Evidence map›Paper›PMID 29492838›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2019

Prevalence and variability in reporting of clinically actionable incidental findings on attenuation-correction CT scans in a veteran population.

B Julie He, Brian J Malm, Michelle Carino, Mehran M Sadeghi

Abstract read
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In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Prevalence and nature of extracardiac findings in PET/CT myocardial perfusion imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  3. Incidental findings on cardiac computed tomography: No new emergencies to declare!Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  4. Incidental finding of COVID-19 pulmonary infiltrates on SPECT/CT attenuation correction CT.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  5. Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2019: Single-photon emission computed tomography.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Review
  6. Pulmonary nodules incidentally detected on attenuation-correction CT scans in MPI.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  7. Article
  8. Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2019: Positron emission tomography, computed tomography and magnetic resonance.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Review
  9. Incidental findings on hybrid SPECT-CT and PET-CT scanners: Is it time for new training and reporting guidelines?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

B Julie HeSection of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT, USA.
Brian J MalmSection of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT, USA.
Michelle CarinoVeterans Affairs Connecticut Healthcare System, West Haven, CT, USA.
Mehran M SadeghiSection of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT, USA. mehran.sadeghi@yale.edu.
VA Connecticut Healthcare System · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyocardial perfusion imaging (MPI) often employs attenuation-correction computed tomography (CTAC) to reduce attenuation artifacts and improve specificity. While there is no specific guideline on how they should be reported, incidental noncardiac findings identified on these scans may be clinically significant. The prevalence of these findings in veterans is not currently known. In addition, variability in reporting these findings may depend on the interpreting physician's specialty.

methodsTo guide future decision-making, CTACs in veterans referred for MPI were prospectively evaluated in a quality-control project for a set of prespecified actionable incidental findings by cardiologists and a radiologist.

resultsOn the 771 scans performed over eight months, 285 incidental noncardiac findings were identified by the interpreting cardiologists and 378 were identified by the interpreting radiologist. Pulmonary nodules were the most common occurring in 20% of studies read by the radiologist. Interreader agreements between cardiologists and the radiologist were poor for pulmonary nodules ≥ 10 mm and hiatal hernias; fair for pulmonary nodules < 10 mm, extracardiac masses, and aortic aneurysms; and moderate for pleural plaques.

conclusionIncidental noncardiac findings on CTACs are common in our veteran population. Overall interobserver agreement in identifying these findings between cardiologists and radiologists is fair. Specific guidelines are needed on how CTACs should be read and reported.

Indexed as

Incidental FindingsMyocardial Perfusion ImagingTomography, X-Ray ComputedAgedArtifactsDecision MakingFemaleHumansMaleMiddle AgedObserver VariationPrevalenceProspective StudiesQuality ControlSensitivity and SpecificityUnited Statesattenuation-corrected computed tomographyIncidental findingsmyocardial perfusion imaging

Identifiers

PMID29492838
OpenAlexW2791526154

What OpenQuestion holds

Textmetadata
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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.