Detection of Titin-Associated Electrocardiography Features in Dilated Cardiomyopathy Using Conventional and Deep Neural Network Analysis
Conventional ECG and DNN analyses demonstrated similar good predictive performance in distinguishing TTNtv from gene-elusive DCM patients, emphasizing their potential as clinical tools to guide targeted genetic testing.
Authors
- Job A.J. Verdonschot (ORCID: https://orcid.org/0000-0001-5549-1298)
- Nerea Mora Ayestarán (ORCID: https://orcid.org/0000-0002-2127-5287)
- René van Es (ORCID: https://orcid.org/0000-0001-9950-4388)
- Rutger R van de Leur (ORCID: https://orcid.org/0000-0002-4779-5870)
- Kevin Vernooy (ORCID: https://orcid.org/0000-0002-8818-5964)
- Max F.G.H.M. Venner (ORCID: https://orcid.org/0009-0001-2574-6672)
- Steven A. Muller (ORCID: https://orcid.org/0000-0002-2674-8709)
- Marisol Soria
- Saskia N. van der Crabben (ORCID: https://orcid.org/0000-0001-8619-1511)
- Pablo García‐Pavía (ORCID: https://orcid.org/0000-0002-5470-2257)
- Natàlia Ramos (ORCID: https://orcid.org/0000-0001-9832-326X)
- Stéphane Heymans (ORCID: https://orcid.org/0000-0001-9477-7803)
- Esther González-López
- Rachel M.A. ter Bekke (ORCID: https://orcid.org/0000-0003-4278-0132)
- Anneline S.J.M. te Riele (ORCID: https://orcid.org/0000-0002-4694-4790)
- Ping Wang (ORCID: https://orcid.org/0000-0002-8876-4210)
- Sophie L V M Stroeks
- Nina J Beelen (ORCID: https://orcid.org/0009-0008-0605-4604)
- Astrid B M Heymans (ORCID: https://orcid.org/0009-0008-0030-6444)
- Isa M E Faassen (ORCID: https://orcid.org/0009-0009-4784-6189)
Institutions
- Maastricht University Medical Centre (NL)
- University Medical Center Utrecht (NL)
- Maastricht University (NL)
- Hospital Universitario Puerta de Hierro Majadahonda (ES)
- Centro de Investigación Biomédica en Red (ES)
- ERN GUARD-Heart (NL)
Publication Details
- Journal
- JACC. Clinical electrophysiology
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1016/j.jacep.2025.10.006
- Primary Topic
- Cardiomyopathy and Myosin Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00