Evaluation of the CellaVision DM96 advanced RBC application for screening and follow-up of malaria infection

Lisa Florin, Karel Maelegheer, Astrid Muyldermans, Marjan Van Esbroeck, Eric Nulens, Jan Emmerechts

    Research output: Contribution to journalA1: Web of Science-article

    Abstract

    CellaVision DM96 is a digital cell morphology system for automated classification of white and red blood cells. CellaVision Advanced RBC application (ARBCA) pre-classifies RBC in 21 categories, including parasitized RBC, and allows re-classification by the operator. In this study, the performance of the software for detection of malaria and calculation of parasitemia was evaluated and compared to microscopy (n = 40). For CellaVision, both pre- and post-reclassification results were evaluated. Sensitivity was moderate, even post-reclassification (72%), due to low numbers of analyzed RBC and limited resolution of photographs. CellaVision results correlated with microscopy according to Passing-Bablok analysis, with slightly lower values for CellaVision. Within-run, between-run and inter-observer variability were acceptable. The low sensitivity of CellaVision ARBCA precludes its use as a screening technique for malaria. However, due to its good correlation with microscopy and short turnaround-times, it may be useful in follow-up of parasitemia. Larger studies are required to confirm these findings. (C) 2017 Elsevier Inc. All rights reserved.

    Original languageEnglish
    JournalDiagnostic Microbiology and Infectious Disease
    Volume90
    Issue number4
    Pages (from-to)253-256
    Number of pages4
    ISSN0732-8893
    DOIs
    Publication statusPublished - 2018

    Keywords

    • CellaVision
    • Malaria
    • Diagnosis
    • Parasitemia

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