Evidence map›Paper›PMID 22354744›Full record

ArticleMagnetic resonance in medicine2012

Voxel-wise quantification of myocardial perfusion by cardiac magnetic resonance. Feasibility and methods comparison.

Niloufar Zarinabad, Amedeo Chiribiri, Gilion L T F Hautvast, Masaki Ishida, Andreas Schuster, Zoran Cvetkovic, Philip G Batchelor, Eike Nagel

Open access · greenAbstract readComparative Study
In one paragraph

Article in Magnetic resonance in medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Society for cardiovascular magnetic resonance expert consensus statement on quantitative myocardial perfusion cardiovascular magnetic resonance imaging.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    Guideline
  3. Importance of operator training and rest perfusion on the diagnostic accuracy of stress perfusion cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2018
    Trial
  4. High-resolution quantification of stress perfusion defects by cardiac magnetic resonance.European heart journal. Imaging methods and practice · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Cardiac MR: From Theory to Practice.Frontiers in cardiovascular medicine · 2022
    Review
  9. Review
  10. Article
  11. Sub-segmental quantification of single (stress)-pass perfusion CMR improves the diagnostic accuracy for detection of obstructive coronary artery disease.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2020
    Observational
  12. Article
  13. Article
  14. SimultaneousEuropean journal of hybrid imaging · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Analysis of spatiotemporal fidelity in quantitative 3D first-pass perfusion cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2017
    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

8 authors at 5 institutions in 3 countries.

Niloufar ZarinabadDivision of Imaging Sciences and Biomedical Engineering, Wellcome Trust and EPSRC Medical Engineering Centre at Guy's and St. Thomas' NHS Foundation Trust, The Rayne Institute, St. Thomas' Hospital, London, United Kingdom. niloufar.zarinabad@kcl.ac.uk
Amedeo Chiribiri
Gilion L T F Hautvast
Masaki Ishida
Andreas Schuster
Zoran Cvetkovic
Philip G Batchelor
Eike Nagel
Guy's and St Thomas' NHS Foundation Trust · GBKing's College London · GBWellcome Trust · GBPhilips (Netherlands) · NLSt Thomas' Hospital · GB

Funding

British Heart Foundation FS/10/029/28253British Heart Foundation RE/08/003Department of HealthWellcome Trust 088641Wellcome Trust WT088641/Z/09/Z
6 · The paper itself

Abstract

The purpose of this study is to enable high spatial resolution voxel-wise quantitative analysis of myocardial perfusion in dynamic contrast-enhanced cardiovascular MR, in particular by finding the most favorable quantification algorithm in this context. Four deconvolution algorithms--Fermi function modeling, deconvolution using B-spline basis, deconvolution using exponential basis, and autoregressive moving average modeling--were tested to calculate voxel-wise perfusion estimates. The algorithms were developed on synthetic data and validated against a true gold-standard using a hardware perfusion phantom. The accuracy of each method was assessed for different levels of spatial averaging and perfusion rate. Finally, voxel-wise analysis was used to generate high resolution perfusion maps on real data acquired from five patients with suspected coronary artery disease and two healthy volunteers. On both synthetic and perfusion phantom data, the B-spline method had the highest error in estimation of myocardial blood flow. The autoregressive moving average modeling and exponential methods gave accurate estimates of myocardial blood flow. The Fermi model was the most robust method to noise. Both simulations and maps in the patients and hardware phantom showed that voxel-wise quantification of myocardium perfusion is feasible and can be used to detect abnormal regions.

Indexed as

Coronary CirculationBlood Flow VelocityCoronary Artery DiseaseFeasibility StudiesHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance AngiographyMagnetic Resonance Imaging, CineMyocardial Perfusion ImagingReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID22354744
PMCPMC7611327
OpenAlexW2133596198

What OpenQuestion holds

Textmetadata
LicenceTDM
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.