Feasibility of Raman spectroscopy as a potential in vivo tool to screen for pre‐diabetes and diabetes

Autor:	Edgar Guevara, Juan Carlos Torres‐Galván, Francisco Javier González, Claudia Luevano‐Contreras, Claudio Cayetano Castillo‐Martínez, Miguel G. Ramírez‐Elías
Rok vydání:	2022
Předmět:	Prediabetic State Principal Component Analysis Support Vector Machine Diabetes Mellitus General Engineering Feasibility Studies Humans General Physics and Astronomy General Materials Science General Chemistry Spectrum Analysis Raman General Biochemistry Genetics and Molecular Biology
Zdroj:	Journal of Biophotonics. 15
ISSN:	1864-0648 1864-063X
Popis:	In this article, we investigated the feasibility of using Raman spectroscopy and multivariate analysis method to noninvasively screen for prediabetes and diabetes in vivo. Raman measurements were performed on the skin from 56 patients with diabetes, 19 prediabetic patients and 32 healthy volunteers. These spectra were collected along with reference values provided by the standard glycated hemoglobin (HbA1c) assay. A multiclass principal component analysis and support vector machine (PCA-SVM) model was created from the labeled Raman spectra and was validated through a two-layer cross-validation scheme. Classification accuracy of the model was 94.3% with an area under the receiver operating characteristic curve AUC of 0.76 (0.65-0.84) for the prediabetic group, 0.86 (0.71-0.93) for the diabetic group and 0.97(0.93-0.99) for the control group. Our results suggest the feasibility of using Raman spectroscopy for the classification of prediabetes and diabetes in vivo.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::079bb79f661bfea7e9a5c444b361c30d https://doi.org/10.1002/jbio.202200055 Zobrazit plný text záznamu Plný text