Predicting Remaining Survival of Glioblastoma Patients with Radiomics Analysis Based on ¹⁸F-DOPA PET Images.

ABSTRACT:

Background

Post-treatment prognosis and monitoring are critical for determining the timing of salvage treatment in glioblastoma patients but has been challenging due to difficulties differentiating progression from treatment effects in conventional images. This exploratory study aimed to establish the correlation of radiomics image features from time series of amino acid tracer ¹⁸F-DOPA PET images, with outcomes, using machine learning and dimension reduction analysis.

Methods

¹⁸F-DOPA PET images were collected for a patient cohort with wild-type IDH and unmethylated MGMT who underwent dose-escalated radiation therapy. Quantitative features were derived from the high uptake region (T/N > 2.0) in pre- and post-radiation therapy follow-up ¹⁸F-D

SUBMITTER: Qian J 

PROVIDER: S-EPMC12607425 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature