Literature DB >> 26156619

DWI-associated entire-tumor histogram analysis for the differentiation of low-grade prostate cancer from intermediate-high-grade prostate cancer.

Chen-Jiang Wu1, Qing Wang2, Hai Li3, Xiao-Ning Wang4, Xi-Sheng Liu5, Hai-Bin Shi6, Yu-Dong Zhang7.   

Abstract

PURPOSE: To investigate diagnostic efficiency of DWI using entire-tumor histogram analysis in differentiating the low-grade (LG) prostate cancer (PCa) from intermediate-high-grade (HG) PCa in comparison with conventional ROI-based measurement.
METHODS: DW images (b of 0-1400 s/mm(2)) from 126 pathology-confirmed PCa (diameter >0.5 cm) in 110 patients were retrospectively collected and processed by mono-exponential model. The measurement of tumor apparent diffusion coefficients (ADCs) was performed with using histogram-based and ROI-based approach, respectively. The diagnostic ability of ADCs from two methods for differentiating LG-PCa (Gleason score, GS ≤ 6) from HG-PCa (GS > 6) was determined by ROC regression, and compared by McNemar's test.
RESULTS: There were 49 LG-tumor and 77 HG-tumor at pathologic findings. Histogram-based ADCs (mean, median, 10th and 90th) and ROI-based ADCs (mean) showed dominant relationships with ordinal GS of Pca (ρ = -0.225 to -0.406, p < 0.05). All above imaging indices reflected significant difference between LG-PCa and HG-PCa (all p values <0.01). Histogram 10th ADCs had dominantly high Az (0.738), Youden index (0.415), and positive likelihood ratio (LR+, 2.45) in stratifying tumor GS against mean, median and 90th ADCs, and ROI-based ADCs. Histogram mean, median, and 10th ADCs showed higher specificity (65.3%-74.1% vs. 44.9%, p < 0.01), but lower sensitivity (57.1%-71.3% vs. 84.4%, p < 0.05) than ROI-based ADCs in differentiating LG-PCa from HG-PCa.
CONCLUSIONS: DWI-associated histogram analysis had higher specificity, Az, Youden index, and LR+ for differentiation of PCa Gleason grade than ROI-based approach.

Entities:  

Keywords:  ADC; DWI; Histogram analysis; ROI

Mesh:

Year:  2015        PMID: 26156619     DOI: 10.1007/s00261-015-0499-4

Source DB:  PubMed          Journal:  Abdom Imaging        ISSN: 0942-8925


  9 in total

1.  Correlation of diffusion tensor imaging parameters and Gleason scores of prostate cancer.

Authors:  Weizhong Tian; Ji Zhang; Fangzheng Tian; Junkang Shen; Tianli Niu; Guohua He; Hong Yu
Journal:  Exp Ther Med       Date:  2017-10-24       Impact factor: 2.447

2.  Histogram analysis of DCE-MRI for chemoradiotherapy response evaluation in locally advanced esophageal squamous cell carcinoma.

Authors:  Na-Na Sun; Xiao-Lin Ge; Xi-Sheng Liu; Lu-Lu Xu
Journal:  Radiol Med       Date:  2019-10-11       Impact factor: 3.469

3.  Clear Cell Renal Cell Carcinoma Growth Correlates with Baseline Diffusion-weighted MRI in Von Hippel-Lindau Disease.

Authors:  Faraz Farhadi; Moozhan Nikpanah; Anna K Paschall; Ahmad Shafiei; Ashkan Tadayoni; Mark W Ball; W Marston Linehan; Elizabeth C Jones; Ashkan A Malayeri
Journal:  Radiology       Date:  2020-04-07       Impact factor: 11.105

4.  Histogram analysis of apparent diffusion coefficient maps for assessing thymic epithelial tumours: correlation with world health organization classification and clinical staging.

Authors:  Ling-Yan Kong; Wei Zhang; Yue Zhou; Hai Xu; Hai-Bin Shi; Qing Feng; Xiao-Quan Xu; Tong-Fu Yu
Journal:  Br J Radiol       Date:  2018-01-10       Impact factor: 3.039

5.  Impact of measurement method on interobserver variability of apparent diffusion coefficient of lesions in prostate MRI.

Authors:  Hiroaki Takahashi; Kotaro Yoshida; Akira Kawashima; Nam Ju Lee; Adam T Froemming; Daniel A Adamo; Ashish Khandelwal; Candice W Bolan; Matthew T Heller; Robert P Hartman; Bohyun Kim; Kenneth A Philbrick; Rickey E Carter; Lance A Mynderse; Mitchell R Humphreys; Jason C Cai; Naoki Takahashi
Journal:  PLoS One       Date:  2022-05-23       Impact factor: 3.752

6.  Diffusion Weighted Imaging for Differentiating Benign from Malignant Orbital Tumors: Diagnostic Performance of the Apparent Diffusion Coefficient Based on Region of Interest Selection Method.

Authors:  Xiao-Quan Xu; Hao Hu; Guo-Yi Su; Hu Liu; Hai-Bin Shi; Fei-Yun Wu
Journal:  Korean J Radiol       Date:  2016-08-23       Impact factor: 3.500

7.  Histogram analysis of diffusion kurtosis imaging of nasopharyngeal carcinoma: Correlation between quantitative parameters and clinical stage.

Authors:  Xiao-Quan Xu; Gao Ma; Yan-Jun Wang; Hao Hu; Guo-Yi Su; Hai-Bin Shi; Fei-Yun Wu
Journal:  Oncotarget       Date:  2017-07-18

8.  Whole-lesion apparent diffusion coefficient histogram analysis: significance in T and N staging of gastric cancers.

Authors:  Song Liu; Yujuan Zhang; Ling Chen; Wenxian Guan; Yue Guan; Yun Ge; Jian He; Zhengyang Zhou
Journal:  BMC Cancer       Date:  2017-10-02       Impact factor: 4.430

9.  Thyroid-Associated Orbitopathy: Evaluating Microstructural Changes of Extraocular Muscles and Optic Nerves Using Readout-Segmented Echo-Planar Imaging-Based Diffusion Tensor Imaging.

Authors:  Huan Huan Chen; Hao Hu; Wen Chen; Dai Cui; Xiao Quan Xu; Fei Yun Wu; Tao Yang
Journal:  Korean J Radiol       Date:  2020-03       Impact factor: 3.500

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.