Machine learning of native T1 mapping radiomics for classification of hypertrophic cardiomyopathy phenotypes

We explored whether radiomic features from T1 maps by cardiac magnetic resonance (CMR) could enhance the diagnostic value of T1 mapping in distinguishing health from disease and classifying cardiac disease phenotypes. A total of 149 patients (n = 30 with no heart disease, n = 30 with LVH, n = 61 wit...

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Detalles Bibliográficos
Autores principales: Antonopoulos, Alexios S., Boutsikou, Maria, Simantiris, Spyridon, Angelopoulos, Andreas, Lazaros, George, Panagiotopoulos, Ioannis, Oikonomou, Evangelos, Kanoupaki, Mikela, Tousoulis, Dimitris, Mohiaddin, Raad H., Tsioufis, Konstantinos, Vlachopoulos, Charalambos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654857/
https://www.ncbi.nlm.nih.gov/pubmed/34880319
http://dx.doi.org/10.1038/s41598-021-02971-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654857/
https://www.ncbi.nlm.nih.gov/pubmed/34880319
http://dx.doi.org/10.1038/s41598-021-02971-z

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