Literature DB >> 23791546

Differentiation of central gland prostate cancer from benign prostatic hyperplasia using monoexponential and biexponential diffusion-weighted imaging.

Xiaohang Liu1, Liangping Zhou, Weijun Peng, Chaofu Wang, He Wang.   

Abstract

PURPOSE: To investigate biexponential apparent diffusion parameters of prostate central gland (CG) cancer, stromal hyperplasia (SH), and glandular hyperplasia (GH) and compare with monoexponential apparent diffusion coefficient (ADC) value for discriminating prostate cancer from benign hyperplasia.
MATERIALS AND METHODS: Twenty-one CG cancer foci, 23 SH and 26 GH nodules in the CG were analyzed in 39 patients (19 with CG cancer, 20 with peripheral zone cancer but no CG cancer) who underwent preoperative conventional DWI (b-value 0, 1000s/mm(2)) and a 10 b-value (range 0 to 3000s/mm(2)) DWI. All of the cancer and hyperplastic foci on MR images were localized on the basis of histopathologic correlation. The ADC value of the monoexponential DWI, and the fast apparent diffusion coefficient (ADCf), slow apparent diffusion coefficient (ADCs) value and the fraction of ADCf (f) of the biexponential DWI were calculated for all of the lesions. Receiver operating characteristic (ROC) analysis was performed for the differentiation of CG cancer from SH and GH.
RESULTS: The ADC values (×10(-3)mm(2)/s) were 0.87±0.11, 1.06±0.15, and 1.61±0.27 in CG cancer, SH and GH foci, respectively, and differed significantly, yielding areas under the ROC curve (AUCs) of 1.00 and 0.80 for the differentiation of carcinoma from GH and SH, respectively. The ADCf (×10(-3)mm(2)/s), ADCs (×10(-3)mm(2)/s) and f for cancer were 1.92±0.38, 0.53±0.17, and 47.7±6.1%, respectively, which were lower than the same values for GH (3.43 ±0.65, 1.12±0.21, 61.1±8.7%) (all p<0.01). The ADCf and ADCs for cancer were also lower than those for SH (3.11±0.30, 0.79±0.21) (all p<0.01). The ADCf yielded AUCs (1.00, p>0.01) that were comparable to those from ADC for the differentiation of cancer from GH, while ADCf yielded higher AUCs (0.92) compared with ADC (p<0.01) for the differentiation of cancer from SH. ADCs and f revealed AUCs of 0.97 and 0.90, respectively, for the differentiation of cancer from GH, and the ADCs offered relatively lower AUCs (0.68) for differentiating cancer from SH.
CONCLUSION: Biexponential DWI could potentially improve the differentiation of prostate cancer in CG, and the ADCf of the biexponential model offers better accuracy than ADC.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biexponential apparent diffusion; Diffusion weighted imaging; Prostate

Mesh:

Year:  2013        PMID: 23791546     DOI: 10.1016/j.mri.2013.03.002

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  6 in total

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3.  Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging.

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4.  In vivo MRI based prostate cancer localization with random forests and auto-context model.

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5.  Ultra-high b-value diffusion-weighted imaging features of the prostatic leiomyoma-case report.

Authors:  Yanguang Shen; Yan Zhong; Haiyi Wang; Lu Ma; Yingwei Wang; Jinjin Pan; Zhonghua Sun; Huiyi Ye
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6.  The Histogram Analysis of Intravoxel Incoherent Motion-Kurtosis Model in the Diagnosis and Grading of Prostate Cancer-A Preliminary Study.

Authors:  Chunmei Li; Lu Yu; Yuwei Jiang; Yadong Cui; Ying Liu; Kaining Shi; Huimin Hou; Ming Liu; Wei Zhang; Jintao Zhang; Chen Zhang; Min Chen
Journal:  Front Oncol       Date:  2021-10-27       Impact factor: 6.244

  6 in total

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