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使用 Ocus 40 和 EasyScan One 扫描仪对 Vetscan Imagyst 系统进行多中心评估,以检测犬猫粪便中的胃肠道寄生虫。

Multicenter evaluation of the Vetscan Imagyst system using Ocus 40 and EasyScan One scanners to detect gastrointestinal parasites in feces of dogs and cats.

机构信息

Zoetis, Global Diagnostics, Parsippany, NJ, USA.

Oklahoma Animal Disease Diagnostic Laboratory, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, USA.

出版信息

J Vet Diagn Invest. 2024 Jan;36(1):32-40. doi: 10.1177/10406387231216185. Epub 2023 Nov 28.

DOI:10.1177/10406387231216185
PMID:38014739
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10734580/
Abstract

The Vetscan Imagyst system (Zoetis) is a novel, artificial intelligence-driven detection tool that can assist veterinarians in the identification of enteric parasites in dogs and cats. This system consists of a sample preparation device, an automated digital microscope scanner, and a deep-learning algorithm. The EasyScan One scanner (Motic) has had good diagnostic performance compared with manual examinations by experts; however, there are drawbacks when used in veterinary practices in which space for equipment is often limited. To improve the usability of this system, we evaluated an additional scanner, the Ocus 40 (Grundium). Our objectives were to 1) qualitatively evaluate the performance of the Vetscan Imagyst system with the Ocus 40 scanner for identifying , , and eggs, oocysts, and cysts in canine and feline fecal samples, and 2) expand the assessment of the performance of the Vetscan Imagyst system paired with either the Ocus 40 or EasyScan One scanner to include a larger dataset of 2,191 fecal samples obtained from 4 geographic regions of the United States. When tested with 852 canine and feline fecal samples collected from different geographic regions, the performance of the Vetscan Imagyst system combined with the Ocus 40 scanner was correlated closely with manual evaluations by experts. Sensitivities were 80.0‒97.0% and specificities were 93.7‒100.0% across the targeted parasites. When tested with 1,339 fecal samples, the Vetscan Imagyst system paired with the EasyScan One scanner successfully identified the targeted parasite stages; sensitivities were 73.6‒96.4% and specificities were 79.7‒100.0%.

摘要

Vetscan Imagyst 系统(Zoetis)是一种新颖的人工智能驱动的检测工具,可帮助兽医识别犬猫的肠道寄生虫。该系统由样品制备装置、自动化数字显微镜扫描仪和深度学习算法组成。EasyScan One 扫描仪(Motic)与专家手动检查相比具有良好的诊断性能;然而,在兽医实践中,由于设备空间通常有限,因此存在一些缺点。为了提高该系统的可用性,我们评估了另一种扫描仪 Ocus 40(Grundium)。我们的目标是:1)定性评估 Vetscan Imagyst 系统与 Ocus 40 扫描仪在识别犬猫粪便中 、 、 卵囊、 卵囊和 包囊的性能,2)扩大 Vetscan Imagyst 系统与 Ocus 40 或 EasyScan One 扫描仪联合评估的性能,包括来自美国 4 个地理区域的 2,191 个粪便样本的更大数据集。当用 852 个来自不同地理区域的犬猫粪便样本进行测试时,Vetscan Imagyst 系统与 Ocus 40 扫描仪联合使用的性能与专家的手动评估密切相关。针对目标寄生虫的敏感性为 80.0-97.0%,特异性为 93.7-100.0%。当用 1,339 个粪便样本进行测试时,与 EasyScan One 扫描仪联合使用的 Vetscan Imagyst 系统成功识别了目标寄生虫阶段;敏感性为 73.6-96.4%,特异性为 79.7-100.0%。

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Color for object recognition: Hue and chroma sensitivity in the deep features of convolutional neural networks.用于目标识别的颜色:卷积神经网络深度特征中的色调和色度敏感性
Vision Res. 2021 May;182:89-100. doi: 10.1016/j.visres.2020.09.010. Epub 2021 Feb 18.
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