Machine-learning phenotypic classification of bicuspid aortopathy.

Journal: The Journal of thoracic and cardiovascular surgery

PMID: 29042101

Abstract

BACKGROUND: Bicuspid aortic valves (BAV) are associated with incompletely characterized aortopathy. Our objectives were to identify distinct patterns of aortopathy using machine-learning methods and characterize their association with valve morphology and patient characteristics.

Authors

Charles M Wojnarski

Department of Thoracic and Cardiovascular Surgery, Miller Family Heart and Vascular Institute, Cleveland, Ohio.
Eric E Roselli

Department of Thoracic and Cardiovascular Surgery, Miller Family Heart and Vascular Institute, Cleveland, Ohio; Aortic Center, Miller Family Heart and Vascular Institute, Cleveland, Ohio. Electronic address: roselle@ccf.org.
Jay J Idrees

Department of Thoracic and Cardiovascular Surgery, Miller Family Heart and Vascular Institute, Cleveland, Ohio.
Yuanjia Zhu

Cleveland Clinic Lerner College of Medicine, Cleveland, Ohio.
Theresa A Carnes

Department of Quantitative Health Sciences, Research Institute, Cleveland Clinic, Cleveland, Ohio.
Ashley M Lowry

Department of Quantitative Health Sciences, Research Institute, Cleveland Clinic, Cleveland, Ohio.
Patrick H Collier

Aortic Center, Miller Family Heart and Vascular Institute, Cleveland, Ohio; Department of Cardiovascular Medicine, Miller Family Heart and Vascular Institute, Cleveland, Ohio.
Brian Griffin

Aortic Center, Miller Family Heart and Vascular Institute, Cleveland, Ohio; Department of Cardiovascular Medicine, Miller Family Heart and Vascular Institute, Cleveland, Ohio.
John Ehrlinger

Department of Quantitative Health Sciences, Cleveland Clinic.
Eugene H Blackstone

Department of Heart and Vascular Institute, Cleveland Clinic.
Lars G Svensson

Department of Thoracic and Cardiovascular Surgery, Miller Family Heart and Vascular Institute, Cleveland, Ohio; Aortic Center, Miller Family Heart and Vascular Institute, Cleveland, Ohio.
Bruce W Lytle

Department of Thoracic and Cardiovascular Surgery, Miller Family Heart and Vascular Institute, Cleveland, Ohio.

Keywords

Adult Aged Aorta, Thoracic Aortic Aneurysm Aortic Valve Aortic Valve Insufficiency Aortic Valve Stenosis Aortography Bicuspid Aortic Valve Disease Computed Tomography Angiography Cross-Sectional Studies Diagnosis, Computer-Assisted Female Heart Valve Diseases Humans Machine Learning Male Middle Aged Pattern Recognition, Automated Phenotype Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Sinus of Valsalva

External Resources

View on PubMed Access via DOI PubMed (29042101)

Machine-learning phenotypic classification of bicuspid aortopathy.

Abstract

Authors

Keywords

External Resources

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