Evidence map›Paper›PMID 41624567›Full record

ReviewEuropean heart journal. Digital health2026

Digital twins and simulations in transcatheter coronary and structural heart interventions.

Ioannis Skalidis, Nikolaos Stalikas, Carlos Collet, Yiannis S Chatzizisis, Saurabhi Samant, Anastasios Apostolos, Grigorios Tsigkas, Juan F Iglesias, Diego Arroyo, Dorian Garin and 8 more

Abstract readReview
In one paragraph

Review in European heart journal. Digital health, 2026. 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

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  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

18 authors.

Ioannis SkalidisInstitut Cardiovasculaire Paris-Sud, Hôpital Jacques Cartier, Massy, France.ORCID https://orcid.org/0000-0002-4374-0389
Nikolaos StalikasDepartment of Cardiology, Cardiovascular Center OLV Hospital, Moorselbaan, Aalst, Belgium.
Carlos ColletDepartment of Cardiology, Cardiovascular Center OLV Hospital, Moorselbaan, Aalst, Belgium.ORCID https://orcid.org/0000-0003-0227-0082
Yiannis S ChatzizisisCenter for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, Leonard M. Miller School of Medicine, University of Miami, Miami, Florida, USA.
Saurabhi SamantCenter for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, Leonard M. Miller School of Medicine, University of Miami, Miami, Florida, USA.
Anastasios ApostolosFirst Department of Cardiology, Medical School National and Kapodistrian University of Athens, Hippokration General Hospital, Athens, Greece.ORCID https://orcid.org/0000-0003-2616-7952
Grigorios TsigkasDepartment of Cardiology, University Hospital of Patras, Patras, Greece.ORCID https://orcid.org/0000-0002-2779-0765
Juan F IglesiasDivision of Cardiology, University Hospital Geneva, Geneva, Switzerland.
Diego ArroyoDepartment of Cardiology, University and Hospital Fribourg, Fribourg, Switzerland.
Dorian GarinDepartment of Cardiology, University and Hospital Fribourg, Fribourg, Switzerland.
Stephane CookDepartment of Cardiology, University and Hospital Fribourg, Fribourg, Switzerland.
Adil SalihuService of Cardiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
David MeierService of Cardiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-5524-5844
Stephane FournierService of Cardiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-9422-9521
Thomas HovasseInstitut Cardiovasculaire Paris-Sud, Hôpital Jacques Cartier, Massy, France.ORCID https://orcid.org/0000-0002-1359-9185
Ole De BackerRigshospitalet, Copenhagen University Hospital, Inge Lehmanns Vej 7, 2100, Copenhagen, Denmark.
Philippe GarotInstitut Cardiovasculaire Paris-Sud, Hôpital Jacques Cartier, Massy, France.
Mariama AkodadInstitut Cardiovasculaire Paris-Sud, Hôpital Jacques Cartier, Massy, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital twin technology, which enables the creation of patient-specific virtual models, is increasingly applied in interventional cardiology to support personalized procedural planning and risk assessment. This review examines current applications of digital twins in coronary and structural heart interventions, including percutaneous coronary intervention (PCI), transcatheter aortic valve replacement (TAVR), transcatheter mitral valve replacement (TMVR), and left atrial appendage closure (LAAC). In coronary interventions, digital simulations based on computed tomography or angiography can estimate physiological indices, guide stent placement, and predict post-procedural hemodynamics. For structural interventions, simulation platforms generate 3D reconstructions from imaging data to model device-anatomy interactions, support valve sizing, and assess risks such as paravalvular leak or left ventricular outflow tract obstruction. Several tools are already integrated into clinical workflows, with growing evidence supporting their utility in improving planning accuracy and procedural outcomes. Nonetheless, broader adoption is limited by challenges related to model validation, data integration, workflow complexity, and regulatory constraints. In particular, validation remains difficult for procedures performed less frequently, such as TMVR. Ongoing developments in artificial intelligence and computational methods may enhance model speed and accuracy, enabling wider and more efficient clinical use. Digital twin technologies represent a promising direction for advancing precision medicine in transcatheter coronary and structural heart interventions.

Indexed as

Coronary interventionsDigital twinsInterventional cardiologySimulationsStructural heart interventions

Identifiers

PMID41624567
PMCPMC12853125

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.