Literature DB >> 29939084

Quantitative evaluation of the relative apparent diffusion coefficient values on multiparametric magnetic resonance imaging to predict higher Gleason score prostate cancer.

Seiji Kato1, Shuichi Kamijima1, Tsutomu Inaoka2, Naoto Kamiya1, Daisuke Sasai3,4, Hitoshi Terada2, Nobuyuki Hiruta3, Hiroyoshi Suzuki1.   

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.

Entities:  

Keywords:  Prostate cancer; apparent diffusion coefficient; multiparametric MRI

Mesh:

Year:  2018        PMID: 29939084     DOI: 10.1080/21681805.2018.1481143

Source DB:  PubMed          Journal:  Scand J Urol        ISSN: 2168-1805            Impact factor:   1.612


  3 in total

Review 1.  Basic concepts and applications of functional magnetic resonance imaging for radiotherapy of prostate cancer.

Authors:  Lars E Olsson; Mikael Johansson; Björn Zackrisson; Lennart K Blomqvist
Journal:  Phys Imaging Radiat Oncol       Date:  2019-02-25

2.  The Benefit of Apparent Diffusion Coefficient in Evaluating the Invasiveness of Hepatocellular Carcinoma.

Authors:  Mengyuan Jing; Yuntai Cao; Peng Zhang; Bin Zhang; Xiaoqiang Lin; Liangna Deng; Tao Han; Junlin Zhou
Journal:  Front Oncol       Date:  2021-08-24       Impact factor: 6.244

3.  Calculation of Apparent Diffusion Coefficients in Prostate Cancer Using Deep Learning Algorithms: A Pilot Study.

Authors:  Lei Hu; Da Wei Zhou; Cai Xia Fu; Thomas Benkert; Yun Feng Xiao; Li Ming Wei; Jun Gong Zhao
Journal:  Front Oncol       Date:  2021-09-09       Impact factor: 6.244

  3 in total

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