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

NCT04043832 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 80

Last updated 2019-08-02

No results posted yet for this study

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

Interventions

DIAGNOSTIC_TEST

quantitative ultrasonic technique

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

Sponsors & Collaborators

  • Peking University Third Hospital

    lead OTHER

Principal Investigators

  • Jingfeng Li, Bachelor · Peking University Third Hospital

Eligibility

Min Age
18 Years
Max Age
55 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2017-05-01
Primary Completion
2019-05-15
Completion
2019-06-01

Countries

  • China

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 NCT04043832 on ClinicalTrials.gov