Evidence map›Paper›PMID 29392098›Full record

ArticleComputer methods in biomechanics and biomedical engineering. Imaging & visualization2018

Patient-specific coronary blood supply territories for quantitative perfusion analysis.

Constantine Zakkaroff, John D Biglands, John P Greenwood, Sven Plein, Roger D Boyle, Aleksandra Radjenovic, Derek R Magee

Open access · hybridAbstract read
In one paragraph

Article in Computer methods in biomechanics and biomedical engineering. Imaging & visualization, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

7 authors at 3 institutions in 1 country.

Constantine ZakkaroffSchool of Computing, The University of Leeds, Leeds, UK.
John D BiglandsDivision of Medical Physics and Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
John P GreenwoodDivision of Medical Physics and Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Sven PleinDivision of Medical Physics and Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Roger D BoyleInstitute of Biological, Environmental and Rural Sciences, University of Aberystwyth, Aberystwyth, UK.
Aleksandra RadjenovicInstitute of Cardiovascular and Medical Sciences, British Heart Foundation Glasgow Cardiovascular Centre, University of Glasgow, Glasgow, UK.
Derek R MageeSchool of Computing, The University of Leeds, Leeds, UK.
University of Leeds · GBAberystwyth University · GBUniversity of Glasgow · GB

Funding

British Heart Foundation RG/05/004Department of Health RTF/01/014
6 · The paper itself

Abstract

Myocardial perfusion imaging, coupled with quantitative perfusion analysis, provides an important diagnostic tool for the identification of ischaemic heart disease caused by coronary stenoses. The accurate mapping between coronary anatomy and under-perfused areas of the myocardium is important for diagnosis and treatment. However, in the absence of the actual coronary anatomy during the reporting of perfusion images, areas of ischaemia are allocated to a coronary territory based on a population-derived 17-segment (American Heart Association) AHA model of coronary blood supply. This work presents a solution for the fusion of 2D Magnetic Resonance (MR) myocardial perfusion images and 3D MR angiography data with the aim to improve the detection of ischaemic heart disease. The key contribution of this work is a novel method for the mediated spatiotemporal registration of perfusion and angiography data and a novel method for the calculation of patient-specific coronary supply territories. The registration method uses 4D cardiac MR cine series spanning the complete cardiac cycle in order to overcome the under-constrained nature of non-rigid slice-to-volume perfusion-to-angiography registration. This is achieved by separating out the deformable registration problem and solving it through phase-to-phase registration of the cine series. The use of patient-specific blood supply territories in quantitative perfusion analysis (instead of the population-based model of coronary blood supply) has the potential of increasing the accuracy of perfusion analysis. Quantitative perfusion analysis diagnostic accuracy evaluation with patient-specific territories against the AHA model demonstrates the value of the mediated spatiotemporal registration in the context of ischaemic heart disease diagnosis.

Indexed as

image registrationpatient-specific coronary supply territoriesQuantitative myocardial perfusion analysis

Identifiers

PMID29392098
PMCPMC5774224
OpenAlexW2472266659

What OpenQuestion holds

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LicenceCC BY
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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.