EXHALATION-BASED METHOD AND SYSTEM FOR DIAGNOSIS OF LUNGE CANCER

摘要

The present disclosure relates to exhalation-based lung cancer diagnosis method and system. The method may include: a step of preparing a surface-enhanced Raman spectroscopy (SERS) substrate; a step of eluting volatile organic compounds (VOCs) included in each of a plurality of cells, supplying each of the cellular VOC eluates to the SERS substrate and then measuring each of cellular SERS signals; a step of learning the signal pattern of each cell by applying deep learning to each of the cellular SERS signals; a step of collecting a patient's exhaled gas and liquefying the same using silicone oil, supplying the liquefied patient's exhaled gas to the SERS substrate and measuring an exhalation SERS signal, and then identifying the signal pattern of the exhaled gas by analyzing the exhalation SERS signal through the deep learning resu and a step of comparing and analyzing the signal pattern of the each of the cellular SERS signals and the signal pattern of the exhalation SERS signal, thereby identifying the cellular SERS signal having the highest similarity to the exhalation SERS signal, and confirming and notifying whether a lung cancer cell is present or not on the basis thereof.