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

Joint Authority for Päijät-Häme Social and Health Care

Status: Active, not recruiting

Conditions: X-Rays

Treatments: Radiation: X-ray image

Study type: Observational

Funder types: Other

Identifiers

NCT05025319

R19100 (PHKS)

Details and patient eligibility

About

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.

Enrollment: 500 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

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

Exclusion criteria

• Pregnancy

Trial design

500 participants in 2 patient groups

Taditional Grid

Description:

Patients imaged with traditional grid

Treatment:

Radiation: X-ray image

Virtual Grid

Description:

Patients imaged with virtual grid

Treatment:

Radiation: X-ray image