Biparametric Quantitative MRI for Prostate Cancer Detection.

Autor:	Uyanik M; Department of Urology, College of Medicine, University of Illinois at Chicago, Chicago, IL., Vigneswaran HT; Department of Urology, College of Medicine, University of Illinois at Chicago, Chicago, IL., Hale GR; Department of Urology, College of Medicine, University of Illinois at Chicago, Chicago, IL., Gann P; Department of Pathology, College of Medicine, University of Illinois at Chicago, Chicago, IL., Magin R; Richard and Loan Hill Department of Bioengineering, College of Engineering, University of Illinois at Chicago, Chicago, IL., Abern MR; Department of Urology, College of Medicine, University of Illinois at Chicago, Chicago, IL.
Jazyk:	angličtina
Zdroj:	Topics in magnetic resonance imaging : TMRI [Top Magn Reson Imaging] 2023 Dec 01; Vol. 32 (6), pp. 66-72. Date of Electronic Publication: 2023 Nov 15.
DOI:	10.1097/RMR.0000000000000308
Abstrakt:	Objectives: This study sought to prospectively investigate a novel quantitative biparametric prostate magnetic resonance imaging (MRI) protocol to detect prostate cancer (PCa) in biopsy-naïve men. Secondarily, this study reports the accuracy of fractional order calculus (FROC) diffusion and quantitative T2 compared with the Prostate Imaging Reporting & Data System (PI-RADS). Methods: This prospective pilot study (NCT04175730) enrolled 50 prostate biopsy-naïve men who met eligibility criteria. All men received 3T MRI with T2 and diffusion-weighted imaging (DWI) (b-values: 50-4,000 s/mm2). Men with PI-RADS lesions ≥3 underwent targeted and systematic prostate biopsy, omitting systematic biopsy cores in peripheral zone lesions. DWI series images were fit to signal decay to calculate ADC (mm2/s) and the FROC model for coefficient DF (mm2/s). The primary end point was detection of Gleason grade group ≥2 (GG≥2) PCa. Receiver operating characteristic regression and area under the curve (AUC) were reported. Results: Forty-eight men underwent MRI and biopsy. Mean age was 61.5 years (56-68), 29% were White, 52% were African American, mean PSA was 6.0 ng/mL (4.9-8.0), and mean PSA density was 0.14 ng/mL2. In total, 61 PI-RADS ≥3 lesions were targeted for biopsy. GG≥2 PC was found in 7% (1/14) of PI-RADS 3 lesions, 28% (10/36) of PI-RADS 4 lesions, and 36% (4/11) of PI-RADS 5 lesions. The AUC for detection of GG≥2 PC was 0.63 (0.5-0.76) for PI-RADS, 0.82 (0.68-0.96) for ADC, and 0.87 (0.77-0.97) for the FROC model. Conclusion: This small prospective pilot study demonstrates the feasibility of a novel quantitative biparametic MRI protocol to detect prostate cancer in biopsy-naïve men. Competing Interests: The authors report no conflicts of interest. (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.)
Databáze:	MEDLINE
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