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Machine learning evaluation of LV outflow obstruction in hypertrophic cardiomyopathy using three-cha...

Machine learning evaluation of LV outflow obstruction in hypertrophic cardiomyopathy using three-cha...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9708771

Machine learning evaluation of LV outflow obstruction in hypertrophic cardiomyopathy using three-chamber cardiovascular magnetic resonance

About this item

Full title

Machine learning evaluation of LV outflow obstruction in hypertrophic cardiomyopathy using three-chamber cardiovascular magnetic resonance

Publisher

Dordrecht: Springer Netherlands

Journal title

The international journal of cardiovascular imaging, 2022-12, Vol.38 (12), p.2695-2705

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Netherlands

More information

Scope and Contents

Contents

Left ventricular outflow tract obstruction (LVOTO) is common in hypertrophic cardiomyopathy (HCM), but relationships between anatomical metrics and obstruction are poorly understood. We aimed to develop machine learning methods to evaluate LVOTO in HCM patients and quantify relationships between anatomical metrics and obstruction. This retrospectiv...

Alternative Titles

Full title

Machine learning evaluation of LV outflow obstruction in hypertrophic cardiomyopathy using three-chamber cardiovascular magnetic resonance

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9708771

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9708771

Other Identifiers

ISSN

1875-8312,1569-5794

E-ISSN

1875-8312,1573-0743

DOI

10.1007/s10554-022-02724-7

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