University of California Los Angeles
RADIATION-DIAGNOSTIC/ONCOLOGY
Los Angeles · United States
NIH R01 · 2024
Computational Feature Profiling and Modeling for Prostate Cancer Detection and Risk Stratification
PROJECT SUMMARY/ABSTRACT Prostate cancer is the most common and second deadliest non-skin cancer in American men, accounting for 26% of new cancer diagnoses and 9% of cancer deaths in men. Active surveillance, radical prostatectomy and radiotherapy are commonly used treatments for clinically localized prostate cancer. However, current risk stratification methods cannot be used effectively to avoid subjecting patients with clinically indolent cancers to unnecessary interventions, causing significant morbidity and cost. The primary components currently involved in screening are the digital rectal exam (DRE) and serum biomarkers, such as PSA, PCA3, PHI, and 4Kscore. Unfortunately, despite…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.