Evidence map›Paper›PMID 30293173›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

Virtual downsizing for decision support in mitral valve repair.

Mathias Neugebauer, Lennart Tautz, Markus Hüllebrand, Simon Sündermann, Franziska Degener, Leonid Goubergrits, Titus Kühne, Volkmar Falk, Anja Hennemuth

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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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  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

9 authors.

Mathias NeugebauerFraunhofer Institute for Medical Image Computing - MEVIS, Am Fallturm 1, 28359, Bremen, Germany. mathias.neugebauer@mevis.fraunhofer.de.
Lennart TautzFraunhofer Institute for Medical Image Computing - MEVIS, Am Fallturm 1, 28359, Bremen, Germany.
Markus HüllebrandFraunhofer Institute for Medical Image Computing - MEVIS, Am Fallturm 1, 28359, Bremen, Germany.
Simon SündermannGerman Heart Institute Berlin - DHZB, Berlin, Germany.
Franziska DegenerGerman Heart Institute Berlin - DHZB, Berlin, Germany.
Leonid GoubergritsCharité - University Medicine Berlin, Berlin, Germany.
Titus KühneGerman Heart Institute Berlin - DHZB, Berlin, Germany.
Volkmar FalkGerman Heart Institute Berlin - DHZB, Berlin, Germany.
Anja HennemuthFraunhofer Institute for Medical Image Computing - MEVIS, Am Fallturm 1, 28359, Bremen, Germany.

Funding

Bundesministerium für Bildung und Forschung 03VP0085
6 · The paper itself

Abstract

purposeVarious options are available for the treatment of mitral valve insufficiency, including reconstructive approaches such as annulus correction through ring implants. The correct choice of general therapy and implant is relevant for an optimal outcome. Additional to guidelines, decision support systems (DSS) can provide decision aid by means of virtual intervention planning and predictive simulations. Our approach on virtual downsizing is one of the virtual intervention tools that are part of the DSS workflow. It allows for emulating a ring implantation based on patient-specific lumen geometry and vendor-specific implants.

methodsOur approach is fully automatic and relies on a lumen mask and an annulus contour as inputs. Both are acquired from previous DSS workflow steps. A virtual surface- and contour-based model of a vendor-specific ring design (26-40 mm) is generated. For each case, the ring geometry is positioned with respect to the original, patient-specific annulus and additional anatomical landmarks. The lumen mesh is parameterized to allow for a vertex-based deformation with respect to the user-defined annulus. Derived from post-interventional observations, specific deformation schemes are applied to atrium and ventricle and the lumen mesh is altered with respect to the ring location.

resultsFor quantitative evaluation, the surface distance between the deformed lumen mesh and segmented post-operative echo lumen close to the annulus was computed for 11 datasets. The results indicate a good agreement. An arbitrary subset of six datasets was used for a qualitative evaluation of the complete lumen. Two domain experts compared the deformed lumen mesh with post-interventional echo images. All deformations were deemed plausible.

conclusionOur approach on virtual downsizing allows for an automatic creation of plausible lumen deformations. As it takes only a few seconds to generate results, it can be added to a virtual intervention toolset without unnecessarily increasing the pipeline complexity.

Indexed as

Decision Support TechniquesHeart Valve ProsthesisHeart Valve Prosthesis ImplantationHumansMitral ValveMitral Valve AnnuloplastyMitral Valve InsufficiencySurgery, Computer-AssistedVirtual RealityAnnuloplastyComputer-aided treatmentDSSMitralGeometric processingMitral valve insufficiencyVirtual downsizing

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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.