A model based on adipose and muscle-related indicators evaluated by CT images for predicting microvascular invasion in HCC patients.

ABSTRACT:

Background and aim

The presence of microvascular invasion (MVI) will impair the surgical outcome of hepatocellular carcinoma (HCC). Adipose and muscle tissues have been confirmed to be associated with the prognosis of HCC. We aimed to develop and validate a nomogram based on adipose and muscle related-variables for preoperative prediction of MVI in HCC.

Methods

One hundred fifty-eight HCC patients from institution A (training cohort) and 53 HCC patients from institution B (validation cohort) were included, all of whom underwent preoperative CT scan and curative resection with confirmed pathological diagnoses. Least absolute shrinkage and selection operator (LASSO) logistic regression was applied to data dimensionality reduction and screening. Nomogram was constructed based o

SUBMITTER: Mao XC 

PROVIDER: S-EPMC10548702 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature