Publications by authors named "Sheila L Venkatesh"
Objective: The purpose of this study was to build machine learning models to predict surgical upstaging risk of ductal carcinoma in situ (DCIS) to invasive cancer and to compare model performance to eligibility criteria used by the Comparison of Operative versus Monitoring and Endocrine Therapy (COMET) active surveillance trial.
Methods: Medical records were retrospectively reviewed of all women with DCIS at core-needle biopsy who underwent surgery from 2007 to 2016 at an academic medical center. Multivariable regression and machine learning models were developed to evaluate upstaging-related features and their performance was compared with that achieved using the COMET trial eligibility criteria.
Purpose: To estimate the upstaging risk of symptomatic ductal carcinoma in situ (DCIS) to invasive disease and to identify features related to upstaging risk.
Materials And Methods: This retrospective investigation includes symptomatic women with DCIS at core needle biopsy from January 2007 to December 2016 at a large academic institution. Patient characteristics, findings at imaging, core needle biopsy histopathology results, and final surgical histopathology results were retrieved from the medical records.
Background And Purpose: Most patients with stroke-like symptoms screened by advanced imaging for proximal occlusion will not have a thrombus accessible by neurointerventional techniques. Development of a sensitive clinical scoring system for rapidly identifying patients with an emergent large vessel occlusion could help target limited resources and reduce exposure to unnecessary imaging.
Methods: This historical cohort study included patients who underwent non-contrast CT and CT angiography in the emergency department for stroke-like symptoms.