Literature DB >> 26555703

Non-invasive quantification of hepatic steatosis in living, related liver donors using dual-echo Dixon imaging and single-voxel proton spectroscopy.

S Krishan1, D Jain2, Y Bathina3, A Kale3, N Saraf4, S Saigal4, N Choudhary4, S S Baijal2, A Soin4.   

Abstract

AIM: To evaluate the diagnostic implications of hepatic fat fraction calculated using dual-echo Dixon imaging and (1)H magnetic resonance spectroscopy (MRS) to detect hepatic steatosis in potential liver donors using histopathology as the reference standard.
MATERIALS AND METHODS: One hundred and forty-five potential liver donors were included in the study. Magnetic resonance imaging (MRI) was performed using a 1.5 T system using a three-dimensional dual-echo MRI sequence with automated reconstruction of in-phase (IP), out-of-phase (OP), fat-signal-only, and water-signal-only images. Hepatic fat fraction was calculated by drawing 15 regions of interest on the IP, OP, fat-only, and water-only images. Single-voxel MRS was performed at echo times (TEs) of 30 ms in the right and left lobes of liver. Liver fat fraction was calculated from water and fat peaks. One hundred and forty-five biopsies were prospectively evaluated for steatosis by a pathologist using traditional determination of the cell-count fraction. MRI and pathology values of steatosis were correlated using Pearson's correlation coefficient. The sensitivity and specificity of each of these methods was calculated using histopathology as the reference standard. Reproducibility was assessed in 40 patients who had repeat scanning within 4-40 days. Measurement error was calculated from the coefficient of variation (CoV) with histopathologically proven <5% fat (n=112).
RESULTS: The Bland-Altman limits of agreement with 95% confidence intervals (CI) was -2.9 to 5.3%. The intraclass correlation coefficient (ICC) for interobserver variability and reproducibility was 0.94 (95% CI: 0.91-0.97), 0.92 (95% CI: 0.91-0.97). The CoV was 7.6% (95% CI: 3.4-11.85). The area under the receiver operating characteristic (ROC) curve (AUC) for Dixon imaging 0.89 (95% CI: 0.87-0.91), for MRS 0.88 (95% CI: 0.86-0.90). The sensitivity for detecting <5% fat was 84% and specificity was 90%.
CONCLUSION: Combination of dual-echo Dixon imaging and proton MRS is a useful tool for the preoperative diagnosis of hepatic steatosis in potential living liver donors. This can help avoid unnecessary biopsies in these patients.
Copyright © 2015 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26555703     DOI: 10.1016/j.crad.2015.10.002

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  9 in total

1.  Selection and outcome of the potential live liver donor.

Authors:  Viniyendra Pamecha; Shyam Sunder Mahansaria; Kishore G S Bharathy; Senthil Kumar; Shridhar Vasantrao Sasturkar; Piyush Kumar Sinha; Shiv Kumar Sarin
Journal:  Hepatol Int       Date:  2016-03-17       Impact factor: 6.047

2.  Estimation of proton density fat fraction of the salivary gland.

Authors:  Toru Chikui; Yasuo Yamashita; Yoshitaka Kise; Tomonori Saito; Kazutoshi Okamura; Kazunori Yoshiura
Journal:  Br J Radiol       Date:  2018-02-06       Impact factor: 3.039

Review 3.  Screening of Cardiovascular Disease in Nonalcoholic Fatty Liver Disease: Whom and How?

Authors:  Narendra S Choudhary; Ajay Duseja
Journal:  J Clin Exp Hepatol       Date:  2019-02-15

4.  Diagnostic Accuracy and Optimal Cut-off of Controlled Attenuation Parameter for the Detection of Hepatic Steatosis in Indian Population.

Authors:  Mohammad S Kuchay; Narendra S Choudhary; Deepak Sharma; Sonal Krishan; Sunil K Mishra; Jasjeet S Wasir; Manish K Singh; Neeraj Saraf; Swapnil Dhampalwar; Randhir Sud
Journal:  J Clin Exp Hepatol       Date:  2021-10-13

Review 5.  Noninvasive Quantitative Detection Methods of Liver Fat Content in Nonalcoholic Fatty Liver Disease.

Authors:  Shujing Lv; Sushan Jiang; Shousheng Liu; Quanjiang Dong; Yongning Xin; Shiying Xuan
Journal:  J Clin Transl Hepatol       Date:  2018-06-22

6.  Measuring liver fat fraction with complex-based chemical shift MRI: the effect of simplified sampling protocols on accuracy.

Authors:  Alexander J Procter; Julia Y Sun; Paul N Malcolm; Andoni P Toms
Journal:  BMC Med Imaging       Date:  2019-02-08       Impact factor: 1.930

7.  TRIB1 rs17321515 and rs2954029 gene polymorphisms increase the risk of non-alcoholic fatty liver disease in Chinese Han population.

Authors:  Qun Liu; Feng Xue; Jing Meng; Shou-Sheng Liu; Li-Zhen Chen; Hui Gao; Ning Geng; Wen-Wen Jin; Yong-Ning Xin; Shi-Ying Xuan
Journal:  Lipids Health Dis       Date:  2019-03-09       Impact factor: 3.876

8.  Systematic Review and Meta-analysis of Circulating Fetuin-A Levels in Nonalcoholic Fatty Liver Disease.

Authors:  Shousheng Liu; Jianhan Xiao; Zhenzhen Zhao; Mengke Wang; Yifen Wang; Yongning Xin
Journal:  J Clin Transl Hepatol       Date:  2020-12-09

Review 9.  Computational Modeling in Liver Surgery.

Authors:  Bruno Christ; Uta Dahmen; Karl-Heinz Herrmann; Matthias König; Jürgen R Reichenbach; Tim Ricken; Jana Schleicher; Lars Ole Schwen; Sebastian Vlaic; Navina Waschinsky
Journal:  Front Physiol       Date:  2017-11-14       Impact factor: 4.566

  9 in total

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