Project Grant R21CA301093

Award Date 6/1/25
Completion Date 5/31/27
Dollars Obligated $245K
Federal Grant Program
93.394
Assistance Type
Project Grant
Place of Performance
Delaware, USA
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  1. Curation of a comprehensive dataset of 300 public and 50 MSK prostate MRI scans, with corresponding radiologist PIRADS reports, to enable training of AI models.

  2. Development of a Prostate Vision Language Model (ProspVLM) that can integrate both visual data (MRI scans and annotations) and textual data (radiologist rationales) to accurately segment the prostate gland, anatomical zones, and lesions while aligning with radiologist expertise.

  3. Evaluation of whether the inclusion of radiologist rationales from PIRADS reports improves the performance of MRI segmentation compared to training on images alone.

The project aims to overcome key barriers preventing the clinical adoption of AI tools for prostate MRI interpretation by leveraging radiologist insights expressed in standardized PIRADS reports. The curated dataset and ProspVLM model will be shared publicly to support future research in this area.

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