Northwestern University
Respiratory illnesses are a leading cause of morbidity and mortality worldwide, yet their prevalence in the general population remains poorly characterized. Computed tomography (CT) is the most effective diagnostic tool for identifying respiratory illnesses that cause changes to the lung parenchyma, such as pulmonary infections, fibrosis, and nodules. The diagnostic power of CT led the US Preventive Services Task Force (USPSTF) to issue lung cancer screening guidelines. In this prospective, observational cohort study, the study team will recruit 10,000 individuals aged 21 to 85 years, stratified into three cohorts: Cohort 1 (Medical Indication Group), Cohort 2 (Guideline-Based Screening Group), and Cohort 3 (Asymptomatic Research Low-Dose CT \[LDCT\] Group). The primary analysis will estimate the baseline cross-sectional prevalence of LDCT-detectable pulmonary findings in Cohort 3. Secondary analyses will compare baseline LDCT findings across all three cohorts and evaluate baseline associations between risk/exposure variables and CT findings. Exploratory follow-up analyses will use clinical data from the electronic health record (EHR), as available, for up to 5 years after the baseline/index CT. This study has the potential to transform health screening strategies, reduce disease burden, and improve health outcomes across diverse populations.
Inclusion Criteria: All Cohorts: •Adults 21 through 85 years of age. Cohort 1: •Clinical indication for chest CT, such as suspected lung pathology, abnormal chest imaging, or pulmonary symptoms requiring further evaluation. Cohort 1 activities are routine clinical care; research activity is secondary data use. Cohort 2: •Individuals who currently meet USPSTF criteria for LDCT lung cancer screening. Cohort 2 activities are routine clinical care; research activity is secondary data use. Cohort 3: * Asymptomatic individuals who: * Do not have a clinical indication for chest CT * Do not me…
A low-dose CT scan is an X-ray procedure where a high-speed computer is used to make multiple images of your chest area using the least amount of radiation possible without reducing the diagnostic quality of the exam.