A New Method of Muscle Strength Testing Using a Quantitative Ultrasonic Technique and a Convolutional Neural Network

NCT04043832 | Completed

• 1 other identifier: M20190702
• Study Type: observational
• Target: 80
• Locations: 1 country
• Sites: 1

Brief Summary

In addition to muscle thickness and average echo intensity, this study aimed to use quantitative ultrasonic technology to increase the number of related parameters of power Doppler ultrasonography measured to describe the number, quality, and recruitment level of muscles. In addition, this method was compared with the existing muscle strength testing methods. Image recognition was performed using the traditional multivariate linear regression statistical method and the AI convolutional neural network algorithm to investigate the application of quantitative ultrasonic technology for direct evaluation of muscle strength in clinical practice.

Conditions

Muscle Disorder

Outcome Measures

Primary Outcomes (1)

• Multivariate linear regression results

  The quantitative ultrasonic technology parameters (muscle thickness, average muscle echo intensity, and corrected power ultrasonic intensity) and muscle strength parameter (knee extension peak torque) were introduced into SPSS 6.0 for data processing via multivariate linear correlation analysis.

  2/6/2019

Interventions

quantitative ultrasonic technique DIAGNOSTIC_TEST

Collection of all quantitative ultrasonic data was performed by one ultrasound physician

Eligibility Criteria

• Age: 18 Years - 55 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)
• Sampling Method: Probability Sample

Study Population

This study recruited 80 volunteers including 54 healthy volunteers, 24 unilateral quadriceps atrophy patients and 2 bilateral quadriceps atrophy patients

You may qualify if:

• no major complaints of muscle numbness, spasm, or atrophy, muscle-related physical activity impairment or joint swelling and pain
• no obvious malformation in the lower limbs
• no disease history in the musculoskeletal system, nervous system, and peripheral blood,
• no history of severe trauma in the lower limbs
• joint mobility and muscle tension met the thresholds of muscle strength assessments
• no severe osteoporosis
• no acute inflammation or acute bone fracture repair
• between 18-55 years of age

Sponsors & Collaborators

• Peking University Third Hospital: lead

Study Sites (1)

Peking Univercity Third Hospital

Beijing, No State Or Province, 100191, China

Location

MeSH Terms

Conditions

Muscular Diseases

Condition Hierarchy (Ancestors)

Musculoskeletal Diseases; Neuromuscular Diseases; Nervous System Diseases

Study Officials

• Jingfeng Li, Bachelor

  Peking University Third Hospital

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: PROSPECTIVE
• Target Duration: 1 Day
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: July 11, 2019
• First Posted: August 2, 2019
• Study Start: May 1, 2017
• Primary Completion: May 15, 2019
• Study Completion: June 1, 2019
• Last Updated: August 2, 2019

Record last verified: 2019-07

Locations

CN (1)