Allocation of cadaveric livers to patients based on such objective medical urgency data as the Model for End-Stage Liver Disease (MELD) score may not benefit patients with small hepatocellular carcinomas (HCCs). To ensure that these patients have a fair opportunity of receiving a cadaveric organ, the risk for death caused by HCC and tumor progression beyond 5 cm should be considered. Using a Markov model, two hypothetical cohorts of patients with small hepatomas were assumed to have either (1) Gompertzian tumor growth, in which initial exponential growth decreases as tumor size increases; or (2) rapid exponential growth. The model tracked the number of patients who either died or had tumor progression beyond 5 cm. These results were used to back-calculate an equivalent MELD score for patients with small HCCs. All probabilities in the model were varied simultaneously using a Monte Carlo simulation. The Gompertzian growth model predicted that patients with a 1-and 4-cm tumor have 1-year progression-free survival rates of 70% (HCC-specific MELD score 6) and 66% (HCC-specific MELD score 8), respectively. When assuming rapid exponential growth, patients with a 1-and 4-cm tumor have progression-free survival rates of 69% (HCC-specific MELD score 6) and 12% (HCC-specific MELD score 24), respectively. Our model predicted that the risk for death caused by HCC or tumor progression beyond 5 cm should increase with larger initial tumor size in patients with small hepatomas. To ensure that these patients have a fair opportunity to receive a cadaveric organ, HCC-specific scores predicted by our model could be added to MELD scores of patients with HCC. (Liver Transpl 2002;8:323-328.) T he mandate by the Department of Health and Human Services to allocate livers to the sickest patients based on objective medical urgency data has led to the proposal that prioritization of liver transplant candidates be based on a model developed by the Mayo Clinic, the Model for End-Stage Liver Disease (MELD). 1-3 The MELD formula uses prognostic factors and disease cause to calculate a risk score for mortality on the waiting list. Patients with a higher score have a higher priority for receiving a donor liver. Under the MELD scoring system, patients with early hepatocellular carcinoma (HCC) are unlikely to achieve a high score because many of these patients have well-maintained liver synthetic function. However, without a timely transplant for these patients, HCC may progress in size and lead to death.How could access to timely transplantation be improved for patients with HCC under the MELD system? One approach would be to incorporate into the MELD the likelihood of being removed from the waiting list because of death secondary to HCC or disease progression. In the absence of a published trial, decision analytic modeling is a method that can be used to estimate this likelihood. Previously published decision models have assessed the risk for HCC tumor progression by assuming that tumor growth is constant. 4,5 However, several natural history st...