Evidence map›Paper›PMID 31115756›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

Dynamic, patient-specific mitral valve modelling for planning transcatheter repairs.

Olivia K Ginty, John T Moore, Mehdi Eskandari, Patrick Carnahan, Andras Lasso, Matthew A Jolley, Mark Monaghan, Terry M Peters

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  4. A Soft Robotic Model for Simulating Heart Valve Disease and Cardiac Interventions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  9. An ex-vivo and in-vitro dynamic simulator for surgical and transcatheter mitral valve interventions.International journal of computer assisted radiology and surgery · 2024
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  16. Visualization and Quantification of the Unrepaired Complete Atrioventricular Canal Valve Using Open-Source Software.Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography · 2022
    Article
  17. Article
  18. Disruptive technologies in mitral modelling-a riot of innovation.Interactive cardiovascular and thoracic surgery · 2022
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  19. Review
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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

8 authors at 4 institutions in 3 countries.

Olivia K GintyRobarts Research Institute, Western University, London, N6A5B7, Canada. oginty@uwo.ca.
John T MooreRobarts Research Institute, Western University, London, N6A5B7, Canada.
Mehdi EskandariKing's College Hospital, Denmark Hill, London, SE59RS, UK.
Patrick CarnahanRobarts Research Institute, Western University, London, N6A5B7, Canada.
Andras LassoLaboratory for Percutaneous Surgery, Queen's University, Kingston, K7L3N6, Canada.
Matthew A JolleyDepartment of Anesthesiology and Critical Care Medicine/Division of Pediatric Cardiology, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, 19104, USA.
Mark MonaghanKing's College Hospital, Denmark Hill, London, SE59RS, UK.
Terry M PetersRobarts Research Institute, Western University, London, N6A5B7, Canada.
Western University · CAKing's College Hospital · GBPhiladelphia University · USQueen's University · CA

Funding

Canadian Foundation for Innovation 20994 20994Canadian Institutes for Health Research FDN 201409Ontario Research Fund IDCD
6 · The paper itself

Abstract

purposeTranscatheter, beating heart repair techniques for mitral valve regurgitation is a very active area of development. However, it is difficult to both simulate and predict the clinical outcomes of mitral repairs, owing to the complexity of mitral valve geometry and the influence of hemodynamics. We aim to produce a workflow for manufacturing dynamic patient-specific models to simulate the mitral valve for transcatheter repair applications.

methodsIn this paper, we present technology and associated workflow, for using transesophageal echocardiography to generate dynamic physical replicas of patient valves. We validate our workflow using six patient datasets representing patients with unique or particularly challenging pathologies as selected by a cardiologist. The dynamic component of the models and their resultant potential as procedure planning tools is due to a dynamic pulse duplicator that permits the evaluation of the valve models experiencing realistic hemodynamics.

resultsEarly results indicate the workflow has excellent anatomical accuracy and the ability to replicate regurgitation pathologies, as shown by colour Doppler ultrasound and anatomical measurements comparing patients and models. Analysis of all measurements successfully resulted in t critical two-tail > t stat and p values > 0.05, thus demonstrating no statistical difference between the patients and models, owing to high fidelity morphological replication.

conclusionsDue to the combination of a dynamic environment and patient-specific modelling, this workflow demonstrates a promising technology for simulating the complete morphology of mitral valves undergoing transcatheter repairs.

Indexed as

Heart Valve ProsthesisPatient-Specific ModelingEchocardiography, TransesophagealHemodynamicsHumansMitral ValveMitral Valve Insufficiency3D printingMitral valveMitral valve modelsModellingSurgical simulationTranscatheter devices

Identifiers

PMID31115756
OpenAlexW2946267017

What OpenQuestion holds

Textmetadata
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.