Multi-modality artificial intelligence-based transthyretin amyloid cardiomyopathy detection in patients with severe aortic stenosis
Artificial intelligence-based models using collected pre-TAVI evaluation data can effectively detect ATTR-CM in patients with severe AS, offering an alternative diagnostic strategy to scintigraphy and myocardial biopsy.
Authors
- Benedikt Bernhard (ORCID: https://orcid.org/0000-0002-0996-9681)
- Isaac Shiri (ORCID: https://orcid.org/0000-0002-5735-0736)
- Sebastian Balzer
- Giulia Barbati (ORCID: https://orcid.org/0000-0001-8942-5686)
- Daijiro Tomii (ORCID: https://orcid.org/0000-0002-4488-1335)
- Thomas Pilgrim (ORCID: https://orcid.org/0000-0001-8721-4068)
- Moritz Hundertmark (ORCID: https://orcid.org/0000-0002-5475-7987)
- Masaaki Nakase (ORCID: https://orcid.org/0000-0002-5359-8494)
- Jonas Lanz (ORCID: https://orcid.org/0000-0002-5035-6625)
- Giovanni Baj (ORCID: https://orcid.org/0009-0001-5445-6770)
- Adam Bakula (ORCID: https://orcid.org/0000-0002-5657-0032)
- Christoph Gräni (ORCID: https://orcid.org/0000-0001-6029-0597)
- Stephan Windecker (ORCID: https://orcid.org/0000-0003-2653-6762)
- Stephan Dobner (ORCID: https://orcid.org/0000-0003-2220-9799)
- Waldo Valenzuela (ORCID: https://orcid.org/0000-0002-6629-3366)
- Stefan Stortecky (ORCID: https://orcid.org/0000-0002-5076-0177)
- Federico Caobelli (ORCID: https://orcid.org/0000-0003-2472-775X)
- Axel Rominger (ORCID: https://orcid.org/0000-0002-1954-736X)
- George C.M. Siontis (ORCID: https://orcid.org/0000-0003-2128-9205)
Institutions
- University of Bern (CH)
- University of Trieste (IT)
- University Hospital of Bern (CH)
Publication Details
- Journal
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2024-09-23
- DOI
- https://doi.org/10.1007/s00259-024-06922-4
- Citations
- 13
- Primary Topic
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 3.04