Development and validation of clinical prediction models to risk stratify patients presenting with small pulmonary nodules: a research protocol.
Jason Lee OkeLyndsey C PickupJérôme DeclerckMatthew E CallisterDavid BaldwinJennifer GustafsonHeiko PeschlSarim AtherMaria TsakokAlan ExellFergus GleesonPublished in: Diagnostic and prognostic research (2018)
Retrospectively collected data from 1500 patients with pulmonary nodule(s) of up to 15 mm detected on routinely performed CT chest scans aged 18 years old or older from three academic centres in the UK will be used to to develop risk stratification models. Radiological, clinical and patient characteristics will be combined in multivariable logistic regression models to predict nodule malignancy. Data from over 1000 participants recruited in a prospective phase of the study will be used to evaluate model performance. Discrimination, calibration and clinical utility measures will be presented.