AI Article Synopsis
- Hepatic steatosis can significantly impact post-transplant liver survival, making it important to assess steatosis before surgery; while liver biopsy is the standard method, it's invasive, prompting the use of CT liver attenuation index (LAI) as a non-invasive alternative.
- The study aimed to assess the effectiveness of CT LAI and BMI in predicting macrovesicular steatosis in living liver donors by comparing results with histological analysis, which served as the gold standard.
- Findings showed that CT LAI accurately predicted steatosis levels in nearly all cases, with no strong correlation with BMI, indicating that while CT LAI can reduce the need for biopsies in certain cases, BMI is not a reliable predictor of steatosis in
Article Abstract
Background: Hepatic steatosis threatens post-transplant graft survival; therefore, pre-operative quantification of steatosis is crucial. Gold standard for evaluation is donor liver biopsy but it is invasive. An alternative non-invasive method is a calculation of CT liver attenuation index. BMI can be an independent factor predicting grade of steatosis but it is necessary to re-define appropriate BMI cut-off points that are specific for Asians.
Objective: To retrospectively analyze CT LAI and BMI for quantitative assessment of macrovesicular steatosis in living related liver donors, using histological analysis as gold standard.
Materials And Methods: A radiologist blinded to histological grading calculated mean CT hepatic attenuation in 48 potential living related liver donors.
Results: CT-derived LAI correctly predicted steatosis in all except 1 patient. Parametric analysis for CT LAI and BMI showed overall weak positive correlation. No significant association was found between BMI and biopsy findings.
Conclusion: Liver biopsy remains a gold standard for evaluation of steatosis. CT LAI of ≤0 correlates well with significant hepatic steatosis and biopsy may be avoided in such cases. Biopsy may be reserved for patients with CT LAI between 1 and 5. BMI alone is not a good predictor of hepatic steatosis in our study population.
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| http://dx.doi.org/10.1111/ctr.12782 | DOI Listing |
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