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Abstract #2966

Quantitative Diffusion and Perfusion Parameters Discriminate High-Grade, Low-Grade, and Benign Targets at MRI-Ultrasound Fusion Biopsy

Daniel Jason Aaron Margolis1, Nishant Gandhi1, Gregory Shaw1, Shyam Natarajan2, Naira Muradyan3, Leonard Marks4

1Department of Radiology, UCLA David Geffen School of Medicine, Los Angeles, CA, United States; 2Department of Bioengineering, UCLA David Geffen School of Medicine, Los Angeles, CA, United States; 3iCAD, Inc.; 4Department of Urology, UCLA David Geffen School of Medicine

The relative utility of diffusion and perfusion imaging for detection and grading of prostate cancer is promising. In 89 patients who had 175 MRI-ultrasound fusion targeted biopsies, where regions of interest were copied from T2-weighted images onto other series, statistical significance was achieved for ADC, Ktrans, and Kep to discriminate between benign and cancerous targets, and between targets containing high-grade (Gleason pattern 4) disease from a combination of low-grade and benign disease. However, a manually-chosen hot-spot ADC was not significant for either. This suggests that the entire lesion should be evaluated to determine level of suspicion.

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Keywords

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