Literature DB >> 27862582

Whole-tumor MRI histogram analyses of hepatocellular carcinoma: Correlations with Ki-67 labeling index.

Xin-Xing Hu1, Zhao-Xia Yang1, He-Yue Liang1, Ying Ding1, Robert Grimm2, Cai-Xia Fu3, Hui Liu4, Xu Yan4, Yuan Ji5, Meng-Su Zeng1, Sheng-Xiang Rao1.   

Abstract

PURPOSE: To evaluate whether whole-tumor histogram-derived parameters for an apparent diffusion coefficient (ADC) map and contrast-enhanced magnetic resonance imaging (MRI) could aid in assessing Ki-67 labeling index (LI) of hepatocellular carcinoma (HCC).
MATERIALS AND METHODS: In all, 57 patients with HCC who underwent pretreatment MRI with a 3T MR scanner were included retrospectively. Histogram parameters including mean, median, standard deviation, skewness, kurtosis, and percentiles (5th , 25th , 75th , 95th ) were derived from the ADC map and MR enhancement. Correlations between histogram parameters and Ki-67 LI were evaluated and differences between low Ki-67 (≤10%) and high Ki-67 (>10%) groups were assessed.
RESULTS: Mean, median, 5th , 25th , 75th percentiles of ADC, and mean, median, 25th , 75th , 95th percentiles of enhancement of arterial phase (AP) demonstrated significant inverse correlations with Ki-67 LI (rho up to -0.48 for ADC, -0.43 for AP) and showed significant differences between low and high Ki-67 groups (P < 0.001-0.04). Areas under the receiver operator characteristics (ROC) curve for identification of high Ki-67 were 0.78, 0.77, 0.79, 0.82, and 0.76 for mean, median, 5th , 25th , 75th percentiles of ADC, respectively, and 0.74, 0.81, 0.76, 0.82, 0.69 for mean, median, 25th , 75th , 95th percentiles of AP, respectively.
CONCLUSION: Histogram-derived parameters of ADC and AP were potentially helpful for predicting Ki-67 LI of HCC. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 3 J. MAGN. RESON. IMAGING 2017;46:383-392.
© 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  Ki-67 expression; apparent diffusion coefficient; hepatocellular carcinoma; histogram analysis; magnetic resonance imaging

Mesh:

Substances:

Year:  2016        PMID: 27862582     DOI: 10.1002/jmri.25555

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  21 in total

1.  Pre-TACE kurtosis of ADCtotal derived from histogram analysis for diffusion-weighted imaging is the best independent predictor of prognosis in hepatocellular carcinoma.

Authors:  Li-Fang Wu; Sheng-Xiang Rao; Peng-Ju Xu; Li Yang; Cai-Zhong Chen; Hao Liu; Jian-Feng Huang; Cai-Xia Fu; Alice Halim; Meng-Su Zeng
Journal:  Eur Radiol       Date:  2018-06-19       Impact factor: 5.315

2.  DWI and IVIM are predictors of Ki67 proliferation index: direct comparison of MRI images and pathological slices in a murine model of rhabdomyosarcoma.

Authors:  Yuan Yuan; Dewei Zeng; Yajie Liu; Juan Tao; Yu Zhang; Jie Yang; Tsendjav Lkhagvadorj; Zhenzhen Yin; Shaowu Wang
Journal:  Eur Radiol       Date:  2019-11-08       Impact factor: 5.315

3.  Histogram analysis derived from apparent diffusion coefficient (ADC) is more sensitive to reflect serological parameters in myositis than conventional ADC analysis.

Authors:  Hans Jonas Meyer; Alexander Emmer; Malte Kornhuber; Alexey Surov
Journal:  Br J Radiol       Date:  2018-02-20       Impact factor: 3.039

Review 4.  Radiomics of hepatocellular carcinoma.

Authors:  Sara Lewis; Stefanie Hectors; Bachir Taouli
Journal:  Abdom Radiol (NY)       Date:  2021-01

5.  Histogram Analysis of T1-Weighted, T2-Weighted, and Postcontrast T1-Weighted Images in Primary CNS Lymphoma: Correlations with Histopathological Findings-a Preliminary Study.

Authors:  Hans-Jonas Meyer; Stefan Schob; Benno Münch; Clara Frydrychowicz; Nikita Garnov; Ulf Quäschling; Karl-Titus Hoffmann; Alexey Surov
Journal:  Mol Imaging Biol       Date:  2018-04       Impact factor: 3.488

6.  Noninvasive prediction of HCC with progenitor phenotype based on gadoxetic acid-enhanced MRI.

Authors:  Jie Chen; Zhenru Wu; Chunchao Xia; Hanyu Jiang; Xijiao Liu; Ting Duan; Likun Cao; Zheng Ye; Zhen Zhang; Ling Ma; Bin Song; Yujun Shi
Journal:  Eur Radiol       Date:  2019-09-16       Impact factor: 5.315

7.  Renal cell carcinoma: preoperative evaluate the grade of histological malignancy using volumetric histogram analysis derived from magnetic resonance diffusion kurtosis imaging.

Authors:  Ke Wang; Jingyun Cheng; Yan Wang; Guangyao Wu
Journal:  Quant Imaging Med Surg       Date:  2019-04

8.  Texture analysis on gadoxetic acid enhanced-MRI for predicting Ki-67 status in hepatocellular carcinoma: A prospective study.

Authors:  Zheng Ye; Hanyu Jiang; Jie Chen; Xijiao Liu; Yi Wei; Chunchao Xia; Ting Duan; Likun Cao; Zhen Zhang; Bin Song
Journal:  Chin J Cancer Res       Date:  2019-10       Impact factor: 5.087

9.  Preoperative prediction of hepatocellular carcinoma with highly aggressive characteristics using quantitative parameters derived from hepatobiliary phase MR images.

Authors:  Zheng Ye; Likun Cao; Yi Wei; Jie Chen; Zhen Zhang; Shan Yao; Ting Duan; Bin Song
Journal:  Ann Transl Med       Date:  2020-02

10.  Evaluation of Multiple Prognostic Factors of Hepatocellular Carcinoma with Intra-Voxel Incoherent Motions Imaging by Extracting the Histogram Metrics.

Authors:  Gaofeng Shi; Xue Han; Qi Wang; Yan Ding; Hui Liu; Yunfei Zhang; Yongming Dai
Journal:  Cancer Manag Res       Date:  2020-07-20       Impact factor: 3.989

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