Abstract #4322

MR Fingerprinting and Apparent Diffusion Coefficient Mapping for quantitative characterization of clinically significant Prostate Cancer

Barbara Daria Wichtmann¹, Manuela Bergau¹, Niklas Kerkfeld¹, Moritz Wolter², Christoph Katemann³, Mariya Doneva³, Sven Kabus³, Oliver Weber³, Peter Mazurkewitz³, Claus Christian Pieper¹, Ulrike Irmgard Attenberger¹, Shadi Albarqouni¹, and Julian Alexander Luetkens¹

¹Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany, ²High Performance Computing & Analytics Lab, University Bonn, Bonn, Germany, ³Philips GmbH Market DACH, Hamburg, Germany

Synopsis

Keywords: Prostate, Cancer

Motivation: Diagnosing clinically significant prostate cancer(PCa) while avoiding overdiagnosis is crucial. Quantitative imaging techniques allow for more objective assessment of prostate lesions. Magnetic resonance fingerprinting(MRF) combined with apparent diffusion coefficient(ADC) might allow quantitative characterization of prostate lesions. Further validation studies with histopathological correlation are required.

Goal(s): To evaluate the utility of MRF and ADC for quantitative characterization of prostate lesions and correlate our results with pathology.

Approach: This study included 106 biopsy-naive patients with elevated PSA levels that underwent an mpMRI exam with additional acquisition of MRF.

Results: ADC and MRF based relaxometry allow quantitative characterization of prostate lesions that correlate with histopathology.

Impact: There is growing interest in the clinical application of quantitative imaging techniques for more objective assessment of prostate lesions. MRF is a fast and efficient method that promises to quantitatively characterize PCa in the future.

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