Artificial intelligence-based identification of thin-cap fibroatheroma: a new paradigm for risk stratification?
The concept of thin-cap fibroatheroma (TCFA) emerged from seminal histopathology studies defining a vulnerable plaque as a lesion containing >40% lipid content with an overlying fibrous cap with thickness <65 m. 1 This 65 m cut-off represents the 95th percentile of fibrous cap thickness measurements from histologically confirmed ruptured plaques (mean SD: 23 19 m). 2 This histology definition was Graphical
Authors
- Lorenz Räber (ORCID: https://orcid.org/0000-0003-0824-3026)
- Ik–Kyung Jang (ORCID: https://orcid.org/0000-0002-5796-3006)
- Jinho Lee (ORCID: https://orcid.org/0000-0003-3946-3478)
Institutions
- University of Bern (CH)
- Harvard University (US)
- University Hospital of Bern (CH)
- Massachusetts General Hospital (US)
- Kyung Hee University Medical Center (KR)
Publication Details
- Journal
- European Heart Journal
- Published
- 2025-08-16
- DOI
- https://doi.org/10.1093/eurheartj/ehaf662
- Citations
- 1
- Primary Topic
- Sarcoma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- Gray Foundation