Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas, USA.
College of Medicine, University of Arkansas for Medical Sciences, Fayetteville, Arkansas, USA.
J Biophotonics. 2024 Nov;17(11):e202400213. doi: 10.1002/jbio.202400213. Epub 2024 Sep 4.
Severe joint infections, such as septic arthritis, require rapid diagnostic testing of the synovial fluid aspirated from joints level so that a surgical team can be assembled quickly. We present a diffuse reflectance spectroscopy (DRS) system for noncontact determination of infection. Using a light-tight syringe holder and fiber optic probe, diffusely reflected light from 475 to 655 nm was acquired from 18 patient samples through the wall of a syringe in a noncontact and sterile manner. We determined the reflectance ratios at two different wavelengths-R /R and R /R and found statistically significant differences (p < 0.05) in both ratios between the infected and noninfected groups. Critically, the R /R and R /R ratios were significantly correlated with clinical biomarkers-the white blood cell (WBC) and red blood cell (RBC) counts, respectively. This study demonstrates the potential of DRS as a rapid diagnostic tool for joint infections.
严重的关节感染,如化脓性关节炎,需要对关节抽吸的滑液进行快速诊断检测,以便快速组建手术团队。我们提出了一种用于非接触式确定感染的漫反射光谱(DRS)系统。使用不透光的注射器固定器和光纤探头,以非接触和无菌的方式从注射器壁获取 475 到 655nm 范围内的漫反射光。我们确定了在两个不同波长-R/R 和 R/R 处的反射率比,并发现感染组和非感染组之间在这两个比值上存在统计学上的显著差异(p<0.05)。关键的是,R/R 和 R/R 比值与临床生物标志物-白细胞(WBC)和红细胞(RBC)计数分别显著相关。这项研究表明 DRS 作为一种快速诊断关节感染的工具具有潜力。