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Bimodal spectroscopy for in vivo characterization of hypertrophic skin tissue: pre-clinical experimentation, spectral data selection and classification

机译:双峰光谱技术用于肥厚性皮肤组织的体内表征:临床前实验,光谱数据选择和分类

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Objective: The objective of this study was two folds: firstly, we would like to investigate the efficiency of bimodal spectroscopic technique in characterization of hypertrophic scarring tissue deliberately created on a preclinical model (rabbit's ear); on the other hand, we evaluate the inhibition effect of an anti-inflammatory medication (tacrolimus) on hypertrophic formation in scar by using our bimodal spectroscopic system. Study design: This study was conducted on 20 New Zealand Rabbits receiving hypertrophic scarring treatment on their ears. Fluorescence and Diffuse Reflectance spectra were collected from each scar, amongst which some had received tacrolimus treatment. Features were extracted from corrected spectral data and analyzed to classify the scarring tissues into hypertrophic or non-hypertrophic. Diagnostic algorithms were developed with the use of k-NN classifier and validated by comparing to histological classification result with Leave-one- out cross validation. Results and discussion: The accuracy of our bimodal spectroscopy method for detecting hypertrophic scarring scar tissue was good (sensibility: 90.84%, specificity: 94.44%). The features used for classification were mainly extracted from the spectra exited at 360, 410 and 420 nm. This indicates that the difference between the spectra acquired from hypertrophic and non-hypertrophic tissue may be due to the different intensity distribution of several fluorophores (collagen,elastin and NADH) excited in this range, or to the change in proportion of tissue layers (epidermis and dermis) explored by the CEFS in use.
机译:目的:这项研究的目的有两个方面:首先,我们想研究双峰光谱技术在刻意建立在临床前模型(兔子的耳朵)上的肥厚性瘢痕形成组织中的效率。另一方面,我们使用双峰光谱系统评估了抗炎药(他克莫司)对瘢痕中肥大性形成的抑制作用。研究设计:该研究是对20只新西兰兔的耳朵进行肥大性瘢痕治疗的研究。从每条疤痕收集荧光和漫反射光谱,其中一些接受他克莫司处理。从校正后的光谱数据中提取特征并进行分析,以将瘢痕组织分类为肥大性或非肥大性。使用k-NN分类器开发了诊断算法,并通过与Leave-one-out交叉验证的组织学分类结果进行比较来对其进行验证。结果与讨论:我们的双峰光谱法检测肥厚性瘢痕组织的准确性很高(灵敏度:90.84%,特异性:94.44%)。用于分类的特征主要是从在360、410和420 nm处存在的光谱中提取的。这表明从肥厚性组织和非肥厚性组织获得的光谱之间的差异可能是由于在此范围内激发的几种荧光团(胶原,弹性蛋白和NADH)的强度分布不同,或者是由于组织层(表皮)的比例变化和真皮)由CEFS使用。

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