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 |