Early Detection of Lung Cancer in a High-Risk Population Defined by PFT, Biomarkers, and CT Scanning
Public ClinicalTrials.gov record NCT00596310. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.
Official title
Early Detection of Lung Cancer in a High-Risk Population Defined by Pulmonary Function Testing, Biomarkers, and Computerized Tomography Scanning
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
Lung cancer is the number one cancer killer in Kentucky and has a very high incidence within the 5th Congressional District of Kentucky (110.8 cases per 100,000 in period 1996-2000). Surgical removal provides the best chance for cure. Unfortunately, the majority of lung cancer cases are detected in an advanced stage, when surgical resection is impossible. This leads to shorter survival rates and increased mortality rates for lung cancer, increased patient suffering, and greater cost to the healthcare system. Methods that favor earlier detection are therefore crucial for successful treatment. One such method, low-dose spiral computed tomography (CT) is being studied to determine whether its use as a screening method will lead to earlier detection and earlier intervention, perhaps impacting survival and mortality in lung cancer. This method has a modest sensitivity to detect lung cancer, but low specificity, which leads to many false positives and a low negative predictive value. The present study is designed to address both of these limitations by: 1) identifying individuals in the population at highest risk for developing lung cancer (due to smoking habits and decreased pulmonary function) for subsequent CT screening, and 2) performing biomarker testing in conjunction with the CT scan to improve the ability to discern individuals with benign lung nodules from those with malignant tumors. The 5th Congressional District of Kentucky has one of the highest rates of lung cancer in the nation and is an ideal location to test the validity (sensitivity and specificity), feasibility (negative and positive predictive value), and efficacy (stage distribution shift to earlier stage disease, increased survival, and decreased cancer-specific mortality) of these strategies to enhance early detection.
Study identification
- NCT ID
- NCT00596310
- Recruitment status
- Completed
- Study type
- Interventional
- Phase
- Not applicable
- Enrollment
- 531 participants
Conditions and interventions
Conditions
Eligibility (public fields only)
- Age range
- 55 Years to 75 Years
- Sex
- All
- Healthy volunteers
- Accepts healthy volunteers
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Oct 31, 2004
- Primary completion
- Nov 30, 2016
- Completion
- Dec 31, 2019
- Last update posted
- Feb 12, 2020
2004 – 2020
United States locations
- U.S. sites
- 4
- U.S. states
- 1
- U.S. cities
- 4
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| Hazard ARH Regional Medical Center | Hazard | Kentucky | 41702 | — |
| St. Claire Regional Medical Center | Morehead | Kentucky | 40351 | — |
| Highlands Regional Medical Center | Prestonsburg | Kentucky | 41653 | — |
| Lake Cumberland Regional Hospital | Somerset | Kentucky | 42501 | — |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
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About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT00596310, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Feb 12, 2020 · Synced Sep 10, 2026
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Open the official record
The complete protocol, eligibility criteria, and contact information for NCT00596310 live on ClinicalTrials.gov.