FitzGerald John D, Barrios Chesca, Liu Tairan, Rosenthal Ann, McCarthy Geraldine M, Chen Lillian, Bai Bijie, Ma Guangdong, Ozcan Aydogan
Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095, USA.
Gout Urate Cryst Depos Dis. 2024 Dec;2(4):315-324. doi: 10.3390/gucdd2040022. Epub 2024 Oct 22.
The gold standard for crystal arthritis diagnosis relies on the identification of either monosodium urate (MSU) or calcium pyrophosphate (CPP) crystals in synovial fluid. With the goal of enhanced crystal detection, we adapted a standard compensated polarized light microscope (CPLM) with a polarized digital camera and multi-focal depth imaging capabilities to create digital images from synovial fluid mounted on microscope slides. Using this single-shot computational polarized light microscopy (SCPLM) method, we compared rates of crystal detection and raters' preference for image.
Microscope slides from patients with either CPP, MSU, or no crystals in synovial fluid were acquired using CPLM and SCPLM methodologies. Detection rate, sensitivity, and specificity were evaluated by presenting expert crystal raters with (randomly sorted) CPLM and SCPLM digital images, from FOV above clinical samples. For each FOV and each method, each rater was asked to identify crystal suspects and their level of certainty for each crystal suspect and crystal type (MSU vs. CPP).
For the 283 crystal suspects evaluated, SCPLM resulted in higher crystal detection rates than did CPLM, for both CPP (51%. vs. 28%) and MSU (78% vs. 46%) crystals. Similarly, sensitivity was greater for SCPLM for CPP (0.63 vs. 0.35) and MSU (0.88 vs. 0.52) without giving up much specificity resulting in higher AUC.
Subjective and objective measures of greater detection and higher certainty were observed for SCPLM over CPLM, particularly for CPP crystals. The digital data associated with these images can ultimately be incorporated into an automated crystal detection system that provides a quantitative report on crystal count, size, and morphology.
晶体性关节炎诊断的金标准依赖于在滑液中鉴定出尿酸钠(MSU)或焦磷酸钙(CPP)晶体。为了提高晶体检测能力,我们对一台标准的补偿偏振光显微镜(CPLM)进行了改装,配备了偏振数码相机和多焦深成像功能,以便从安装在显微镜载玻片上的滑液中创建数字图像。使用这种单次计算偏振光显微镜(SCPLM)方法,我们比较了晶体检测率以及评估者对图像的偏好。
使用CPLM和SCPLM方法获取了来自滑液中含有CPP、MSU或无晶体的患者的显微镜载玻片。通过向晶体鉴定专家展示(随机排序的)来自临床样本上方视野的CPLM和SCPLM数字图像,评估检测率、敏感性和特异性。对于每个视野和每种方法,要求每位评估者识别晶体可疑物以及他们对每个晶体可疑物和晶体类型(MSU与CPP)的确定程度。
对于评估的283个晶体可疑物,SCPLM对CPP(51%对28%)和MSU(78%对46%)晶体的检测率均高于CPLM。同样,SCPLM对CPP(0.63对0.35)和MSU(0.88对0.52)的敏感性更高,且没有牺牲太多特异性,从而获得了更高的曲线下面积(AUC)。
与CPLM相比,SCPLM在检测方面具有更高的主观性和客观性指标,确定性更高,尤其是对于CPP晶体。与这些图像相关的数字数据最终可纳入自动晶体检测系统,该系统可提供有关晶体数量、大小和形态的定量报告。