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

NCT05025319 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2024-03-25

No results posted yet for this study

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.

Conditions

  • X-Rays

Interventions

RADIATION

X-ray image

Bedside x-ray at intensive unit.

Sponsors & Collaborators

  • Tampere University

    collaborator OTHER

  • Joint Authority for Päijät-Häme Social and Health Care

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-08-01
Primary Completion
2027-12-31
Completion
2028-12-31
FDA Device
Yes

Countries

  • Finland

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05025319 on ClinicalTrials.gov