The advent of multiparametric magnetic resonance imaging (mpMRI) scanners combined with the international score Prostate Imaging Reporting and Data System (PI-RADS) (1) has improved the diagnosis of clinically significant prostate cancer (PCa). Maps of the apparent diffusion coefficient (ADC), computed from diffusion-weighted imaging (DWI), provide a quantitative parameter to evaluate prostate regions with suspicion of PCa. In neoplastic tissue, ADC values decrease from the one measured in normal prostatic tissue and some studies have demonstrated a possible differentiation in PCa grading, according to Gleason score (GS) classification (2-9). Currently, there are no defined thresholds that have been accepted by the radiological scientific community to discriminate healthy and diseased patients as well as to differentiate PCa grading. Thus, the purpose of our study is to analyze DWI and the corresponding ADC maps in predicting definitive GS in men submitted to radical prostatectomy for PCa.
Patients and MethodsFrom January 2016 to December 2016, 44 men with median prostate-specific antigen (PSA) of 7.3 ng/ml (range=4.2-18), clinical stage T1c and median GS equal to 6.8 (range=6-9) underwent radical retropubic prostatectomy (RRP) for biopsy of clinically significant PCa (GS ≥6 and/or more than 2 positive cores and/or a greatest percentage of cancer for each core >50%) (10); 16/44 (36.6%) patients previously enrolled in Active Surveillance (AS) program were upgraded at confirmatory biopsy and 28/44 (63.4%) men underwent repeat saturation biopsy (median=30 cores; range=28-34 cores) for persistent suspicious cancer. Previously, all patients about 10 days before prostate biopsy underwent pelvic mpMRI and two radiologists blinded to pre-imaging clinical parameters evaluated the mpMRI data separately and independently. In the presence of mpMRI lesions suggestive of cancer (PI-RADS score ≥3) (11) mpMRI/transrectal ultrasonography (TRUS) transperineal fusion guided-biopsies (12) were added to transperineal saturation biopsy using a Hitachi 70 Arietta ecograph (Hitachi Medico, Chiba, Japan) (13). All analyzed mpMRI images were acquired using a 3.0 Tesla Achieva Philips MRI scanner (Philips Medical Systems, Eindhoven, the Netherlands); the scanner was characterized by gradients of amplitude of 80 mT/m and a maximum slew rate of 200 mT/m/s. For image acquisition, a pelvic coil was used; model SENSE XL Torso 415