Clinical trial · Interventional
Early Detection of Lung Cancer Via Bi-plane Correlation Chest Imaging
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Lung Cancer | Malignant Lung Neoplasm | CURATED_EXACT | 0.92 |
| Metastatic Cancer in the Lungs | Lung Neoplasm | PROBABILISTIC | 0.70 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| bi-plane chest radiography | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- A
- interventionNames
- Device: bi-plane chest radiography
Primary outcomes (1)
- measure
- The technique is effective in diagnosing early lung tumors.
- timeFrame
- end of the study
Secondary outcomes (1)
- measure
- The relative performance of BCI with respect to chest radiography and CT for lung cancer detection.
- timeFrame
- end of the study
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
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.
References
Publications (1)
- RESULTSamei 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. PMID 17449766