Application of the Doylestown algorithm for the early detection of hepatocellular carcinoma.

ABSTRACT:

Background

We previously developed a logistic regression algorithm that uses AFP, age, gender, ALK and ALT levels to improve the detection of hepatocellular carcinoma (HCC). In 3,158 patients from 5 independent sites, this algorithm, referred to as the "Doylestown" algorithm, increased the AUROC of AFP 4% to 12% and had equal benefit regardless of tumor size or the etiology of liver disease.

Aims

Analysis of the Doylestown algorithm using samples from individuals taken before their diagnosis of HCC.

Methods

Here, the algorithm was tested using samples at multiple time points from (a) patients with established chronic liver disease, without HCC (120 patients) and (b) 116 patients with HCC diagnosis (85 patients with early stage HCC and 31 patients with recurrent HCC),

SUBMITTER: Mehta AS 

PROVIDER: S-EPMC6118370 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature