Early Detection of Lung Cancer in a High-Risk Population Defined by PFT, Biomarkers, and CT Scanning

February 11, 2020 updated by: Susanne Arnold

Early Detection of Lung Cancer in a High-Risk Population Defined by Pulmonary Function Testing, Biomarkers, and Computerized Tomography Scanning

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 Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

531

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Kentucky
      • Hazard, Kentucky, United States, 41702
        • Hazard ARH Regional Medical Center
      • Morehead, Kentucky, United States, 40351
        • St. Claire Regional Medical Center
      • Prestonsburg, Kentucky, United States, 41653
        • Highlands Regional Medical Center
      • Somerset, Kentucky, United States, 42501
        • Lake Cumberland Regional Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

55 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Age 55-75 years old.
  • Identification of a primary care physician (can be identified by study staff if needed).
  • FEV1/FVC <70% (GOLD 1 or higher COPD) (poor breathing function).
  • > or = 40 pack-year current or former (within the last 10 years) tobacco use (i.e. heavy cigarette smoking history).

Exclusion Criteria:

  • Enrolled in any other lung screening or lung cancer prevention trial.
  • Chest CT within the prior 12 months.
  • Inability to lie flat with arms raised above the head.
  • Current or prior personal history of lung cancer.
  • Prior history of cancer within the last five years or currently receiving treatment for cancer, except adequately treated non-melanomatous skin cancer or in-situ cervical cancer.
  • Life expectancy of less than 5 years.
  • Patients requiring supplemental oxygen.
  • Inability to give informed consent.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Screening
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: 1
Screening CT
Screening CT

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
test validity
Time Frame: 5 years
5 years

Secondary Outcome Measures

Outcome Measure
Time Frame
test feasibility
Time Frame: 5 years
5 years
test efficacy
Time Frame: 5 years
5 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Susanne Arnold, M.D., University of Kentucky

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 1, 2004

Primary Completion (Actual)

December 1, 2016

Study Completion (Actual)

January 1, 2020

Study Registration Dates

First Submitted

January 7, 2008

First Submitted That Met QC Criteria

January 7, 2008

First Posted (Estimate)

January 16, 2008

Study Record Updates

Last Update Posted (Actual)

February 13, 2020

Last Update Submitted That Met QC Criteria

February 11, 2020

Last Verified

February 1, 2020

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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