Abstract FZJ-2026-01609

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IMG-88. Prognostic relevance of preoperative FET PET in patients with newly diagnosed glioblastoma

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2025

7th Quadrennial Meeting of the World Federation of Neuro-Oncology Societies, HonoluluHonolulu, USA, 20 Nov 2025 - 23 Nov 20252025-11-202025-11-23 () [10.1093/neuonc/noaf201.1167]

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Abstract: AbstractBACKGROUNDThe present study investigated the prognostic relevance of O-(2-[18F]fluoroethyl)-L-tyrosine (FET) PET parameters in newly diagnosed IDH-wildtype glioblastoma.METHODSFifty patients with newly diagnosed and histomolecularly characterized glioblastoma according to the WHO 2021 classification who had undergone FET PET imaging prior to diagnostic biopsy or surgery and subsequent postoperative radiotherapy with concomitant and adjuvant temozolomide (n=36) or temozolomide plus lomustine (n=14) were retrospectively analyzed. The nnUNet-based JuST_BrainPET tool was used for segmentation of the FET PET tumor volume based on a tumor-to-brain ratio (TBR) of ≥1.6. All segmentations were visually checked. Quantitative PET parameters, i.e., maximum and mean TBR values, and metabolic tumor volumes (MTV), were correlated with overall survival (OS) using Cox regression models. Additional clinical parameters included age (range, 26-82 years), MGMT promoter methylation status (methylated in 58% of patients), RANO resection class (range, 2-4), treatment regimen, and postoperative Karnofsky Performance Status (range, 60-100%) and NANO score (range, 0-7 points),RESULTSIn univariate Cox regression, preoperative MTV (hazard ratio [HR], 1.10; 95% CI, 1.04-1.17; p=0.002) and unmethylated MGMT promoter (HR, 2.82; 95% CI, 1.22-6.70; p=0.016) were the only parameters significantly associated with shorter OS. In multivariate analysis, MTV remained prognostic (p=0.003), as well as MGMT promoter methylation status (p=0.031). Model comparison using Akaike’s Information Criterion favored MTV over MGMT promoter methylation as the better overall prognostic fit.CONCLUSIONThese data support the integration of the FET PET tumor volume as prognostic biomarker in glioblastoma risk stratification. Further studies with larger datasets are needed to substantiate our findings.Topic: positron-emission tomography biopsy glioblastoma immunologic adjuvants pharmaceutical adjuvants foreign medical graduates karnofsky performance status lomustine methylation o(6)-methylguanine-dna methyltransferase preoperative care surgical procedures, operative world health organization brain diagnosis neoplasms patient prognosis surgery specialty tyrosine temozolomide prognostic marker postoperative radiotherapy stratification cox proportional hazards models tumor volume datasets

Classification:

Contributing Institute(s):
  1. Physik der Medizinischen Bildgebung (INM-4)
Research Program(s):
  1. 5253 - Neuroimaging (POF4-525) (POF4-525)

Database coverage:
Medline ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Essential Science Indicators ; IF >= 15 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2026-01-30, last modified 2026-01-30


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