1. Tumor Area Highlighting Using T2WI, ADC Map, and DWI Sequence Fusion on bpMRI Images for Better Prostate Cancer Diagnosis
- Author
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Rossy Vlăduț Teică, Mircea-Sebastian Șerbănescu, Lucian Mihai Florescu, and Ioana Andreea Gheonea
- Subjects
Space and Planetary Science ,Paleontology ,General Biochemistry, Genetics and Molecular Biology ,Ecology, Evolution, Behavior and Systematics ,prostate cancer ,bpMRI ,PI-RADS ,MRI fusion - Abstract
Prostate cancer is the second most common cancer in men worldwide. The results obtained in magnetic resonance imaging examinations are used to decide the indication, type, and location of a prostate biopsy and contribute information about the characterization or aggressiveness of detected cancers, including tumor progression over time. This study proposes a method to highlight prostate lesions with a high and very high risk of being malignant by overlaying a T2-weighted image, apparent diffusion coefficient map, and diffusion-weighted image sequences using 204 pairs of slices from 80 examined patients. It was reviewed by two radiologists who segmented suspicious lesions and labeled them according to the prostate imaging-reporting and data system (PI-RADS) score. Both radiologists found the algorithm to be useful as a “first opinion”, and they gave an average score on the quality of the highlight of 9.2 and 9.3, with an agreement of 0.96.
- Published
- 2023