Felšöová Andrea, Sloboda Tibor, Hudec Lukáš, Koblížek Miroslav, Pohunek Petr, Martinů Vendula, Varényiová Žofia, Kadlecová Simona, Uhlík Jiří
Department of Histology and Embryology, Second Faculty of Medicine, Charles University, V Úvalu 84, 150 06 Prague 5, Czech Republic.
Clinical and Transplant Pathology Centre, Institute for Clinical and Experimental Medicine, Vídeňská 1958, 140 21 Prague 4, Czech Republic.
Diagnostics (Basel). 2021 Jul 29;11(8):1363. doi: 10.3390/diagnostics11081363.
The ciliary ultrastructure can be damaged in various situations. Such changes include primary defects found in primary ciliary dyskinesia (PCD) and secondary defects developing in secondary ciliary dyskinesia (SCD). PCD is a genetic disease resulting from impaired ciliary motility causing chronic disease of the respiratory tract. SCD is an acquired condition that can be caused, for example, by respiratory infection or exposure to tobacco smoke. The diagnosis of these diseases is a complex process with many diagnostic methods, including the evaluation of ciliary ultrastructure using transmission electron microscopy (the golden standard of examination). Our goal was to create a program capable of automatic quantitative analysis of the ciliary ultrastructure, determining the ratio of primary and secondary defects, as well as analysis of the mutual orientation of cilia in the ciliary border. PCD Quant, a program developed for the automatic quantitative analysis of cilia, cannot yet be used as a stand-alone method for evaluation and provides limited assistance in classifying primary and secondary defect classes and evaluating central pair angle deviations. Nevertheless, we see great potential for the future in automatic analysis of the ciliary ultrastructure.
睫状体超微结构在各种情况下都可能受损。这些变化包括原发性睫状运动障碍(PCD)中发现的原发性缺陷以及继发性睫状运动障碍(SCD)中出现的继发性缺陷。PCD是一种遗传性疾病,由睫状运动受损导致呼吸道慢性疾病。SCD是一种后天性疾病,例如可由呼吸道感染或接触烟草烟雾引起。这些疾病的诊断是一个复杂的过程,有许多诊断方法,包括使用透射电子显微镜评估睫状体超微结构(检查的金标准)。我们的目标是创建一个能够对睫状体超微结构进行自动定量分析的程序,确定原发性和继发性缺陷的比例,以及分析睫状缘中纤毛的相互取向。PCD Quant是一个为纤毛自动定量分析而开发的程序,目前尚不能作为一种独立的评估方法使用,在对原发性和继发性缺陷类别进行分类以及评估中心对角度偏差方面提供的帮助有限。然而,我们认为睫状体超微结构的自动分析在未来具有巨大潜力。