Purpose: Especially in Europe, amino acid PET is increasingly integrated into multidisciplinary neuro-oncological tumor boards (MNTBs) to overcome diagnostic uncertainties such as treatment-related changes. We evaluated the accuracy of MNTB decisions that included the O-(2-[18F]-fluoroethyl)-L-tyrosine (FET) PET information compared with FET PET results alone to differentiate tumor relapse from treatment-related changes.
Patients And Methods: In a single academic center, we retrospectively evaluated 180 MNTB decisions of 151 patients with CNS WHO grade 3 or 4 gliomas (n = 122) or brain metastases (n = 29) presenting equivocal MRI findings following anticancer treatment.
Background: Pediatric meningiomas (PMs) are rare central nervous system tumors, accounting for 1-5% of all meningiomas, and differ from adult meningiomas in clinical, histopathological, and molecular features. Current guidelines primarily focus on adults, leaving a gap in evidence-based management for PMs. This study presents the largest meta-analysis of longitudinal individual patient data (IPD) to date, addressing progression-free survival (PFS) and overall survival (OS) in pediatric patients.
View Article and Find Full Text PDFThe Brain Tumor Group (BTG) of the European Organization for Research and Treatment of Cancer (EORTC) conducts academic clinical trials and translational research to improve clinical management of patients with primary and secondary brain tumors. The EORTC BTG has traditionally played an important role in providing evidence and thus advancing the field, albeit with a main focus on radiotherapy and pharmacotherapy in gliomas. Although examples of well-designed neuro-oncological surgical trials can be found, evidence in surgical neuro-oncology predominantly includes data from uncontrolled prospective series or retrospective cohorts.
View Article and Find Full Text PDFBackground: Stimulated Raman histology (SRH) is a label-free optical imaging method for rapid intraoperative analysis of fresh tissue samples. Analysis of SRH images using Convolutional Neural Networks (CNN) has shown promising results for predicting the main histopathological classes of neurooncological tumors. Due to the relatively low number of rare tumor representations in CNN training datasets, a valid prediction of rarer entities remains limited.
View Article and Find Full Text PDFBackground/aim: Micro RNAs (miRs; miRNAs) are small, non-coding RNA segments that influence gene expression. To do this, they bind to corresponding mRNA segments and inhibit the subsequent protein translation. Currently, about 200 transcripts are thought to be regulated by a single miRNA.
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