Thoracic Aortic Three-Dimensional Geometry
Our method provides a fully automated approach toward quantifying the three-dimensional structural parameters of the aorta. This approach expands the available phenotypes in two large representative biobanks and will allow large-scale studies to elucidate the biology and clinical consequences of aortic degeneration related to aging and disease states.
Authors
- Julio A. Chirinos (ORCID: https://orcid.org/0000-0001-9035-5670)
- James C. Gee (ORCID: https://orcid.org/0000-0002-2258-0187)
- Oday Salman (ORCID: https://orcid.org/0000-0002-8390-1036)
- Hannah Maynard (ORCID: https://orcid.org/0009-0006-8444-9906)
- Marie‐Joe Dib (ORCID: https://orcid.org/0000-0001-7591-5684)
- Jeffrey Duda (ORCID: https://orcid.org/0000-0002-5031-5735)
- Bingxin Zhao (ORCID: https://orcid.org/0000-0002-0979-7891)
- Cameron Beeche (ORCID: https://orcid.org/0000-0002-5781-8810)
- Walter R T Witschey (ORCID: https://orcid.org/0000-0003-1669-2120)
- Hamed Tavolinejad (ORCID: https://orcid.org/0000-0002-0244-5914)
- Joe David Azzo
Institutions
- Hospital of the University of Pennsylvania (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Pulse
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1159/000543613
- Citations
- 5
- Primary Topic
- Aortic aneurysm repair treatments
- Type
- article
- Field-Weighted Citation Impact
- 7.59
Funders
- University of Pennsylvania
- Regeneron Pharmaceuticals
- Georgia Clinical and Translational Science Alliance
- University of Pennsylvania Health System
- National Institutes of Health
- Perelman School of Medicine, University of Pennsylvania
- National Center for Advancing Translational Sciences