Evidence map›Paper›PMID 33043157›Full record

ArticlePhysics and imaging in radiation oncology2020

Comparison of patient stratification by computed tomography radiomics and hypoxia positron emission tomography in head-and-neck cancer radiotherapy.

Jairo A Socarrás Fernández, David Mönnich, Sara Leibfarth, Stefan Welz, Alex Zwanenburg, Stefan Leger, Steffen Löck, Christina Pfannenberg, Christian La Fougère, Gerald Reischl and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Physics and imaging in radiation oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Multiplexed imaging of radionuclides.Nature biomedical engineering · 2025
    Review
  2. Article
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

13 authors at 5 institutions in 1 country.

Jairo A Socarrás FernándezSection for Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Germany.
David MönnichSection for Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Germany.
Sara LeibfarthSection for Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Germany.
Stefan WelzDepartment of Radiation Oncology, University of Tübingen, Germany.
Alex ZwanenburgOncoRay National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany.
Stefan LegerOncoRay National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany.
Steffen LöckOncoRay National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany.
Christina PfannenbergDepartment of Diagnostic and Interventional Radiology, University of Tübingen, Germany.
Christian La FougèreDepartment of Nuclear Medicine, University of Tübingen, Germany.
Gerald ReischlDepartment of Preclinical Imaging and Radiopharmacy, University of Tübingen, Germany.
Michael BaumannOncoRay National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany.
Daniel ZipsDepartment of Radiation Oncology, University of Tübingen, Germany.
Daniela ThorwarthSection for Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Germany.
University of Tübingen · DEHeidelberg University · DEHelmholtz-Zentrum Dresden-Rossendorf · DEOncoRay · DETechnische Universität Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeHypoxia Positron-Emission-Tomography (PET) as well as Computed Tomography (CT) radiomics have been shown to be prognostic for radiotherapy outcome. Here, we investigate the stratification potential of CT-radiomics in head and neck cancer (HNC) patients and test if CT-radiomics is a surrogate predictor for hypoxia as identified by PET. MATERIALS AND

methodsTwo independent cohorts of HNC patients were used for model development and validation, HN1 (n = 149) and HN2 (n = 47). The training set HN1 consisted of native planning CT data whereas for the validation cohort HN2 also hypoxia PET/CT data was acquired using [

resultsThe best performing CT-radiomics signature included two features with nearest-neighbour classification (AUC = 0.76 ± 0.09), whereas AUC was 0.59 for external validation. In contrast, [

conclusionsNo direct correlation of patient stratification using [

Indexed as

CT-ImagingImaging biomarkersMachine LearningPET-ImagingQuantitative ImagingRadiomics

Identifiers

PMID33043157
PMCPMC7536307
OpenAlexW3047142130

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.