| galad_score_hcc | R Documentation |
Calculates the GALAD score (Gender, Age, AFP-L3, AFP, DCP) to estimate the probability of Hepatocellular Carcinoma (HCC) in patients with chronic liver disease. This serum biomarker-based model demonstrates high sensitivity and specificity for detecting early-stage HCC, often outperforming AFP alone.
galad_score_hcc(sex, age, afp, afp_l3, dcp)
sex |
String. Patient sex ("Male" or "Female"). (Male adds 1.67 to the Z-score). |
age |
Numeric. Patient age in years. |
afp |
Numeric. Alpha-fetoprotein level in ng/mL. |
afp_l3 |
Numeric. Lens culinaris agglutinin-reactive fraction of AFP in percentage (%). |
dcp |
Numeric. Des-gamma-carboxy prothrombin level in ng/mL. |
A list containing:
GALAD_Score_Z |
The linear predictor score (Z). |
Probability_HCC |
The estimated probability of having HCC. |
Risk_Category |
Assessment based on standard cutoffs (e.g., Z > -0.63 suggests higher risk). |
Johnson PJ, Pirrie SJ, Cox TF, et al. The detection of hepatocellular carcinoma using a prospectively developed and validated model based on serological biomarkers. Cancer Epidemiol Biomarkers Prev. 2014;23(1):144-153. doi:10.1158/1055-9965.EPI-13-0870
# Example 1: High Risk
# 65yo Male, AFP 10 ng/mL, AFP-L3 5%, DCP 20 ng/mL
# Z-score approx 1.3 -> High Probability (~79%)
galad_score_hcc("male", 65, 10, 5, 20)
# Example 2: Low Risk
# 40yo Female, AFP 3 ng/mL, AFP-L3 1%, DCP 5 ng/mL
# Z-score approx -4.5 -> Low Probability (<2%)
galad_score_hcc("female", 40, 3, 1, 5)
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