Novel Diffusion-Weighted MRI for High-Grade Prostate Cancer Detection
Technical Report,15 Sep 2017,14 Sep 2018
University of Illinois at Chicago Chicago United States
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Our initial findings illustrate the potential of the stretched exponential model parameters to better characterize high-grade prostate cancer. Additional work is underway to establish the correspondence between the DDC and a-maps with histological sections of the entire prostate gland. Given the technical difficulty with comparison of radical prostatectomy histology with imaging, we have also introduced a method to evaluate the accuracy of our novel diffusion imaging with biopsy histology. Development of a non-invasive quantitative imaging biomarker for high grade PCa will be useful for improving biopsy yield and grade accuracy, accurately identifying men appropriate for surveillance versus curative therapy, and reduce biopsies needed.
- Medicine and Medical Research