Echocardiography-based left ventricular mass estimation : how schould we define hypertrophy?
dc.contributor.author | Foppa, Murilo | pt_BR |
dc.contributor.author | Duncan, Bruce Bartholow | pt_BR |
dc.contributor.author | Rohde, Luis Eduardo Paim | pt_BR |
dc.date.accessioned | 2010-05-05T04:15:40Z | pt_BR |
dc.date.issued | 2005 | pt_BR |
dc.identifier.uri | http://hdl.handle.net/10183/21532 | pt_BR |
dc.description.abstract | Left ventricular hypertrophy is an important risk factor in cardiovascular disease and echocardiography has been widely used for diagnosis. Although an adequate methodologic standardization exists currently, differences in measurement and interpreting data is present in most of the older clinical studies. Variability in border limits criteria, left ventricular mass formulas, body size indexing and other adjustments affects the comparability among these studies and may influence both the clinical and epidemiologic use of echocardiography in the investigation of the left ventricular structure. We are going to review the most common measures that have been employed in left ventricular hypertrophy evaluation in the light of some recent population based echocardiographic studies, intending to show that echocardiography will remain a relatively inexpensive and accurate tool diagnostic tool. | en |
dc.format.mimetype | application/pdf | pt_BR |
dc.language.iso | eng | pt_BR |
dc.relation.ispartof | Cardiovascular ultrasound. London. Vol. 3, no. 17 (2005), [13] f. | pt_BR |
dc.rights | Open Access | en |
dc.subject | Ventrículos do coração | pt_BR |
dc.subject | Hipertrofia ventricular esquerda | pt_BR |
dc.subject | Interpretação de imagem assistida por computador | pt_BR |
dc.subject | Imageamento tridimensional | pt_BR |
dc.title | Echocardiography-based left ventricular mass estimation : how schould we define hypertrophy? | pt_BR |
dc.type | Artigo de periódico | pt_BR |
dc.identifier.nrb | 000528743 | pt_BR |
dc.type.origin | Estrangeiro | pt_BR |
Este item está licenciado na Creative Commons License

-
Artigos de Periódicos (42138)Ciências da Saúde (11388)