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Evaluation of the CellaVision Advanced RBC Application for Detecting Red Blood Cell Morphological Abnormalities

Authors
Park, Seong JunYoon, JungKwon, Jung AhYoon, Soo-Young
Issue Date
Jan-2021
Publisher
KOREAN SOC LABORATORY MEDICINE
Keywords
Red blood cell; Morphology; Advanced RBC Application; CellaVision DM9600; International Council for Standardization in Haematology guidelines
Citation
ANNALS OF LABORATORY MEDICINE, v.41, no.1, pp.44 - 50
Indexed
SCIE
SCOPUS
KCI
Journal Title
ANNALS OF LABORATORY MEDICINE
Volume
41
Number
1
Start Page
44
End Page
50
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/50190
DOI
10.3343/alm.2021.41.1.44
ISSN
2234-3806
Abstract
Background: The Advanced RBC Application of the CellaVision DM9600 system (CellaVision AB, Lund, Sweden) automatically characterizes and classifies red blood cells (RBCs) into 21 morphological categories based on their size, color, shape, and inclusions. We evaluated the diagnostic performance of the CellaVision Advanced RBC Application with respect to the classification and grading of RBC morphological abnormalities in accordance with the 2015 International Council for Standardization in Haematology (ICSH) guidelines. Methods: A total of 223 samples, including 123 with RBC morphological abnormalities and 100 from healthy controls, were included. Seven RBC morphological abnormalities and their grading obtained with CellaVision DM9600 pre- and post-classification were compared with the results obtained using manual microscopic examination. The grading cut-off percentages were determined in accordance with the 2015 ICSH guidelines. The sensitivity and specificity of the CellaVision DM9600 system were evaluated using the manual microscopic examination results as a true positive. Results: In pre-classification, >90% sensitivity was observed for target cells, tear drop cells, and schistocytes, while >90% specificity was observed for acanthocytes, spherocytes, target cells, and tear drop cells. In post-classification, the detection sensitivity and specificity of most RBC morphological abnormalities increased, except for schistocytes (sensitivity) and acanthocytes (specificity). The grade agreement rates ranged from 35.9% (echinocytes) to 89.7% (spherocytes) in pre-classification and from 46.2% (echinocytes) to 90.1% (spherocytes) in post-classification. The agreement rate of samples with withinone grade difference exceeded 90% in most categories, except for schistocytes and echinocytes. Conclusions: The Advanced RBC Application of CellaVision DM9600 is a valuable screening tool for detecting RBC morphological abnormalities.
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