The use of smartphone-obtained images to extrapolate canine packed cell volume

J Vet Emerg Crit Care (San Antonio). 2020 Jul;30(4):426-435. doi: 10.1111/vec.12961. Epub 2020 Jun 16.

Abstract

Objective: To determine whether a smartphone-obtained image can be used to extrapolate the PCV of canine blood samples.

Design: Prospective study of surplus blood obtained from clinical cases.

Setting: University teaching hospital.

Interventions: Blood samples were placed on filter paper, and images were obtained with a smartphone in different environments. These results were then compared to the PCV measurements on the same samples following the World Health Organization guidelines.

Measurements: Sixty-nine samples were assessed and identified that smartphone images, obtained in a controlled environment, were able to predict the PCV of the samples. This prediction was most accurate when assessing samples of a normal erythroid mass or polycythemic samples.

Conclusions: The results of this study suggest that smartphone-obtained images do have a utility in predicting canine PCV. If this can be incorporated into a smartphone application, there would be scope to use this in low resource settings.

Keywords: anemia; diagnostics; hematocrit estimation.

MeSH terms

  • Animals
  • Cell Size
  • Dogs / blood*
  • Hematocrit / veterinary*
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Prospective Studies
  • Smartphone*