家用快速抗原侧向流动检测和人工智能读取对 SARS-CoV-2 的检测的有效性。
Validity of at-home rapid antigen lateral flow assay and artificial intelligence read to detect SARS-CoV-2.
机构信息
Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
Department of Emergency Medicine, Stanford University School of Medicine, Stanford, CA, USA.
出版信息
Diagn Microbiol Infect Dis. 2022 Nov;104(3):115763. doi: 10.1016/j.diagmicrobio.2022.115763. Epub 2022 Jul 7.
BACKGROUND
The gold standard for COVID-19 diagnosis-reverse-transcriptase polymerase chain reaction (RT-PCR)- is expensive and often slow to yield results whereas lateral flow tests can lack sensitivity.
METHODS
We tested a rapid, lateral flow antigen (LFA) assay with artificial intelligence read (LFAIR) in subjects from COVID-19 treatment trials (N = 37; daily tests for 5 days) and from a population-based study (N = 88; single test). LFAIR was compared to RT-PCR from same-day samples.
RESULTS
Using each participant's first sample, LFAIR showed 86.2% sensitivity (95% CI 73.6%-98.8) and 94.3% specificity (88.8%-99.7%) compared to RT-PCR. Adjusting for days since symptom onset and repeat testing, sensitivity was 97.8% (89.9%-99.5%) on the first symptomatic day and decreased with each additional day. Sensitivity improved with artificial intelligence (AI) read (86.2%) compared to the human eye (71.4%).
CONCLUSION
LFAIR showed improved accuracy compared to LFA alone. particularly early in infection.
背景
COVID-19 诊断的金标准——逆转录聚合酶链反应（RT-PCR）——既昂贵又常常需要很长时间才能得出结果，而侧向流动检测有时则缺乏敏感性。
方法
我们在 COVID-19 治疗试验（N=37；每天检测 5 天）和基于人群的研究（N=88；单次检测）的受试者中测试了一种快速的侧向流动抗原（LFA）检测与人工智能读取（LFAIR）。将 LFAIR 与当日的 RT-PCR 样本进行比较。
结果
使用每位参与者的第一个样本，LFAIR 与 RT-PCR 相比，敏感性为 86.2%（95%置信区间 73.6%-98.8%），特异性为 94.3%（88.8%-99.7%）。调整症状出现天数和重复检测后，在第一个有症状的日子里，敏感性为 97.8%（89.9%-99.5%），随着天数的增加而降低。与肉眼（71.4%）相比，人工智能（AI）读取（86.2%）提高了敏感性。
结论
与单独的 LFA 相比，LFAIR 显示出了更高的准确性，特别是在感染的早期。
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