Literature DB >> 31654537

Diagnostic accuracy of quantitative diffusion parameters in the pathological grading of hepatocellular carcinoma: A meta-analysis.

Dawei Yang1, Hualong She2, Xiaopei Wang1, Zhenghan Yang1, Zhenchang Wang1.   

Abstract

BACKGROUND: Accurate preoperative assessment of the pathological grade of hepatocellular carcinoma (HCC) could greatly benefit prognostic predictions.
PURPOSE: To assess and compare the diagnostic accuracy of the apparent diffusion coefficient (ADC) and tissue diffusivity (D) for the noninvasive pathological grading of HCC. STUDY TYPE: Meta-analysis. DATA SOURCES: PubMed/Medline, EMBASE, the Web of Science, and the Cochrane Library were searched to find related original articles published up to May 30, 2019. FIELD STRENGTH/SEQUENCE: Diffusion-weighted imaging (DWI) and/or intravoxel incoherent motion (IVIM) were performed with a 1.5T or 3.0T scanner. ASSESSMENT: The Quality Assessment of Diagnostic Accuracy Studies 2 tool was used to assess the methodologic quality. STATISTICAL TESTS: The bivariate random-effects model was used to obtain the pooled sensitivity and specificity, and the area under summary receiver operating characteristic curve (AUROC) was obtained. Subgroup analyses were performed.
RESULTS: A total of 16 original articles (1428 HCCs) were included. Most studies had a low to unclear risk of bias and minimal concerns regarding applicability. For the discrimination of well-differentiated HCCs, the pooled sensitivity and specificity of the ADC value were 85% and 92%, respectively. For the discrimination of poorly differentiated HCCs, the pooled sensitivity and specificity of the ADC value and D were 84% and 80%, and 92% and 77%, respectively. The summary AUROC of D (0.94) was significantly higher than that of ADC (0.89) (z = -2.718, P = 0.007). The subgroup analyses identified three covariates including size, number of included lesions in the studies, and blindness to the reference standard as possible sources of heterogeneity. DATA
CONCLUSION: This meta-analysis showed that the ADC and D values had a high to excellent accuracy for the noninvasive pathological grading of HCCs and that the D value was superior to the ADC value for discriminating poorly differentiated HCCs. LEVEL OF EVIDENCE: 3 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;51:1581-1593.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  diagnostic accuracy; diffusion-weighted imaging; hepatocellular carcinoma; meta-analysis; pathological grade

Mesh:

Year:  2019        PMID: 31654537     DOI: 10.1002/jmri.26963

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


  9 in total

1.  Preoperative determination of pathological grades of primary single HCC: development and validation of a scoring model.

Authors:  Zhao-Xiang Ye; Wen Shen; Kun Zhang; Wen-Cui Li; Shuang-Shuang Xie; Li-Ying Lin; Zhi-Wei Shen
Journal:  Abdom Radiol (NY)       Date:  2022-07-17

2.  Bi-specific T1 positive-contrast-enhanced magnetic resonance imaging molecular probe for hepatocellular carcinoma in an orthotopic mouse model.

Authors:  Xiao-Hong Ma; Kun Chen; Shuang Wang; Si-Yun Liu; Deng-Feng Li; Yong-Tao Mi; Zhi-Yuan Wu; Chun-Feng Qu; Xin-Ming Zhao
Journal:  World J Gastrointest Oncol       Date:  2022-04-15

3.  The Roles of Diffusion Kurtosis Imaging and Intravoxel Incoherent Motion Diffusion-Weighted Imaging Parameters in Preoperative Evaluation of Pathological Grades and Microvascular Invasion in Hepatocellular Carcinoma.

Authors:  Fei Wang; Chun Yue Yan; Cai Hong Wang; Yan Yang; Dong Zhang
Journal:  Front Oncol       Date:  2022-05-11       Impact factor: 5.738

Review 4.  Quantitative magnetic resonance imaging for focal liver lesions: bridging the gap between research and clinical practice.

Authors:  Roberto Cannella; Riccardo Sartoris; Jules Grégory; Lorenzo Garzelli; Valérie Vilgrain; Maxime Ronot; Marco Dioguardi Burgio
Journal:  Br J Radiol       Date:  2021-05-14       Impact factor: 3.629

5.  Perfusion-Diffusion Ratio: A New IVIM Approach in Differentiating Solid Benign and Malignant Primary Lesions of the Liver.

Authors:  Joanna Podgórska; Katarzyna Pasicz; Witold Skrzyński; Bogumił Gołębiewski; Piotr Kuś; Jakub Jasieniak; Anna Kiliszczyk; Agnieszka Rogowska; Thomas Benkert; Jakub Pałucki; Iwona Grabska; Ewa Fabiszewska; Beata Jagielska; Paweł Kukołowicz; Andrzej Cieszanowski
Journal:  Biomed Res Int       Date:  2022-01-15       Impact factor: 3.411

Review 6.  Application of intravoxel incoherent motion diffusion-weighted imaging in hepatocellular carcinoma.

Authors:  Yi Zhou; Jing Zheng; Cui Yang; Juan Peng; Ning Liu; Lin Yang; Xiao-Ming Zhang
Journal:  World J Gastroenterol       Date:  2022-07-21       Impact factor: 5.374

7.  Diagnostic Accuracy of the Apparent Diffusion Coefficient for Microvascular Invasion in Hepatocellular Carcinoma: A Meta-analysis.

Authors:  Yuhui Deng; Jisheng Li; Hui Xu; Ahong Ren; Zhenchang Wang; Dawei Yang; Zhenghan Yang
Journal:  J Clin Transl Hepatol       Date:  2022-01-04

8.  Diagnostic accuracy of apparent diffusion coefficient (ADC) value in differentiating malignant from benign solid liver lesions: a systematic review and meta-analysis.

Authors:  Farhad Nalaini; Fatemeh Shahbazi; Seyedeh Maryam Mousavinezhad; Ali Ansari; Mohammadgharib Salehi
Journal:  Br J Radiol       Date:  2021-06-16       Impact factor: 3.629

9.  Comparative Study of Amide Proton Transfer Imaging and Intravoxel Incoherent Motion Imaging for Predicting Histologic Grade of Hepatocellular Carcinoma.

Authors:  Baolin Wu; Fei Jia; Xuekun Li; Lei Li; Kaiyu Wang; Dongming Han
Journal:  Front Oncol       Date:  2020-10-29       Impact factor: 6.244

  9 in total

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