Evidence map›Paper›PMID 31353427›Full record

ArticleMedical & biological engineering & computing2019

Aortic root sizing for transcatheter aortic valve implantation using a shape model parameterisation.

Bart Bosmans, Toon Huysmans, Patricia Lopes, Eva Verhoelst, Tim Dezutter, Peter de Jaegere, Jan Sijbers, Jos Vander Sloten, Johan Bosmans

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Medical & biological engineering & computing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 5 institutions in 2 countries.

Bart BosmansKULeuven, Faculty of Engineering Science, Departement of Mechanical Engineering, Biomechanics Section, Celestijnenlaan 300C, 3001, Leuven, Belgium. bart.bosmans@materialise.be.
Toon HuysmansiMinds-Vision Lab, University of Antwerp, Universiteitsplein 1, 2610, Antwerp, Belgium. toon.huysmans@uantwerpen.be.
Patricia LopesKULeuven, Faculty of Engineering Science, Departement of Mechanical Engineering, Biomechanics Section, Celestijnenlaan 300C, 3001, Leuven, Belgium.
Eva VerhoelstMaterialise N.V., Technologielaan 15, 3001, Leuven, Belgium.
Tim DezutterUGent, IBiTech-bioMMeda, iMinds medical IT, Ghent University, Ghent, Belgium.
Peter de JaegereErasmus Medical Center, Thoraxcenter, Departement of Cardiology, 's-Gravendijkwal 230, 3015, CE, Rotterdam, The Netherlands.
Jan SijbersiMinds-Vision Lab, University of Antwerp, Universiteitsplein 1, 2610, Antwerp, Belgium.
Jos Vander SlotenKULeuven, Faculty of Engineering Science, Departement of Mechanical Engineering, Biomechanics Section, Celestijnenlaan 300C, 3001, Leuven, Belgium.
Johan BosmansFaculty of Medicine and Health Sciences, Department of Translational Pathophysiological Research, Cardiovascular diseases, University of Antwerp, Universiteitsplein 1, 2610, Antwerp, Belgium.
iMinds · BEKU Leuven · BEUniversity of Antwerp · BEErasmus University Rotterdam · NLMaterialise (Belgium) · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During a transcatheter aortic valve implantation, an axisymmetric implant is placed in an irregularly shaped aortic root. Implanting an incorrect size can cause complications such as leakage of blood alongside or through the implant. The aim of this study was to construct a method that determines the optimal size of the implant based on the three-dimensional shape of the aortic root. Based on the pre-interventional computed tomography scan of 89 patients, a statistical shape model of their aortic root was constructed. The weights associated with the principal components and the volume of calcification in the aortic valve were used as parameters in a classification algorithm. The classification algorithm was trained using the patients with no or mild leakage after their intervention. Subsequently, the algorithms were applied to the patients with moderate to severe leakage. Cross validation showed that a random forest classifier assigned the same size in 65 ± 7% of the training cases, while 57 ± 8% of the patients with moderate to severe leakage were assigned a different size. This initial study showed that this semi-automatic method has the potential to correctly assign an implant size. Further research is required to assess whether the different size implants would improve the outcome of those patients.

Indexed as

AlgorithmsModels, CardiovascularTranscatheter Aortic Valve ReplacementAged, 80 and overAortic ValveComputer SimulationFemaleHeart Valve ProsthesisHeart VentriclesHumansMalePrincipal Component AnalysisReproducibility of ResultsTomography, X-Ray ComputedAortic root sizingStatistical shape modellingTranscatheter aortic valve implantation

Identifiers

PMID31353427
OpenAlexW2966028334

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.