 Attempts to objectively stratify risk within the surgical population have been challenging. Risk models based on the European Thoracic Database and the Society of Thoracic Surgeons Database are not yet robust enough to guide decision-making regarding treatment assignment or classification of the very high risk surgical patient where alternative therapies may be preferable. Unfortunately, one of the current limitations to stratifying these high risk patients is that these patients are followed by physicians in independent specialties. The STS Thoracic Surgical Database does not include patients that undergo SBRT therefore it is difficult to create an inclusive algorithm for operable and inoperable patients. A principle objective of the study is to create a validated risk model for treatment selection. This will greatly enhance the ability to counsel patients regarding their specific risksbenefit ratio for surgery or SBRT. This will improve informed decision making on the part of the patient, and remove much of the subjectivity of treatment selection. Inclusion of unique metrics such as HRQOL data will further bolster the benefit to the patient by making it more patient-centric, rather than focusing on cancer outcomes alone. 