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Morphometric characteristics of red blood cells as diagnostic factors for coronary artery disease

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dc.contributor.author Alexandratou, E en
dc.contributor.author Yova, D en
dc.contributor.author Cokkinos, DV en
dc.date.accessioned 2014-03-01T02:41:36Z
dc.date.available 2014-03-01T02:41:36Z
dc.date.issued 1999 en
dc.identifier.issn 1386-0291 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30561
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-0033508688&partnerID=40&md5=8fa60e914b0832d8e5181e6113719790 en
dc.subject.classification Hematology en
dc.subject.classification Peripheral Vascular Disease en
dc.subject.other clinical article en
dc.subject.other conference paper en
dc.subject.other controlled study en
dc.subject.other coronary artery disease en
dc.subject.other diagnostic value en
dc.subject.other erythrocyte en
dc.subject.other human en
dc.subject.other statistical analysis en
dc.subject.other Biological Markers en
dc.subject.other Coronary Disease en
dc.subject.other Erythrocyte Deformability en
dc.subject.other Erythrocytes en
dc.subject.other Humans en
dc.subject.other Image Enhancement en
dc.title Morphometric characteristics of red blood cells as diagnostic factors for coronary artery disease en
heal.type conferenceItem en
heal.language English en
heal.publicationDate 1999 en
heal.abstract Digital imaging microscopy plays an important role in computer aided cytological and histological diagnosis. In this study, digital imaging microscopy was used to measure Red Blood Cells (RBCs) morphometric characteristics such as area, perimeter, major and minor axis length, elongation, compactness and roughness in both groups: healthy individuals and Coronary Artery Disease (CAD) patients. All the measured characteristics, except elongation, showed a statistically significant difference between the two groups. In particular, patients with CAD presented greater values than healthy ones. Finally multivariate analysis was used in order to take into account the whole measured profile of each patient: Compactness, perimeter and elongation improved the diagnostic ability, whereas all the others did not show any significant improvement. These three characteristics correctly classify the 84.5% of the patients. In conclusion, RBCs morphometric characteristics could be considered as diagnostic factors for CAD. en
heal.publisher IOS PRESS en
heal.journalName Clinical Hemorheology and Microcirculation en
dc.identifier.isi ISI:000085524300039 en
dc.identifier.volume 21 en
dc.identifier.issue 3-4 en
dc.identifier.spage 383 en
dc.identifier.epage 388 en


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