Radiomics models using machine learning algorithms to differentiate the primary focus of brain metastasis.

ABSTRACT:

Background

Brain metastases are common brain tumors in adults. Brain metastases from different primary tumors have special magnetic resonance imaging (MRI) features. As a new technology that can extract and quantify medical image data, and with the rapid development of artificial intelligence, the machine learning model based on radiology has been successfully applied to the diagnosis and differentiation of tumors. This study aimed to develop radiomics models from post-contrast T1-weighted images using machine learning algorithms to differentiate lung cancer from breast cancer brain metastases.

Methods

A retrospective analysis was conducted on 118 lung cancer brain metastases patients and 62 breast cancer brain metastases patients confirmed by surgery pathology or combined c

SUBMITTER: Xie Y 

PROVIDER: S-EPMC11912090 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature