Gliomas are the most common type of tumor in the brain. Although the definite diagnosis is
routinely made ex vivo by histopathologic and molecular examination, diagnostic work-up of …

The assessment of gliomas by 18F-FDOPA PET imaging as an adjunct to MRI showed high
performance by combining static and dynamic features to noninvasively predict the isocitrate …

Background/Aim: Nowadays, Machine Learning (ML) algorithms have demonstrated
remarkable progress in image-recognition tasks and could be useful for the new concept of …

Radiomics allows the extraction of quantitative features from medical images such as CT,
MRI, or PET, thereby providing additional, potentially relevant diagnostic information for …

Background Recurrence in glioblastoma patients often occur close to the original tumour
and indicates that the current treatment is inadequate for local tumour control. In this study …

Purpose Methylation of the O 6-methylguanine methyltransferase (MGMT) gene promoter is
associated with improved treatment response and survival in patients with glioblastoma …

Background PET with radiolabeled amino acids is used in the preoperative evaluation of
patients with glial neoplasms. This study aimed to assess the role of [11C] methionine (MET) …

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 …

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