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  PD01 - Poster Discussion Session (ID 4)

  • Event: NACLC 2019
  • Type: Poster Discussion Session
  • Track:
  • Presentations: 1
  • Moderators:
  • Coordinates: 10/11/2019, 15:45 - 16:45, Imperial Ballroom (B2 Level)

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    PD01.16 - Raman Spectroscopy and NIR Spectroscopy as Possible Aid in Localisation of Solitary Pulmonary Nodules (ID 90)

    15:45 - 16:45  |  Author(s): Tom
    • Abstract

    Background:
    During routine bronchoscopy, we measured the near infrared and Raman spectra of various sections of healthy and cancer-affected tissue. Using the microprobes, we were able to identify major differences between cancerous and healthy lung tissue.
    
    
    Method:
    Methods Raman spectroscopy A custom-made microprobe was coupled with Raman spectrometer with an excitation wavelength of 785 nm. A bending radius of 17 mm provides sufficient flexibility of the fibres, while diameter of 2.1 mm allows passing the probe directly through the working channel of the bronchoscope. Near infrared spectroscopy NIR radiation penetrating the normal lung parenchyma has a different spectral characteristic than the radiation penetrating the SPN. For the purpose of measurement of the penetrated NIR radiation through the lung tissue was designed a simple optical catheter which can be introduced to the tissue through the working channel of bronchoscope.
    
    
    Results:
    Raman spectroscopy Several bands were identified the relative intensities of which varied in the spectra of pathological tissue. A considerable intensity increase was observed for the 1460 cm-1 band corresponding to the CH3 and CH2 bends in lipids, phospholipids and collagenand 1654 cm-1 amide I vibrations in proteins. Seven spectra were randomly selected for external validation, resulting in an overall discrimination accuracy of 91%. While the pathological tissue was classified correctly in all 15 cases (~94% sensitivity), two spectra of normal tissue were assigned to pathology, resulting in ~89% specificity. NIR spectroscopy The measured spectra were evaluated by the quantitative criterion. Finally, based on a selected appropriate cut-off value, all spectra were identified as pathological or normal and the sensitivity and specificity of method was determined ( Table 1 ). Table 1 matrix of results obtained by NIR spectroscopy
    
    
    Conclusion:
    The results achieved in this pilot study suggest high potential of the vibrational spectroscopy-based microprobes and NIR microprobes for the real-time diagnosis of lung cancer.