Machine learning based ultrasomics noninvasive predicting EGFR expression status in hepatocellular carcinoma patients.

Objective: To investigate the ability of ultrasomics to noninvasively predict epidermal growth factor receptor (EGFR) expression status in patients with hepatocellular carcinoma (HCC).

Methods: 198 HCC patients were comprised in the study ( = 138 in the training dataset and  = 60 in the test dataset). EGFR expression was detected by immunohistochemistry.