Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study

PURPOSE: To determine if patient survival and mechanisms of right ventricular failure in pulmonary hypertension could be predicted by using supervised machine learning of three-dimensional patterns of systolic cardiac motion. MATERIALS AND METHODS: The study was approved by a research ethics committ...

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Detalles Bibliográficos
Autores principales: Dawes, Timothy J. W., de Marvao, Antonio, Shi, Wenzhe, Fletcher, Tristan, Watson, Geoffrey M. J., Wharton, John, Rhodes, Christopher J., Howard, Luke S. G. E., Gibbs, J. Simon R., Rueckert, Daniel, Cook, Stuart A., Wilkins, Martin R., O’Regan, Declan P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Radiological Society of North America 2017
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5398374/
https://www.ncbi.nlm.nih.gov/pubmed/28092203
http://dx.doi.org/10.1148/radiol.2016161315

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5398374/
https://www.ncbi.nlm.nih.gov/pubmed/28092203
http://dx.doi.org/10.1148/radiol.2016161315

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