Literature DB >> 27133684

Prostate cancer: correlation of intravoxel incoherent motion MR parameters with Gleason score.

Dal Mo Yang1, Hyun Cheol Kim2, Sang Won Kim2, Geon-Ho Jahng2, Kyu Yeoun Won3, Sung Jig Lim3, Jang-Hoon Oh4.   

Abstract

PURPOSE: To evaluate the potential of intravoxel incoherent motion (IVIM) imaging to predict histological prognostic parameters by investigating whether IVIM parameters correlate with Gleason score.
MATERIALS AND METHODS: The institutional review board approved this retrospective study, and informed consent was waived. A total of 41 patients with histologically proven prostate cancer who underwent prostate MRI using a 3T MRI machine were included. For eight diffusion-weighted imaging b-values (0, 10, 20, 50, 100, 200, 500, and 800s/mm(2)), a spin-echo echo-planar imaging sequence was performed. D, f, D(⁎), and ADCfit values were compared among three groups of patients with prostate cancer: Gleason score 6 (n=9), 7 (n=16), or 8 or higher (n=16). Receiver operating characteristic (ROC) curves were generated for D, f, D(⁎), and ADCfit to assess the ability of each parameter to distinguish cancers with low Gleason scores from cancers with intermediate or high Gleason scores.
RESULTS: Pearson's coefficient analysis revealed significant negative correlations between Gleason score and ADCfit (r=-0.490, P=.001) and Gleason score and D values (r=-0.514, P=.001). Gleason score was poorly correlated with f (r=0.168, P=.292) and D(⁎) values (r=-0.108, P=.500). The ADCfit and D values of prostate cancers with Gleason scores 7 or ≥8 were significantly lower than values for prostate cancers with Gleason score 6 (P<.05). ROC curves were constructed to assess the ability of IVIM parameters to discriminate prostate cancers with Gleason score 6 from cancers with Gleason scores 7 or ≥8. Areas under the curve were 0.671 to 0.974. ADCfit and D yielded the highest Az value (0.960-0.956), whereas f yielded the lowest Az value (0.633).
CONCLUSIONS: The pure molecular diffusion parameter, D, was the IVIM parameter that best discriminated prostate cancers with low Gleason scores from prostate cancers with intermediate or high Gleason scores.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diffusion-weighted imaging; Incoherent intravoxel motion MRI; Magnetic resonance imaging; Prostate; Prostate cancer

Mesh:

Year:  2016        PMID: 27133684     DOI: 10.1016/j.clinimag.2016.01.001

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  7 in total

Review 1.  Diffusion and quantification of diffusion of prostate cancer.

Authors:  Yoshiko Ueno; Tsutomu Tamada; Keitaro Sofue; Takamichi Murakami
Journal:  Br J Radiol       Date:  2021-09-19       Impact factor: 3.039

Review 2.  Diffusion-weighted imaging in prostate cancer.

Authors:  Tsutomu Tamada; Yu Ueda; Yoshiko Ueno; Yuichi Kojima; Ayumu Kido; Akira Yamamoto
Journal:  MAGMA       Date:  2021-09-07       Impact factor: 2.533

3.  Differentiation of prostate cancer lesions in the Transition Zone by diffusion-weighted MRI.

Authors:  Jie Bao; Ximing Wang; Chunhong Hu; Jianquan Hou; Fenglin Dong; Lingchuan Guo
Journal:  Eur J Radiol Open       Date:  2017-09-29

4.  Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging for predicting histological grade of hepatocellular carcinoma: Comparison with conventional diffusion-weighted imaging.

Authors:  Shao-Cheng Zhu; Yue-Hua Liu; Yi Wei; Lin-Lin Li; She-Wei Dou; Ting-Yi Sun; Da-Peng Shi
Journal:  World J Gastroenterol       Date:  2018-02-28       Impact factor: 5.742

5.  Non-Gaussian models of diffusion weighted imaging for detection and characterization of prostate cancer: a systematic review and meta-analysis.

Authors:  V Brancato; C Cavaliere; M Salvatore; S Monti
Journal:  Sci Rep       Date:  2019-11-14       Impact factor: 4.379

6.  Using IVIM Parameters to Differentiate Prostate Cancer and Contralateral Normal Tissue through Fusion of MRI Images with Whole-Mount Pathology Specimen Images by Control Point Registration Method.

Authors:  Cheng-Chun Lee; Kuang-Hsi Chang; Feng-Mao Chiu; Yen-Chuan Ou; Jen-I Hwang; Kuan-Chun Hsueh; Hueng-Chuen Fan
Journal:  Diagnostics (Basel)       Date:  2021-12-12

7.  IVIM Parameters on MRI Could Predict ISUP Risk Groups of Prostate Cancers on Radical Prostatectomy.

Authors:  Chun-Bi Chang; Yu-Chun Lin; Yon-Cheong Wong; Shin-Nan Lin; Chien-Yuan Lin; Yu-Han Lin; Ting-Wen Sheng; Chen-Chih Huang; Lan-Yan Yang; Li-Jen Wang
Journal:  Front Oncol       Date:  2021-07-01       Impact factor: 6.244

  7 in total

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