Siri Ravuri

Siri Ravuri

USING THREE-DIMENSIONAL MODELING TO ANALYZE VASCULAR CHANGES AROUND PRIMARY LUNG TUMORS

Authors

Siri Ravuri, Shruti Siva Kumar, Walter O'Dell

Mentor

Walter O'Dell

College

College of Medicine

Abstract

Lung cancer is generally diagnosed when primary lung tumors are visible in CT or PET scans and becomes more difficult to treat as the tumor progresses. The goal of this study is to use CT imaging and three-dimensional modeling to study lung vascular structure and identify early markers of vascular change around developing tumors. My hypotheses are that 1) in the healthy lung there is a consistent pattern of branch tortuosity, bi-furcation angle and branch radii as a function of distance from the heart; and 2) the presence of a developing tumor alters this pattern. This research has the potential to detect lung cancer earlier, to distinguish between active and benign disease, and further understand vascular changes that occur with the growth of primary lung tumors. Lung CT scans were acquired in a healthy adult and a patient with a primary lung cancer (obtained under an IRB approved protocol). An in-house software built from the NIH ImageJ platform was used to first isolate the lung volume, then to segment and characterize the vascular architecture from the CT images.

Poster

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Research Pitch

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