A Novel Gene Assay Combined with Medical Imaging for Accurate Prognosis and Prediction of Cancer Type

Lung cancer is the world's largest cause of cancer mortality. Chemotherapy and radiation have a very poor prognosis for individuals with advanced non-small cell lung cancer (NSCLC). Early identification of lung cancer is critical, and excessive detection delay or triggering lung cancer instances may result in the patient's affliction, which may explain the prompt execution and efficacy of diagnostic and therapeutic operations. Currently, therapeutic methods for lung cancer are based on the morphological type of tumors and require more research. The eventual goal of this work is to discover new markers for therapy and to customize therapy based on CT image and an individual tumor genetic composition using computer methods. Our method distinguishes Adenocarcinoma from Squamous cell carcinoma which helps physicians in initial detection of lung cancer type. As a result, the proposed method distinguished these types of NSCLC by accuracy of 90%.