Evidence map›Paper›PMID 22307533›Full record

Trial reportEuropean journal of nuclear medicine and molecular imaging2012

¹⁸F-Fluoromisonidazole positron emission tomography may differentiate glioblastoma multiforme from less malignant gliomas.

Kenji Hirata, Shunsuke Terasaka, Tohru Shiga, Naoya Hattori, Keiichi Magota, Hiroyuki Kobayashi, Shigeru Yamaguchi, Kiyohiro Houkin, Shinya Tanaka, Yuji Kuge and 1 more

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in European journal of nuclear medicine and molecular imaging, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

56 citing papers in PubMed, 108 citations in OpenAlex.

  1. Trial
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  13. Review
  14. Correlation of Tumor Hypoxia Metrics Derived fromTomography (Ann Arbor, Mich.) · 2020
    Article
  15. Article
  16. Prediction of Hypoxia in Brain Tumors Using a Multivariate Model Built from MR Imaging andMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2020
    Article
  17. Influence of the scan time point when assessing hypoxia inEuropean journal of nuclear medicine and molecular imaging · 2020
    Article
  18. Correlation of hypoxia as measured by fluorine-18 fluoroerythronitroimidazole (European journal of nuclear medicine and molecular imaging · 2020
    Article
  19. Review
  20. 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

11 authors at 3 institutions in 1 country.

Kenji HirataDepartment of Nuclear Medicine, Graduate School of Medicine, Hokkaido University, Kita 15, Nishi 7, Kita-Ku, Sapporo, Hokkaido 060-8638, Japan. khirata@med.hokudai.ac.jp
Shunsuke Terasaka
Tohru Shiga
Naoya Hattori
Keiichi Magota
Hiroyuki Kobayashi
Shigeru Yamaguchi
Kiyohiro Houkin
Shinya Tanaka
Yuji Kuge
Nagara Tamaki
Hokkaido University · JPHokkaido University Hospital · JPHokkaido University of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGlioblastoma multiforme (GBM) is the most aggressive primary brain tumor and its prognosis is significantly poorer than those of less malignant gliomas. Pathologically, necrosis is one of the most important characteristics that differentiate GBM from lower grade gliomas; therefore, we hypothesized that (18)F fluoromisonidazole (FMISO), a radiotracer for hypoxia imaging, accumulates in GBM but not in lower grade gliomas. We aimed to evaluate the diagnostic value of FMISO positron emission tomography (PET) for the differential diagnosis of GBM from lower grade gliomas.

methodsThis prospective study included 23 patients with pathologically confirmed gliomas. All of the patients underwent FMISO PET and (18)F-fluorodeoxyglucose (FDG) PET within a week. FMISO images were acquired 4 h after intravenous administration of 400 MBq of FMISO. Tracer uptake in the tumor was visually assessed. Lesion to normal tissue ratios and FMISO uptake volume were calculated.

resultsOf the 23 glioma patients, 14 were diagnosed as having GBM (grade IV glioma in the 2007 WHO classification), and the others were diagnosed as having non-GBM (5 grade III and 4 grade II). In visual assessment, all GBM patients showed FMISO uptake in the tumor greater than that in the surrounding brain tissues, whereas all the non-GBM patients showed FMISO uptake in the tumor equal to that in the surrounding brain tissues (p ≤ 0.001). One GBM patient was excluded from FDG PET study because of hyperglycemia. All GBM patients and three of the nine (33%) non-GBM patients showed FDG uptake greater than or equal to that in the gray matter. The sensitivity and specificity for diagnosing GBM were 100 and 100% for FMISO, and 100 and 66% for FDG, respectively. The lesion to cerebellum ratio of FMISO uptake was higher in GBM patients (2.74 ± 0.60, range 1.71-3.81) than in non-GBM patients (1.22 ± 0.06, range 1.09-1.29, p ≤ 0.001) with no overlap between the groups. The lesion to gray matter ratio of FDG was also higher in GBM patients (1.46 ± 0.75, range 0.91-3.79) than in non-GBM patients (1.07 ± 0.62, range 0.66-2.95, p ≤ 0.05); however, overlap of the ranges did not allow clear differentiation between GBM and non-GBM. The uptake volume of FMISO was larger in GBM (27.18 ± 10.46%, range 14.02-46.67%) than in non-GBM (6.07 ± 2.50%, range 2.12-9.22%, p ≤ 0.001).

conclusionThese preliminary data suggest that FMISO PET may distinguish GBM from lower grade gliomas.

Indexed as

Positron-Emission TomographyAdultAgedAnaplasiaBiological TransportBrain NeoplasmsDiagnosis, DifferentialFemaleGlioblastomaGliomaHumansMaleMiddle AgedMisonidazoleNeoplasm GradingfluoromisonidazoleMisonidazole

Identifiers

PMID22307533
OpenAlexW2015602031

What OpenQuestion holds

Textmetadata
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.