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Title: Quantitative evaluation of the relative apparent diffusion coefficient values on multiparametric magnetic resonance imaging to predict higher Gleason score prostate cancer. Author: Kato S, Kamijima S, Inaoka T, Kamiya N, Sasai D, Terada H, Hiruta N, Suzuki H. Journal: Scand J Urol; 2018 Jun; 52(3):180-185. PubMed ID: 29939084. Abstract: INTRODUCTION: Apparent diffusion coefficient (ADC) values on multiparametric magnetic resonance imaging (mpMRI) have been reported to correlate with high-Gleason score (GS) prostate cancer. However, the relative ADC values between tumor lesions and normal tissue have been suggested as more suitable than the absolute ADC values for evaluation of diffusion abnormalities, because absolute ADC values are susceptible to differences in scanners or scanner settings. The present study evaluated the usefulness of the relative assessment of ADC values between tumor lesions and normal tissue on preoperative mpMRI for the prediction of high-risk prostate cancer on radical prostatectomy specimens. MATERIALS AND METHODS: A retrospective analysis of 48 men who underwent radical prostatectomy between January 2013 and December 2014 was conducted. MpMRI was performed with a 3.0-T scanner using b-values of 0 and 1500 s/mm2. ADC values of the tumor (ADCTUMOR) and normal prostate and the relative ADC tumor/normal ratio (ADCTNR) were evaluated by two radiologists. RESULTS: The inter-rater reliability between two radiologists for ADCTUMOR measurement was high, with Pearson's r = 0.982. There was no difference in ADCTUMOR between GS ≤7 and GS ≥8. In contrast, ADCTNR was significantly lower in GS ≥8 than in GS ≤7. ROC curves of ADCTNR to predict higher GS (≥8) showed better classification performance (AUC = 0.8243, p = .0012 by radiologist A and AUC = 0.7961, p = .0031 by radiologist B) than of ADCTUMOR. CONCLUSIONS: The relative assessment of ADC values between tumor lesions and normal tissue could improve the detection rate of high-risk prostate cancers.[Abstract] [Full Text] [Related] [New Search]