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Cancer is still the second leading cause of death in United States. Approximately 600,922 thousand lives will be lost in 2017.

Cancer is still the second leading cause of death in United States. Approximately 600,922 thousand lives will be lost in 2017.  Radiation Therapy plays a major role, treating 80% of the 1,688,780 tumor-based cases reported last year.  In the US, approximately 41 out of 100 men and 38 out of 100 women will develop cancer during their lifetime (Cancer stats and figures 2017).  Although progress has been made through early detection and screening, innovation has been limited when trying to deliver radiation to only the tumor.  Soft tissue cancers of the Head/Neck, Respiratory, and Digestive systems are the most challenging cases for the treating Radiation Oncologist.  Anatomic changes happen daily due to organ motion, deformation, weight loss, and tumor shrinkage.  Successful therapy depends on ability to delineate a precise tumor location “on the day of” radiation delivery.

The need of the hour is to reduce the amount of radiation beyond the tumor margins by providing radiation dose details that will allow the clinician to target only the tumor margin, sparing the surrounding tissues.  Performance of the steps necessary to spare the surrounding tissues has recently come to be known as Adaptive Radiotherapy, where changes can be made to the original patient treatment plan during a course of radiotherapy to account for both the temporal and functional changes in anatomy. SegAna’s patent pending state-of-the-art technology will enhance the treatment of cancer by providing the radiation oncologist with the tools to accurately treat the tumor during therapy.  Radiation damage to tissue or organs surrounding the tumor may be reduced, leading to an improved patient outcome.

The initial product will be a software framework that provides treatment guidance for radiotherapy from one treatment fraction to another (intrafraction treatment guidance and adaptivity).  SegAna’s software provides real-time computing performance that facilitates clinical decision-making for adaptive radiotherapy.