Innsbruck Medical University, Institute of Pathology, Neuropathology, and Molecular Pathology, Muellerstrasse 44, 6020 Innsbruck, Austria.
Institute of Forensic Medicine, Medical University of Innsbruck, Muellerstraße 44, 6020 Innsbruck, Austria.
Spectrochim Acta A Mol Biomol Spectrosc. 2022 Jun 5;274:121092. doi: 10.1016/j.saa.2022.121092. Epub 2022 Feb 28.
To implement Hyperspectral Imaging (HSI) as a tool for quantifying inflammatory cells in tissue specimens by the example of myocarditis in a collective of forensic patients.
44 consecutive patients with suspected myocardial inflammation at autopsy, diagnosed between 2013 and 2018 at the Institute of ForensicMedicine, Medical University of Innsbruck, were selected for this study. Using the IMEC SNAPSCAN camera, visible and near infrared hyperspectral images were collected from slides stained with CD3 and CD45 to assess quantity and spatial distribution of positive cells. Results were compared with visual assessment (VA) and conventional digital image analysis (DIA).
Finally, specimens of 40 patients were evaluated, of whom 36 patients (90%) suffered from myocarditis, two patients (5%) had suspected healing/healed myocarditis, and two did no have myocarditis (5%). The amount of CD3 and CD45 positive cells did not differ significantly between VA, HSI, and DIA (p = 0.46 for CD3 and 0.81 for CD45). Coheńs Kappa showed a very high correlation between VA versus HSI, VA versus DIA, and HSI versus DIA for CD3 (Coheńs Kappa = 0.91, 1.00, and 0.91, respectively). For CD45 an almost as high correlation was seen for VA versus HSI and HSI versus DIA (Coheńs Kappa = 0.75 and 0.70) and VA versus DIA (Coheńs Kappa = 0.89).
HSI is a reliable and objective method to count inflammatory cells in tissue slides of suspected myocarditis. Implementation of HSI in digital pathology might further expand the possibility of a sophisticated method.
通过法医患者群体中心肌炎的例子,将高光谱成像(HSI)作为量化组织标本中炎症细胞的工具来实施。
从 2013 年至 2018 年,在因斯布鲁克医科大学法医研究所,选择了 44 例尸检时疑似心肌炎症的连续患者进行本研究。使用 IMEC SNAPSCAN 相机,从用 CD3 和 CD45 染色的幻灯片中收集可见和近红外高光谱图像,以评估阳性细胞的数量和空间分布。结果与视觉评估(VA)和常规数字图像分析(DIA)进行比较。
最终评估了 40 例标本,其中 36 例(90%)患者患有心肌炎,2 例(5%)患者疑似愈合/已愈合心肌炎,2 例(5%)患者没有心肌炎。VA、HSI 和 DIA 之间 CD3 和 CD45 阳性细胞的数量没有显著差异(CD3 为 p = 0.46,CD45 为 p = 0.81)。VA 与 HSI、VA 与 DIA 和 HSI 与 DIA 之间的 Coheńs Kappa 显示出 CD3 的高度相关性(Coheńs Kappa 分别为 0.91、1.00 和 0.91)。对于 CD45,VA 与 HSI 和 HSI 与 DIA 之间的相关性也非常高(Coheńs Kappa 分别为 0.75 和 0.70),而 VA 与 DIA 之间的相关性为 0.89。
HSI 是一种可靠且客观的方法,可以计算疑似心肌炎组织切片中的炎症细胞。HSI 在数字病理学中的实施可能会进一步扩大复杂方法的可能性。