Background: Standard risk assessment algorithms for gastrointestinal stromal tumor (GIST) are based on anatomic and histopathological variables with arbitrarily defined subcategories. Our goal was to improve risk assessment for GIST through retrospective analysis of patient data.
Methods: The National Cancer Database (NCDB) was queried for patients with GIST; the final cohort consisted of 19,030 cases.