Evidence map›Paper›PMID 27334015›Full record

Observational studyEuropean radiology2017

Computed tomography myocardial perfusion vs

Michelle C Williams, Saeed Mirsadraee, Marc R Dweck, Nicholas W Weir, Alison Fletcher, Christophe Lucatelli, Tom MacGillivray, Saroj K Golay, Nicholas L Cruden, Peter A Henriksen and 7 more

Open access · hybridAbstract readComparative StudyObservational Study
In one paragraph

Observational study in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.4field-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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Biomarkers of Cardiac Metabolic Flexibility in Health, HFrEF and HFpEF.International journal of molecular sciences · 2026
    Review
  4. Review
  5. Strengths and weaknesses of alternative noninvasive imaging approaches for microvascular ischemia.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Review
  6. Review
  7. Article
  8. Article
  9. Current Use and Complementary Value of CombiningFrontiers in pharmacology · 2022
    Review
  10. Article
  11. Cardiac CT perfusion and FFRCardiovascular diagnosis and therapy · 2020
    Review
  12. Article
  13. [Advancement of imaging technology for coronary microcirculation dysfunction assessment].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. Coronary circulation: Pressure/flow parameters for assessment of ischemic heart disease.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    Review
  18. Quantification of PET Myocardial Blood Flow.Current cardiology reports · 2019
    Review
  19. Article
  20. 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

17 authors at 4 institutions in 2 countries.

Michelle C WilliamsUniversity of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Chancellor's Building, 49 Little France Crescent, Edinburgh, UK, EH16 4SB. michelle.williams@ed.ac.uk.
Saeed MirsadraeeClinical Research Imaging Centre, University of Edinburgh, Edinburgh, UK.
Marc R DweckUniversity of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Chancellor's Building, 49 Little France Crescent, Edinburgh, UK, EH16 4SB.
Nicholas W WeirClinical Research Imaging Centre, University of Edinburgh, Edinburgh, UK.
Alison FletcherClinical Research Imaging Centre, University of Edinburgh, Edinburgh, UK.
Christophe LucatelliClinical Research Imaging Centre, University of Edinburgh, Edinburgh, UK.
Tom MacGillivrayUniversity of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Chancellor's Building, 49 Little France Crescent, Edinburgh, UK, EH16 4SB.
Saroj K GolayUniversity of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Chancellor's Building, 49 Little France Crescent, Edinburgh, UK, EH16 4SB.
Nicholas L CrudenEdinburgh Heart Centre, Royal Infirmary of Edinburgh, Edinburgh, UK.
Peter A HenriksenEdinburgh Heart Centre, Royal Infirmary of Edinburgh, Edinburgh, UK.
Neal UrenEdinburgh Heart Centre, Royal Infirmary of Edinburgh, Edinburgh, UK.
Graham McKillopDepartment of Radiology, Royal Infirmary of Edinburgh, Edinburgh, UK.
João A C LimaDepartments of Medicine and Radiology, Johns Hopkins Hospital, Baltimore, MD, USA.
John H ReidClinical Research Imaging Centre, University of Edinburgh, Edinburgh, UK.
Edwin J R van BeekUniversity of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Chancellor's Building, 49 Little France Crescent, Edinburgh, UK, EH16 4SB.
Dilip PatelDepartment of Radiology, Royal Infirmary of Edinburgh, Edinburgh, UK.
David E NewbyUniversity of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Chancellor's Building, 49 Little France Crescent, Edinburgh, UK, EH16 4SB.
University of Edinburgh · GBEdinburgh Royal Infirmary · GBBritish Heart Foundation · GBJohns Hopkins Hospital · US

Funding

British Heart Foundation FS/11/14/28692British Heart Foundation FS/14/78/31020British Heart Foundation RG/16/10/32375Medical Research Council G0701127
6 · The paper itself

Abstract

objectivesComputed tomography (CT) can perform comprehensive cardiac imaging. We compared CT coronary angiography (CTCA) and CT myocardial perfusion (CTP) with

methods51 patients (63 (61-65) years, 80 % male) with known/suspected coronary artery disease (CAD) underwent 320-multidetector CTCA followed by "snapshot" adenosine stress CTP. Of these 22 underwent PET and 47 ICA/FFR. Obstructive CAD was defined as CTCA stenosis >50 % and CTP hypoperfusion, ICA stenosis >70 % or FFR <0.80.

resultsPET hyperaemic myocardial blood flow (MBF) was lower in obstructive than non-obstructive territories defined by ICA/FFR (1.76 (1.32-2.20) vs 3.11 (2.44-3.79) mL/(g/min), P < 0.001) and CTCA/CTP (1.76 (1.32-2.20) vs 3.12 (2.44-3.79) mL/(g/min), P < 0.001). Baseline and hyperaemic CT attenuation density was lower in obstructive than non-obstructive territories (73 (71-76) vs 86 (84-88) HU, P < 0.001 and 101 (96-106) vs 111 (107-114) HU, P 0.001). PET hyperaemic MBF corrected for rate pressure product correlated with CT attenuation density (r = 0.579, P < 0.001). There was excellent per-patient sensitivity (96 %), specificity (85 %), negative predictive value (90 %) and positive predictive value (94 %) for CTCA/CTP vs ICA/FFR.

conclusionCT myocardial attenuation density correlates with KEY POINTS: •CT myocardial perfusion can aid the assessment of suspected coronary artery disease. • CT attenuation density from "snapshot" imaging is a marker of myocardial perfusion. • CT myocardial attenuation density correlates with

Indexed as

Fractional Flow Reserve, MyocardialAdenosineAgedComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary StenosisExercise TestFemaleHumansMaleMiddle AgedMyocardial Perfusion ImagingOxygen RadioisotopesPositron-Emission TomographyPredictive Value of TestsAdenosineOxygen RadioisotopesVasodilator AgentsWaterAnginaAngiographyImagingIschaemiaPerfusion

Identifiers

PMID27334015
PMCPMC5306314
OpenAlexW2464516655

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.