Establishment of Review Criteria Coordinating With the Automated Digital Cell Morphology Identification System in a Specialized Women’s and Children’s Hospital

Abstract

Abstract 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.