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

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Duke University

Status and phase

Completed
Early Phase 1

Conditions

Lung Cancer
Metastatic Cancer in the Lungs

Treatments

Device: bi-plane chest radiography

Study type

Interventional

Funder types

Other

Identifiers

NCT00673283
Pro00008644
2485-07-6R6

Details and patient eligibility

About

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.

Enrollment

86 patients

Sex

All

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

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.

Trial design

Primary purpose

Diagnostic

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

86 participants in 1 patient group

A
Experimental group
Treatment:
Device: bi-plane chest radiography

Trial contacts and locations

0

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Data sourced from clinicaltrials.gov

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