Evidence map›Paper›PMID 42554293›Full record

ArticleCatheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions2026

Validation of an Automated Artificial Intelligence-Driven Planner for Transcatheter Aortic Valve Replacement.

Mark M P van den Dorpel, Lucas Uchoa de Assis, Jenna van Niekerk, Sophie Deckx, Matthew Sherman, Janelle Schrot, Anna Kozak, Isabella Kardys, Alexander Hirsch, Joost Daemen and 2 more

Abstract readValidation Study
In one paragraph

Article in Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

12 authors.

Mark M P van den DorpelDepartment of Cardiology, Cardiovascular Institute, Thoraxcenter, Erasmus Medical Center, Rotterdam, the Netherlands.ORCID https://orcid.org/0009-0003-2124-109X
Lucas Uchoa de AssisDepartment of Cardiology, Cardiovascular Institute, Thoraxcenter, Erasmus Medical Center, Rotterdam, the Netherlands.ORCID https://orcid.org/0009-0004-1273-3612
Jenna van NiekerkDepartment of Cardiology, Cardiovascular Institute, Thoraxcenter, Erasmus Medical Center, Rotterdam, the Netherlands.
Sophie DeckxMaterialise, Leuven, Belgium.
Matthew ShermanMaterialise, Leuven, Belgium.
Janelle SchrotMaterialise, Leuven, Belgium.
Anna KozakMaterialise, Leuven, Belgium.
Isabella KardysDepartment of Cardiology, Cardiovascular Institute, Thoraxcenter, Erasmus Medical Center, Rotterdam, the Netherlands.
Alexander HirschDepartment of Cardiology, Cardiovascular Institute, Thoraxcenter, Erasmus Medical Center, Rotterdam, the Netherlands.
Joost DaemenDepartment of Cardiology, Cardiovascular Institute, Thoraxcenter, Erasmus Medical Center, Rotterdam, the Netherlands.ORCID https://orcid.org/0000-0001-8628-1410
Rutger Jan NuisDepartment of Cardiology, Cardiovascular Institute, Thoraxcenter, Erasmus Medical Center, Rotterdam, the Netherlands.
Nicolas M Van MieghemDepartment of Cardiology, Cardiovascular Institute, Thoraxcenter, Erasmus Medical Center, Rotterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreprocedural planning with multislice computed tomography (MSCT) is an essential prerequisite for successful transcatheter aortic valve replacement (TAVR). However, preprocedural planning is time-consuming and may contain clinically meaningful interobserver variability. Artificial intelligence (AI) based automated planning methods may provide anatomical MSCT measurements while reducing the time load required for the analysis. Previous studies on the validation of AI-based TAVR planning methods excluded anatomical variants or lacked data on actual TAVR prosthesis size agreement. Mimics for TAVR (Materialise, Leuven, Belgium) is a new, AI-driven TAVR planning platform based on patient-specific 3D anatomical models and automated measurements through a web-based user interface.

aimsTo validate the Mimics for TAVR planning tool in clinical practice.

methodsKey planning assessments were performed on pre-TAVR MSCT datasets using Mimics for TAVR and a commercially available semi-automated software package. Agreement between the two planning methods was assessed using intraclass correlation coefficients and Bland-Altman plots.

resultsA total of 126 consecutive patients (mean age 80 [74-85]; 56% male) who underwent MSCT as part of their TAVR work-up were included. Mimics for TAVR derived measurements showcased high accuracy and excellent agreement for the area of the aortic annulus (mean error ± SD: -1.9 ± 3.3%, ICC: 0.976 [95% CI: 0.966-0.984]), left ventricular outflow (-2.7 ± 3.8%, ICC: 0.970 [0.957-0.983]), sinotubular junction (-2.6 ± 4.2%, ICC: 0.953 [0.921-0.971]), coronary heights (LCA -3.5 ± 4.8%, ICC: 0.900 (0.859-0.928). RCA -3.9 ± 4.7%, ICC: 0.928 [0.898-0.949]) and membranous septum length (-5.0 ± 9.2%, ICC: 0.919 [0.880-0.940]). Mimics for TAVR assessment significantly reduced the time required for pre-TAVR analysis (1.03 ± 0.15 min vs. 9.55 ± 3.16 min per case, respectively (p = 0.001).

conclusionThe automated AI-driven Mimics for TAVR planner is an accurate alternative to existing semiautomated TAVR planning platforms and may enhance overall workflow efficiency.

Indexed as

Aortic ValveAortic Valve StenosisArtificial IntelligenceMultidetector Computed TomographyPatient-Specific ModelingRadiographic Image Interpretation, Computer-AssistedTranscatheter Aortic Valve ReplacementAgedAged, 80 and overAutomationFemaleHeart Valve ProsthesisHumansMaleObserver VariationPredictive Value of Tests

Identifiers

PMID42554293
PMCPMC13667321

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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.