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Acta Optica Sinica, Volume. 42, Issue 1, 0117002(2022)

Diabetes Recognition Method Based on Discrete Three-Dimensional Fluorescence Spectrum

Yang Zhang1,2, Tengchao He1,4, lin Liu3, Jian Zhang3, Junqing Zhang3, Yong Liu1, Yikun Wang1,4、**, and Yuanzhi Zhang1、*
Author Affiliations
  • 1Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis & Treatment Technology and Instrument, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China;
  • 2Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, Anhui 230026, China
  • 3Endocrinology Department, Peking University First Hospital, Beijing 100034, China
  • 4Wan Jiang New Industry Technology Development Center, Tongling, Anhui 244000, China
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    Figures & Tables(7)
    Three dimensional fluorescence spectra characteristics of different fluorescent components. (a) AGE; (b) NADH; (c) FAD; (d) collagen

    Fig. 1. Three dimensional fluorescence spectra characteristics of different fluorescent components. (a) AGE; (b) NADH; (c) FAD; (d) collagen

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    Schematic of discrete three dimensional fluorescence spectrum measurement system

    Fig. 2. Schematic of discrete three dimensional fluorescence spectrum measurement system

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    Measured tissue diffuse reflectance (Rmeas) and diffuse reflectance generated by diffuse approximation model (Rsim)

    Fig. 3. Measured tissue diffuse reflectance (Rmeas) and diffuse reflectance generated by diffuse approximation model (Rsim)

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    Comparison of physiological parameters of volar side forearm between diabetic group and normal control group. (a) Relative concentration of melanin; (b) relative concentration of oxyhemoglobin (HbO2); (c) relative concentration of deoxyhemoglobin (Hb); (d) tissue reduced scattering coefficient at 500 nm (μs); (e) tissue reduced scattering exponent b

    Fig. 4. Comparison of physiological parameters of volar side forearm between diabetic group and normal control group. (a) Relative concentration of melanin; (b) relative concentration of oxyhemoglobin (HbO2); (c) relative concentration of deoxyhemoglobin (Hb); (d) tissue reduced scattering coefficient at 500 nm (μs); (e) tissue reduced scattering exponent b

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    Gaussian fitting results of tissue discrete three-dimensional fluorescence spectrum. (a) 365 nm, (b) 340 nm, (c) 395 nm, (d) 415 nm, (e) 430 nm, (f) 455 nm

    Fig. 5. Gaussian fitting results of tissue discrete three-dimensional fluorescence spectrum. (a) 365 nm, (b) 340 nm, (c) 395 nm, (d) 415 nm, (e) 430 nm, (f) 455 nm

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    ROC curve of test set, training set model and skin fluorescence (Sf365) for diabetes recognition

    Fig. 6. ROC curve of test set, training set model and skin fluorescence (Sf365) for diabetes recognition

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    • Table 1. General characteristics of the population

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      Table 1. General characteristics of the population

      GroupNomaln=1216T2DMn=681p
      Gender(male/female)386/830317/364<0.001
      Age /year59.9±6.564.9±7.5<0.001
      BMI /(kg/m2)25.6±16.527.0±17.00.072
      FPG /(mmol/L)5.2±0.48.4±2.6<0.001
      2h PG /(mmol/L)6.1±1.015.3±4.0<0.001
      TC /(mmol/L)5.4±1.05.2±1.0<0.001
      TG /(mmol/L)1.5±1.31.8±1.3<0.001
      BUN /(mmol/L)5.4±1.35.8±1.4<0.001
      CREA /(μmol/L)62.7±13.065.5±16.4<0.001
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    Yang Zhang, Tengchao He, lin Liu, Jian Zhang, Junqing Zhang, Yong Liu, Yikun Wang, Yuanzhi Zhang. Diabetes Recognition Method Based on Discrete Three-Dimensional Fluorescence Spectrum[J]. Acta Optica Sinica, 2022, 42(1): 0117002

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    Paper Information

    Category: Medical optics and biotechnology

    Received: May. 21, 2021

    Accepted: Jul. 15, 2021

    Published Online: Dec. 22, 2021

    The Author Email: Wang Yikun (wyk@aiofm.ac.cn), Zhang Yuanzhi (yzzhang@aiofm.ac.cn)

    DOI:10.3788/AOS202242.0117002

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology