Abstract

BackgroundHepatocellular carcinoma (HCC) has limited treatment options in patients with advanced stage disease and early detection of HCC through surveillance programs is a key component towards reducing mortality. The current practice guidelines recommend that high-risk cirrhosis patients are screened every six months with ultrasonography but these are done in local hospitals with variable quality leading to disagreement about the benefit of HCC surveillance. The well-established diagnostic biomarker α-Fetoprotein (AFP) is used widely in screening but the reported performance varies widely across studies. We evaluate two biomarker screening approaches, a six-month risk prediction model and a parametric empirical Bayes (PEB) algorithm, in terms of their ability to improve the likelihood of early detection of HCC compared to current AFP alone when applied prospectively in a future study.MethodsWe used electronic medical records from the Department of Veterans Affairs Hepatitis C Clinical Case Registry to construct our analysis cohort, which consists of serial AFP tests in 11,222 cirrhosis control patients and 902 HCC cases prior to their HCC diagnosis. The six-month risk prediction model incorporates routinely measured laboratory tests, age, the rate of change in AFP over the past year with the current AFP. The PEB algorithm incorporates prior AFP screening values to identify patients with a significant elevated level of AFP at their current screen. We split the analysis cohort into independent training and validation datasets. All model fitting and parameter estimation was performed using the training data and the algorithm performance was assessed by applying each approach to patients in the validation dataset.ResultsWhen the screening-level false positive rate was set at 10%, the patient-level true positive rate using current AFP alone was 53.88% while the patient-level true positive rate for the six-month risk prediction model was 58.09% (4.21% increase) and PEB approach was 63.64% (9.76% increase). Both screening approaches identify a greater proportion of HCC cases earlier than using AFP alone.ConclusionsThe two approaches show greater potential to improve early detection of HCC compared to using the current AFP only and are worthy of further study.

Highlights

  • Hepatocellular carcinoma (HCC) has limited treatment options in patients with advanced stage disease and early detection of HCC through surveillance programs is a key component towards reducing mortality

  • Of the 12,508 patients in the analysis cohort, 12,124 had at least one AFP test with both an Alanine aminotransferase (ALT) and PLT laboratory test performed within the prior six months. This cohort of patients was randomly split into the training and validation cohorts each consisting of 451 HCC cases and 5611 controls

  • In the Hepatitis C Antiviral Long-term Treatment against Cirrhosis (HALT-C) Trial, a clinical trial with strict patient inclusion criteria, the parametric empirical Bayes (PEB) algorithm improved the sensitivity of AFP by 16.7% compared to the standard thresholding approach (77.1% vs 60.4%) when the screening-level false positive rate was set to 10% and all positive screens in HCC cases were considered to be true positive screens

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Summary

Introduction

Hepatocellular carcinoma (HCC) has limited treatment options in patients with advanced stage disease and early detection of HCC through surveillance programs is a key component towards reducing mortality. The current practice guidelines recommend that high-risk cirrhosis patients are screened every six months with ultrasonography but these are done in local hospitals with variable quality leading to disagreement about the benefit of HCC surveillance. We evaluate two biomarker screening approaches, a six-month risk prediction model and a parametric empirical Bayes (PEB) algorithm, in terms of their ability to improve the likelihood of early detection of HCC compared to current AFP alone when applied prospectively in a future study. The majority of surveillance ultrasounds in the United States take place in local hospitals with variable quality because ultrasonography is operator dependent, not sensitive in detecting early lesions and difficult to perform in obese patients. A potential approach needs through vetting prior to being used in a prospective screening trial where the algorithm is used to trigger additional diagnosis work-ups

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