The National Cancer Institute (NCI) awarded a 5-year, $598,046 Project Grant under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to Case Western Reserve University (CWRU) to develop a rapid and reproducible Magnetic Resonance Fingerprinting (MRF) method. The goal is to quantitatively and accurately characterize prostatic peripheral zone tissue to limit overdiagnosis and unnecessary biopsies for prostate cancer patients. The project will leverage novel deep learning techniques and multi-slice imaging to achieve rapid, whole-gland prostate MRF for simultaneous T1, T2, and diffusion quantification (Aim 1). Deep learning-based prostate segmentation from MRF signal evolutions will also be developed to automatically extract quantitative metrics from the peripheral zone (Aim 2). The developed MRF-based methods will then be evaluated in a diagnostic study of patients with clinical indications for a biopsy to assess their capability to more accurately inform biopsy decisions (Aim 3). Upon successful completion, this advanced MRI technique is expected to provide more quantitative prostate tissue assessment, optimizing biopsy avoidance for patients with a negative MRI.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $598.0k | 5/17/24 |