54P - Correlation of Raman and NIR spectroscopy for diagnosis of peripheral lung cancer

Date 15 April 2016
Event European Lung Cancer Conference 2016 (ELCC) 2016
Session Poster lunch
Topics Imaging, Diagnosis and Staging
Lung and other Thoracic Tumours
Presenter Jiri Votruba
Citation Journal of Thoracic Oncology (2016) 11 (supplement 4): S57-S166. S1556-0864(16)X0004-4
Authors J. Votruba1, T. Brůha2, V. Setnička3, L. Šťovíčková4
  • 1Pulmonary, Charles University Hospital, 12000 - Prague /CZ
  • 2Pulmonary, Charles University Hospital, 12000 - Prague/CZ
  • 3Department Of Analytical Chemistry, ICHT, 16628 - Praha /CZ
  • 4Department Of Analytical Chemistry, ICHT, 16628 - Praha/CZ

Abstract

Background

Deaths from lung cancer exceed any type of malignancy with 3.6 million in 2014. Screening increases operability and also increases cancer-related and overall survival. Due to use of a CT incidence of peripheral lung lesions increased. Because of need for a morphological verification new bronchoscopy methods for biopsy of such lesions are needed. We have utilized two methods of spectroscopic detection in peripheral lung cancer. The correlation of these methods may provide the insight into molecular biology of SPNs.

Methods

We have designed the instrument for measurement of penetrated NIR through the lung tissue. It consists of two fibres where one of the fibres is a detector; the other is a source. The indicator fibre is 0.3 cm longer than the source fibre. The detector fibre is connected to NIR spectroscope and the source fibre to NIR source. A custom-made microprobe for Raman endobronchial measurements has been derived from above described system.

Results

NIR spectra of a normal lung tissue show characteristic peak at 735 nm which was not observed in the case of cancer tissue. In cancer tissue in addition all spectra have got fixed ratio of two transmittance values at two wavelengths (773, 823 nm). For Raman studies, we used the excitation wavelength of 785 nm. The Raman spectra of lung tissue areas were obtained in the 700–1800 cm-1 range within 60 sec. The results from the in vivo Raman analyses showed differences between the pathological and normal lung tissue. In the acquired spectra, we observed changes in the intensities of Raman bands corresponding to proteins, nucleic acids, phospholipids and amino acids. The observed differences may be connected with the different content of these molecules within tumors and lesions.

Conclusions

Both NIR and Raman spectroscopy together with transbronchial biopsy appear to be useful and reliable methods for peripheral lung cancer diagnosis. Such devices may be easily included into new navigation systems for solitary pulmonary nodules diagnostics.

Clinical trial identification

Evaluation of the Bronchial Mucosa Surface Measurement in the Diagnosis and Staging of Lung Cancer (contact thermometer ROSEMOUNT MR)’’ (Study code: thermo/dg/03).

Legal entity responsible for the study

Charles University Hospital, Pulmonary Clinic

Funding

1) Charles University Hospital, Pulmonary Clinic 2) Institut of Chemical technology, Department of Analytical Chemistry, University of Chemistry and Technology

Disclosure

All authors have declared no conflicts of interest.