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Use of Digital Pathology and Artificial Intelligence for Prostate Cancer Risk Stratification

Principal Investigator
Name
Eric Li
Degrees
M.D.
Institution
Northwestern University Feinberg School of Medicine
Position Title
Urology Resident
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCOI-876
Initial CDAS Request Approval
Dec 10, 2021
Title
Use of Digital Pathology and Artificial Intelligence for Prostate Cancer Risk Stratification
Summary
Introduction: Prostate cancer is the most common and second most lethal solid organ malignancy among men. Recent advances in digital imaging paired with artificial intelligence (AI) algorithms have the potential to more accurately quantify local disease burden and cancer aggressiveness. Moreover, independent image-based prognostic and predictive algorithms could be developed on these digital platforms.

Objective: Here we propose to further develop and evaluate digital imaging and associated AI algorithms in men with favorable risk prostate cancer (NCCN favorable intermediate risk or lower, AJCC stage IIB or less).

This project will further our understanding of the value for digital imaging and artificial intelligence in prostate cancer, and, if positive, can be readily implemented in practice.
Aims

Aims:
1. Validate and utilize a previously developed digital Gleason Grading system on prostate biopsy and radical prostatectomy (RP) specimens to determine volume of disease and presence of variant histology.
2. Determine the prognostic potential of “quantitative” pathology from biopsy tissue for predicting adverse pathology at prostatectomy, upgrading during surveillance, or progression after initial treatment (both individually and in the context of mpMRI, genomic tests, and other previously validated metrics).
3. Investigate the performance a validated, prognostic AI algorithm originally developed in the post radiotherapy setting for men undergoing surveillance or prostatectomy.

Collaborators

Lee Cooper- Northwestern University Feinberg School of Medicine Department of Pathology
Felix Fang- University of California San Francisco Department of Radiation Oncology
Timothy Showalter- University of Virginia Department of Radiation Oncology