Open Access Research Protocol

Proactive Medicine Initiative - Predicting EGFR Mutation Heterogeneity In CT-Scans of Indian Patients with Adenocarcinomas of the Lung using Radiomics Algorithm

G Lohith*, Shivkumar Swamy, Niti Narang Raizada and BS Ajai Kumar

Healthcare Global Enterprises limited, India

Corresponding Author

Received Date: October 01, 2018;  Published Date: October 31, 2018


Tumors are spatially and temporally heterogeneous, requiring biopsies or invasive surgeries to extract and analyze what are generally small portions of tumor tissue, which do not allow for a complete characterization of the tumor. Imaging provides a comprehensive view of the entire tumor and can be used on an ongoing basis to dynamically monitor the development and progression of the tumor or its response to therapy. Radiomics based quantitative imaging is a new dynamic field which could be co-related with large amount of available data of clinical parameters, gene expression profiles and other prognostic and predictive markers to further validate the optimum value of Precision and personalized medicine in cancer therapy.

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