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

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT05025319

Enrollment

500

Registered

2021-08-27

Start date

2020-08-01

Completion date

2028-12-31

Last updated

2024-03-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

X-Rays

Keywords

Imaging, Grid, X-ray, Image quality

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.

Interventions

RADIATIONX-ray image

Bedside x-ray at intensive unit.

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Inclusion criteria

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

Exclusion criteria

* Pregnancy

Design outcomes

Primary

Measure	Time frame	Description
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

Countries

Finland

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026