ISSN 1308-8734 | E-ISSN 1308-8742
Original Article
Diagnostic performance of multiparametric MR imaging at 3.0 Tesla in discriminating prostate cancer from prostatitis: Histopathologic correlation
1 Department of Radiology, Ankara University School of Medicine, Ankara, Turkey  
2 Department of Biostatistics, Ankara University School of Medicine, Ankara, Turkey  
Eurasian J Med ; : -
DOI: 10.5152/eurasianjmed.2018.18195
Key Words: Prostate, Prostate cancer, Prostatitis, Multiparametric magnetic resonance imaging, Diffusion magnetic resonance imaging, T2-weighted imaging
Abstract

Purpose: To investigate the diagnostic performance of multiparametric magnetic resonance imaging (mpMRI) in differentiating prostate cancer (PCa) from prostatitis foci.

 

Materials and methods: This retrospective analysis included 81 biopsy-proven lesions (44 prostatitis and 37 PCa). Normalized T2-signal intensity (nT2SI) and SI on diffusion-weighted imaging (b=1000 and 2000 mm2/s), apparent diffusion coefficient (ADC) values, peak SI, SI at the end of the dynamic curves, mean peak time, mean enhancement percentage, and washout percentage obtained from dynamic contrast-enhanced imaging (DCEI) were measured.

 

Results: nT2SI (3.8 vs. 3.2, p=0.003) and ADC values (0.685×10−3 mm2/s vs. 0.874×10−3 mm2/s, p<0.001) were significantly higher in the prostatitis group than in the PCa group. The washout percentage was the only DCEI parameter that was significantly different between the two groups (12% vs. 4%, respectively, p=0.003). The ADC values alone showed higher sensitivity (80.5%) and specificity (75%) than all of the single criteria and most of the combined criteria. The combination of nT2SI, ADC values, and washout percentage (at least two positive criteria were sufficient for a diagnosis of PCa) yielded the highest sensitivity (77.7%) and specificity (85.7%) among all combinations.

 

 

Conclusion: PCa and prostatitis can be discriminated using mpMRI with high sensitivity and specificity.

 

Cite this article as: Peker E, Sonmez DY, Akkaya HE, Hayme S, Erden MI, Erden A. Diagnostic performance of multiparametric MR imaging at 3.0 Tesla in discriminating prostate cancer from prostatitis: Histopathologic correlation. Eurasian J Med 2018; DOI: 10.5152/eurasianjmed.2018.18195.

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