Factors associated with the local control of brain metastases: a systematic search and machine learning application.

ABSTRACT:

Background

Enhancing Local Control (LC) of brain metastases is pivotal for improving overall survival, which makes the prediction of local treatment failure a crucial aspect of treatment planning. Understanding the factors that influence LC of brain metastases is imperative for optimizing treatment strategies and subsequently extending overall survival. Machine learning algorithms may help to identify factors that predict outcomes.

Methods

This paper systematically reviews these factors associated with LC to select candidate predictor features for a practical application of predictive modeling. A systematic literature search was conducted to identify studies in which the LC of brain metastases is assessed for adult patients. EMBASE, PubMed, Web-of-Science, and the Cochrane D

SUBMITTER: Kanakarajan H 

PROVIDER: S-EPMC11191176 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature