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Article

Machine-learning phenotypic classification of bicuspid aortopathy.

The Journal of thoracic and cardiovascular surgery - 1 Feb 2018

Wojnarski Charles M, Roselli Eric E, Idrees Jay J, Zhu Yuanjia, Carnes Theresa A, Lowry Ashley M, Collier Patrick H, Griffin Brian, Ehrlinger John, Blackstone Eugene H, Svensson Lars G, Lytle Bruce W

Abstract excerpt

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. METHODS: We analyzed preoperative 3-dimensional computed tomography reconstructions for 656 patients with BAV undergoing ascending...

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Topics

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Share to Aortic Aneurysm
Share to Aortic Valve

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Aortic Valve Stenosis

Share to Bicuspid Aortic Valve Disease

Share to Computed Tomography Angiography

Share to Diagnosis, Computer-Assisted

Share to Heart Valve Diseases

Share to Pattern Recognition, Automated

Source

Identifiers

PMID: 29042101
DOI: 10.1016/j.jtcvs.2017.08.123

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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