Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Evaluation of the Lung Nodule Sensitivity of Stationary Chest Tomosynthesis in Patients With Known Lung Nodules

UNC Lineberger Comprehensive Cancer Center · 2014
ClinicalTrials.gov · Datasets · License: Public Domain · 2014
Open Source ↗
ctlungna
Purpose: The proposed research, if successfully implemented, will result in a low-dose, low-cost, and highly effective method for screening of lung cancer, leading to reduction of the lung cancer mortality rate. Using the stationary Digital Chest Tomosynthesis (s-DCT) system the imaging dose for a full tomosynthesis scan is expected to be only 10% of that from a low-dose computed tomography (CT). The targeted imaging time of 2s is 1/5 to 1/3 of that from a current commercial digital chest tomosynthesis (DCT) system at the same imaging dose. Beyond lung cancer screening, the low-dose and sensitive 3D lung imaging modality will likely to find applications in areas such as monitoring of pediatric cystic fibrosis patients where reduction of imaging dose is critical. Participants: One hundred (100) patients undergoing a clinical non-contrast CT for their lung nodules will be asked to have this procedure (scan) within 2 weeks (+/- 1 week) of their clinical CT and chest radiograph, with no intervening procedures or therapies. Procedures (methods): The purpose and endpoint of this study is to compare the sensitivity of the s-DCT system to the conventional chest radiographs with non-contrast chest CT as the reference standard. One hundred (100) patients undergoing a clinical non-contrast CT for their lung nodules will be asked to have this procedure (scan) within 2 weeks (+/- 1 week) of their clinical CT and chest radiograph, with no intervening procedures or therapies.
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

Record · ID 1336893
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