Our purpose was to explore whether 68Ga-PSMA PET/CT alone (PET/CT) or in combination with multiparametric MRI (PET/MRI) can improve the detection of clinically significant prostate cancer (PCa). Methods: We retrospectively enrolled 54 patients who underwent both MRI and PET/CT before radical prostatectomy. Regions of interest on MR images, PET/CT images, and pathologic images were marked. A lesion was defined as a region of interest marked on images obtained with any of the 3 modalities. All lesions were characterized using the prostate imaging reporting and data system (PI-RADS), the molecular imaging PSMA expression score, and the pathologic results and analyzed. Diagnostic performance was analyzed by receiver-operating-characteristic analysis. Specific improvement for lesions with different PI-RADS scores was analyzed using the net reclassification index (NRI). Results: In total, 90 lesions from 54 patients were analyzed, among which 66 lesions represented clinically significant PCa. Receiver-operating-characteristic analysis showed PET/MRI to perform better than MRI in detecting clinically significant PCa (change in area under the curve, 0.06; 95% confidence interval, 0.01-0.12; P, 0.05). With the calculated cutoff, PET/MRI performed significantly better than MRI (NRI, 21.9%; P, 0.01), with an improvement in sensitivity (89% vs. 76%, P, 0.01) at no sacrifice of specificity (96% vs. 88%, P. 0.05). Improvement in diagnosing clinically significant PCa occurred for lesions classified as PI-RADS 3 (NRI, 66.7%; P, 0.01). Conclusion: PET/MRI improves the detection of clinically significant PCa for PI-RADS 3 lesions.

Combination of 68Ga-PSMA PET/CT and multiparametric MRI improves the detection of clinically significant prostate cancer: A lesion-by-lesion analysis

Marra G.;
2019-01-01

Abstract

Our purpose was to explore whether 68Ga-PSMA PET/CT alone (PET/CT) or in combination with multiparametric MRI (PET/MRI) can improve the detection of clinically significant prostate cancer (PCa). Methods: We retrospectively enrolled 54 patients who underwent both MRI and PET/CT before radical prostatectomy. Regions of interest on MR images, PET/CT images, and pathologic images were marked. A lesion was defined as a region of interest marked on images obtained with any of the 3 modalities. All lesions were characterized using the prostate imaging reporting and data system (PI-RADS), the molecular imaging PSMA expression score, and the pathologic results and analyzed. Diagnostic performance was analyzed by receiver-operating-characteristic analysis. Specific improvement for lesions with different PI-RADS scores was analyzed using the net reclassification index (NRI). Results: In total, 90 lesions from 54 patients were analyzed, among which 66 lesions represented clinically significant PCa. Receiver-operating-characteristic analysis showed PET/MRI to perform better than MRI in detecting clinically significant PCa (change in area under the curve, 0.06; 95% confidence interval, 0.01-0.12; P, 0.05). With the calculated cutoff, PET/MRI performed significantly better than MRI (NRI, 21.9%; P, 0.01), with an improvement in sensitivity (89% vs. 76%, P, 0.01) at no sacrifice of specificity (96% vs. 88%, P. 0.05). Improvement in diagnosing clinically significant PCa occurred for lesions classified as PI-RADS 3 (NRI, 66.7%; P, 0.01). Conclusion: PET/MRI improves the detection of clinically significant PCa for PI-RADS 3 lesions.
2019
60
7
944
949
68; Ga-PSMA PET/CT; Clinically significant prostate cancer; Combination; Multiparametric MRI; Aged; Aged, 80 and over; Gallium Isotopes; Gallium Radioisotopes; Humans; Image Processing, Computer-Assisted; Male; Middle Aged; Prostatic Neoplasms; Retrospective Studies; Membrane Glycoproteins; Multiparametric Magnetic Resonance Imaging; Organometallic Compounds; Positron Emission Tomography Computed Tomography
Chen M.; Zhang Q.; Zhang C.; Zhao X.; Marra G.; Gao J.; Lv X.; Zhang B.; Fu Y.; Wang F.; Qiu X.; Guo H.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1827948
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