Evidence map›Paper›PMID 24744200›Full record

Trial reportEuropean radiology2014

Quantification of myocardial blood flow using dynamic 320-row multi-detector CT as compared with ¹⁵O-H₂O PET.

Yasuka Kikuchi, Noriko Oyama-Manabe, Masanao Naya, Osamu Manabe, Yuuki Tomiyama, Tsukasa Sasaki, Chietsugu Katoh, Kohsuke Kudo, Nagara Tamaki, Hiroki Shirato

Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in European radiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03324308 (The Safety, Feasibility and Accuracy of Dynamic Computed Tomography Myocardial Perfusion Imaging for Detection of Coronary Artery Disease), which is not on this map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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.

NCT03324308 nawithdrawnnot on this mapstarted 2018, after this paper: background citation

The Safety, Feasibility and Accuracy of Dynamic Computed Tomography Myocardial Perfusion Imaging for Detection of Coronary Artery Disease

TypeinterventionalSponsorJohns Hopkins UniversityRan2018 to 2022Enrolled0ConditionsCoronary Artery Disease, IschemiaArmsComputed Tomography Angiography
3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. How to perform and evaluate a myocardial perfusion imaging by computed tomography.European heart journal. Imaging methods and practice · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Computed tomography calls out nuclear imaging in its field: It doesn't matter how you are searching but what you are looking for.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  18. Article
  19. Observational
  20. Computed tomographic evaluation of myocardial ischemia.Japanese journal of radiology · 2020
    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

10 authors.

Yasuka KikuchiDepartment of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Kita15, Nishi 7, kita-ku, Sapporo, 060-8638, Japan.
Noriko Oyama-Manabe
Masanao Naya
Osamu Manabe
Yuuki Tomiyama
Tsukasa Sasaki
Chietsugu Katoh
Kohsuke Kudo
Nagara Tamaki
Hiroki Shirato

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study introduces a method to calculate myocardium blood flow (MBF) and coronary flow reserve (CFR) using the relatively low-dose dynamic 320-row multi-detector computed tomography (MDCT), validates the method against (15)O-H₂O positron-emission tomography (PET) and assesses the CFRs of coronary artery disease (CAD) patients.

methodsThirty-two subjects underwent both dynamic CT perfusion (CTP) and PET perfusion imaging at rest and during pharmacological stress. In 12 normal subjects (pilot group), the calculation method for MBF and CFR was established. In the other 13 normal subjects (validation group), MBF and CFR obtained by dynamic CTP and PET were compared. Finally, the CFRs obtained by dynamic CTP and PET were compared between the validation group and CAD patients (n = 7).

resultsCorrelation between MBF of MDCT and PET was strong (r = 0.95, P < 0.0001). CFR showed good correlation between dynamic CTP and PET (r = 0.67, P = 0.0126). CFRCT in the CAD group (2.3 ± 0.8) was significantly lower than that in the validation group (5.2 ± 1.8) (P = 0.0011).

conclusionsWe established a method for measuring MBF and CFR with the relatively low-dose dynamic MDCT. Lower CFR was well demonstrated in CAD patients by dynamic CTP. KEY POINTS: • MBF and CFR can be calculated using dynamic CTP with 320-row MDCT. • MBF and CFR showed good correlation between dynamic CTP and PET. • Lower CFR was well demonstrated in CAD patients by dynamic CTP.

Indexed as

AdultAgedCoronary Artery DiseaseCoronary CirculationFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedMultidetector Computed TomographyPilot ProjectsPositron-Emission TomographyProspective StudiesRadiation DosageRegional Blood FlowReproducibility of Results

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.