Method and system for lung cancer diagnosis based on exhaled breath

摘要

The present invention relates to a method and system for diagnosing lung cancer based on exhalation, comprising the steps of: preparing a Surface Enhanced Raman Spectroscopy (SERS) substrate; Eluting a VOC (Volatile Organic Compound) contained in each of a plurality of cells, supplying each of the cell VOC eluates to the SERS substrate, and measuring each of the cell SERS signals; Deep learning each of the cell SERS signals to learn signal patterns of each of the cells; Collecting the patient exhalation, liquefying it through silicone oil, measuring the exhaled SERS signal by supplying the liquefied patient exhalation to the SERS substrate, and analyzing the exhaled signal pattern through the deep learning resu And by comparing and analyzing the signal pattern of each of the cellular SERS signals and the signal pattern of the expiratory SERS signal, the cell SERS signal having the highest similarity to the expiratory SERS signal is identified, and based on this, the presence of lung cancer cells is confirmed and notified It may include the step of.