Integration of pre-surgical blood test results predict microvascular invasion risk in hepatocellular carcinoma.

ABSTRACT: Microvascular invasion (MVI) is one of the most important factors leading to poor prognosis for hepatocellular carcinoma (HCC) patients, and detection of MVI prior to surgical operation could great benefit patient's prognosis and survival. Since it is still lacking effective non-invasive strategy for MVI detection before surgery, novel MVI determination approaches were in urgent need. In this study, complete blood count, blood test and AFP test results are utilized to perform preoperative prediction of MVI based on a novel interpretable deep learning method to quantify the risk of MVI. The proposed method termed as "Interpretation based Risk Prediction" can estimate the MVI risk precisely and achieve better performance compared with the state-of-art MVI risk estimation methods with concord

SUBMITTER: Chen G 

PROVIDER: S-EPMC7848436 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature