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Published on: January 28, 2020
Morphometric characteristics of red blood cells as diagnostic factors for coronary artery disease
E Alexandratou1, D Yova, D V Cokkinos
1Department of Electrical Engineering and Computing, National Technical University of Athens, Greece.
Insights
Digital imaging microscopy reveals distinct Red Blood Cell (RBC) shapes in Coronary Artery Disease (CAD) patients. RBC morphometrics can aid in diagnosing CAD, classifying 84.5% of patients accurately.
Area of Science:
- Medical imaging
- Hematology
- Cardiovascular disease diagnostics
Background:
- Computer-aided diagnosis leverages digital imaging microscopy for cytological and histological analysis.
- Red Blood Cell (RBC) morphology can be altered in various disease states.
Purpose of the Study:
- To investigate Red Blood Cell (RBC) morphometric differences between healthy individuals and Coronary Artery Disease (CAD) patients using digital imaging microscopy.
- To assess the diagnostic potential of RBC morphometric characteristics for CAD.
Main Methods:
- Digital imaging microscopy was employed to measure various RBC morphometric parameters.
- Key parameters included area, perimeter, major/minor axis length, elongation, compactness, and roughness.
- Multivariate analysis was utilized to evaluate the combined diagnostic capability of these parameters.
Main Results:
- Significant differences in RBC morphometric characteristics (except elongation) were observed between healthy individuals and CAD patients.
- CAD patients generally exhibited larger RBC morphometric values compared to healthy controls.
- Compactness, perimeter, and elongation, when analyzed together, improved diagnostic accuracy, correctly classifying 84.5% of patients.
Conclusions:
- RBC morphometric characteristics demonstrate statistically significant differences between healthy individuals and CAD patients.
- Specific RBC morphometric parameters, particularly compactness, perimeter, and elongation, show promise as diagnostic factors for Coronary Artery Disease (CAD).
- Further research into RBC morphometrics could lead to novel non-invasive diagnostic tools for CAD.
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.
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