Application of PET imaging delta radiomics for predicting progression-free survival in rare high-grade glioma.

ABSTRACT: This study assesses the feasibility of using a sample-efficient model to investigate radiomics changes over time for predicting progression-free survival in rare diseases. Eighteen high-grade glioma patients underwent two L-3,4-dihydroxy-6-[¹⁸F]-fluoro-phenylalanine positron emission tomography (PET) dynamic scans: the first during treatment and the second at temozolomide chemotherapy discontinuation. Radiomics features from static/dynamic parametric images, alongside conventional features, were extracted. After excluding highly correlated features, 16 different models were trained by combining various feature selection methods and time-to-event survival algorithms. Performance was assessed using cross-validation. To evaluate model robustness, an additional dataset including 35

SUBMITTER: Ahrari S 

PROVIDER: S-EPMC10853227 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature