Artificial intelligence-based cardiac transthyretin amyloidosis detection and scoring in scintigraphy imaging: multi-tracer, multi-scanner, and multi-center development and evaluation study
In the current study, we developed and evaluated a fully automated pipeline to detect and score ATTR-CM using large multi-tracer, multi-scanner, and multi-center datasets, achieving high performance on total body images. This fully automated pipeline could lead to more timely and accurate diagnoses, ultimately improving patient outcomes.
Authors
- Yazdan Salimi (ORCID: https://orcid.org/0000-0002-1233-9576)
- Isaac Shiri (ORCID: https://orcid.org/0000-0002-5735-0736)
- Habib Zaidi (ORCID: https://orcid.org/0000-0001-7559-5297)
- René Nkoulou (ORCID: https://orcid.org/0000-0001-6192-0351)
- Moritz Hundertmark (ORCID: https://orcid.org/0000-0002-5475-7987)
- Ghasem Hajianfar (ORCID: https://orcid.org/0000-0001-5359-2407)
- Christoph Gräni (ORCID: https://orcid.org/0000-0001-6029-0597)
- Federico Caobelli (ORCID: https://orcid.org/0000-0003-2472-775X)
- Ismini Mainta (ORCID: https://orcid.org/0000-0001-5296-0116)
- Ahmad Bitarafan‐Rajabi (ORCID: https://orcid.org/0000-0002-1596-6292)
- Elsa Hervier
- Amirhossein Sanaat (ORCID: https://orcid.org/0000-0001-8437-2060)
- Zahra Mansouri (ORCID: https://orcid.org/0009-0003-0506-9488)
Institutions
- Obuda University (HU)
- University of Bern (CH)
- University Medical Center Groningen (NL)
- Iran University of Medical Sciences (IR)
- University of Groningen (NL)
- University of Southern Denmark (DK)
- University Hospital of Bern (CH)
- University Hospital of Geneva (CH)
- Shaheed Rajaei Cardiovascular Medical and Research Center (IR)
Publication Details
- Journal
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1007/s00259-025-07117-1
- Citations
- 4
- Primary Topic
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 3.22
Funders
- National Science Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Université de Genève