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

NCT00673283 · Status: COMPLETED · Phase: EARLY_PHASE1 · Type: INTERVENTIONAL · Enrollment: 86

Last updated 2014-08-01

No results posted yet for this study

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.

Conditions

Interventions

DEVICE

bi-plane chest radiography

Bi-plane radiography of the thorax

Sponsors & Collaborators

Principal Investigators

  • Ehsan Samei, PhD · Duke University

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2007-04-30
Primary Completion
2008-11-30
Completion
2008-11-30

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT00673283 on ClinicalTrials.gov