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

NCT ID: NCT00673283

Last Updated: 2014-08-01

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

EARLY_PHASE1

Total Enrollment

86 participants

Study Classification

INTERVENTIONAL

Study Start Date

2007-04-30

Study Completion Date

2008-11-30

Brief Summary

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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.

Detailed Description

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Conditions

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Lung Cancer Metastatic Cancer in the Lungs

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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A

Group Type EXPERIMENTAL

bi-plane chest radiography

Intervention Type DEVICE

Bi-plane radiography of the thorax

Interventions

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bi-plane chest radiography

Bi-plane radiography of the thorax

Intervention Type DEVICE

Eligibility Criteria

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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.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Duke University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Ehsan Samei, PhD

Role: PRINCIPAL_INVESTIGATOR

Duke University

Locations

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Duke University Medcal Center

Durham, North Carolina, United States

Site Status

Countries

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United States

References

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Samei E, Stebbins SA, Dobbins JT 3rd, McAdams HP, Lo JY. Multiprojection correlation imaging for improved detection of pulmonary nodules. AJR Am J Roentgenol. 2007 May;188(5):1239-45. doi: 10.2214/AJR.06.0843.

Reference Type RESULT
PMID: 17449766 (View on PubMed)

Other Identifiers

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2485-07-6R6

Identifier Type: -

Identifier Source: secondary_id

Pro00008644

Identifier Type: -

Identifier Source: org_study_id

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