Since Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) was established, there has been much effort to detect clinically significant cancer (CSC,GS ≥7), using magnetic resonance imaging (MRI). This system has shown a maximum accuracy of 82% at a threshold of ≥ 4 [1]. To date, bi-parametric MRI consisting of T2-weighted images (T2WI) and diffusion-weighted images (DWI) has emerged as an alternative to multi-parametric MRI for evaluation of prostate cancer (PCa), and has shown a comparable diagnostic performance to that of multi-parametric MRI for...

Patients and Selection criteria 81 patients (mean age: 70 years, range: 48-87 years) who had been histologically confirmed as prostate adenocarcinoma by radical prostatectomy or non-targeted systematic biopsy were enrolled in this study between January 2017 and February 2019. MR imaging All prostate MRI scans were performed in a 3.0-T MR machine (Achieva; Philips Medical imaging, Best, Netherlands) with a parallel-array body coil (SENSE Torso/cardiac coil; USA Instruments, Gainesville, FL, USA). MR Texture analysis First, two radiologists with 15 and 3 years of experience in...

Among the initially recruited patients, 16 were additionally excluded due to no identified focal lesion. Finally, a total of 65 patients were enrolled in this study. Table 1 summarizes the demographics of the study population. The detailed results on the associations between the texture parameters and GS are provided inTable 2andTable 3. After multiple regression analyses on those significant texture parameters on the combined T2WI and ADC map, GLCM entropy on ADC map (R2=0.4227, R2-adjusted, 0.4043, rpartial, 0.3583,P=0.0034) was the only significant indicator for GS....

In conclusion, GLCM entropy on ADC map was associated with GS in patients with PCa.

T. Baek; Busan/KR - nothing to disclose S. H. Kim; Busan/KR - nothing to disclose S. J. Park; Seoul/KR - nothing to disclose

Park SY, Jung DC, Oh YT, Cho NH, Choi YD, Rha KH, et al. Prostate cancer:PI-RADS version 2 helps preoperatively predict clinically significant cancers. Radiology 2016;280:105-116 Woo S, Suh CH, Kim SY, Cho JY, Kim SH, Moon MH. Head-to-Head Comparision Between Biparametric and Multiparametric MRI for the Diagnosis of Prostate Cancer: A systematic Review and Meta-Analysis. AJR 2018;211:W226-W241 Choi MH, Kim CK, Lee YJ, Jung SE. Prebiopsy Biparametric MRI for Clinically Significant Prostate Cancer Detection With PI-RADS Version 2: A Multicenter Study. AJR 2019;212:839-846 Haralick...