Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei, China.
Endocrinology Department, Peking University First Hospital, Beijing, China.
J Biophotonics. 2024 Jan;17(1):e202300098. doi: 10.1002/jbio.202300098. Epub 2023 Oct 3.
There is an urgent need for a mass population screening tool for diabetes. Skin tissue contains a large number of endogenous fluorophores and physiological parameter markers related to diabetes. We built an excitation-emission spectrum measurement system with the excited light sources of 365, 395, 415, 430, and 455 nm to extract skin characteristics. The modeling experiment was carried out to design and verify the accuracy of the recovery of tissue intrinsic discrete three-dimensional fluorescence spectrum. Blood oxygen modeling experiment results indicated the accuracy of the physiological parameter extraction algorithm based on the diffuse reflectance spectrum. A community population cohort study was carried out. The tissue-reduced scattering coefficient and scattering power of the diabetes were significantly higher than normal control groups. The Gaussian multi-peak fitting was performed on each excitation-emission spectrum of the subject. A total of 63 fluorescence features containing information such as Gaussian spectral curve intensity, central wavelength position, and variance were obtained from each person. Logistic regression was used to construct the diabetes screening model. The results showed that the area under the receiver operating characteristic curve of the model for predicting diabetes was 0.816, indicating a high diagnostic value. As a rapid and non-invasive detection method, it is expected to have high clinical value.
目前非常需要一种针对糖尿病的大规模人群筛查工具。皮肤组织中含有大量与糖尿病相关的内源性荧光团和生理参数标志物。我们构建了一个激发-发射光谱测量系统，使用 365、395、415、430 和 455nm 的激发光源来提取皮肤特征。通过建模实验，设计并验证了恢复组织固有离散三维荧光光谱的准确性。血液氧合建模实验结果表明，基于漫反射光谱的生理参数提取算法具有较高的准确性。我们开展了一项社区人群队列研究。结果显示，糖尿病患者的组织减散射系数和散射系数明显高于正常对照组。对每位受试者的每个激发-发射光谱进行高斯多峰拟合，从每个人中获得了包含高斯光谱曲线强度、中心波长位置和方差等信息的 63 个荧光特征。使用逻辑回归构建糖尿病筛查模型。结果表明，该模型预测糖尿病的受试者工作特征曲线下面积为 0.816，表明具有较高的诊断价值。作为一种快速、非侵入性的检测方法，预计具有较高的临床价值。
