Evidence map›Paper›PMID 32962752›Full record

ReviewCancer imaging : the official publication of the International Cancer Imaging Society2020

The utility of pharmacological and radiological interventions to optimize diagnostic information from PET/CT.

David Dudoignon, David A Pattison, Damien Legallois, Rodney J Hicks, Nicolas Aide

Abstract readReview
In one paragraph

Review in Cancer imaging : the official publication of the International Cancer Imaging Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Effect of metformin onThe British journal of radiology · 2022
    Review
  7. PET/CT variants and pitfalls in malignant melanoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022
    Review
  8. 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

5 authors.

David DudoignonThe Department of Nuclear Medicine, University Hospital, Caen, France.
David A PattisonDepartment of Nuclear Medicine & Specialised PET Services, Royal Brisbane and Women's Hospital, Herston, Australia.
Damien LegalloisThe Department of Cardiology, University Hospital, Caen, France.
Rodney J HicksThe Department of Molecular Imaging and Therapeutic Nuclear Medicine, the Peter MacCallum Cancer Institute, Melbourne, Australia.
Nicolas AideThe Department of Nuclear Medicine, University Hospital, Caen, France. aide-n@chu-caen.fr.ORCID http://orcid.org/0000-0001-9207-0847

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPositron Emission Tomography with Computed Tomography (PET/CT) is widely used in the assessment of many diseases, particularly including cancer. However, many factors can affect image quality and diagnostic performance of PET scans using FDG or other PET probes. MAIN BODY: The aim of this pictorial essay is to review PET/CT protocols that can be useful to overcome these confounding factors in routine clinical situations, with a particular focus on pharmacological interventions and problem-oriented CT acquisition protocols.

conclusionImaging protocols and representative cases will be discussed, in addition to potential contraindications and precautions to be taken.

Indexed as

Fluorodeoxyglucose F18HumansPositron Emission Tomography Computed TomographyPractice Guidelines as TopicPredictive Value of TestsRadiopharmaceuticalsFluorodeoxyglucose F18RadiopharmaceuticalsFalse-negativeInterventionMethodologyPositron emission tomographyProtocol

Identifiers

PMID32962752
PMCPMC7510123

What OpenQuestion holds

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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.