title: Performance evaluation of the CellaVision DM96 system: WBC differentials by automated digital image analysis supported by an artificial neural network.
abstract: We evaluated the CellaVision DM96 (CellaVision AB, Lund, Sweden), an automated digital cell morphology and informatics system for peripheral blood smears. Technologists agreed with 82% of the instrument's preclassifications. Correlation coefficients between final results released from the CellaVision and results obtained by direct microscopy were 0.96 (all neutrophils), 0.94 (lymphocytes), 0.88 (segmented neutrophils), 0.73 (eosinophils), 0.69 (bands), and 0.67 (monocytes). After correction for statistically and clinically insignificant variations, the CellaVision DM96 had 95% sensitivity and 88% specificity for immature myeloid cells. It was 100% sensitive and 94% specific for blasts, and 100% sensitive and 97% specific for unusual WBCs and nucleated RBCs. Advantages of the CellaVision DM96 over direct microscopy include the ability to review slides from a remote location, consultation and quality control on a cell-by-cell basis, and potential labor savings.
authors.affiliation: Department of Pathology, Division of Laboratory Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
authors.forename: Alexander
authors.initials: A
authors.lastname: Kratz
authors.forename: Hans-Inge
authors.initials: HI
authors.lastname: Bengtsson
authors.forename: Jeanne E
authors.initials: JE
authors.lastname: Casey
authors.forename: Joan M
authors.initials: JM
authors.lastname: Keefe
authors.forename: Gail H
authors.initials: GH
authors.lastname: Beatrice
authors.forename: Debera Y
authors.initials: DY
authors.lastname: Grzybek
authors.forename: Kent B
authors.initials: KB
authors.lastname: Lewandrowski
authors.forename: Elizabeth M
authors.initials: EM
authors.lastname: Van Cott
mesh_terms: D003362:Cost-Benefit Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007256:Information Systems; D007958:Leukocyte Count / Q000379:methods*; D013677:Medical Laboratory Science; D008853:Microscopy; D016571:Neural Networks, Computer; D010976:Platelet Count