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13.12.2017 | Hepatobiliary-Pancreas

Validation of goose liver fat measurement by QCT and CSE-MRI with biochemical extraction and pathology as reference

verfasst von: Li Xu, Yangyang Duanmu, Glen M. Blake, Chenxin Zhang, Yong Zhang, Keenan Brown, Xiaoqi Wang, Peng Wang, Xingang Zhou, Manling Zhang, Chao Wang, Zhe Guo, Giuseppe Guglielmi, Xiaoguang Cheng

Erschienen in: European Radiology | Ausgabe 5/2018

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Abstract

Objectives

This study aimed to validate the accuracy and reliability of quantitative computed tomography (QCT) and chemical shift encoded magnetic resonance imaging (CSE-MRI) to assess hepatic steatosis.

Methods

Twenty-two geese with a wide range of hepatic steatosis were collected. After QCT and CSE-MRI examinations, the liver of each goose was removed and samples were taken from the left lobe, upper and lower half of the right lobe for biochemical measurement and histology. Fat percentages by QCT and proton density fat fraction by MRI (MRI-PDFF) were measured within the sample regions of biochemical measurement and histology. The accuracy of QCT and MR measurements were assessed through Spearman correlation coefficients (r) and Passing and Bablok regression equations using biochemical measurement as the "gold standard".

Results

Both QCT and MRI correlated highly with chemical extraction [r = 0.922 (p < 0.001) and r = 0.949 (p < 0.001) respectively]. Chemically extracted triglyceride was accurately predicted by both QCT liver fat percentages (Y = 0.6 + 0.866 × X) and by MRI-PDFF (Y = -1.8 + 0.773 × X).

Conclusions

QCT and CSE-MRI measurements of goose liver fat were accurate and reliable compared with biochemical measurement.

Key Points

• QCT and CSE-MRI can measure liver fat content accurately and reliably

• Histological grading of hepatic steatosis has larger sampling variability

• QCT and CSE-MRI have potential in the clinical setting

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Titel: Validation of goose liver fat measurement by QCT and CSE-MRI with biochemical extraction and pathology as reference
verfasst von: Li Xu
Yangyang Duanmu
Glen M. Blake
Chenxin Zhang
Yong Zhang
Keenan Brown
Xiaoqi Wang
Peng Wang
Xingang Zhou
Manling Zhang
Chao Wang
Zhe Guo
Giuseppe Guglielmi
Xiaoguang Cheng
Publikationsdatum: 13.12.2017
Verlag: Springer Berlin Heidelberg
Erschienen in: European Radiology / Ausgabe 5/2018
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-017-5189-x

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Validation of goose liver fat measurement by QCT and CSE-MRI with biochemical extraction and pathology as reference