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High-definition optical coherence tomography: adapted algorithmic method for pattern analysis of inflammatory skin diseases: a pilot study

机译:高清晰度光学相干断层扫描:用于炎症性皮肤疾病模式分析的改进算法方法:一项试点研究

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摘要

High-definition optical coherence tomography (HD-OCT) is a non-invasive technique for morphological investigation of tissue with cellular resolution filling the imaging gap between reflectance confocal microscopy and conventional optical coherence tomography. The aim of this study is first to correlate dermatopathologic descriptors of inflammatory skin conditions with epidermal alteration to features observed by HD-OCT. Secondly, to assess the discriminative accuracy of common inflammatory reaction patterns with epidermal alteration using HD-OCT by applying Ackerman’s algorithmic method of pattern recognition. The generated HD-OCT images of 160 patients presenting an inflammatory skin disease were analyzed with respect to the following criteria: visualization of individual cells in the epidermis and dermis and morphology of dermo-epidermal junction, papillary dermis and reticular dermis. A set of morphological features corresponding to dermatopathological descriptors are obtained and the discriminative accuracy of HD-OCT of inflammatory reaction patterns could be demonstrated. These patterns are spongiotic dermatitis, psoriasiform dermatitis, interface dermatitis and ballooning dermatitis. Additional studies to test the sensitivity and specificity of the proposed algorithm for pattern analysis are essential. The other categories of Ackerman’s pattern recognition need to be evaluated. This study provides a set of morphological features generated by HD-OCT imaging very similar to those described for reflectance confocal microscopy but with the advantages not only to visualize individual cells up to a depth of 570 μm but also in both slice and en face mode. An adapted algorithmic method for pattern analysis of common inflammatory skin diseases could be proposed. This new technique appears to be a promising method for non-invasive diagnosis, evaluation and management of common inflammatory skin diseases.
机译:高分辨率光学相干断层扫描(HD-OCT)是一种用于组织形态学研究的非侵入性技术,其细胞分辨率填补了反射共聚焦显微镜和常规光学相干断层扫描之间的成像空白。这项研究的目的是首先将炎症性皮肤病的皮肤病理学特征与表皮改变与HD-OCT所观察到的特征联系起来。其次,通过应用Ackerman模式识别算法,评估使用HD-OCT进行的常见炎症反应模式与表皮改变的判别准确性。根据以下标准分析了160例表现为炎症性皮肤病的患者的HD-OCT图像:表皮和真皮中单个细胞的可视化以及真皮-表皮交界处,乳头状真皮和网状真皮的形态。获得了一组对应于皮肤病理学描述符的形态学特征,并且可以证明HD-OCT对炎症反应模式的判别准确性。这些模式是海绵状皮炎,牛皮癣样皮炎,界面皮炎和气球状皮炎。必须进行其他研究,以测试所提出算法用于模式分析的敏感性和特异性。需要评估Ackerman模式识别的其他类别。这项研究提供了由HD-OCT成像产生的一组形态学特征,这些特征与反射共聚焦显微镜所描述的非常相似,但不仅具有可视化深度达570μm的单个细胞的优势,而且还具有切片和面对面模式的优势。可以提出一种适用于常见炎症性皮肤病模式分析的算法方法。这项新技术似乎是一种用于常见炎症性皮肤病的非侵入性诊断,评估和管理的有前途的方法。

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