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尼日利亚阿布贾基于 AiDx 多诊断自动显微镜检测血吸虫病的性能评估。

Performance evaluation of the AiDx multi-diagnostic automated microscope for the detection of schistosomiasis in Abuja, Nigeria.

机构信息

The Ending Neglected Diseases (END) Fund, New York, USA.

Unaffiliated, Lake Jackson, USA.

出版信息

Sci Rep. 2023 Sep 8;13(1):14833. doi: 10.1038/s41598-023-42049-6.

DOI:10.1038/s41598-023-42049-6
PMID:37684541
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10491799/
Abstract

In this research, we report on the performance of automated optical digital detection and quantification of Schistosoma haematobium provided by AiDx NTDx multi-diagnostic Assist microscope. Our study was community-based, and a convenient sampling method was used in 17 communities in Abuja Nigeria, based on the disease prevalence information extracted from the baseline database on schistosomiasis, NTD Division, of the Federal Ministry of Health. At baseline, samples from 869 participants were evaluated of which 358 (34.1%) tested S. haematobium positive by the reference diagnostic standard. Registered images from the fully automated (autofocusing, scanning, image registration and processing, AI image analysis and automatic parasite count) AiDx assist microscope were analyzed. The Semi automated (autofocusing, scanning, image registration & processing and manual parasite count) and the fully automated AiDx Assist showed comparable sensitivities and specificities of [90.3%, 98%] and [89%, 99%] respectively. Overall, estimated egg counts of the semi-automated & fully automated AiDx Assist correlated significantly with the egg counts of conventional microscopy (r = 0.93, p ≤ 0.001 and r = 0.89, p ≤ 0.001 respectively). The AiDx Assist device performance is consistent with requirement of the World Health Organization diagnostic target product profile for monitoring, evaluation, and surveillance of Schistosomiasis elimination Programs.

摘要

在这项研究中,我们报告了由 AiDx NTDx 多诊断辅助显微镜提供的自动化光学数字检测和定量检测曼氏血吸虫的性能。我们的研究是基于社区的,采用方便抽样方法,在尼日利亚阿布贾的 17 个社区进行,基于联邦卫生部 NTD 司从基线数据库中提取的血吸虫病流行信息。在基线时,评估了 869 名参与者的样本,其中 358 名(34.1%)经参考诊断标准检测为曼氏血吸虫阳性。对全自动(自动对焦、扫描、图像注册和处理、人工智能图像分析和自动寄生虫计数)AiDx 辅助显微镜的注册图像进行了分析。半自动(自动对焦、扫描、图像注册和处理以及手动寄生虫计数)和全自动 AiDx 辅助显示出可比的敏感性和特异性,分别为 [90.3%,98%] 和 [89%,99%]。总体而言,半自动和全自动 AiDx 辅助的估计卵数与传统显微镜的卵数显著相关(r = 0.93,p ≤ 0.001 和 r = 0.89,p ≤ 0.001)。AiDx 辅助设备的性能符合世界卫生组织监测、评估和监测血吸虫病消除规划的诊断目标产品概况的要求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9271/10491799/d0bb20386dfb/41598_2023_42049_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9271/10491799/142d06e4685a/41598_2023_42049_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9271/10491799/fa23d4d5b6c9/41598_2023_42049_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9271/10491799/dcbec0a4ed48/41598_2023_42049_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9271/10491799/8e5fec68b56e/41598_2023_42049_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9271/10491799/3f213a6f4f35/41598_2023_42049_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9271/10491799/f62a92baff16/41598_2023_42049_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9271/10491799/d0bb20386dfb/41598_2023_42049_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9271/10491799/142d06e4685a/41598_2023_42049_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9271/10491799/fa23d4d5b6c9/41598_2023_42049_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9271/10491799/dcbec0a4ed48/41598_2023_42049_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9271/10491799/8e5fec68b56e/41598_2023_42049_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9271/10491799/3f213a6f4f35/41598_2023_42049_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9271/10491799/f62a92baff16/41598_2023_42049_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9271/10491799/d0bb20386dfb/41598_2023_42049_Fig7_HTML.jpg

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