Literature DB >> 23892233

Detection of prostate cancer in peripheral zone: comparison of MR diffusion tensor imaging, quantitative dynamic contrast-enhanced MRI, and the two techniques combined at 3.0 T.

Chunmei Li1, Min Chen, Saying Li, Xuna Zhao, Chen Zhang, Xiaojie Luo, Cheng Zhou.   

Abstract

BACKGROUND: Previous studies have shown that the diagnostic accuracy for prostate cancer improved with diffusion tensor imaging (DTI) or quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) only. However, the efficacy of combined DTI and quantitative DCE-MRI in detecting prostate cancer at 3.0 T is still indeterminate.
PURPOSE: To investigate the utility of diffusion tensor imaging (DTI), quantitative DCE-MRI, and the two techniques combined at 3.0 T in detecting prostate cancer of the peripheral zone (PZ).
MATERIAL AND METHODS: DTI and DCE-MRI of 33 patients was acquired prior to prostate biopsy. Regions of interest (ROIs) were drawn according to biopsy zones which were apex, mid-gland, and base on each side of the PZ. Apparent diffusion coefficient (ADC), fractional anisotropy (FA), volume transfer constant (K(trans)), and rate constant (kep) values of cancerous sextants and non-cancerous sextants in PZ were calculated. Logistic regression models were generated for DTI, DCE-MRI, and DTI + DCE-MRI. Receiver-operating characteristic (ROC) curves were used to compare the ability of these models to differentiate cancerous sextants from non-cancerous sextants of PZ.
RESULTS: There were significant differences in the ADC, FA, K(trans), and kep values between cancerous sextants and non-cancerous sextants in PZ (P < 0.0001, P < 0.0001, P < 0.0001, and P < 0.0001, respectively). The area under curve (AUC) for DTI + DCE-MRI was significantly greater than that for either DTI (0.93 vs. 0.86, P = 0.0017) or DCE-MRI (0.93 vs. 0.84, P = 0.0034) alone.
CONCLUSION: The combination of DTI and quantitative DCE-MRI has better diagnostic performance in detecting prostate cancer of the PZ than either technique alone.

Entities:  

Keywords:  Diffusion tensor imaging; dynamic contrast-enhanced MRI; prostate cancer

Mesh:

Substances:

Year:  2013        PMID: 23892233     DOI: 10.1177/0284185113494978

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  9 in total

1.  Updates in advanced diffusion-weighted magnetic resonance imaging techniques in the evaluation of prostate cancer.

Authors:  Hebert Alberto Vargas; Edward Malnor Lawrence; Yousef Mazaheri; Evis Sala
Journal:  World J Radiol       Date:  2015-08-28

2.  Diagnostic value of semi-quantitative and quantitative analysis of functional parameters in multiparametric MRI of the prostate.

Authors:  Elke Hauth; Daniela Halbritter; Horst Jaeger; Horst Hohmuth; Meinrad Beer
Journal:  Br J Radiol       Date:  2017-07-27       Impact factor: 3.039

Review 3.  Multiparametric MRI in prostate cancer management.

Authors:  Linda M Johnson; Baris Turkbey; William D Figg; Peter L Choyke
Journal:  Nat Rev Clin Oncol       Date:  2014-05-20       Impact factor: 66.675

4.  Dynamic contrast-enhanced MRI of the prostate: An intraindividual assessment of the effect of temporal resolution on qualitative detection and quantitative analysis of histopathologically proven prostate cancer.

Authors:  Justin M Ream; Ankur M Doshi; Diane Dunst; Nainesh Parikh; Max X Kong; James S Babb; Samir S Taneja; Andrew B Rosenkrantz
Journal:  J Magn Reson Imaging       Date:  2016-09-20       Impact factor: 4.813

Review 5.  The expanding landscape of diffusion-weighted MRI in prostate cancer.

Authors:  Andreas G Wibmer; Evis Sala; Hedvig Hricak; Hebert Alberto Vargas
Journal:  Abdom Radiol (NY)       Date:  2016-05

Review 6.  Multiparametric MRI for localized prostate cancer: lesion detection and staging.

Authors:  Daniel J A Margolis
Journal:  Biomed Res Int       Date:  2014-11-30       Impact factor: 3.411

7.  Differential diagnosis of prostate cancer and noncancerous tissue in the peripheral zone and central gland using the quantitative parameters of DCE-MRI: A meta-analysis.

Authors:  Peng Gao; Changzheng Shi; Lianping Zhao; Quan Zhou; Liangping Luo
Journal:  Medicine (Baltimore)       Date:  2016-12       Impact factor: 1.889

8.  Quantitative parameters in dynamic contrast-enhanced magnetic resonance imaging for the detection and characterization of prostate cancer.

Authors:  Cheng Wei; Bowen Jin; Magdalena Szewczyk-Bieda; Stephen Gandy; Stephen Lang; Yilong Zhang; Zhihong Huang; Ghulam Nabi
Journal:  Oncotarget       Date:  2018-03-23

9.  Diffusion Is Directional: Innovative Diffusion Tensor Imaging to Improve Prostate Cancer Detection.

Authors:  Chen Shenhar; Hadassa Degani; Yaara Ber; Jack Baniel; Shlomit Tamir; Ofer Benjaminov; Philip Rosen; Edna Furman-Haran; David Margel
Journal:  Diagnostics (Basel)       Date:  2021-03-20
  9 in total

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