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

March 22, 2024 updated by: Marjo Soini, Joint Authority for Päijät-Häme Social and Health Care
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.

Study Overview

Status

Active, not recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Estimated)

500

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Finland
      • Lahti, Finland, 15850
        • Joint Authority for Päijät-Häme Social and Health Care

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Intensive care patients

Description

Inclusion Criteria:

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

Exclusion Criteria:

  • Pregnancy

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Retrospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Taditional Grid
Patients imaged with traditional grid
Radiation: X-ray image
Bedside x-ray at intensive unit.
Virtual Grid
Patients imaged with virtual grid
Radiation: X-ray image
Bedside x-ray at intensive unit.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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
2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Joint Authority for Päijät-Häme Social and Health Care

Collaborators

Tampere University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 1, 2020

Primary Completion (Estimated)

December 31, 2027

Study Completion (Estimated)

December 31, 2028

Study Registration Dates

First Submitted

August 26, 2021

First Submitted That Met QC Criteria

August 26, 2021

First Posted (Actual)

August 27, 2021

Study Record Updates

Last Update Posted (Actual)

March 25, 2024

Last Update Submitted That Met QC Criteria

March 22, 2024

Last Verified

March 1, 2024

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • R19100 (PHKS)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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