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Automated measurement of liver attenuation to identify moderate-to-severe hepatic steatosis from chest CT scans
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October 25 2019
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Source: Eur J Radiol. 122:108723
[PDF-2.09 MB]
Details:
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Alternative Title:Eur J Radiol
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Personal Author:
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Description:Purpose:
Develop and validate an automated method for measuring liver attenuation in non-contrast low-dose chest CT (LDCT) scans and compare it to the standard manual method for identifying moderate-to-severe hepatic steatosis (HS).
Method:
The automated method identifies a region below the right lung within the liver and uses statistical sampling techniques to exclude non-liver parenchyma. The method was used to assess moderate-to-severe HS on two IRB-approved cohorts: 1) 24 patients with liver disease examined between 1/2013-1/2017 with non-contrast chest CT and abdominal MRI scans obtained within three months of liver biopsy, and 2) 319 lung screening participants with baseline LDCT performed between 8/2011-1/2017. Agreement between the manual and automated CT methods, the manual MRI method, and pathology for determining moderate-to-severe HS was assessed using Cohen’s Kappa by applying a 40 HU threshold to the CT method and 17.4% fat fraction to MRI. Agreement between the manual and automated CT methods was assessed using the intraclass correlation coefficient (ICC). Variability was assessed using Bland-Altman limits of agreement (LoA).
Results:
In the first cohort, the manual and automated CT methods had almost perfect agreement (ICC=0.97, κ=1.00) with LoA of −7.6—4.7 HU. Both manual and automated CT methods had almost perfect agreement with MRI (κ=0.90) and substantial agreement with pathology (κ=0.77). In the second cohort, the manual and automated CT methods had almost perfect agreement (ICC=0.94, κ = 0.87). LoA were −10.6—5.2 HU.
Conclusion:
Automated measurements of liver attenuation from LDCT scans can be used to identify moderate-to-severe HS on LDCT.
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Subjects:
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Source:
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Pubmed ID:31778964
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Pubmed Central ID:PMC7179816
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Document Type:
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Funding:
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Volume:122
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