Evidence map›Paper›PMID 25415725›Full record

ArticleAJR. American journal of roentgenology2014

Diagnostic performance of dual-energy CT stress myocardial perfusion imaging: direct comparison with cardiovascular MRI.

Sung Min Ko, Meong Gun Song, Hyun Kun Chee, Hweung Kon Hwang, Gudrun Maria Feuchtner, James K Min

Abstract readComparative Study
In one paragraph

Article in AJR. American journal of roentgenology, 2014. 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
3.5field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 36 citations in OpenAlex.

  1. Predicting Chronic Myocardial Ischemia Using CCTA-Based Radiomics Machine Learning Nomogram.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Trial
  2. Article
  3. Article
  4. Cardiac CT perfusion and FFRCardiovascular diagnosis and therapy · 2020
    Review
  5. Dual-energy CT and coronary imaging.Cardiovascular diagnosis and therapy · 2020
    Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Infarct characterization using CT.Cardiovascular diagnosis and therapy · 2017
    Review
  12. Review
  13. Article
  14. Article
  15. 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

6 authors at 2 institutions in 2 countries.

Sung Min Ko1 Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, 120-1 Neungdong-ro, Hwayang-dong, Gwangjin-gu, Seoul, 143-729, Korea.
Meong Gun Song
Hyun Kun Chee
Hweung Kon Hwang
Gudrun Maria Feuchtner
James K Min
Konkuk University Medical Center · KRInnsbruck Medical University · AT

Funding

Dual Energy Computed Tomography for Determining Coronary Lesion-Specific IschemiaR01HL111141 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI EDIC, PETER, MIN, JAMES K · 2013 to 2017
$3.0M
NHLBI NIH HHS R01 HL111141NHLBI NIH HHS R01HL111141
6 · The paper itself

Abstract

objectiveThe purpose of this study was to assess the diagnostic performance of stress perfusion dual-energy CT (DECT) and its incremental value when used with coronary CT angiography (CTA) for identifying hemodynamically significant coronary artery disease. SUBJECTS AND

methodsOne hundred patients with suspected or known coronary artery disease without chronic myocardial infarction detected with coronary CTA underwent stress perfusion DECT, stress cardiovascular perfusion MRI, and invasive coronary angiography (ICA). Stress perfusion DECT and cardiovascular stress perfusion MR images were used for detecting perfusion defects. Coronary CTA and ICA were evaluated in the detection of ≥50% coronary stenosis. The diagnostic performance of coronary CTA for detecting hemo-dynamically significant stenosis was assessed before and after stress perfusion DECT on a per-vessel basis with ICA and cardiovascular stress perfusion MRI as the reference standard.

resultsThe performance of stress perfusion DECT compared with cardiovascular stress perfusion MRI on a per-vessel basis in the detection of perfusion defects was sensitivity, 89%; specificity, 74%; positive predictive value, 73%; negative predictive value, 90%. Per segment, these values were sensitivity, 76%; specificity, 80%; positive predictive value, 63%; and negative predictive value, 88%. Compared with ICA and cardiovascular stress perfusion MRI per vessel territory the sensitivity, specificity, positive predictive value, and negative predictive value of coronary CTA were 95%, 61%, 61%, and 95%. The values for stress perfusion DECT were 92%, 72%, 68%, and 94%. The values for coronary CTA and stress perfusion DECT were 88%, 79%, 73%, and 91%. The ROC AUC increased from 0.78 to 0.84 (p=0.02) with the use of coronary CTA and stress perfusion DECT compared with coronary CTA alone.

conclusionStress perfusion DECT plays a complementary role in enhancing the accuracy of coronary CTA for identifying hemodynamically significant coronary stenosis.

Indexed as

AdultAgedCoronary StenosisExercise TestFemaleHumansMagnetic Resonance Imaging, CineMaleMiddle AgedMyocardial Perfusion ImagingRadiography, Dual-Energy Scanned ProjectionReproducibility of ResultsSensitivity and SpecificityTomography, X-Ray Computedcardiovascular MRIcoronary artery diseaseCTdual-energy CTischemia

Identifiers

PMID25415725
PMCPMC4268784
OpenAlexW2133484113

What OpenQuestion holds

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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.