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 language | English |
|---|---|
| Journal | Diagnostic Microbiology and Infectious Disease |
| Volume | 90 |
| Issue number | 4 |
| Pages (from-to) | 253-256 |
| Number of pages | 4 |
| ISSN | 0732-8893 |
| DOIs | |
| Publication status | Published - 2018 |
Keywords
- CellaVision
- Malaria
- Diagnosis
- Parasitemia
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