Diagnostic performance of multiparametric MR imaging at 3.0 Tesla in discriminating prostate cancer from prostatitis: A histopathologic correlation

Peker E., Sonmez D. Y., Akkaya H. E., Hayme S., Erden M. I., Erden A.

Eurasian Journal of Medicine, cilt.51, sa.1, ss.31-37, 2019 (Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 51 Sayı: 1
  • Basım Tarihi: 2019
  • Doi Numarası: 10.5152/eurasianjmed.2018.18195
  • Dergi Adı: Eurasian Journal of Medicine
  • Derginin Tarandığı İndeksler: Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.31-37
  • Anahtar Kelimeler: Diffusion magnetic resonance imaging, Multiparametric magnetic resonance imaging, Prostate, Prostate cancer, Prostatitis, T2-weighted imaging
  • Erzincan Binali Yıldırım Üniversitesi Adresli: Hayır

Özet

© 2019 by the Atatürk University School of Medicine. Objective: To investigate the diagnostic performance of multiparametric magnetic resonance imaging (mpM-RI) 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 mm 2 /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 mm 2 /s vs. 0.874×10 −3 mm 2 /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.