Cirrhosis research discovers value of CT scans

Research has indicated that CT-measured fat and muscle changes can predict severe liver complications in chronic hepatitis B-related cirrhosis.

Hepatobiliary Communications published the study, where researchers tracked longitudinal alterations in adipose and muscle tissue through routine CT scans. Researchers discovered clear, stage-specific tissue patterns from the CT scans that can predict upcoming severe liver complications.

“We found that visceral fat and muscle shifts carry totally different warning meaning based on how advanced a patient’s cirrhosis is,” said co-lead author Xiaoyue Zhang.

“For patients with compensated early-stage cirrhosis, gradual degeneration of visceral fat signals a significantly higher risk of complications, and for those who have already experienced severe hepatic decompensation events, persistent muscle wasting serves as the primary warning marker.”

irrhosis is severe, permanent scarring of the liver caused by long-term damage from conditions such as chronic hepatitis, alcohol-associated liver disease and non-alcoholic fatty liver disease.

Clinicians mostly judge liver risk through one-time liver blood tests, which miss gradual whole-body tissue changes that drive disease deterioration. However, the research confirmed that tracking long-term tissue shifts delivers much more accurate risk alerts than isolated examinations.

Since cirrhosis patients already undergo CT scans, this discovery can prevent patients from undergoing unnecessary expensive and invasive testing.

“Past research rarely split cirrhosis patients by disease stage to sort out these tissue warning signals,” said Li. “This easy CT monitoring method allows clinicians to launch personalized nutritional and metabolic support early, effectively slowing liver damage and lifting long-term survival chances for hepatitis B cirrhosis patients.”

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Saskia Henn is a digital journalist at Scientist Live and editor of International Mining Engineer magazine. With a background in marine technology and news, she joined Setform in 2024 as a staff writer and enjoys writing across all of the company's magazines. Saskia holds a BA in Communication Science from the University of Amsterdam and an MA in Journalism from the University of London, Goldsmiths.
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