Evidence map›Paper›PMID 28281025›Full record

ReviewThe international journal of cardiovascular imaging2017

CT myocardial perfusion imaging: current status and future perspectives.

Dong Hyun Yang, Young-Hak Kim

Abstract readReview
PubMed Publisher
In one paragraph

Review in The international journal of cardiovascular imaging, 2017. 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.

  1. Cardiac CT for the Assessment of Ischemic Cardiomyopathy.Journal of the Korean Society of Radiology · 2026
    Review
  2. Article
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  12. Cardiovascular imaging 2017 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2018
    Article
  13. Whence we came, whither we go?The international journal of cardiovascular imaging · 2017
    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

2 authors.

Dong Hyun YangDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-Gil, Songpa-gu, Seoul, 138-736, South Korea.
Young-Hak KimDepartment of Cardiology and Heart Institute, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea. mdyhkim@amc.seoul.kr.ORCID http://orcid.org/0000-0002-3610-486X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computed tomography myocardial perfusion (CTP) combined with coronary computed tomography angiography (CCTA) may constitute a "1-stop shop" for the noninvasive diagnosis of hemodynamically significant coronary stenosis during a single CT examination. CTP shows high diagnostic performance and provides incremental value over CCTA for the detection of hemodynamically significant coronary stenosis in patients with a high Agatston calcium score or coronary artery stents. Future studies should determine the optimal protocol and clinical value of CTP for guiding revascularization strategy and prognostication. In this article, we review the current status and future perspectives of CTP, focusing on technical considerations, clinical applications, and future research topics.

Indexed as

Computed Tomography AngiographyFractional Flow Reserve, MyocardialBlood Flow VelocityCoronary AngiographyCoronary Artery DiseaseCoronary VesselsHumansMyocardial Perfusion ImagingPredictive Value of TestsPrognosisRadiographic Image Interpretation, Computer-AssistedSeverity of Illness IndexComputed tomographyCoronary artery diseaseFractional flow reserveMyocardial ischemiaMyocardial perfusion

Identifiers

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.