Evidence map›Paper›PMID 31218472›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

User-dependent variability in mitral valve segmentation and its impact on CFD-computed hemodynamic parameters.

Katharina Vellguth, Jan Brüning, Lennart Tautz, Franziska Degener, Isaac Wamala, Simon Sündermann, Ulrich Kertzscher, Titus Kuehne, Anja Hennemuth, Volkmar Falk and 1 more

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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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Article
  2. Clinical Impact of Computational Heart Valve Models.Materials (Basel, Switzerland) · 2022
    Review
  3. Article
  4. Article
  5. Article
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

11 authors.

Katharina VellguthCharité - Universitätsmedizin Berlin, Berlin, Germany. katharina.vellguth@charite.de.ORCID http://orcid.org/0000-0002-2293-0730
Jan BrüningCharité - Universitätsmedizin Berlin, Berlin, Germany.
Lennart TautzCharité - Universitätsmedizin Berlin, Berlin, Germany.
Franziska DegenerCharité - Universitätsmedizin Berlin, Berlin, Germany.
Isaac WamalaGerman Heart Institute Berlin - DHZB, Berlin, Germany.
Simon SündermannCharité - Universitätsmedizin Berlin, Berlin, Germany.
Ulrich KertzscherCharité - Universitätsmedizin Berlin, Berlin, Germany.
Titus KuehneCharité - Universitätsmedizin Berlin, Berlin, Germany.
Anja HennemuthCharité - Universitätsmedizin Berlin, Berlin, Germany.
Volkmar FalkCharité - Universitätsmedizin Berlin, Berlin, Germany.
Leonid GoubergritsCharité - Universitätsmedizin Berlin, Berlin, Germany.

Funding

Bundesministerium für Bildung und Forschung (DE) 03VP00851H2020 European Research Council 689617
6 · The paper itself

Abstract

purposeWhile novel tools for segmentation of the mitral valve are often based on automatic image processing, they mostly require manual interaction by a proficient user. Those segmentations are essential for numerical support of mitral valve treatment using computational fluid dynamics, where the reconstructed geometry is incorporated into a simulation domain. To quantify the uncertainty and reliability of hemodynamic simulations, it is crucial to examine the influence of user-dependent variability in valve segmentation.

methodsPreviously, the inter-user variability of landmarks in mitral valve segmentation was investigated. Here, the inter-user variability of geometric parameters of the mitral valve, projected orifice area (OA) and projected annulus area (AA), is investigated for 10 mitral valve geometries, each segmented by three users. Furthermore, the propagation of those variations into numerically calculated hemodynamics, i.e., the blood flow velocity, was investigated.

resultsAmong the three geometric valve parameters, AA was least user-dependent. Almost all deviations to the mean were below 10%. Larger variations were observed for OA. Variations observed for the numerically calculated hemodynamics were in the same order of magnitude as those of geometric parameters. No correlation between variation of geometric parameters and variation of calculated hemodynamic parameters was found.

conclusionErrors introduced due to the user-dependency were of the same size as the variations of calculated hemodynamics. The variation was thereby of the same scale as deviations in clinical measurements of blood flow velocity using Doppler echocardiography. Since no correlation between geometric and hemodynamic uncertainty was found, further investigation of the complex relationship between anatomy, leaflet shape and flow is necessary.

Indexed as

AdultAgedAlgorithmsBlood Flow VelocityComputational BiologyFemaleHemodynamicsHumansImage Processing, Computer-AssistedMaleMiddle AgedMitral ValveMitral Valve InsufficiencyReproducibility of ResultsCFDHemodynamicImage segmentationMitral valvePatient specificUncertaintyVirtual treatment planning

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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.