The probability of malignancy in solitary pulmonary nodules: application to small radiologically indeterminate nodules
SJ Swensen, MD Silverstein, DM Ilstrup… - Archives of internal …, 1997 - jamanetwork.com
Background: A clinical prediction model to identify malignant nodules based on clinical data
and radiological characteristics of lung nodules was derived using logistic regression from a
random sample of patients (n= 419) and tested on data from a separate group of patients (n=
210). Objective: To use multivariate logistic regression to estimate the probability of
malignancy in radiologically indeterminate solitary pulmonary nodules (SPNs) in a clinically
relevant subset of patients with SPNs that measured between 4 and 30 mm in diameter …
and radiological characteristics of lung nodules was derived using logistic regression from a
random sample of patients (n= 419) and tested on data from a separate group of patients (n=
210). Objective: To use multivariate logistic regression to estimate the probability of
malignancy in radiologically indeterminate solitary pulmonary nodules (SPNs) in a clinically
relevant subset of patients with SPNs that measured between 4 and 30 mm in diameter …