Development and validation of a digital biopsy model to predict microvascular invasion in hepatocellular carcinoma.

ABSTRACT:

Background

Microvascular invasion is a major histopathological risk factor of postoperative recurrence in patients with hepatocellular carcinoma. This study aimed to develop and validate a digital biopsy model using imaging features to predict microvascular invasion before hepatectomy.

Methods

A total of 217 consecutive patients who underwent hepatectomy for resectable hepatocellular carcinoma were enrolled at two tertiary-care reference centers. An imaging-based digital biopsy model was developed and internally validated using logistic regression analysis with adjustments for age, sex, etiology of disease, size and number of lesions.

Results

Three imaging features, i.e., non-smoothness of lesion margin (OR = 16.40), ill-defined pseudocapsula (OR = 4.93), and persiste

SUBMITTER: Birgin E 

PROVIDER: S-EPMC11457731 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature