Diagnostic performance evaluation of the Siemens Healthineers Atellica HEMA 580 hematology analyzer for abnormal cell detection and optimization of immature myeloid cell cut-offs

The Atellica HEMA 580 provided reliable performance in detecting immature myeloid cells and NRBCs. The IMG cut-off >0.8, determined through ROC optimization, supports its implementation for enhancing laboratory workflow efficiency while maintaining diagnostic accuracy. These findings support the clinical implementation of the Atellica HEMA 580 for routine hematology laboratories, particularly for enhanced detection of clinically significant immature myeloid populations.

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Publication Details

Journal
Clinical Chemistry and Laboratory Medicine (CCLM)
Published
2026-03-02
DOI
https://doi.org/10.1515/cclm-2026-0083
Primary Topic
Clinical Laboratory Practices and Quality Control
Type
article
Field-Weighted Citation Impact
0.00
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article

Diagnostic performance evaluation of the Siemens Healthineers Atellica HEMA 580 hematology analyzer for abnormal cell detection and optimization of immature myeloid cell cut-offs

Vincenzo De Iuliis
Clinical Chemistry and Laboratory Medicine (CCLM)
Clinical Laboratory Practices and Quality Control
article

Diagnostic performance evaluation of the Siemens Healthineers Atellica HEMA 580 hematology analyzer for abnormal cell detection and optimization of immature myeloid cell cut-offs

Vincenzo De Iuliis
article en

Abstract

The Atellica HEMA 580 provided reliable performance in detecting immature myeloid cells and NRBCs. The IMG cut-off >0.8, determined through ROC optimization, supports its implementation for enhancing laboratory workflow efficiency while maintaining diagnostic accuracy. These findings support the clinical implementation of the Atellica HEMA 580 for routine hematology laboratories, particularly for enhanced detection of clinically significant immature myeloid populations.

Clinical Chemistry and Laboratory Medicine (CCLM)
Nini Hospital (LB)
Industry, innovation and infrastructure
Openalex Percentile: Top 36%
Clinical Laboratory Practices and Quality Control
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