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OpenTrials
Active, Not Recruiting

NCT Number: NCT05025319

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

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.

Active, Not Recruiting

This study is active but is not currently recruiting participants.

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Key information

Conditions

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Joint Authority for Päijät-Häme Social and Health Care

Lahti, 15850, Finland

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

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

Exclusion criteria

  • Pregnancy

Treatment and study plan

X-ray image

Radiation

Bedside x-ray at intensive unit.

Primary outcomes

  1. Image quality

    Time frame: 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

Sponsors and collaborators

Lead sponsor

Joint Authority for Päijät-Häme Social and Health Care

Other

Collaborators

  • Tampere University

Registry information

Important dates

Study start
2020
Primary completion
2027
Study completion
2028
First posted
Aug 27, 2021
Registry last updated
Mar 25, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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