Muscle Disorder Clinical Trial
Official title:
A New Method of Muscle Strength Testing Using a Quantitative Ultrasonic Technique and a Convolutional Neural Network
NCT number | NCT04043832 |
Other study ID # | M20190702 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | May 1, 2017 |
Est. completion date | June 1, 2019 |
Verified date | July 2019 |
Source | Peking University Third Hospital |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational [Patient Registry] |
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.
Status | Completed |
Enrollment | 80 |
Est. completion date | June 1, 2019 |
Est. primary completion date | May 15, 2019 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 55 Years |
Eligibility |
Inclusion Criteria: - 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 Exclusion Criteria: - |
Country | Name | City | State |
---|---|---|---|
China | Peking Univercity Third Hospital | Beijing | No State Or Province |
Lead Sponsor | Collaborator |
---|---|
Peking University Third Hospital |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | 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 |
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