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GALAD Score for Hepatocellular Carcinoma Detection in Comparison with Liver Ultrasound and Proposal of GALADUS Score
Ju Dong Yang1, Benyam D Addissie1, Kristin C Mara2
1Division of Gastroenterology and Hepatology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota.
Insights
The GALAD score, a serum biomarker model, shows superior performance over ultrasound for detecting hepatocellular carcinoma (HCC). Combining GALAD with ultrasound (GALADUS score) further improves detection accuracy in patients with chronic liver disease.
Area of Science:
- Hepatology and oncology
- Biomarker research
- Diagnostic imaging
Background:
- Hepatocellular carcinoma (HCC) poses a significant health challenge in patients with chronic liver disease.
- Early and accurate detection of HCC is crucial for effective treatment and improved patient outcomes.
- Current diagnostic methods, such as liver ultrasound, have limitations in sensitivity and specificity.
Purpose of the Study:
- To evaluate the diagnostic performance of the GALAD score for hepatocellular carcinoma (HCC) detection.
- To compare the efficacy of the GALAD score against traditional liver ultrasound imaging.
- To assess the combined performance of the GALAD score and ultrasound (GALADUS score).
Main Methods:
- Analysis of a single-center cohort (111 HCC patients, 180 controls) and a multicenter cohort (233 early HCC, 412 cirrhosis patients) from the EDRN study.
- Calculation of the area under the ROC curve (AUC) to determine diagnostic accuracy.
- Evaluation of sensitivity and specificity at specific cutoff values for the GALAD score.
Main Results:
- The GALAD score demonstrated a high AUC of 0.95 for HCC detection, outperforming ultrasound (AUC 0.82, P <0.01).
- The GALAD score achieved 91% sensitivity and 85% specificity for HCC detection at a cutoff of -0.76.
- The GALADUS score, combining GALAD and ultrasound, further improved performance with an AUC of 0.98 (95% CI, 0.96-0.99).
Conclusions:
- The GALAD score is a superior biomarker for HCC detection compared to liver ultrasound.
- The GALAD score has been validated in the United States.
- The GALADUS score offers enhanced diagnostic accuracy for HCC detection.
Background:
The GALAD score is a serum biomarker-based model that predicts the probability of having hepatocellular carcinoma (HCC) in patients with chronic liver disease. We aimed to assess the performance of the GALAD score in comparison with liver ultrasound for detection of HCC.
Methods:
A single-center cohort of 111 HCC patients and 180 controls with cirrhosis or chronic hepatitis B and a multicenter cohort of 233 early HCC and 412 cirrhosis patients from the Early Detection Research Network (EDRN) phase II HCC Study were analyzed.
Results:
The area under the ROC curve (AUC) of the GALAD score for HCC detection was 0.95 [95% confidence interval (CI), 0.93-97], which was higher than the AUC of ultrasound (0.82, P <0.01). At a cutoff of -0.76, the GALAD score had a sensitivity of 91% and a specificity of 85% for HCC detection. The AUC of the GALAD score for early-stage HCC detection remained high at 0.92 (95% CI, 0.88-0.96; cutoff -1.18, sensitivity 92%, specificity 79%). The AUC of the GALAD score for HCC detection was 0.88 (95% CI, 0.85-0.91) in the EDRN cohort. The combination of GALAD and ultrasound (GALADUS score) further improved the performance of the GALAD score in the single-center cohort, achieving an AUC of 0.98 (95% CI, 0.96-0.99; cutoff -0.18, sensitivity 95%, specificity 91%).
Conclusions:
The performance of the GALAD score was superior to ultrasound for HCC detection. The GALADUS score further enhanced the performance of the GALAD score.
Impact:
The GALAD score was validated in the United States.
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