Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning

OBJECTIVE: We aimed to develop a prediction model for diagnosing severe aortic stenosis (AS) using computed tomography (CT) radiomics features of aortic valve calcium (AVC) and machine learning (ML) algorithms. MATERIALS AND METHODS: We retrospectively enrolled 408 patients who underwent cardiac CT...

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Detalles Bibliográficos
Autores principales: Kang, Nam gyu, Suh, Young Joo, Han, Kyunghwa, Kim, Young Jin, Choi, Byoung Wook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2021
Materias:
Cardiovascular Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909863/
https://www.ncbi.nlm.nih.gov/pubmed/33236537
http://dx.doi.org/10.3348/kjr.2020.0099

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909863/
https://www.ncbi.nlm.nih.gov/pubmed/33236537
http://dx.doi.org/10.3348/kjr.2020.0099

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