Evidence map›Paper›PMID 26667445›Full record

ReviewThe international journal of cardiovascular imaging2016

CT-based myocardial ischemia evaluation: quantitative angiography, transluminal attenuation gradient, myocardial perfusion, and CT-derived fractional flow reserve.

Hyun Jung Koo, Dong Hyun Yang, Young-Hak Kim, Joon-Won Kang, Soo-Jin Kang, Jihoon Kweon, Hyun Jung Kim, Tae-Hwan Lim

Abstract readReview
PubMed Publisher
In one paragraph

Review in The international journal of cardiovascular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. How to perform and evaluate a myocardial perfusion imaging by computed tomography.European heart journal. Imaging methods and practice · 2025
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  5. Article
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  10. CT myocardial perfusion imaging: current status and future perspectives.The international journal of cardiovascular imaging · 2017
    Review
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

8 authors.

Hyun Jung KooDepartment of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Asanbyeongwon-gil 86, Seoul, 138-736, South Korea.
Dong Hyun YangDepartment of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Asanbyeongwon-gil 86, Seoul, 138-736, South Korea. donghyun.yang@gmail.com.
Young-Hak KimDepartment of Cardiology and Heart Institute, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Joon-Won KangDepartment of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Asanbyeongwon-gil 86, Seoul, 138-736, South Korea.
Soo-Jin KangDepartment of Cardiology and Heart Institute, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Jihoon KweonDepartment of Cardiology and Heart Institute, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Hyun Jung KimDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, South Korea.
Tae-Hwan LimDepartment of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Asanbyeongwon-gil 86, Seoul, 138-736, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of hemodynamically significant stenosis is important because ischemia-guided revascularization improves overall patient outcomes. Fractional flow reserve (FFR), which is measured during invasive coronary angiography, is regarded as the gold standard for determining hemodynamically significant coronary stenosis. Although coronary computed tomography angiography (CCTA) has been widely used to exclude significant coronary artery disease in patients with low to intermediate pretest probability, anatomic assessment by CCTA using diameter stenosis ≥50 % does not correlate well with the functional assessment of FFR. To overcome the weaknesses of conventional CCTA, such as its low specificity and positive predictive value, especially in patients with a small-diameter artery, poor image quality, or high calcium score, more sophisticated CCTA analysis methods have been developed to detect hemodynamically significant coronary stenosis. Studies that use the quantification of coronary plaque, transluminal attenuation gradient (TAG), CT myocardial perfusion (CTP), and CT-derived FFR have been conducted to validate their diagnostic performances, though each method has its pros and cons. This review provides details on the quantification of coronary plaque, TAG, CTP, and CT-derived FFR, including a definition of each, how to gather and interpret data, and the strengths and limitations of each. Further, we provide an overview of recent clinical studies.

Indexed as

Computed Tomography AngiographyFractional Flow Reserve, MyocardialAdultAgedCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCoronary VesselsFemaleHumansMaleMiddle AgedMyocardial Perfusion ImagingPlaque, AtheroscleroticPredictive Value of TestsPrognosisComputed tomographyFractional flow reserveMyocardial ischemiaMyocardial perfusion

Identifiers

PMID26667445

What OpenQuestion holds

Textmetadata
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.