Evidence map›Paper›PMID 30818360›Full record

ArticlePloS one2019

Voxel based comparison and texture analysis of 18F-FDG and 18F-FMISO PET of patients with head-and-neck cancer.

Markus Kroenke, Kenji Hirata, Andrei Gafita, Shiro Watanabe, Shozo Okamoto, Keiichi Magota, Tohru Shiga, Yuji Kuge, Nagara Tamaki

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

20 citing papers in PubMed, 29 citations in OpenAlex.

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  10. Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
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  12. [Progress in the clinical application and correlation between glucose transporter-1 andSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
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  13. Review
  14. Preoperative Texture Analysis UsingDiagnostics (Basel, Switzerland) · 2021
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  15. Article
  16. Recent advances of PET imaging in clinical radiation oncology.Radiation oncology (London, England) · 2020
    Review
  17. Article
  18. Article
  19. The Roles of Hypoxia Imaging UsingJournal of clinical medicine · 2019
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  20. [Nuclear medicine and biology
    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

9 authors at 3 institutions in 2 countries.

Markus KroenkeDepartment of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany.ORCID 0000-0001-7872-8980
Kenji HirataDepartment of Nuclear Medicine, Graduate School of Medicine of Hokkaido University, Sapporo, Japan.
Andrei GafitaDepartment of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany.
Shiro WatanabeDepartment of Nuclear Medicine, Graduate School of Medicine of Hokkaido University, Sapporo, Japan.
Shozo OkamotoDepartment of Nuclear Medicine, Graduate School of Medicine of Hokkaido University, Sapporo, Japan.
Keiichi MagotaDepartment of Nuclear Medicine, Graduate School of Medicine of Hokkaido University, Sapporo, Japan.
Tohru ShigaDepartment of Nuclear Medicine, Graduate School of Medicine of Hokkaido University, Sapporo, Japan.
Yuji KugeCentral Institute of Isotope Science, of Hokkaido University, Sapporo, Japan.
Nagara TamakiDepartment of Nuclear Medicine, Graduate School of Medicine of Hokkaido University, Sapporo, Japan.
Hokkaido University · JPHokkaido University of Science · JPTUM Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypoxia can induce radiation resistance and is an independent prognostic marker for outcome in head and neck cancer. As 18F-FMISO (FMISO), a hypoxia tracer for PET, is far less common than 18F-FDG (FDG) and two separate PET scans result in doubled cost and radiation exposure to the patient, we aimed to predict hypoxia from FDG PET with new techniques of voxel based analysis and texture analysis.

methodsThirty-eight patients with head-and-neck cancer underwent consecutive FDG and FMISO PET scans before any treatment. ROIs enclosing the primary cancer were compared in a voxel-by-voxel manner between FDG and FMISO PET. Tumour hypoxia was defined as the volume with a tumour-to-muscle ratio (TMR) > 1.25 in the FMISO PET and hypermetabolic volume was defined as >50% SUVmax in the FDG PET. The concordance rate was defined as percentage of voxels within the tumour which were both hypermetabolic and hypoxic. 38 different texture analysis (TA) parameters were computed based on the ROIs and correlated with presence of hypoxia.

resultsWithin the hypoxic tumour regions, the FDG uptake was twice as high as in the non-hypoxic tumour regions (SUVmean 10.9 vs. 5.4; p<0.001). A moderate correlation between FDG and FMISO uptake was found by a voxel-by-voxel comparison (r = 0.664 p<0.001). The average concordance rate was 25% (± 22%). Entropy was the TA parameter showing the highest correlation with hypoxia (r = 0.524 p<0.001).

conclusionFDG uptake was higher in hypoxic tumour regions than in non-hypoxic regions as expected by tumour biology. A moderate correlation between FDG and FMISO PET was found by voxel-based analysis. TA yielded similar results in FDG and FMISO PET. However, it may not be possible to predict tumour hypoxia even with the help of texture analysis.

Indexed as

AdultAgedAged, 80 and overFemaleFluorine RadioisotopesFluorodeoxyglucose F18Head and Neck NeoplasmsHumansMaleMiddle AgedMisonidazolePositron-Emission TomographyPredictive Value of TestsPrognosisRadiation ToleranceRadiopharmaceuticalsFluorine RadioisotopesFluorodeoxyglucose F18fluoromisonidazoleMisonidazoleRadiopharmaceuticals

Identifiers

PMID30818360
PMCPMC6394953
OpenAlexW2919434073

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.