Evidence map›Paper›PMID 28840135›Full record

ArticleAsia Oceania journal of nuclear medicine & biology2017

Assessment of Mediastinal Tumors Using SUV

Takahiro Morita, Mitsuaki Tatsumi, Mana Ishibashi, Kayako Isohashi, Hiroki Kato, Osamu Honda, Eku Shimosegawa, Noriyuki Tomiyama, Jun Hatazawa

Open access · greenAbstract read
In one paragraph

Article in Asia Oceania journal of nuclear medicine & biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. The Value of Baseline [Diagnostics (Basel, Switzerland) · 2025
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  5. Article
  6. Article
  7. Article
  8. Multiple metabolic parameters and visual assessment ofAbdominal radiology (New York) · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Usefulness of PreoperativeYonago acta medica · 2019
    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 2 institutions in 1 country.

Takahiro MoritaDepartment of Nuclear Medicine and Tracer Kinetics, Graduate School of Medicine, Osaka University, Suita, Japan.
Mitsuaki TatsumiDepartment of Radiology, Osaka University Hospital, Suita, Japan.
Mana IshibashiDepartment of Nuclear Medicine and Tracer Kinetics, Graduate School of Medicine, Osaka University, Suita, Japan.
Kayako IsohashiDepartment of Nuclear Medicine and Tracer Kinetics, Graduate School of Medicine, Osaka University, Suita, Japan.
Hiroki KatoDepartment of Nuclear Medicine and Tracer Kinetics, Graduate School of Medicine, Osaka University, Suita, Japan.
Osamu HondaDepartment of Radiology, Graduate School of Medicine, Osaka University, Suita, Japan.
Eku ShimosegawaDepartment of Molecular Imaging in Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
Noriyuki TomiyamaDepartment of Radiology, Graduate School of Medicine, Osaka University, Suita, Japan.
Jun HatazawaDepartment of Nuclear Medicine and Tracer Kinetics, Graduate School of Medicine, Osaka University, Suita, Japan.
Osaka University · JPOsaka University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to evaluate the role of pretreatment SUV

methodsThis study was conducted on 52 patients with mediastinal tumors undergoing FDG-PET/CT. Histological examination indicated that 29 mediastinal tumors were benign, and 23 cases were malignant. To obtain quantitative PET/CT parameters, we determined the maximum standardized uptake value (SUV

resultsMean SUV

conclusionAlthough SUV

Indexed as

FDG-PET/CTMediastinal tumorMetabolic tumor volumeTotal lesion glycolysis

Identifiers

PMID28840135
PMCPMC5221681
OpenAlexW2564014582

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.