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

Sponsor
Joint Authority for Päijät-Häme Social and Health Care (Other)
Overall Status
Active, not recruiting
CT.gov ID
NCT05025319
Collaborator
Tampere University (Other)
500
1
77
6.5

Study Details

Study Description

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.

Condition or Disease Intervention/Treatment Phase
  • Radiation: X-ray image

Study Design

Study Type:
Observational
Anticipated Enrollment :
500 participants
Observational Model:
Cohort
Time Perspective:
Retrospective
Official Title:
Optimization of Bedside Chest X-rays Taken in the Intensive Care Unit by Using Current Software-based Techniques
Actual Study Start Date :
Aug 1, 2020
Anticipated Primary Completion Date :
Dec 31, 2025
Anticipated Study Completion Date :
Dec 31, 2026

Arms and Interventions

Arm 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.

Outcome Measures

Primary Outcome Measures

  1. 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

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • All patients in the intensive care unit with an imaging of the lung.
Exclusion Criteria:
  • Pregnancy

Contacts and Locations

Locations

Site City State Country Postal Code
1 Joint Authority for Päijät-Häme Social and Health Care Lahti Finland 15850

Sponsors and Collaborators

  • Joint Authority for Päijät-Häme Social and Health Care
  • Tampere University

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Marjo Soini, Joint Authority for Päijät-Häme Social and Health Care, Joint Authority for Päijät-Häme Social and Health Care
ClinicalTrials.gov Identifier:
NCT05025319
Other Study ID Numbers:
  • R19100 (PHKS)
First Posted:
Aug 27, 2021
Last Update Posted:
Aug 27, 2021
Last Verified:
Aug 1, 2021
Individual Participant Data (IPD) Sharing Statement:
Undecided
Plan to Share IPD:
Undecided
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
Keywords provided by Marjo Soini, Joint Authority for Päijät-Häme Social and Health Care, Joint Authority for Päijät-Häme Social and Health Care

Study Results

No Results Posted as of Aug 27, 2021