Evidence map›Paper›PMID 38160415›Full record

ArticleJournal of neuro-oncology2024

Comparative evaluation of

Takashi Norikane, Katsuya Mitamura, Yuka Yamamoto, Yuri Manabe, Mitsumasa Murao, Hanae Arai-Okuda, Tetsuhiro Hatakeyama, Keisuke Miyake, Yoshihiro Nishiyama

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neuro-oncology, 2024. 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
0.9field-weighted citation impact, top 21% 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, 3 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 1 institution in 1 country.

Takashi NorikaneDepartment of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan.
Katsuya MitamuraDepartment of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan.
Yuka YamamotoDepartment of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan. yamamoto.yuka@kagawa-u.ac.jp.ORCID http://orcid.org/0000-0002-3912-4217
Yuri ManabeDepartment of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan.
Mitsumasa MuraoDepartment of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan.
Hanae Arai-OkudaDepartment of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan.
Tetsuhiro HatakeyamaDepartment of Neurological Surgery, Faculty of Medicine, Kagawa University, Miki-cho, Kagawa, Japan.
Keisuke MiyakeDepartment of Neurological Surgery, Faculty of Medicine, Kagawa University, Miki-cho, Kagawa, Japan.
Yoshihiro NishiyamaDepartment of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan.
Kagawa University · JP

Funding

a Grant-in-Aid for Scientific Research (KAKENHI) from the Japan Society for the Promotion of Science 23K07085
6 · The paper itself

Abstract

purposeDistinguishing between primary central nervous system lymphoma (PCNSL) and isocitrate dehydrogenase (IDH)-wildtype glioblastoma is important for therapeutic decision-making. This study aimed to compare the performance of

methodsWe retrospectively conducted qualitative and semiquantitative analyses of pre-treatment MET and FDG PET/computed tomography (CT) images of 22 patients with PCNSL and 64 patients with IDH-wildtype glioblastoma. For semiquantitative analysis, we calculated the tumor-to-normal tissue (T/N) ratio by dividing the maximum standardized uptake value (SUV) for the tumor (T) by the average SUV for the normal tissue (N). For performance evaluation, we employed receiver operating characteristic curve analysis and calculated the areas under the curve (AUC) values.

resultsIn the qualitative analysis, all PCNSLs and IDH-wildtype glioblastomas were MET-positive, while 95% and 84% of PCNSLs and IDH-wildtype glioblastomas, respectively, were FDG-positive. Eleven patients were excluded from the FDG PET/CT semiquantitative analysis because of hyperglycemia. There was no difference in MET T/N ratio between PCNSL and IDH-wildtype glioblastoma (p = 0.37). FDG T/N ratio was significantly higher in PCNSL than in IDH-wildtype glioblastoma (p < 0.001). The AUC value for distinguishing PCNSL from IDH-wildtype glioblastoma was significantly higher for the FDG T/N ratio (0.871) than for the MET T/N ratio (0.565) (p = 0.0027).

conclusionMET PET could detect both PCNSL and IDH-wildtype glioblastoma, but unlike FDG PET, it could not distinguish between these two major malignant brain tumors.

Indexed as

Brain NeoplasmsGlioblastomaLymphomaCentral Nervous SystemFluorodeoxyglucose F18HumansIsocitrate DehydrogenaseMethioninePositron-Emission TomographyPositron Emission Tomography Computed TomographyRacemethionineRadiopharmaceuticalsRetrospective StudiesFluorodeoxyglucose F18Isocitrate DehydrogenaseMethionineRacemethionineRadiopharmaceuticals11C-methionine18F-fluorodeoxyglucoseGlioblastomaLymphomaPositron emission tomography

Identifiers

PMID38160415
OpenAlexW4390465501

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.