Frequency Analysis of the Ultrasound Images in Rotator Cuff Tendon

April 22, 2021 updated by: National Taiwan University Hospital
Previous studies used spatial frequency analysis of tendon ultrasound images and considered that the parameters can reflect the micro-structure of the tendon. In this study, we try to recruit and analysis the rotator cuff tendon in healthy adults with different ages and different equipment to explore the the normal range and differences of spatial frequency parameters. The hypotheses of this study are (1) the young and the elderly would have significantly different spatial frequency value; and (2) there would be significant different results between different equipment.

Study Overview

Status

Not yet recruiting

Detailed Description

Tendons are hierarchical fibrous tissues. The speckle signals of ultrasonic images have parallel stripes arranged along the long axis of the tendon, reflecting the arrangement of collagen fiber bundles in the tendon. The micro-structure of tendons can be quantified by analyzing the speckle pattern of ultrasonic images. A research team used fast Fourier transform to convert ultrasound images of tendons into two-dimensional spatial frequency spectra, and used linear discriminate analysis to calculate multiple spatial frequency parameters. The results indicated that there were 5 parameters with the highest accuracy in discriminating Achilles tendinopathy. There is a significant difference in the spectrum frequency parameters of whether the tendon was loaded and whether there was a tendinopathy tendon. Past studies using spatial frequency analysis in patients with shoulder pain, and they found that there was no significant difference between the asymptomatic control group and shoulder pain patients. The risk factors of rotator cuff tendon injury is related advanced age, dominant hand, and repeated overhead activities. Therefore, in this study, we will recruit participants of different ages and investigate the results of spatial frequency analysis of bilateral shoulders ultrasound images. The aim of this study is to know whether these factors may affect the micro-structure of the rotator cuff tendons and establish the reference norm of spatial frequency analysis parameters in those without obvious tendon degeneration or injury. In addition, we aim to compare the differences between spectrum analysis parameters with several instruments by using different ultrasonic equipment. This study could provide a reference for the clinical application of spatial frequency analysis in tendon ultrasound images.

Study Type

Observational

Enrollment (Anticipated)

40

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

20 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

adults from NTUH rehabilitation outpatient department, from NTU, or adults in connection with colleagues in the NTUH rehabilitation department or School and Graduate Institute of Physical Therapy in Collage of Medicine of NTU.

Description

Inclusion Criteria:

  • (1) age between 20-40 or age over 60;
  • (2) no bilateral shoulder pain or discomfort within six months;
  • (3) no past diagnosis in shoulder or upper extremities.

Exclusion Criteria:

  • (1) fracture of upper extremities before;
  • (2) be diagnosed as neck radiculopathy, central nervous system lesion of brain, or peripheral nervous system lesion of upper extremities;
  • (3) rheumatoid arthritis or autoimmune disease;
  • (4) have received any shoulder injection or surgery;
  • (5) tendon tear in shoulder sonograms.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
the young group
healthy participants age between 20 and 40
the elder group
healthy participants age over 60

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
spatial frequency analysis parameters
Time Frame: Day 1
spatial frequency analysis in the ultrasound images of rotator cuff tendon
Day 1

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Chao Yuan-Hung, PhD, National Taiwan University Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

April 1, 2021

Primary Completion (Anticipated)

September 1, 2021

Study Completion (Anticipated)

September 1, 2021

Study Registration Dates

First Submitted

April 19, 2021

First Submitted That Met QC Criteria

April 22, 2021

First Posted (Actual)

April 26, 2021

Study Record Updates

Last Update Posted (Actual)

April 26, 2021

Last Update Submitted That Met QC Criteria

April 22, 2021

Last Verified

April 1, 2021

More Information

Terms related to this study

Other Study ID Numbers

  • 202102043RINA

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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