Automated and quantitative assessment of aortic root based on cardiac computed tomography angiography using a new deep-learning tool: a comparison study
The DL method offers an effective and efficient tool for the quantification of aortic roots for TAVR planning.
Authors
- Ahmed Elkoumy (ORCID: https://orcid.org/0000-0002-6325-1056)
- Lianpin Wu (ORCID: https://orcid.org/0000-0001-9971-2654)
- Xiaodong Wang (ORCID: https://orcid.org/0009-0005-3788-7420)
- Yiqiu Jiang (ORCID: https://orcid.org/0000-0002-9709-1070)
- Osama I.I. Soliman (ORCID: https://orcid.org/0000-0003-0758-3539)
- Xinmin Zhang (ORCID: https://orcid.org/0000-0001-5584-2107)
- Xinlei Wu
- Jinyun Zhu
- Haorui Huang
- He Zou
- Youxian Shen
- Mattia Lunadi
Institutions
- Università Cattolica del Sacro Cuore (IT)
- Al-Azhar University (EG)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-11-21
- DOI
- https://doi.org/10.21037/qims-24-650
- Citations
- 1
- Primary Topic
- Aortic aneurysm repair treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.42
Funders
- National Natural Science Foundation of China
- Wenzhou Municipal Science and Technology Bureau
- Medical Science and Technology Project of Zhejiang Province
- Natural Science Foundation of Zhejiang Province
- Science and Technology Program of Zhejiang Province