Evidence map›Paper›PMID 27342976›Full record

Trial reportRadiation oncology (London, England)2016

Relapse patterns after radiochemotherapy of glioblastoma with FET PET-guided boost irradiation and simulation to optimize radiation target volume.

Marc D Piroth, Norbert Galldiks, Michael Pinkawa, Richard Holy, Gabriele Stoffels, Johannes Ermert, Felix M Mottaghy, N Jon Shah, Karl-Josef Langen, Michael J Eble

Open access · goldAbstract readClinical Trial, Phase II
In one paragraph

Trial report in Radiation oncology (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% of its field
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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  6. Comparison ofClinical and translational radiation oncology · 2025
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  13. Molecular Biology in Treatment Decision Processes-Neuro-Oncology Edition.International journal of molecular sciences · 2021
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  17. Applications of radiomics and machine learning for radiotherapy of malignant brain tumors.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2020
    Review
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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

10 authors at 5 institutions in 1 country.

Marc D PirothDepartment of Radiation Oncology, University Hospital RWTH Aachen, Aachen, Germany. marc.piroth@helios-kliniken.de.
Norbert GalldiksInstitute of Neuroscience and Medicine, Research Center Jülich, Jülich, Germany.
Michael PinkawaDepartment of Radiation Oncology, University Hospital RWTH Aachen, Aachen, Germany.
Richard HolyDepartment of Radiation Oncology, University Hospital RWTH Aachen, Aachen, Germany.
Gabriele StoffelsInstitute of Neuroscience and Medicine, Research Center Jülich, Jülich, Germany.
Johannes ErmertInstitute of Neuroscience and Medicine, Research Center Jülich, Jülich, Germany.
Felix M MottaghyDepartment of Nuclear Medicine, University Hospital RWTH Aachen, Aachen, Germany.
N Jon ShahDepartment of Neurology, University Hospital RWTH Aachen, Aachen, Germany.
Karl-Josef LangenDepartment of Nuclear Medicine, University Hospital RWTH Aachen, Aachen, Germany.
Michael J EbleDepartment of Radiation Oncology, University Hospital RWTH Aachen, Aachen, Germany.
Forschungszentrum Jülich · DERWTH Aachen University · DEJülich Aachen Research Alliance · DEUniversity of Cologne · DEWitten/Herdecke University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundO-(2-18 F-fluoroethyl)-L-tyrosine-(FET)-PET may be helpful to improve the definition of radiation target volumes in glioblastomas compared with MRI. We analyzed the relapse patterns in FET-PET after a FET- and MRI-based integrated-boost intensity-modulated radiotherapy (IMRT) of glioblastomas to perform an optimized target volume definition.

methodsA relapse pattern analysis was performed in 13 glioblastoma patients treated with radiochemotherapy within a prospective phase-II-study between 2008 and 2009. Radiotherapy was performed as an integrated-boost intensity-modulated radiotherapy (IB-IMRT). The prescribed dose was 72 Gy for the boost target volume, based on baseline FET-PET (FET-1) and 60 Gy for the MRI-based (MRI-1) standard target volume. The single doses were 2.4 and 2.0 Gy, respectively. Location and volume of recurrent tumors in FET-2 and MRI-2 were analyzed related to initial tumor, detected in baseline FET-1. Variable target volumes were created theoretically based on FET-1 to optimally cover recurrent tumor.

resultsThe tumor volume overlap in FET and MRI was poor both at baseline (median 12 %; range 0-32) and at time of recurrence (13 %; 0-100). Recurrent tumor volume in FET-2 was localized to 39 % (12-91) in the initial tumor volume (FET-1). Over the time a shrinking (mean 12 (5-26) ml) and shifting (mean 6 (1-10 mm) of the resection cavity was seen. A simulated target volume based on active tumor in FET-1 with an additional safety margin of 7 mm around the FET-1 volume covered recurrent FET tumor volume (FET-2) significantly better than a corresponding target volume based on contrast enhancement in MRI-1 with a same safety margin of 7 mm (100 % (54-100) versus 85 % (0-100); p < 0.01). A simulated planning target volume (PTV), based on FET-1 and additional 7 mm margin plus 5 mm margin for setup-uncertainties was significantly smaller than the conventional, MR-based PTV applied in this study (median 160 (112-297) ml versus 231 (117-386) ml, p < 0.001).

conclusionsIn this small study recurrent tumor volume in FET-PET (FET-2) overlapped only to one third with the boost target volume, based on FET-1. The shrinking and shifting of the resection cavity may have an influence considering the limited overlap of initial and relapse tumor volume. A simulated target volume, based on FET-1 with 7 mm margin covered 100 % of relapse volume in median and led to a significantly reduced PTV, compared to MRI-based PTVs. This approach may achieve similar therapeutic efficacy but lower side effects offering a broader window to intensify concomitant systemic treatment focusing distant failures.

Indexed as

ChemoradiotherapyAdultAgedFemaleFollow-Up StudiesGlioblastomaHumansMagnetic Resonance ImagingMaleMiddle AgedPositron-Emission TomographyPrognosisProspective StudiesRadiopharmaceuticalsRadiotherapy DosageRadiotherapy, Image-GuidedO-(2-fluoroethyl)tyrosineRadiopharmaceuticalsTyrosineFET-PETGlioblastomaRadiochemotherapyRelapse patternsTarget volume definition

Identifiers

PMID27342976
PMCPMC4920983
OpenAlexW2467662048

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LicenceCC BY
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Registered trials

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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.