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A machine learning approach for predicting descending thoracic aortic diameter
BACKGROUND: To establish models for predicting descending thoracic aortic diameters and provide evidence for selecting the size of the stent graft for TBAD patients. METHODS: A total of 200 candidates without severe deformation of aorta were included. CTA information was collected and 3D reconstruct...
Autores principales: | Yu, Ronghuang, Jin, Min, Wang, Yaohui, Cai, Xiujuan, Zhang, Keyin, Shi, Jian, Zhou, Zeyi, Fan, Fudong, Pan, Jun, Zhou, Qing, Tang, Xinlong, Wang, Dongjin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969122/ https://www.ncbi.nlm.nih.gov/pubmed/36860275 http://dx.doi.org/10.3389/fcvm.2023.1097116 |
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