ArticleEuropean heart journal. Imaging methods and practice2026
Artificial intelligence based fusion imaging streamlining mitral transcatheter edge-to-edge repair.
Article in European heart journal. Imaging methods and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed.
- Intraprocedural echocardiographic guidance in transcatheter mitral valve interventions: from procedure-specific workflows to integrated multimodal platforms.Journal of cardiovascular imaging · 2026Review
- Transoesophageal echocardiography as complementary imaging during pulsed field ablation of atrial fibrillation: a practical step-by-step approach.European heart journal. Imaging methods and practice · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aims: Precise imaging is critical for procedural success in mitral transcatheter edge-to-edge repair (M-TEER), yet conventional fluoroscopy and echocardiography may lead to miscommunication and suboptimal device placement. The aim was to test the clinical utility of DeviceGuide EchoNavigator SmartVue (Philips Healthcare), a novel artificial intelligence-based fusion imaging software that automatically tracks the PASCAL Ace device and aligns live 3D transoesophageal echocardiography with fluoroscopy. Methods and results: In this prospective multi-centre study, DeviceGuide was evaluated in four structural heart centres in the USA, The Netherlands, and Switzerland in consecutive patients undergoing M-TEER with the PASCAL Ace device. Dedicated imaging modes support the procedure: target mode with trajectory overlays for real-time navigation, and a device mode that delivers continuous, auto-centred and auto-aligned device visualization throughout leaflet capture and closure. Interventional teams completed a structured qualitative questionnaire focusing on workflow, team discussions on optimal trajectory, perceived image quality and stability, and overall usefulness of the software during key procedural stages. Among 51 DeviceGuide-assisted M-TEER procedures, clinical teams rated the software as helpful or very helpful in guiding the intervention in most cases and reported improved discussion of optimal strategy. Main perceived advantages over conventional imaging were enhanced awareness and real-time feedback on trajectory and automated 3D-TEE views with continuous, auto-aligned device imaging during implantation. Conclusion: This AI-based fusion imaging approach demonstrated high perceived utility during M-TEER with PASCAL Ace and appeared to streamline workflow and team communication, supporting further studies to determine its impact on clinical outcomes.
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Registered trials
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.