Raman Spectroscopy for in vivo Classification of Peripheral Lung Nodules

In Canada the five year survival rate for lung cancer is only at 15%. There is a great need to be able to detect the disease at an earlier stage which would lead to a better prognosis and outcome for the patient. Although many technologies and medical devices have been in use for standard procedure in the last decade, there are few which can detect lung lesions in the deeper portion, the periphery of the lung with reliability. The best option presently is called radial ultrasound, a device which focuses on tissue density but does not illuminate biochemical characteristics. A method called Raman spectroscopy has been shown to illuminate tissue characteristics like a fingerprint, giving detailed information about the tissue. We propose for the first time, the use of Raman Sopectroscopy as an adjunct method to radial ultrasound in the lung periphery.

Intern: 
Hanna Pawluk
Superviseur universitaire: 
Dr. Haishan Zeng
Project Year: 
2015
Province: 
British Columbia
Discipline: 
Programme: