This study evaluates the relevance of 18F-DOPA PET static and dynamic radiomics for
differentiation of high-grade glioma (HGG) progression from treatment-related changes …

Purpose To investigate the potential of radiomics applied to static clinical PET data using the
tracer O-(2-[18F] fluoroethyl)-l-tyrosine (FET) to differentiate treatment-related changes …

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 …

Objectives Diagnostic accuracy of amino-acid PET for distinguishing progression from
treatment-related changes (TRC) is currently based on single-center non-homogeneous …

Simple Summary Following chemoradiation with alkylating agents in glioma patients,
structural magnetic resonance imaging (MRI) may suggest tumor progression which …

Abstract Background Static [18 F]-F-DOPA PET images are currently used for identifying
patients with glioma recurrence/progression after treatment, although the additional …

Background Quantitative image analysis based on radiomic feature extraction is an
emerging field for survival prediction in oncological patients. 18F-Fluorethyltyrosine positron …

Posttreatment high-grade gliomas are usually monitored with contrast-enhanced MRI, but its
diagnostic accuracy is limited as it cannot adequately distinguish between true tumor …

Background MRI-based differential diagnosis of glioma recurrence (GR) and treatment-
induced changes (TICs) remain elusive in up to 30% of treated glioma patients. We aimed to …

Purpose To evaluate diagnostic accuracy of fully automated analysis of multimodal imaging
data using [18F]-FET-PET and MRI (including amide proton transfer-weighted (APTw) …