-09
DOI
https://doi.org/10.1097/ju.0000000000004278
Citations
3
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
1.72

Funders

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article

Predicting Response to Intravesical BCG in High-Risk NMIBC Using an Artificial Intelligence–Powered Pathology Assay: Development and Validation in an International 12-Center Cohort

Siddhant Shingi, Michael A. O’Donnell, Steven Joniau, Andrew Redfern et al.
3 citations
The Journal of Urology
Bladder and Urothelial Cancer Treatments
1.72
article

Predicting Response to Intravesical BCG in High-Risk NMIBC Using an Artificial Intelligence–Powered Pathology Assay: Development and Validation in an International 12-Center Cohort

Siddhant Shingi, Michael A. O’Donnell, Steven Joniau, Andrew Redfern, John Arthur Taylor, Lisa Spalding, Mario I. Fernández, Vrishab Krishna, Thomas Gerald, L. Baekelandt, Eduardo Eyzaguirre, Dickon Hayne, Tahlita C.M. Zuiverloon, Ashish M. Kamat, Bryn Launer, Patrick Joseph Hensley, Yair Lotan, Derek B. Allison, Viswesh Krishna, Vivek Nimgaonkar, Damir Vrabac, Jay B. Shah, Roger Li, Eugene Shkolyar, Jennifer Gordetsky, Drew Watson, Vikram M. Narayan, Waleed M. Abuzeid, Marcela Schultz, Courtney Stewart, Solomon L. Woldu, Ameer Hamza, Vignesh T. Packiam, Stephen B. Williams, Snehal Sonawane, Daniel L. Miller, Sam S. Chang, Anirudh Joshi, Shamsunnahar Imtiaz
article en
3 citations

Abstract

We developed and validated AI-based histologic assays that identify high-risk nonmuscle-invasive bladder cancer cases at higher risk of recurrence, progression, BCG-unresponsive disease, and cystectomy, potentially aiding clinical decision making.

The Journal of UrologyVol. 213(2)
University of Iowa (US), Universidad del Desarrollo (CL), The University of Texas MD Anderson Cancer Center (US), University of Kentucky (US), Emory University (US), The University of Western Australia (AU), Universitair Ziekenhuis Leuven (BE), Clínica Alemana (CL), Erasmus MC (NL), Moffitt Cancer Center (US), University of Kansas Medical Center (US), Stanford Medicine (US), The University of Texas Medical Branch at Galveston (US), The University of Texas Southwestern Medical Center (US), Vanderbilt University Medical Center (US)
Emory University, Cleveland Clinic, Dartmouth College
Partnerships for the goals
Openalex Percentile: Top 15%
Bladder and Urothelial Cancer Treatments
1.72
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