Optimization of Bedside Chest X-rays Taken in the Intensive Care Unit by Using Current Software-based Techniques

X-Rays Clinical Trial

Official title:

Optimization of Bedside Chest X-rays Taken in the Intensive Care Unit by Using Current Software-based Techniques

Clinical Trial Details — Status: Active, not recruiting

Administrative data

• NCT number: NCT05025319
• Other study ID #: R19100 (PHKS)
• Status: Active, not recruiting
• Start date: August 1, 2020
• Est. completion date: December 31, 2028

Study information

• Verified date: March 2024
• Source: Joint Authority for Päijät-Häme Social and Health Care
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

This study investigates how to utilize an algorithm-based virtual grid in lung imaging in intensive care unit patients. The aim is to compare the radiation dose caused by imaging with a virtual grid and a traditional grid and relate this to the achieved image quality. The study aims to determine how the radiation dose can be lowered and still obtain the same diagnostic image quality as using a traditional scatter-limiting lattice.

Recruitment information / eligibility

• Status: Active, not recruiting
• Enrollment: 500
• Est. completion date: December 31, 2028
• Est. primary completion date: December 31, 2027
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• All patients in the intensive care unit with an imaging of the lung.

Exclusion Criteria:

• Pregnancy

Related Conditions & MeSH terms

• X-Rays

Intervention

Radiation:
• X-ray image
Bedside x-ray at intensive unit.

Locations

Country	Name	City	State
Finland	Joint Authority for Päijät-Häme Social and Health Care	Lahti

Sponsors (2)

Lead Sponsor	Collaborator
Joint Authority for Päijät-Häme Social and Health Care	Tampere University

Country where clinical trial is conducted

Finland, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Image quality	Compare the radiation dose caused by imaging with a virtual grid and a traditional grid and relate this to the achieved image qualit	2 years