A pilot study of AI-assisted reading of prostate MRI in Organized Prostate Cancer Testing.

ABSTRACT:

Objectives

To evaluate the feasibility of AI-assisted reading of prostate magnetic resonance imaging (MRI) in Organized Prostate cancer Testing (OPT).

Methods

Retrospective cohort study including 57 men with elevated prostate-specific antigen (PSA) levels ≥3 µg/L that performed bi-parametric MRI in OPT. The results of a CE-marked deep learning (DL) algorithm for prostate MRI lesion detection were compared with assessments performed by on-site radiologists and reference radiologists. Per patient PI-RADS (Prostate Imaging-Reporting and Data System)/Likert scores were cross-tabulated and compared with biopsy outcomes, if performed. Positive MRI was defined as PI-RADS/Likert ≥4. Reader variability was assessed with weighted kappa scores.

Results

The number of positive MRI

SUBMITTER: Thimansson E 

PROVIDER: S-EPMC11541807 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature