Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan.
Skin Res Technol. 2013 Feb;19(1):e157-66. doi: 10.1111/j.1600-0846.2012.00622.x. Epub 2012 Jun 5.
BACKGROUND/PURPOSE: This study aimed to develop a method for the assessment of allergic dermatitis by using the long-wavelength near-infrared spectrum (more than 1000 nm) to detect intracutaneous allergic type-specific elements. Such a method was realized by establishing a spectral classifier for the spectra of type I and type IV allergic dermatitis reactions.
Near-infrared spectral images of histamine-induced cutaneous reaction (type I) and contact hypersensitivity erythema elicited by squaric acid dibutylester (SADBE; type IV) were obtained, and the absorption spectra of normal and inflamed skin were extracted from these spectral images. A spectral classifier was established from these training datasets, and it was then applied to two test cases, red flare by methyl nicotinate (normal) and metal allergy (type IV).
The spectral classifier established by canonical discriminant analysis (CDA) achieved very accurate detection (normal: 87.67%, type I: 87.00%, type IV: 98.5%). Furthermore, the test cases were also correctly classified: the red flare induced by methyl nicotinate was categorized as normal skin and the metal allergy was categorized as a type IV allergic reaction.
These results suggest a possible application of near-infrared spectral imaging to the assessment of allergic dermatitis.
背景/目的：本研究旨在开发一种通过长波长近红外光谱（超过 1000nm）检测皮内过敏型特异性元素的方法，以评估过敏性皮炎。通过建立 I 型和 IV 型过敏性皮炎反应的光谱分类器，实现了这种方法。
获取组织胺诱导的皮肤反应（I 型）和丁二酸二丁酯（SADBE）诱导的接触性过敏红斑（IV 型）的近红外光谱图像，并从这些光谱图像中提取正常和炎症皮肤的吸收光谱。从这些训练数据集中建立一个光谱分类器，并将其应用于两个测试案例，即甲基烟碱引起的红斑（正常）和金属过敏（IV 型）。
基于典型判别分析（CDA）的光谱分类器实现了非常准确的检测（正常：87.67%，I 型：87.00%，IV 型：98.5%）。此外，测试案例也被正确分类：甲基烟碱引起的红斑被归类为正常皮肤，而金属过敏被归类为 IV 型过敏反应。
这些结果表明，近红外光谱成像可能在评估过敏性皮炎方面有应用的潜力。
