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Liver Surface Nodularity Score Allows Prediction of Cirrhosis Decompensation and Death
Andrew D Smith1, Kevin A Zand1, Edward Florez1
1From the Departments of Radiology (A.D.S., K.A.Z., E.F., R.S., D.S., F.S., M.R.) and Data Science (M.G., S.T.L.), University of Mississippi Medical Center, 2500 N State St, Jackson, MS 39216; and ImageIQ, Cleveland, Ohio (J.B., A.V.).
Insights
The liver surface nodularity (LSN) score, measured from CT scans, can predict cirrhosis decompensation and death. This quantitative biomarker offers valuable prognostic information for patients with liver disease.
Area of Science:
- Radiology
- Hepatology
- Medical Prognostics
Background:
- Cirrhosis significantly increases the risk of decompensation and mortality.
- Current prognostic models may not fully capture individual patient risk.
- Non-invasive biomarkers are needed for better risk stratification in cirrhosis.
Purpose of the Study:
- To evaluate the liver surface nodularity (LSN) score as a predictor of hepatic decompensation and death in patients with cirrhosis.
- To assess the independent predictive value of LSN score beyond the Model for End-Stage Liver Disease (MELD) score.
Main Methods:
- Retrospective study of 830 adult patients with cirrhosis and recent MELD scores.
- LSN score quantified from routine computed tomographic (CT) images using specialized software.
- Competing risk regression analysis to assess the association of LSN score with decompensation and survival.
Main Results:
- LSN score independently predicted hepatic decompensation (HR, 1.38) and death (HR, 1.22) in patients with cirrhosis.
- Median time to decompensation varied significantly across LSN risk groups (low, intermediate, high).
- LSN score and MELD score were both independent predictors of mortality.
Conclusions:
- The liver surface nodularity (LSN) score, derived from routine CT scans, is a valuable tool for predicting cirrhosis decompensation.
- LSN score provides independent prognostic information for patient survival in cirrhosis.
- Combining LSN and MELD scores can enhance risk prediction for liver-related events.
Abstract:
Purpose To determine whether use of the liver surface nodularity (LSN) score, a quantitative biomarker derived from routine computed tomographic (CT) images, allows prediction of cirrhosis decompensation and death. Materials and Methods For this institutional review board-approved HIPAA-compliant retrospective study, adult patients with cirrhosis and Model for End-Stage Liver Disease (MELD) score within 3 months of initial liver CT imaging between January 3, 2006, and May 30, 2012, were identified from electronic medical records (n = 830). The LSN score was measured by using CT images and quantitative software. Competing risk regression was used to determine the association of the LSN score with hepatic decompensation and overall survival. A risk model combining LSN scores (<3 or ≥3) and MELD scores (<10 or ≥10) was created for predicting liver-related events. Results In patients with compensated cirrhosis, 40% (129 of 326) experienced decompensation during a median follow-up period of 4.22 years. After adjustment for competing risks including MELD score, LSN score (hazard ratio, 1.38; 95% confidence interval: 1.06, 1.79) was found to be independently predictive of hepatic decompensation. Median times to decompensation of patients at high (1.76 years, n = 48), intermediate (3.79 years, n = 126), and low (6.14 years, n = 152) risk of hepatic decompensation were significantly different (P < .001). Among the full cohort with compensated or decompensated cirrhosis, 61% (504 of 830) died during the median follow-up period of 2.26 years. After adjustment for competing risks, LSN score (hazard ratio, 1.22; 95% confidence interval: 1.11, 1.33) and MELD score (hazard ratio, 1.08; 95% confidence interval: 1.06, 1.11) were found to be independent predictors of death. Median times to death of patients at high (0.94 years, n = 315), intermediate (2.79 years, n = 312), and low (4.69 years, n = 203) risk were significantly different (P < .001). Conclusion The LSN score derived from routine CT images allows prediction of cirrhosis decompensation and death. ©RSNA, 2016 Online supplemental material is available for this article.
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