Thoracic CT radiomics analysis for predicting synchronous brain metastasis in patients with lung cancer.

ABSTRACT:

Purpose

We aimed to assess the feasibility of radiomics analysis based on non-contrast-enhanced thoracic CT images in predicting synchronous brain metastasis (SBM) in lung cancer patients at initial diagnosis.

Methods

This retrospective study enrolled 371 lung cancer patients (with SBM n=147, without SBM n=224) confirmed by histopathology. Patients were allocated to the training set (n=258) and testing set (n=113). The optimal radiomics features were selected by using the least absolute shrinkage and selection operator (LASSO) algorithm. The radiomics, clinicoradiologic, and combined models were developed to predict SBM using multivariable logistic regression. Then the discrimination ability of the models was assessed. Furthermore, the prediction performance of the abovement

SUBMITTER: Ding Z 

PROVIDER: S-EPMC12278919 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature