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ID 118189
著者
Kanemura, Yohei Tokushima University
Kanazawa, Meiko Tokushima University
橋本, 悟 Oita University
Hayashi, Yuri Tokushima University
Fujiwara, Erina Oita University
Suzuki, Ayako Oita University
Ishii, Takashige OEC Co., Ltd.
Goto, Masakazu OEC Co., Ltd.
Nozaki, Hiroshi OEC Co., Ltd.
Inoue, Takanori Oita University
資料タイプ
学術雑誌論文
抄録
Raman spectroscopy is a powerful method for estimating the molecular structure of a target that can be adapted for biomedical analysis given its non-destructive nature. Inflammatory skin diseases impair the skin’s barrier function and interfere with the patient’s quality of life. There are limited methods for non-invasive and objective assessment of skin inflammation. We examined whether Raman spectroscopy can be used to predict skin inflammation with high sensitivity and specificity when combined with artificial intelligence (AI) analysis. Inflammation was chemically induced in mouse ears, and Raman spectra induced by a 785 nm laser were recorded. A principal component (PC) analysis of the Raman spectra was performed to extract PCs with the highest percentage of variance and to estimate the statistical score. The accuracy in predicting inflammation based on the Raman spectra with or without AI analysis was assessed using receiver operating characteristic (ROC) curves. We observed some typical changes in the Raman spectra upon skin inflammation, which may have resulted from vasodilation and interstitial oedema. The estimated statistical scores based on spectral changes correlated with the histopathological changes in the skin. The ROC curve based on PC2, which appeared to include some spectral features, revealed a maximum accuracy rate of 80.0% with an area under the curve (AUC) of 0.864. The AI analysis improved the accuracy rate to 93.1% with an AUC of 0.972. The current findings demonstrate that the combination of Raman spectroscopy with near-infrared excitation and AI analysis can provide highly accurate information on the pathology of skin inflammation.
掲載誌名
Analyst
ISSN
00032654
13645528
cat書誌ID
AA00524823
出版者
The Royal Society of Chemistry
147
12
開始ページ
2843
終了ページ
2850
発行日
2022-05-27
権利情報
This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.(https://creativecommons.org/licenses/by-nc/3.0/)
出版社版DOI
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言語
eng
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出版社版
部局
病院