尼日利亚用于粪便和尿液样本中血吸虫卵自动检测的AiDx辅助装置的评价

Frontiers in parasitology Pub Date : 2025-03-17 eCollection Date: 2025-01-01 DOI:10.3389/fpara.2025.1440299
Brice Meulah, Pytsje T Hoekstra, Samuel Popoola, Satyajith Jujjavarapu, Moses Aderogba, Joseph O Fadare, John A Omotayo, David Bell, Cornelis H Hokke, Lisette van Lieshout, Gleb Vdovine, Jan Carel Diehl, Temitope Agbana, Louise Makau-Barasa, Jacob Solomon
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引用次数: 0

摘要

简介:血吸虫病是一个公共卫生问题,在流行环境中需要可靠的现场兼容诊断方法。AiDx Assist是一种基于人工智能(AI)的自动显微镜,在检测尿液中的血血吸虫卵方面显示出令人鼓舞的结果。粪便中曼氏血吸虫卵的检测也得到了进一步的发展。方法:在本研究中,我们评估了AiDx Assist在粪便样品中检测曼氏沙门氏菌卵的性能,并进一步验证了AiDx Assist在尿液样品中检测血红梭菌卵的性能。此外,还探讨了AiDx Assist在粪便样本中检测其他蠕虫的潜力。来自mansoni链球菌和haematobium链球菌流行地区的405名参与者提供了粪便和尿液样本,这些样本经过AiDx Assist(半自动和全自动)检测,而传统显微镜用作诊断参考。结果:只有检测结果完整的样本才被纳入最终分析,375份粪便和398份尿液样本,其中38.4%和65.3%的样本在常规显微镜下显示血吸虫卵。通过人工分析对收集的粪便样本图像进行回顾性检查,以寻找其他蠕虫卵。对于mansoni卵的检测,半自动AiDx Assist的灵敏度(86.8%)明显高于全自动AiDx Assist(56.9%),特异性为81.4%和86.8%。回顾性观察蚓状蛔虫和毛滴虫卵。对于尿液样本的检测,在AiDx Assist的半自动和全自动模式之间发现了相当的敏感性,分别为94.6%和91.9%。此外,特异性具有可比性,分别为90.6%和91.3%。讨论:AiDx Assist在检测尿液样本中的血链球菌虫卵的诊断准确性方面符合世界卫生组织目标产品概要标准,在检测粪便样本中的曼氏链球菌虫卵方面表现一般。随着进一步的改进,它有可能成为筛查粪便和尿液样本中多种寄生虫的有价值的诊断工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of the AiDx Assist device for automated detection of Schistosoma eggs in stool and urine samples in Nigeria.

Introduction: Schistosomiasis is a public health concern and there is a need for reliable field-compatible diagnostic methods in endemic settings. The AiDx Assist, an artificial intelligence (AI)-based automated microscope, has shown promising results for the detection of Schistosoma haematobium eggs in urine. It has been further developed to detect Schistosoma mansoni eggs in stool.

Methods: In this study, we evaluated the performance of the AiDx Assist for the detection of S. mansoni eggs in stool samples and further validated the performance of the AiDx Assist for the detection of S. haematobium eggs in urine samples. Additionally, the potential of the AiDx Assist for the detection of other helminths in stool samples was explored. In total, 405 participants from an area endemic for both S. mansoni and S. haematobium provided stool and urine samples which were subjected to AiDx Assist (semi- and fully automated), while conventional microscopy was used as the diagnostic reference.

Results: Only samples with complete test results were included in the final analysis, resulting in 375 stool and 398 urine samples, of which 38.4% and 65.3% showed Schistosoma eggs by conventional microscopy. The collected images of the stool samples were retrospectively examined for other helminth eggs via manual analysis. For the detection of S. mansoni eggs, the sensitivity of the semi-automated AiDx Assist (86.8%) was significantly higher compared to the fully automated AiDx Assist (56.9%) while the specificity was comparable, with 81.4% and 86.8%, respectively. Retrospectively, eggs of Ascaris lumbricoides and Trichuris trichiura were visualized. For the examination of urine samples, a comparable sensitivity in the detection of S. haematobium eggs was found between the semi-and the fully automated modes of the AiDx Assist, showing 94.6% and 91.9%, respectively. Furthermore, the specificity was comparable, with 90.6%and 91.3% respectively.

Discussion: The AiDx Assist met the World Health Organization Target Product Profile criteria in terms of diagnostic accuracy for the detection of S. haematobium eggs in urine samples and performed modestly in the detection of S. mansoni eggs in stool samples. With some further improvements, it has the potential to become a valuable diagnostic tool for screening multiple helminth parasites in stool and urine samples.

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