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Abstract #3339

Magnetic Resonance Fingerprinting and ADC mapping to optimize Biopsy Decision-Making in patients with a Negative Prostate MRI

Eduardo Thadeu de Oliveira Correia1, Jessie E P Sun2, Mark A Griswold1,2, Sree H Tirumani1, Yilun Sun3, Dan Ma2, Yong Chen2, and Leonardo Kayat Bittencourt1,2
1Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 2Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States

Synopsis

Keywords: Prostate, Prostate, magnetic resonance fingerprinting

Motivation: Prostate MRI alone cannot avoid all unnecessary biopsies in MRI-negative patients. This results in overdiagnosis, added morbidity and overtreatment.

Goal(s): Investigate if MRF-derived T1 and T2 maps alone or in combination with conventional ADC mapping can reduce unnecessary biopsies while maintaining optimal significant prostate cancer detection.

Approach: Regions of interest encompassing the right and left lobes of the peripheral zone were used to compute the mean T1, T2, and ADC values.

Results: With a linear regression of mean T1 and T2 values, 63% of all biopsies could be avoided, at the cost of missing one significant prostate cancer.

Impact: The use of MR Fingerprinting in prostate biopsy decision-making pathways could reduce unnecessary biopsies while maintaining optimal detection of significant prostate cancer in MRI-negative patients with clinically indicated biopsies. The prospective validation of these findings is crucial for patient outcomes.

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