Clinical Trials Directory

Trials / Completed

CompletedNCT06034093

Real-time Artificial Intelligent (AI)-Assisted Muscle Ultrasound for Monitoring Muscle Mass Reduction in ICU Patients

Real-time AI-assisted Muscle Ultrasound for Monitoring Muscle Mass Reduction in Intensive Care Unit Patients

Status
Completed
Phase
N/A
Study type
Interventional
Enrollment
254 (actual)
Sponsor
Oxford University Clinical Research Unit, Vietnam · Academic / Other
Sex
All
Age
16 Years
Healthy volunteers
Not accepted

Summary

This study aims to investigate the feasibility of using a real-time artificial intelligent (AI)-assisted tool for Rectus Femoris cross sectional area measurement from muscle ultrasound to improve reliability, reduce inter- and intra-observer variability and reduce operator time spent on ultrasound examination

Detailed description

This project proposes to develop computational methods to automatically analyze conventional 2D muscle ultrasound images in real time to assist operators circumvent achieve high quality reproducible views and measurements specifically for Rectus Femoris muscle. Study design: This is a prospective observational study to test the reliability of AI-assisted muscle ultrasound at the patient's bedside compared to standard RFCSA ultrasound. All measurements will be performed in adult patients with severe tetanus (Ablett Grade 3 or 4) admitted to the Adult ICU at HTD expected to stay at least 5 days. All patients are on mechanical ventilation, muscle relaxation and neuromuscular blockers following the Ministry of Health guidelines. Study procedures: Three ultrasound examinations will be carried out according to a standard operating procedure where patients are in the supine position with the leg in neutral rotation. Measurements will be taken using 12L-RS linear probe, Venue Go ultrasound machine (General Electric Healthcare, London, UK). Statistical analysis: Study will compare the intra- and interobserver variability of measurements and examination duration. All statistical analysis was performed with R version 4.0.4.

Conditions

Interventions

TypeNameDescription
DEVICEReal-time AI-assisted muscle ultrasoundRAIMUS software provides automatic segmentation and size measurement for the RFCSA

Timeline

Start date
2020-06-01
Primary completion
2023-08-10
Completion
2023-10-31
First posted
2023-09-13
Last updated
2024-03-20

Locations

1 site across 1 country: Vietnam

Source: ClinicalTrials.gov record NCT06034093. Inclusion in this directory is not an endorsement.