Evidence map›Paper›PMID 29603064›Full record

ArticleInternational journal of computer assisted radiology and surgery2018

LV function validation of computer-assisted interventional system for cardiac resyncronisation therapy.

Maria Panayiotou, R James Housden, Athanasius Ishak, Alexander Brost, Christopher A Rinaldi, Benjamin Sieniewicz, Jonathan M Behar, Tanja Kurzendorfer, Kawal S Rhode

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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Maria PanayiotouDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK. maria.panayiotou@kcl.ac.uk.ORCID http://orcid.org/0000-0002-1266-2269
R James HousdenDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Athanasius IshakDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Alexander BrostSiemens Healthineers, Forchheim, Germany.
Christopher A RinaldiDepartment of Cardiology, Guy's and St. Thomas' Hospitals NHS Foundation Trust, London, UK.
Benjamin SieniewiczDepartment of Cardiology, Guy's and St. Thomas' Hospitals NHS Foundation Trust, London, UK.
Jonathan M BeharDepartment of Cardiology, Guy's and St. Thomas' Hospitals NHS Foundation Trust, London, UK.
Tanja KurzendorferSiemens Healthineers, Forchheim, Germany.
Kawal S RhodeDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.

Funding

British Heart Foundation PG/16/108/32593Engineering and Physical Sciences Research Council and Innovate UK [EP/L505328/1]
6 · The paper itself

Abstract

purposeCardiac resynchronisation therapy (CRT) is an established treatment for symptomatic patients with heart failure, a prolonged QRS duration, and impaired left ventricular (LV) function; however, non-response rates remain high. Recently proposed computer-assisted interventional platforms for CRT provide new routes to improving outcomes. Interventional systems must process information in an accurate, fast and highly automated way that is easy for the interventional cardiologists to use. In this paper, an interventional CRT platform is validated against two offline diagnostic tools to demonstrate that accurate information processing is possible in the time critical interventional setting.

methodsThe study consisted of 3 healthy volunteers and 16 patients with heart failure and conventional criteria for CRT. Data analysis included the calculation of end-diastolic volume, end-systolic volume, stroke volume and ejection fraction; computation of global volume over the cardiac cycle as well as time to maximal contraction expressed as a percentage of the total cardiac cycle.

resultsThe results showed excellent correlation ([Formula: see text] values of [Formula: see text] and Pearson correlation coefficient of [Formula: see text]) with comparable offline diagnostic tools.

conclusionResults confirm that our interventional system has good accuracy in everyday clinical practice and can be of clinical utility in identification of CRT responders and LV function assessment.

Indexed as

Cardiac Resynchronization Therapy DevicesImaging, Three-DimensionalAgedEquipment DesignFemaleHeart FailureHeart VentriclesHumansMagnetic Resonance Imaging, CineMaleMiddle AgedStroke VolumeSurgery, Computer-AssistedTreatment OutcomeVentricular Function, LeftCardiac magnetic resonance imagingCardiac resynchronisation therapyEjection fractionLeft ventricular volumes

Identifiers

PMID29603064
PMCPMC5974009

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.