Evidence map›Paper›PMID 41228217›Full record

ArticleCancers2025

High-Dose Stereotactic Re-Irradiation of Recurrent High-Grade Gliomas: Clinical Outcome and Experience with AI-Based Target Volume Simulation.

Anton Früh, Franziska Loebel, Bohdan Bodnar, Larissa Kilian, Martin Misch, Goda Kalinauskaite, Anne Kluge, Chiara Eitner, Julia Onken, Kerstin Rubarth and 4 more

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anton FrühDepartment of Neurosurgery, Charité Universitaetsmedizin Berlin, 10117 Berlin, Germany.
Franziska LoebelDepartment of Neurosurgery, Charité Universitaetsmedizin Berlin, 10117 Berlin, Germany.
Bohdan BodnarCharité CyberKnife Center, Charité Universitaetsmedizin Berlin, 10117 Berlin, Germany.
Larissa KilianCharité CyberKnife Center, Charité Universitaetsmedizin Berlin, 10117 Berlin, Germany.
Martin MischDepartment of Neurosurgery, Charité Universitaetsmedizin Berlin, 10117 Berlin, Germany.
Goda KalinauskaiteDepartment of Radiation Oncology, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany.
Anne KlugeCharité CyberKnife Center, Charité Universitaetsmedizin Berlin, 10117 Berlin, Germany.
Chiara EitnerCharité CyberKnife Center, Charité Universitaetsmedizin Berlin, 10117 Berlin, Germany.
Julia OnkenDepartment of Neurosurgery, Charité Universitaetsmedizin Berlin, 10117 Berlin, Germany.
Kerstin RubarthInstitute of Biometry and Clinical Epidemiology, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany.ORCID 0000-0002-6174-6346
Daniel ZipsDepartment of Radiation Oncology, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany.
Peter VajkoczyDepartment of Neurosurgery, Charité Universitaetsmedizin Berlin, 10117 Berlin, Germany.
Carolin SengerCharité CyberKnife Center, Charité Universitaetsmedizin Berlin, 10117 Berlin, Germany.ORCID 0000-0001-7700-4657
Güliz AckerDepartment of Neurosurgery, Charité Universitaetsmedizin Berlin, 10117 Berlin, Germany.ORCID 0000-0002-8946-6426

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesDespite multimodal therapeutic concepts, treatment of recurrent malignant gliomas remains challenging. Stereotactic radiosurgery (SRS) may be a possible safe and effective non-invasive salvage treatment. In this study, we aim to investigate the SRS treatment outcomes using partly 18F-Fluorethylthyrosine (FET)-PET-imaging sequences for SRS treatment planning focusing on overall survival, event-free survival, and the incidence and factors influencing radiation necrosis (RN) occurrence. Additionally, we evaluated the potential application of AI-based tumor segmentation.

methodsWe conducted a retrospective analysis of patients with recurrent malignant glioma treated with single-fraction or hypofractionated SRS at our institution. The outcomes assessed included local control, overall survival (OS), and local event-free survival (LEFS, defined as the interval until tumor recurrence or the onset of RN). We also performed a simulation analysis to assess the potential of AI-based tumor segmentation.

resultsThe study included 27 patients with a median age of 57 years and 41 lesions. The median OS post-SRS was 9.6 months and an LEFS of 5.2 months. Factors positively influencing OS and LEFS included the gross tumor volume (GTV) of the lesions before SRS therapy, presence of an IDH mutation, and lomustine treatment post-SRS. The incidence of RN post-SRS was 31.7%. RN was confirmed histopathologically in 15.4%, based on MRI in 46.2% and by FET-PET in 38.5% of lesions. In a simulation analysis, AI-based tumor segmentation reliably delineated all lesions, requiring only minimal manual adjustments to define target volumes.

conclusionsHigh-dose SRS is a feasible salvage treatment for small-volume recurrent high-grade gliomas, achieving local control and survival outcomes comparable to other re-irradiation strategies. IDH mutation, smaller tumor volume, and lomustine therapy were associated with improved survival. RN occurred frequently, particularly in periventricular lesions. AI-based tumor segmentation showed promise in well-defined satellite recurrences, but remains limited in cavity-adjacent lesions, underlining the need for expert review and

Indexed as

18-FET-PETAI-based tumor segmentationglioblastomahigh-grade gliomaradionecrosisradiosurgery

Identifiers

PMID41228217
PMCPMC12606762

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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.