Evidence map›Paper›PMID 31758226›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2020

Integration of PET-imaging into radiotherapy treatment planning for low-grade meningiomas improves outcome.

Kerstin A Kessel, Wolfgang Weber, Igor Yakushev, Hanna Fischer, Theresa Voglhuber, Christian Diehl, Christoph Straube, Claus Zimmer, Benedikt Wiestler, Jens Gempt and 2 more

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Article in European journal of nuclear medicine and molecular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Annals of nuclear medicine · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Radiation oncology (London, England) · 2021
    Article
  9. Review
  10. Article
  11. Review
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

12 authors at 4 institutions in 1 country.

Kerstin A KesselDepartment of Radiation Oncology, Technical University of Munich (TUM), Ismaninger Straße 22, 81675, Munich, Germany. kerstin.kessel@tum.de.ORCID 0000-0002-6544-8151
Wolfgang WeberDepartment of Nuclear Medicine, Technical University of Munich (TUM), Ismaninger Straße, 22, Munich, Germany.
Igor YakushevDepartment of Nuclear Medicine, Technical University of Munich (TUM), Ismaninger Straße, 22, Munich, Germany.
Hanna FischerDepartment of Radiation Oncology, Technical University of Munich (TUM), Ismaninger Straße 22, 81675, Munich, Germany.
Theresa VoglhuberDepartment of Radiation Oncology, Technical University of Munich (TUM), Ismaninger Straße 22, 81675, Munich, Germany.
Christian DiehlDepartment of Radiation Oncology, Technical University of Munich (TUM), Ismaninger Straße 22, 81675, Munich, Germany.
Christoph StraubeDepartment of Radiation Oncology, Technical University of Munich (TUM), Ismaninger Straße 22, 81675, Munich, Germany.
Claus ZimmerDepartment of Neuroradiology, Technical University of Munich (TUM), Ismaninger Straße, 22, Munich, Germany.
Benedikt WiestlerDepartment of Neuroradiology, Technical University of Munich (TUM), Ismaninger Straße, 22, Munich, Germany.
Jens GemptDepartment of Neurosurgery, Technical University of Munich (TUM), Ismaninger Straße, 22, Munich, Germany.
Bernhard MeyerDepartment of Neurosurgery, Technical University of Munich (TUM), Ismaninger Straße, 22, Munich, Germany.
Stephanie E CombsDepartment of Radiation Oncology, Technical University of Munich (TUM), Ismaninger Straße 22, 81675, Munich, Germany.
Technical University of Munich · DEGerman Marine Research Consortium · DEHelmholtz Zentrum München · DETUM Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMeningiomas have an excellent survival prognosis, and radiotherapy (RT) is a central component of interdisciplinary treatment. During treatment planning, the definition of the target volume remains challenging using MR and CT imaging alone. This is the first study to analyze the impact of additional PET-imaging on local control (LC) and overall survival (OS) after high-precision RT.

methodsWe analyzed 339 meningiomas treated between 2000 and 2018. For analyses, we divided the patients in low-grade (n = 276) and high-grade (n = 63) cases. We performed RT in an adjuvant setting due to subtotal resection or later due to recurrent tumor growth. The target volumes were delineated based on diagnostic CT and MRI and, if available, additional PET-imaging (low-grade: n = 164, 59.4%; high-grade: n = 39, 61.9%) with either

resultsMedian follow-up was 5.6 years. For low-grade meningiomas, mean OS was 15.6 years and mean LC was 16.9 years; for high-grade cases mean OS was 11.6 years, and mean LC was 11.1 years. In univariate analyses, PET-imaging had a significant impact on OS (p = 0.035) and LC (p = 0.041) for low-grade meningiomas and remained significant (p = 0.015) for LC in the multivariate analysis. For high-grade cases, PET did not influence both OS and LC. Further prognostic factors could be identified.

conclusionsFor low-grade meningiomas, we showed that the addition of PET-imaging for target volume definition led to a significantly enhanced LC. Thus, PET improves the detection of tumor cells and helps distinguish between healthy tissue and meningioma tissue, especially during the treatment planning process.

Indexed as

Meningeal NeoplasmsMeningiomaRadiosurgeryHumansNeoplasm Recurrence, LocalPositron-Emission TomographyRetrospective StudiesTreatment OutcomeLong-term survivalMeningiomaOncologyPatient-reported outcomePETRadiosurgeryStereotactic fractionated radiotherapy

Identifiers

PMID31758226
OpenAlexW2991232375

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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.