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Extended-wavelength diffuse reflectance spectroscopy with a machine-learning method for in vivo tissue

Ulf Dahlstrand1, Rafi Sheikh1, Cu Dybelius Ansson1

  • 1Lund University, Skåne University Hospital, Department of Clinical Sciences Lund, Ophthalmology, Lund, Sweden.

Plos One
|October 11, 2019
PubMed
Summary

Extended-wavelength diffuse reflectance spectroscopy (EWDRS) accurately classifies in vivo skin and tissue types. This technique shows promise as a non-invasive diagnostic tool for medical applications.

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Area of Science:

  • Biomedical Optics
  • Spectroscopy
  • In Vivo Imaging

Background:

  • Accurate differentiation of skin and tissue types is crucial for various medical applications.
  • Non-invasive diagnostic tools are highly sought after in clinical settings.

Purpose of the Study:

  • To evaluate the efficacy of extended-wavelength diffuse reflectance spectroscopy (EWDRS) for in vivo classification of diverse skin and tissue types.
  • To assess the potential of EWDRS as a diagnostic tool.

Main Methods:

  • EWDRS recordings were acquired across a spectral range of 450-1550 nm on pig skin with varying pigmentation, snout, and tongue.
  • A support vector machine (SVM) algorithm was trained using the EWDRS data to classify different tissue types.

Main Results:

  • Unique spectral profiles were observed for each distinct skin and tissue type.
  • The SVM achieved a high classification accuracy of 98.2%.
  • Sensitivity and specificity ranged from 96.4% to 100.0% across all tested types.

Conclusions:

  • EWDRS is a highly accurate in vivo method for differentiating between various skin and tissue types.
  • Further development could establish EWDRS as a novel diagnostic tool, potentially for non-invasive tumor margin delineation.