Literature DB >> 27929929

Diffusion Kurtosis Imaging Study of Rectal Adenocarcinoma Associated with Histopathologic Prognostic Factors: Preliminary Findings.

Lan Zhu1, Zilai Pan1, Qian Ma1, Wenjie Yang1, Hongyuan Shi1, Caixia Fu1, Xu Yan1, Lianjun Du1, Fuhua Yan1, Huan Zhang1.   

Abstract

Purpose To determine the correlation between diffusion kurtosis imaging (DKI)-derived parameters and prognostic factors for rectal adenocarcinoma. Materials and Methods This study was approved by the local institute review board, and written informed consent was obtained from each patient. Data from 56 patients (median age, 59.5 years; age range, 31-86 years) with rectal adenocarcinoma between April 2014 and September 2015 were involved in this prospective study. DKI (b = 0, 700, 1400, and 2100 sec/mm2) and conventional diffusion-weighted imaging (b = 0, 1000 sec/mm2) were performed. Kurtosis and diffusivity from DKI and apparent diffusion coefficients (ADCs) from diffusion-weighted imaging were measured by two radiologists. Student t test, receiver operating characteristic curves, and Spearman correlation were used for statistical analysis. Results Kurtosis was significantly higher in high-grade than in low-grade rectal adenocarcinomas on the basis of both the number of poorly differentiated clusters (PDCs) (1.136 ± 0.086 vs 0.988 ± 0.060, P < .05) and World Health Organization (WHO) grades (1.103 ± 0.086 [standard deviation] vs 1.034 ± 0.103, P < .05). In PDC grading, the diffusivity and ADC were significantly lower in high-grade tumors than in low-grade tumors (1.187 ± 0.150 vs 1.306 ± 0.129 and 1.020 ± 0.113 vs 1.108 ± 0.097, respectively; P < .05) and showed similar correlations with histologic grades (r = -0.486 and r = -0.406, respectively; P > .05). Compared with both diffusivity and ADC, kurtosis showed significantly higher sensitivity (83.3% [20 of 24] vs 70.8% [17 of 24] and 70.8% [17 of 24], respectively) and specificity (96.8% [31 of 32] vs 84.4% [24 of 32] and 81.3% [26 of 32], respectively). Kurtosis showed a better correlation with PDC grades than with WHO grades (r = 0.797 vs r = 0.293, P < .05). Kurtosis was significantly higher in pN1-2 than in pN0 tumors (1.086 ± 0.103 vs 1.009 ± 0.086, P < .05). Conclusion Kurtosis derived from DKI demonstrated a higher correlation with histologic grades compared with diffusivity and ADC. It also showed better performance in differentiating between high- and low-grade rectal adenocarcinomas and between pN1-2 and pN0 tumors. © RSNA, 2016.

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Year:  2016        PMID: 27929929     DOI: 10.1148/radiol.2016160094

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  35 in total

1.  Diffusion kurtosis imaging in the characterisation of rectal cancer: utilizing the most repeatable region-of-interest strategy for diffusion parameters on a 3T scanner.

Authors:  Yiqun Sun; Qin Xiao; Feixiang Hu; Caixia Fu; Huixun Jia; Xu Yan; Chao Xin; Sanjun Cai; Weijun Peng; Xiaolin Wang; Tong Tong; Yajia Gu
Journal:  Eur Radiol       Date:  2018-05-24       Impact factor: 5.315

2.  Prediction of Clinical Pathologic Prognostic Factors for Rectal Adenocarcinoma: Volumetric Texture Analysis Based on Apparent Diffusion Coefficient Maps.

Authors:  Zhihua Lu; Lei Wang; Kaijian Xia; Heng Jiang; Xiaoyan Weng; Jianlong Jiang; Mei Wu
Journal:  J Med Syst       Date:  2019-11-07       Impact factor: 4.460

Review 3.  Diffusion-weighted imaging in rectal cancer: current applications and future perspectives.

Authors:  Niels W Schurink; Doenja M J Lambregts; Regina G H Beets-Tan
Journal:  Br J Radiol       Date:  2019-03-05       Impact factor: 3.039

4.  Staging liver fibrosis with DWI: is there an added value for diffusion kurtosis imaging?

Authors:  Li Yang; Shengxiang Rao; Wentao Wang; Caizhong Chen; Ying Ding; Chun Yang; Robert Grimm; Xu Yan; Caixia Fu; Mengsu Zeng
Journal:  Eur Radiol       Date:  2018-01-30       Impact factor: 5.315

5.  MRI radiomics analysis for predicting preoperative synchronous distant metastasis in patients with rectal cancer.

Authors:  Huanhuan Liu; Caiyuan Zhang; Lijun Wang; Ran Luo; Jinning Li; Hui Zheng; Qiufeng Yin; Zhongyang Zhang; Shaofeng Duan; Xin Li; Dengbin Wang
Journal:  Eur Radiol       Date:  2018-11-09       Impact factor: 5.315

Review 6.  Diffusion MRI of cancer: From low to high b-values.

Authors:  Lei Tang; Xiaohong Joe Zhou
Journal:  J Magn Reson Imaging       Date:  2018-10-12       Impact factor: 4.813

7.  Whole-tumour diffusion kurtosis MR imaging histogram analysis of rectal adenocarcinoma: Correlation with clinical pathologic prognostic factors.

Authors:  Yanfen Cui; Xiaotang Yang; Xiaosong Du; Zhizheng Zhuo; Lei Xin; Xintao Cheng
Journal:  Eur Radiol       Date:  2017-10-23       Impact factor: 5.315

Review 8.  Multiparametric MRI in rectal cancer.

Authors:  Bengi Gürses; Medine Böge; Emre Altınmakas; Emre Balık
Journal:  Diagn Interv Radiol       Date:  2019-05       Impact factor: 2.630

9.  Left ventricular myocardial deformation: a study on diastolic function in the Chinese male population and its relationship with fat distribution.

Authors:  Lan Zhu; Shengjia Gu; Qingrou Wang; Xiaoyue Zhou; Simin Wang; Caixia Fu; Wenjie Yang; Jens Wetzl; Fuhua Yan
Journal:  Quant Imaging Med Surg       Date:  2020-03

10.  Evaluation of intratumoral heterogeneity by using diffusion kurtosis imaging and stretched exponential diffusion-weighted imaging in an orthotopic hepatocellular carcinoma xenograft model.

Authors:  Ran Guo; Shuo-Hui Yang; Fang Lu; Zhi-Hong Han; Xu Yan; Cai-Xia Fu; Meng-Long Zhao; Jiang Lin
Journal:  Quant Imaging Med Surg       Date:  2019-09
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