Evidence map›Paper›PMID 22146500›Full record

ArticleJournal of cardiovascular computed tomography

Myocardial hypo-enhancement on resting computed tomography angiography images accurately identifies myocardial hypoperfusion.

Joshua L Busch, Adam M Alessio, James H Caldwell, Mohit Gupta, Songshou Mao, Jigar Kadakia, William Shuman, Matthew J Budoff, Kelley R Branch

Open access · greenAbstract read
In one paragraph

Article in Journal of cardiovascular computed tomography. 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
2.6field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Myocardial computed tomography perfusion.Cardiovascular diagnosis and therapy · 2017
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Simulation Evaluation of Quantitative Myocardial Perfusion Assessment from Cardiac CT.Proceedings of SPIE--the International Society for Optical Engineering · 2014
    Article
  12. Myocardial perfusion imaging with cardiac computed tomography: state of the art.Journal of cardiovascular translational research · 2013
    Review
  13. 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.

Joshua L BuschDivision of Cardiology, University of Washington, Seattle, WA 98195, USA.
Adam M Alessio
James H Caldwell
Mohit Gupta
Songshou Mao
Jigar Kadakia
William Shuman
Matthew J Budoff
Kelley R Branch
University of Washington · USThe Lundquist Institute · US

Funding

Institute for Translational Health Science (KL2)KL2RR025015 · NCRR · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2007 to 2011
$9.3M
Quantitative Cardiac PET/CT ImagingK25HL086713 · NHLBI · UNIVERSITY OF WASHINGTON · PI ALESSIO, ADAM M · 2007 to 2011
$567k
NCRR NIH HHS 5KL2RR025015-02NCRR NIH HHS KL2 RR025015NHLBI NIH HHS K25 HL086713
6 · The paper itself

Abstract

objectiveThe objective of this study was to test the diagnostic accuracy of myocardial CT perfusion (CTP) imaging using color and gray-scale image analysis.

backgroundCurrent myocardial CTP techniques have varying diagnostic accuracy and are prone to artifacts that impair detection. This study evaluated the diagnostic accuracy of color and/or gray-scale CTP and the application of artifact criteria to detect hypoperfusion.

methodsFifty-nine prospectively enrolled patients with abnormal single-photon emission computed tomography (SPECT) studies were analyzed. True hypoperfusion was defined if SPECT hypoperfusion corresponded to obstructive coronary stenoses on CT angiography (CTA). CTP applied color and gray-scale myocardial perfusion maps to resting CTA images. Criteria for identifying artifacts were also applied during interpretation.

resultsUsing combined SPECT plus CTA as the diagnostic standard, abnormal myocardial CTP was present in 33 (56%) patients, 19 suggesting infarction and 14 suggesting ischemia. Patient-level color and gray-scale myocardial CTP sensitivity to detect infarction was 90%, with specificity 80%, and negative and positive predictive value of 94% and 68%. To detect ischemia or infarction, CTP specificity and positive predictive value were 92% whereas sensitivity was 70%. Gray-scale myocardial CTP had slightly lower specificity but similar sensitivity. Myocardial CTP artifacts were present in 88% of studies and were identified using our criteria.

conclusionsColor and gray-scale myocardial CTP using resting CTA images identified myocardial infarction with high sensitivity as well as infarction or ischemia with high specificity and positive predictive value without additional testing or radiation. Color and gray-scale CTP had slightly better specificity than gray-scale alone.

Indexed as

Coronary CirculationTomography, X-Ray ComputedAgedArtifactsCoronary AngiographyCoronary StenosisFemaleHemodynamicsHumansMaleMiddle AgedMyocardial InfarctionMyocardial IschemiaMyocardial Perfusion ImagingPredictive Value of TestsPrognosis

Identifiers

PMID22146500
PMCPMC3246505
OpenAlexW2040376504

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.