Original Query: ALL
Previous Study | Return to List | Next Study

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

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT00673283
Recruitment Status : Completed
First Posted : May 7, 2008
Last Update Posted : August 1, 2014
Information provided by (Responsible Party):
Duke University

Brief Summary:
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.

Condition or disease Intervention/treatment Phase
Lung Cancer Metastatic Cancer in the Lungs Device: bi-plane chest radiography Early Phase 1

Study Type : Interventional  (Clinical Trial)
Actual Enrollment : 86 participants
Intervention Model: Single Group Assignment
Masking: None (Open Label)
Primary Purpose: Diagnostic
Official Title: Early Detection of Lung Cancer Via Bi-plane Correlation Chest Imaging
Study Start Date : April 2007
Primary Completion Date : November 2008
Study Completion Date : November 2008

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Lung Cancer X-Rays
U.S. FDA Resources

Arm Intervention/treatment
Experimental: A Device: bi-plane chest radiography
Bi-plane radiography of the thorax

Primary Outcome Measures :
  1. The technique is effective in diagnosing early lung tumors. [ Time Frame: end of the study ]

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

Information from the National Library of Medicine

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.

Ages Eligible for Study:   18 Years and older   (Adult, Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes

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.

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT00673283

United States, North Carolina
Duke University Medcal Center
Durham, North Carolina, United States, 27705
Sponsors and Collaborators
Duke University
Principal Investigator: Ehsan Samei, PhD Duke University

Publications of Results:
Responsible Party: Duke University Identifier: NCT00673283     History of Changes
Other Study ID Numbers: Pro00008644
First Posted: May 7, 2008    Key Record Dates
Last Update Posted: August 1, 2014
Last Verified: January 2013

Keywords provided by Duke University:
lung cancer

Additional relevant MeSH terms:
Lung Neoplasms
Neoplasm Metastasis
Respiratory Tract Neoplasms
Thoracic Neoplasms
Neoplasms by Site
Lung Diseases
Respiratory Tract Diseases
Neoplastic Processes
Pathologic Processes