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Establishment of Review Criteria Coordinating With the Automated Digital Cell Morphology Identification System in a
Yuefang Wang1, Lei Ye1, Lan Chen1
1Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, People's Republic of China.
Objective:
We aimed to establish appropriate review criteria for blood cell analysis in a specialized women's and children's hospital. Also, the CellaVision DI-60, was developed as one of the automated digital cell morphology analyzer, we evaluated if it was shown to be most effective under the certain review criteria.
Methods:
A total of 2890 blood samples were detected to optimize the previously established review criteria for women and children with the Sysmex XE-2100. A total of 623 samples were used to validate the criteria.
Results:
The microscopic-review rate based on the initial review criteria was 51.0%. After optimization, it was reduced to 17.3% and the false-negative rate was 3.85%. There was > 80% consistency between manual review results and CellaVision DI-60 preclassification when samples triggered the platelet- or red cell-related rules. The sensitivity for abnormalities (immature granulocytes, nucleated red blood cells) of reclassification was 90% to 100% and the false-negative rate was < 5%. However, direct microscopic review was required when the "Blasts/AbnLympho?" and "Atypical Lympho?" flags were triggered.
Conclusion:
Specialized review criteria are needed for women and children. An automated morphology identification system might help to improve the review criteria.
