Eric Morissette, Cory D Penn, Ruth A Hall Sedlak, Austin J Rhodes, Dan S Tippetts, Mike Loenser, Richard Goldstein
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引用次数: 0
Abstract
Objective: To perform a diagnostic assessment of a point-of-care veterinary multiuse platform integrated with a model comprised of deep-learning, convolutional neural network algorithms for evaluating canine/feline peripheral blood smears compared to board-certified clinical pathologists (CPs).
Methods: This study had a blinded, randomized, incomplete block design, and results were compared between CPs and algorithms. Blood smears from convenience samples from veterinary diagnostic reference laboratories from October to December 2021 were used. Study phase A comprised 2 parts: (1) object class identifier algorithm (leukocytes, platelets, polychromatophils, and nucleated erythrocytes) versus CP within the same field of view (FOV); and (2) monolayer detection algorithm plus object class identifier algorithm versus CPs with different FOVs. Study phase B comprised algorithms versus CP for platelet clump identification. Study phase C comprised algorithms versus CP for polychromatophil identification. Metrics including sensitivity, specificity, and agreement were used.
Results: The sample size was 59 dogs and 60 cats in phase A, 92 dogs and 69 cats in phase B, and 47 dogs and 12 cats in phase C. For study phase A, part 1, the 5-part leukocyte differential count agreement was 96.6% for canine and 91.7% for feline blood smears, and for part 2, the agreement for estimated total leukocyte, platelet, polychromatophil, and nucleated erythrocyte counts ranged from 70% to 95% across species. In study phase B, the algorithm had 90% sensitivity and 88% specificity. The algorithm for polychromatophils had 100% agreement with CP results in phase C.
Conclusions: This platform achieved results comparable to those of CPs. Results are meant to complement automated CBC results.
Clinical relevance: Veterinarians may add this assessment as part of their standard in-clinic hematology analysis for patients.
期刊介绍：
The American Journal of Veterinary Research supports the collaborative exchange of information between researchers and clinicians by publishing novel research findings that bridge the gulf between basic research and clinical practice or that help to translate laboratory research and preclinical studies to the development of clinical trials and clinical practice. The journal welcomes submission of high-quality original studies and review articles in a wide range of scientific fields, including anatomy, anesthesiology, animal welfare, behavior, epidemiology, genetics, heredity, infectious disease, molecular biology, oncology, pharmacology, pathogenic mechanisms, physiology, surgery, theriogenology, toxicology, and vaccinology. Species of interest include production animals, companion animals, equids, exotic animals, birds, reptiles, and wild and marine animals. Reports of laboratory animal studies and studies involving the use of animals as experimental models of human diseases are considered only when the study results are of demonstrable benefit to the species used in the research or to another species of veterinary interest. Other fields of interest or animals species are not necessarily excluded from consideration, but such reports must focus on novel research findings. Submitted papers must make an original and substantial contribution to the veterinary medicine knowledge base; preliminary studies are not appropriate.
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