Early Detection of Lung Cancer Via Bi-plane Correlation Chest Imaging

July 31, 2014 updated by: Duke University
This project proposes a new method, Bi-plane Correlation Imaging (BCI), for improved detection of subtle lung nodules. In BCI, two digital radiographs of the chest are acquired within a short time interval from slightly different posterior projections. The image data are incorporated into an enhanced Computer-aided Diagnosis (CAD) algorithm in which nodules present in the thoracic cavity are detected by examining the geometrical correlation of the detected signals in the two views. The data are alos viewed stereoscopically for visual diagnosis. The expected high sensitivity/specificity of the method has the potential to change the current state of practice, perhaps leading to a preventive lung cancer screening program for high-risk populations, similar to the mammography screening program currently in place for breast cancer.

Study Overview

Status

Completed

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

86

Phase

  • Early Phase 1

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

    • North Carolina
      • Durham, North Carolina, United States, 27705
        • Duke University Medcal Center

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

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Normal individuals
  • Individuals with CT-confirmed subtle lung nodules.

Exclusion Criteria:

  • Individuals with acute pulmonary abnormalities or those in poor health conditions will be excluded due to the potential impact on the results as well as difficulty of acquiring the images. Pregnant women will also be excluded to avoid the exposure of the fetus to radiation.

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

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: A
Bi-plane radiography of the thorax

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
The technique is effective in diagnosing early lung tumors.
Time Frame: end of the study
end of the study

Secondary Outcome Measures

Outcome Measure
Time Frame
The relative performance of BCI with respect to chest radiography and CT for lung cancer detection.
Time Frame: end of the study
end of the study

Collaborators and Investigators

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

Sponsor

Investigators

  • Principal Investigator: Ehsan Samei, PhD, Duke University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

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

April 1, 2007

Primary Completion (Actual)

November 1, 2008

Study Completion (Actual)

November 1, 2008

Study Registration Dates

First Submitted

May 4, 2008

First Submitted That Met QC Criteria

May 4, 2008

First Posted (Estimate)

May 7, 2008

Study Record Updates

Last Update Posted (Estimate)

August 1, 2014

Last Update Submitted That Met QC Criteria

July 31, 2014

Last Verified

January 1, 2013

More Information

Terms related to this study

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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