Evaluation of the Red Blood Cell Advanced Software Application on the CellaVision DM96.
Int J Lab Hematol
; 38(4): 366-74, 2016 Aug.
Article
en En
| MEDLINE
| ID: mdl-27199257
ABSTRACT
INTRODUCTION:
The CellaVision Advanced Red Blood Cell (RBC) Software Application is a new software for advanced morphological analysis of RBCs on a digital microscopy system. Upon automated precharacterization into 21 categories, the software offers the possibility of reclassification of RBCs by the operator. We aimed to define the optimal cut-off to detect morphological RBC abnormalities and to evaluate the precharacterization performance of this software.METHODS:
Thirty-eight blood samples of healthy donors and sixty-eight samples of hospitalized patients were analyzed. Different methodologies to define a cut-off between negativity and positivity were used. Sensitivity and specificity were calculated according to these different cut-offs using the manual microscopic method as the gold standard. Imprecision was assessed by measuring analytical within-run and between-run variability and by measuring between-observer variability.RESULTS:
By optimizing the cut-off between negativity and positivity, sensitivities exceeded 80% for 'critical' RBC categories (target cells, tear drop cells, spherocytes, sickle cells, and parasites), while specificities exceeded 80% for the other RBC morphological categories. Results of within-run, between-run, and between-observer variabilities were all clinically acceptable.CONCLUSION:
The CellaVision Advanced RBC Software Application is an easy-to-use software that helps to detect most RBC morphological abnormalities in a sensitive and specific way without increasing work load, provided the proper cut-offs are chosen. However, evaluation of the images by an experienced observer remains necessary.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Programas Informáticos
/
Eritrocitos
/
Microscopía
Tipo de estudio:
Evaluation_studies
/
Guideline
/
Observational_studies
Límite:
Humans
Idioma:
En
Revista:
Int J Lab Hematol
Asunto de la revista:
HEMATOLOGIA
Año:
2016
Tipo del documento:
Article
País de afiliación:
Bélgica