Evidence map›Paper›PMID 32189027›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2020

Dynamic whole-body

Motoki Nishimura, Nagara Tamaki, Shigenori Matsushima, Maki Kiba, Tomoya Kotani, Chisa Bamba, Yasunori Nakamura, Kei Yamada

Abstract read
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Application of Dynamic [Molecular imaging and biology · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Frontiers in medicine · 2021
    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

8 authors.

Motoki NishimuraDepartment of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Nagara TamakiDepartment of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan. natamaki@koto.kpu-m.ac.jp.
Shigenori MatsushimaDepartment of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Maki KibaDepartment of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Tomoya KotaniDepartment of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Chisa BambaDepartment of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Yasunori NakamuraDepartment of Radiological Technology, University Hospital, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Kei YamadaDepartment of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSerial assessment of visual change in

methodsIn 88 suspected cancer patients, serial 3-min dynamic whole-body PET imaging was performed four times, from 60 min after

resultsDynamic whole-body PET imaging provided images of adequate quality for visual assessment. Dynamic image evaluation was "changed" in 118/154 regions of high physiological

conclusionDynamic whole-body

Indexed as

Fluorodeoxyglucose F18NeuroblastomaHumansPositron-Emission TomographyRadiopharmaceuticalsSensitivity and SpecificityWhole Body ImagingFluorodeoxyglucose F18Radiopharmaceuticals18F-FDGCancerDynamic acquisitionWhole-body PET

Identifiers

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.