Background and Objective: The global impact of cancer and cancer-related deaths has been a huge challenge and continues to be a setback in the health sector and beyond even in recent times. Cancer is the second leading cause of death globally with lung cancer (LC) being the second most prevalent malignancy and the leading cause of mortality amongst cancers in men and women worldwide. LC still constitutes a major burden despite recent advances in diagnostic and treatment tools. In this article, we review the trends in LC with an emphasis on non-small cell LC. We aimed to identify nuclear and mitochondrial genetic alterations, microbiome dysbiosis, and their significance in non-small cell LC tumorigenesis as well as its relevance in the future management of LCs. Methods:We identified studies for this review by searching the PubMed, Cochrane, Education Resources Information Center (ERIC), and Surveillance, Epidemiology, and End Results (SEER) databases for English-

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We report an object tracking algorithm that combines geometrical constraints, thresholding, and motion detection for tracking of the descending aorta and the network of major arteries that branch from the aorta including the iliac and femoral arteries. Using our automated identification and analysis, arterial system was identified with more than 85% success when compared to human annotation. Furthermore, the reported automated system is capable of producing a stenosis profile, and a calcification score similar to the Agatston score. The use of stenosis and calcification profiles will lead to the development of better-informed diagnostic and prognostic tools.