ClinicalTrials.gov
public full text
Public Domain
Diagnostic Effectiveness of Virtual Bronchoscopy
This study will evaluate a new technique for examining the air passages of the lungs called "virtual bronchoscopy." It involves using computed tomography (CT) images of the chest to generate a 3-dimensional model of the walls of the trachea and bronchi (airway passages). This non-invasive method lets doctors see small masses and areas of narrowing in the passages without having to do surgery or pass a tube through them. Patients with diseases of the air passages who are enrolled in an NIH clinical trial may participate in this study, which requires having a CT scan. The patient lies on a table that slowly slides into a hole in a donut-shaped X-ray machine (the scanner). Patients may have to hold their breath several times during the procedure. Some patients may be given an injection of a contrast agent through a catheter (thin tube) placed in an arm vein to improve visibility of abnormalities. Patients may also be asked to breathe oxygen through nasal prongs to allow them to hold their breath longer. The procedure usually takes 15 to 20 minutes.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Evaluation of a New Open Source Virtual Bronchoscope Navigation System#1126367
- Virtual Bronchoscopic Navigation to Increase Diagnostic Yield in Patients With Pulmonary Nodules#888898
- Feasibility of Mobile-CT-Assisted Bronchoscopy for the Diagnosis of Lung Lesion#880140
- Shape and Dimensions of the Upper Airway in Infants Using Computed Tomography Imaging#1173154
- Transplant Optimization Using Functional Imaging (TROFI)#850348
Record · ID 908513
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive