DVM Dx

bridging the diagnostic gap

Authors

  • Dalen Agnew Michigan State University College of Veterinary Medicine, East Lansing, MI 48895
  • Dan Grooms Michigan State University College of Veterinary Medicine, East Lansing, MI 48895
  • Chris Stretton Michigan State University College of Veterinary Medicine, East Lansing, MI 48895
  • Mike Bolton Merck Animal Health, Desoto, KS 66018
  • Scott Nordstrom Merck Animal Health, Desoto, KS 66018
  • Tyson Hartshorn New Planet Technologies, Inc., Colorado Springs, CO
  • Ashley Gaudet Feedlot Health Management, Inc., Okotoks, AL, Canada

DOI:

https://doi.org/10.21423/aabppro20153564

Keywords:

cattle, feedlot, digital imaging, DVMDx

Abstract

"True knowledge lies at the dead pile." First heard from Dr. Eugene Janzen, but likely quoted many times by cattle veterinarians! The digital revolution provides new tools with the potential to change how necropsies are conducted; however, these tools' validity must be tested. As a project of Merck Animal Health, a mobile and web-based application was designed to systematically collect digital necropsy images, making them available to diagnosticians. DVMDx is based on proprietary digital and web-based diagnostic systems used for 20 years by Feedlot Health Management Services Ltd. To validate this system, trained veterinary students followed a prescribed digital necropsy protocol on 192 cattle from feedlots and calf ranches with clinical respiratory disease. In parallel, tissues samples were submitted to a diagnostic laboratory for histopathological and microbiological evaluation. Veterinarians experienced in interpreting digital images provided a single "most likely” syndromic diagnosis which was compared to laboratory and microscopic findings. An antemortem diagnosis of respiratory disease was confirmed by gross image analysis in 90%, and by laboratory testing in 94%, of the cases. Digital and laboratory diagnoses agreed in 79% of the cases when the primary diagnoses were compared, and 88% when all diagnoses were compared. When the syndromic diagnosis predicted the etiology based on digital images, Histophilus somni and Mycoplasma bovis were confirmed in 25% and 100% of the cases, respectively. These data support the further refinement of this tool, which has the potential to significantly increase the number of animals receiving cost-effective and diagnostic postmortem inspections.

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Published

2015-09-17

Issue

Section

Veterinary Technician Session