Breheny Craig R, Kinsey Steven E, Gow Adam G
Royal (Dick) School of Veterinary Studies, Midlothian, Scotland.
Simon Laird Associates, Edinburgh, Scotland.
J Vet Emerg Crit Care (San Antonio). 2020 Jul;30(4):426-435. doi: 10.1111/vec.12961. Epub 2020 Jun 16.
To determine whether a smartphone-obtained image can be used to extrapolate the PCV of canine blood samples.
Prospective study of surplus blood obtained from clinical cases.
University teaching hospital.
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.
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.
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.
确定通过智能手机获取的图像是否可用于推断犬类血液样本的红细胞压积(PCV)。
对临床病例剩余血液进行的前瞻性研究。
大学教学医院。
将血液样本置于滤纸上,在不同环境下用智能手机获取图像。然后按照世界卫生组织指南,将这些结果与相同样本的PCV测量值进行比较。
评估了69个样本,发现在受控环境下获取的智能手机图像能够预测样本的PCV。在评估正常红细胞量样本或红细胞增多症样本时,这种预测最为准确。
本研究结果表明,通过智能手机获取的图像在预测犬类PCV方面确实有用。如果能将其整合到智能手机应用程序中,在资源匮乏地区使用将具有可行性。