Department of Dermatology, Hôpital Erasme, Université Libre de Bruxelles, 128 Kardinaal Sterckxlaan, 1860 Meise, Belgium.
Arch Dermatol Res. 2013 May;305(4):283-97. doi: 10.1007/s00403-012-1311-8. Epub 2013 Jan 6.
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.
高清光学相干断层扫描（HD-OCT）是一种非侵入性技术，可对组织进行形态学研究，具有细胞分辨率，填补了反射共焦显微镜和传统光学相干断层扫描之间的成像空白。本研究的目的首先是将炎症性皮肤病的皮肤病理描述符与 HD-OCT 观察到的表皮改变相关联。其次，通过应用 Ackerman 的模式识别算法方法，评估表皮改变的常见炎症反应模式的鉴别准确性。对 160 名患有炎症性皮肤病的患者的 HD-OCT 生成图像进行分析，评估标准如下：表皮和真皮中单个细胞的可视化以及表皮-真皮连接、乳头真皮和网状真皮的形态。获得了与皮肤病理描述符相对应的一套形态特征，并证明了 HD-OCT 对炎症反应模式的鉴别准确性。这些模式包括海绵状皮炎、银屑病样皮炎、界面性皮炎和气球样皮炎。需要进一步研究来测试所提出的模式分析算法的灵敏度和特异性。需要评估 Ackerman 模式识别的其他类别。本研究提供了一组由 HD-OCT 成像生成的形态特征，与反射共焦显微镜描述的特征非常相似，但具有不仅可以可视化深度达 570μm 的单个细胞，而且还可以进行切片和全面成像的优势。可以提出一种用于常见炎症性皮肤病的模式分析的算法方法。这项新技术似乎是一种有前途的非侵入性诊断、评估和管理常见炎症性皮肤病的方法。
