In vivo documentation of cutaneous inflammation using spectral imaging.

In vivo documentation of cutaneous inflammation using spectral imaging.
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DOI:
10.1117/1.2798704
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发表时间:
2007-09
影响因子:
3.5
通讯作者:
G. Stamatas;N. Kollias
G. Stamatas;N. Kollias
中科院分区:
医学3区
文献类型:
--
作者:
G. Stamatas;N. Kollias

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皮肤炎症的典型表现包括红斑和水肿。虽然红斑是毛细血管扩张和氧合血红蛋白浓度局部增加的结果,但水肿的特征在于真皮中细胞外液的增加,导致局部组织肿胀。这两种炎症反应通常通过目视进行分级。我们证明了光谱成像作为一种客观的非侵入性方法的红斑和水肿的定量记录的潜力。作为表现出皮肤炎症的皮肤病学病症的实例,我们将该方法应用于患有(1)过敏性皮炎(毒常春藤皮疹)、(2)炎性痤疮和(3)病毒感染(带状疱疹)的患者。光谱图像是在光谱的可见光和近红外部分获得的。基于光谱分解算法,构建了氧合血红蛋白、脱氧血红蛋白、黑色素、光散射和水的表观浓度图。在所检查的每种皮肤病状况中,氧合血红蛋白和水的浓度图相应地表示红斑和皮肤水肿的强度和程度的定量可视化。我们证明,光谱成像可用于定量记录皮肤炎症相关参数。应用可能包括监测疾病进展以及筛选治疗效果。
Typical manifestations of cutaneous inflammation include erythema and edema. While erythema is the result of capillary dilation and local increase of oxygenated hemoglobin concentration, edema is characterized by an increase in extracellular fluid in the dermis, leading to local tissue swelling. Both of these inflammatory reactions are typically graded visually. We demonstrate the potential of spectral imaging as an objective noninvasive method for quantitative documentation of both erythema and edema. As examples of dermatological conditions that exhibit skin inflammation we applied this method on patients suffering from (1) allergic dermatitis (poison ivy rashes), (2) inflammatory acne, and (3) viral infection (herpes zoster). Spectral images are acquired in the visible and near-IR part of the spectrum. Based on a spectral decomposition algorithm, apparent concentrations maps are constructed for oxyhemoglobin, deoxyhemoglobin, melanin, optical scattering, and water. In each dermatological condition examined, the concentration maps of oxyhemoglobin and water represent quantitative visualizations of the intensity and extent of erythema and cutaneous edema, correspondingly. We demonstrate that spectral imaging can be used to quantitatively document parameters relevant to skin inflammation. Applications may include monitoring of disease progression as well as screening for efficacy of treatments.