Evidence map›Paper›PMID 36509862›Full record

ArticleScientific reports2022

Impact of observer experience on multi-detector computed tomography aortic valve morphology assessment and valve size selection for transcatheter aortic valve replacement.

Ruben Evertz, Sebastian Hub, Johannes T Kowallick, Tim Seidler, Bernhard C Danner, Gerd Hasenfuß, Karl Toischer, Andreas Schuster

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. AI-assisted computed tomography analysis for pre-procedural planning prior to TAVI.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Article
  2. 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

8 authors at 1 institution in 1 country.

Ruben EvertzDepartment of Cardiology and Pneumology, Georg-August-University Göttingen, University Medical Center Göttingen (UMG), Göttingen, Germany.ORCID 0000-0002-5904-4652
Sebastian HubDepartment of Cardiology and Pneumology, Georg-August-University Göttingen, University Medical Center Göttingen (UMG), Göttingen, Germany.
Johannes T KowallickGerman Center for Cardiovascular Research (DZHK), Göttingen, Germany.
Tim SeidlerDepartment of Cardiology and Pneumology, Georg-August-University Göttingen, University Medical Center Göttingen (UMG), Göttingen, Germany.
Bernhard C DannerGerman Center for Cardiovascular Research (DZHK), Göttingen, Germany.
Gerd HasenfußDepartment of Cardiology and Pneumology, Georg-August-University Göttingen, University Medical Center Göttingen (UMG), Göttingen, Germany.
Karl ToischerDepartment of Cardiology and Pneumology, Georg-August-University Göttingen, University Medical Center Göttingen (UMG), Göttingen, Germany.
Andreas SchusterDepartment of Cardiology and Pneumology, Georg-August-University Göttingen, University Medical Center Göttingen (UMG), Göttingen, Germany. andreas_schuster@gmx.net.ORCID 0000-0003-1508-1125
Universitätsmedizin Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcatheter aortic valve replacement (TAVR) has become the standard treatment for aortic stenosis in older patients. It increasingly relies on accurate pre-procedural planning using multidetector computed tomography (MDCT). Since little is known about the required competence levels for MDCT analyses, we comprehensively assessed MDCT TAVR planning reproducibility and accuracy with regard to valve selection in various healthcare workers. 20 randomly selected MDCT of TAVR patients were analyzed using dedicated software by healthcare professionals with varying backgrounds and experience (two structural interventionalists, one imaging specialist, one cardiac surgeon, one general physician, and one medical student). Following the analysis, the most appropriate Edwards SAPIEN 3™ and Medtronic CoreValve valve size was selected. Intra- and inter-observer variability were assessed. The first structural interventionalist was considered as reference standard for inter-observer comparison. Excellent intra- and inter-observer variability was found for the entire group in regard to the MDCT measurements. The best intra-observer agreement and reproducibility were found for the structural interventionalist, while the medical student had the lowest reproducibility. The highest inter-observer agreement was between both structural interventionalists, followed by the imaging specialist. As to valve size selection, the structural interventionalist showed the highest intra-observer reproducibility, independent of the brand of valve used. Compared to the reference structural interventionalist, the second structural interventionalist showed the highest inter-observer agreement for valve size selection [ICC 0.984, 95% CI 0.969-0.991] followed by the cardiac surgeon [ICC 0.947, 95%CI 0.900-0.972]. The lowest inter-observer agreement was found for the medical student [ICC 0.507, 95%CI 0.067-0.739]. While current state-of-the-art MDCT analysis software provides excellent reproducibility for anatomical measurements, the highest levels of confidence in terms of valve size selection were achieved by the performing interventional physicians. This was most likely attributable to observer experience.

Indexed as

Aortic Valve StenosisHeart Valve ProsthesisTranscatheter Aortic Valve ReplacementAgedAortic ValveHumansMultidetector Computed TomographyObserver VariationPredictive Value of TestsProsthesis DesignReproducibility of ResultsRetrospective Studies

Identifiers

PMID36509862
PMCPMC9744877
OpenAlexW4311669639

What OpenQuestion holds

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Registered trials

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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.