Prediction and Mapping of Intraprostatic Tumor Extent with Artificial Intelligence.

ABSTRACT:

Background

Magnetic resonance imaging (MRI) underestimation of prostate cancer extent complicates the definition of focal treatment margins.

Objective

To validate focal treatment margins produced by an artificial intelligence (AI) model.

Design setting and participants

Testing was conducted retrospectively in an independent dataset of 50 consecutive patients who had radical prostatectomy for intermediate-risk cancer. An AI deep learning model incorporated multimodal imaging and biopsy data to produce three-dimensional cancer estimation maps and margins. AI margins were compared with conventional MRI regions of interest (ROIs), 10-mm margins around ROIs, and hemigland margins. The AI model also furnished predictions of negative surgical margin probability, which were a

SUBMITTER: Priester A 

PROVIDER: S-EPMC10403686 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature