Evidence map›Paper›PMID 39561103›Full record

ArticleNeuro-oncology2025

Measurable disease as baseline criterion for response assessment in glioblastoma: A comparison of PET -based (PET RANO 1.0) and MRI-based (RANO) assessments.

Katharina J Müller, Robert Forbrig, Jonas Reis, Lilian Wiegand, Enio Barci, Sophie C Kunte, Lena Kaiser, Stephan Schönecker, Christian Schichor, Patrick N Harter and 4 more

Abstract readComparative Study
In one paragraph

Article in Neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Katharina J MüllerDepartment of Neurology, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0001-7098-4744
Robert ForbrigInstitute of Neuroradiology, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-1054-1463
Jonas ReisInstitute of Neuroradiology, LMU University Hospital, LMU Munich, Munich, Germany.
Lilian WiegandDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Enio BarciDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Sophie C KunteDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Lena KaiserDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Stephan SchöneckerDepartment of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0003-0359-8960
Christian SchichorDepartment of Neurosurgery, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0001-6684-3578
Patrick N HarterBayerisches Zentrum für Krebsforschung (BZKF), Partner Site Munich, Munich, Germany.
Niklas ThonBayerisches Zentrum für Krebsforschung (BZKF), Partner Site Munich, Munich, Germany.
Louisa von BaumgartenDepartment of Neurology, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-6634-0927
Matthias PreusserDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-3541-2315
Nathalie L AlbertDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0003-0953-7624

Funding

Thomas Kirch Stiftung
6 · The paper itself

Abstract

backgroundRecently, criteria based on amino acid positron emission tomography (PET) have been proposed for response assessment in diffuse gliomas (PET RANO 1.0). In this study, we compare the prevalence of measurable disease according to PET RANO 1.0 with magnetic resonance imaging (MRI)-based Response Assessment in Neuro-Oncology (RANO) criteria in glioblastoma.

methodsWe retrospectively identified patients with newly diagnosed IDH-wild-type glioblastoma who underwent [18F] Fluoroethyltyrosine (FET) PET and MRI after resection or biopsy and before radio-/radiochemotherapy. Two independent investigators analyzed measurable disease according to PET RANO 1.0 or MRI-RANO criteria. Additionally, lesion size, congruency patterns, and uptake intensity on [18F]FET PET images were assessed.

resultsWe evaluated 125 patients including 49 cases after primary resection and 76 cases after biopsy. Using PET criteria, 113 out of 125 patients (90.4%) had measurable disease, with a median PET-positive volume of 15.34 cm3 (8.83-38.03). With MRI, a significantly lower proportion of patients had measurable disease (57/125, 45.6%; P < .001) with a median sum of maximum cross-sectional diameters of 35.65 mm (26.18-45.98). None of the 12 patients without measurable disease on PET had measurable disease on MRI. Contrariwise, 56/68 patients (82.4%) without measurable disease on MRI exhibited measurable disease on PET. Clinical performance status correlated significantly with PET-positive volume and MRI-based sum of diameters (P < .0059, P < .0087, respectively).

conclusions[18F]FET PET identifies a higher number of patients with measurable disease compared to conventional MRI in newly diagnosed glioblastoma. PET-based assessment may serve as a novel baseline parameter for evaluating residual tumor burden and improving patient stratification in glioblastoma studies. Further validation in prospective trials is warranted.

Indexed as

Brain NeoplasmsGlioblastomaMagnetic Resonance ImagingPositron-Emission TomographyAdultAgedAged, 80 and overFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRadiopharmaceuticalsRetrospective StudiesTyrosine(18F)fluoroethyltyrosineRadiopharmaceuticalsTyrosineglioblastomaMRI RANOPET RANO 1.0residual tumor burdenresponse assessment

Identifiers

PMID39561103
PMCPMC11726251

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.