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

Active, not recruiting

• Conditions: X-Rays
• Interventions: Radiation: X-ray image

• Registration Number: NCT05025319
• Lead Sponsor: Joint Authority for Päijät-Häme Social and Health Care

Brief 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.

Detailed Description

Not available

Study Timeline

• Study Start: 2020-08-01
• Study First Submitted: 2021-08-26
• Study First Submitted QC: 2021-08-26
• Study First Posted: 2021-08-27
• Status Verified: 2024-03
• Last Update Submitted: 2024-03-22
• Last Update Posted: 2024-03-25
• Primary Completion: 2027-12-31
• Study Completion: 2028-12-31

Recruitment & Eligibility

• Status: ACTIVE_NOT_RECRUITING
• Sex: All
• Target Recruitment: 500

Inclusion Criteria

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

Exclusion Criteria

• Pregnancy

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
Taditional Grid	X-ray image	Patients imaged with traditional grid
Virtual Grid	X-ray image	Patients imaged with virtual grid

Primary Outcome Measures

Name	Time	Method
Image quality	2 years	Compare the radiation dose caused by imaging with a virtual grid and a traditional grid and relate this to the achieved image qualit

Trial Locations

Locations (1)

Joint Authority for Päijät-Häme Social and Health Care; 🇫🇮 Lahti, Finland