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

The Value of Ultralow Dosis CT and Ultrasound in the Diagnosing of Pneumonia in the Emergency Department

University of Southern Denmark · 2021
ClinicalTrials.gov · Datasets · License: Public Domain · 2021
Open Source ↗
pneumoniarespiratory-tract-infectionsultrasound
Pneumonia is one of the most common infections in the emergency department (ED). Nevertheless, the current diagnostic tools are often slow and inaccurate. Currently, a chest x-ray is the first choice for diagnostic imaging for pneumonia in the ED, but is inaccurate with low sensitivity and specificity, resulting in both over-and underdiagnosing of pneumonia. Alternatively, computer thermography (CT) and high-resolution CT (HR-CT) offers high diagnostic accuracy but involves significantly increased radiation to the patient, and increased costs and examination time. Lately, two alternatives to chest x-ray have emerged: * The first is lung ultrasound (LUS) which has shown higher sensitivity and specificity for pneumonia than a chest x-ray when performed by experts. However, the diagnostic accuracy of lung ultrasound performed by novice operators in the ED still needs investigation. * The second alternative to chest x-ray is ultra-low-dose CT (ULD-CT). A ULD-CT is a CT scan where the radiation dose is significantly reduced, while still maintaining acceptable image quality. In effect merging the high diagnostic accuracy of chest CT with the low radiation doses of chest X-ray. The aim of this study is to investigate the diagnostic accuracy of LUS by novice operators in the ED and the diagnostic accuracy of ULD-CT thorax, in patients suspected of having pneumonia.
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 887164
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