Evidence map›Paper›PMID 34520673›Full record

ArticleThe British journal of radiology2021

Clinical evaluation of data-driven respiratory gating for PET/CT in an oncological cohort of 149 patients: impact on image quality and patient management.

Michael Messerli, Virginia Liberini, Hannes Grünig, Alexander Maurer, Stephan Skawran, Niklas Lohaus, Lars Husmann, Erika Orita, Josephine Trinckauf, Philipp A Kaufmann and 1 more

Abstract readEvaluation Study
In one paragraph

Article in The British journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

11 authors.

Michael MesserliDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Virginia LiberiniDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Hannes GrünigDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Alexander MaurerDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Stephan SkawranDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Niklas LohausUniversity of Zurich, Zurich, Switzerland.
Lars HusmannDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Erika OritaDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Josephine TrinckaufDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Philipp A KaufmannDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Martin W HuellnerDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the impact of fully automatic motion correction by data-driven respiratory gating (DDG) on positron emission tomography (PET) image quality, lesion detection and patient management. MATERIALS AND

methodsA total of 149 patients undergoing PET/CT for cancer (re-)staging were retrospectively included. Patients underwent a PET/CT on a digital detector scanner and for every patient a PET data set where DDG was enabled (PET

resultsIn 85% (

conclusionDeviceless DDG provided reliable fully automatic motion correction in clinical routine and increased lesion detectability and changed management in a considerable number of patients. ADVANCES IN KNOWLEDGE: DDG enables PET/CT with respiratory gating to be used routinely in clinical practice without external gating equipment needed.

Indexed as

AdultAgedFemaleHumansMaleMiddle AgedMotionNeoplasmsNeoplasm StagingPositron Emission Tomography Computed TomographyRespiratory-Gated Imaging TechniquesRetrospective Studies

Identifiers

PMID34520673
PMCPMC9328056

What OpenQuestion holds

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Registered trials

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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.