Evidence map›Paper›PMID 31102001›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2019

Re-evaluation of the diagnostic performance of

Dongwoo Kim, Joong-Hyun Chun, Se Hoon Kim, Ju Hyung Moon, Seok-Gu Kang, Jong Hee Chang, Mijin Yun

Open access · greenAbstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. EANM practice guidelines for an appropriate use of PET and SPECT for patients with epilepsy.European journal of nuclear medicine and molecular imaging · 2024
    Guideline
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  6. Recent Update on PET/CT Radiotracers for Imaging Cerebral Glioma.Nuclear medicine and molecular imaging · 2024
    Review
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  9. Metabolic kinetic modeling of [European journal of nuclear medicine and molecular imaging · 2023
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  14. 60 Years of Achievements by KSNM in Neuroimaging Research.Nuclear medicine and molecular imaging · 2022
    Review
  15. Fractal analysis ofEJNMMI physics · 2021
    Article
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  19. Diagnostic value of PET/CT withEJNMMI research · 2020
    Article
  20. A Nomogram ModelingFrontiers in oncology · 2020
    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

7 authors at 2 institutions in 1 country.

Dongwoo KimDepartment of Nuclear Medicine, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 120-752, South Korea.
Joong-Hyun ChunDepartment of Nuclear Medicine, Yonsei University College of Medicine, Seoul, South Korea.
Se Hoon KimDepartment of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Ju Hyung MoonDepartment of Neurosurgery, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Seok-Gu KangDepartment of Neurosurgery, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Jong Hee ChangDepartment of Neurosurgery, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Mijin YunDepartment of Nuclear Medicine, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 120-752, South Korea. yunmijin@yuhs.ac.
Yonsei University · KRSeverance Hospital · KR

Funding

National Research Foundation of Korea NRF-2012R1A1A3008042National Research Foundation of Korea NRF-2016R1E1A1A01943303National Research Foundation of Korea NRF-2018M3C7A1056898
6 · The paper itself

Abstract

purposeWe evaluated the usefulness of

methodsIn total, 144 patients underwent MET PET/CT before surgery. The ratios of the maximum standardized uptake value (SUV) of the gliomas to the mean SUV of the contralateral cortex on MET PET/CT (MET TNR) were calculated.

resultsThe median MET TNRs in IDH1-mutant and IDH1-wildtype tumours were 1.95 and 3.35, respectively. From among 74 IDH1-mutant tumours, the oligodendrogliomas showed a higher median MET TNR than the astrocytic tumours (2.90 vs. 1.40, P < 0.001). In grade II, III and IV IDH1-mutant astrocytic tumours, the median MET TNRs were 1.20, 2.05 and 2.20, respectively (grade II vs. grade III, P < 0.0001; grade II vs. grade IV, P = 0.023). In oligodendrogliomas, the MET TNR was lower fin grade II tumours than in grade III tumours (2.30 vs. 3.30 P = 0.008). In differentiating low-grade (grade II) from high-grade (grade III and IV) gliomas, receiver operating characteristic analysis showed a higher area under the curve for wildtype tumours (0.976) than for all tumours (0.852; P < 0.001) and IDH1-mutant tumours (0.817; P = 0.004).

conclusionIDH1-mutant tumours showed lower MET uptake than IDH1-wildtype tumours. Regardless of IDH1 mutation status, oligodendrogliomas with 1p/19q codeletion showed MET uptake as high as that in high-grade IDH1-wildtype tumours. Therefore, MET uptake for glioma grading was more consistent for IDH1-wildtype tumours than for IDH1-mutant tumours.

Indexed as

AdultAgedBrain NeoplasmsCarbon RadioisotopesFemaleGliomaHumansIsocitrate DehydrogenaseMaleMethionineMiddle AgedMutationPositron Emission Tomography Computed TomographyRadiopharmaceuticalsCarbon RadioisotopesIDH1 protein, humanIsocitrate DehydrogenaseMethionineRadiopharmaceuticals11C-Methionine PET/CTGliomaGradingIDH1 mutation

Identifiers

PMID31102001
OpenAlexW2946337471

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.