Analysis of Joint Sounds in the Diagnosis of Knee Disorders

Knee Arthroscopy Clinical Trial

— Joint  

Official title:

Analysis of Joint Sounds in the Diagnosis of Knee Disorders

Clinical Trial Details — Status: Withdrawn

Administrative data

• NCT number: NCT02294045
• Other study ID #: 5120242
• Status: Withdrawn
• Start date: January 20, 2017
• Est. completion date: May 18, 2018

Study information

• Verified date: June 2021
• Source: Loma Linda University
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

Clinical-noninvasive recording of sounds from the knees through a brief loaded range of motion. Description in phase 1 analytic but descriptive as well in phase 2. No samples other than a sound recording. The device is known microphone attached to the skin of the knee with elastic material. Sound recorded and analyzed on a lap top computer with Adobe software.

Description:

There is a need for a less expensive and more universally available screening device for the knee, and other joint pathology. The equipment used for ultrasound is much less expensive and cumbersome than that of an x-ray or magnetic resonance imaging. The equipment we will use for the analysis of sound produced by the body itself is an order of magnitude less expensive than ultrasound; such as a laptop computer with currently available software and an inexpensive transducer. Analysis of sound has proved useful in Pulmonology and Cardiology. We believe sound analysis will provide a useful yet inexpensive tool for primary care physicians as well as musculoskeletal specialists. Phase 1: Establish the normal sound patterns emanating from the uninjured knee; we will look for the influence of age, height and weight. Phase 2: To record and analyze the preoperative sound patterns from the knees with pathology, known by MRI and arthroscopy, then compare them with the normal sounds from Phase 1.

Recruitment information / eligibility

• Status: Withdrawn
• Enrollment: 0
• Est. completion date: May 18, 2018
• Est. primary completion date: February 18, 2018
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years to 70 Years

Eligibility

Inclusion Criteria:

Phase I

• Healthy Individuals.
• No neurological problems.
• No knee complaints.
• No previous Surgery or Knee injuries. Phase II Patients undergoing knee arthroscopy who have pre-op MRI. The inclusion will be based on age group, 20 years of age, 40 and 60.

Exclusion Criteria:

• Neurologic Disease
• Previous serious injury (Fracture or dislocation).
• Previous Ligament reconstruction.
• Major non-subtitle problems with their knees. (This would create overwhelming noises).

Related Conditions & MeSH terms

• Arthritis
• Arthritis of Knee
• Knee Arthroscopy
• Normal Knee

Locations

Country	Name	City	State
n/a

Sponsors (1)

Lead Sponsor	Collaborator
Loma Linda University

References & Publications (1)

Ludloff D. ie Auskultation der Wirbelsäule, des Kreuzbeins und des Reckens. Münchener medizinische wochenschrift, LIII, 1197, 1906. Walters CF. The Value of Joint Auscultation. In: The Lancet, 1:920-921. 1929. Rangayyan RM, Wu YF. Screening of Knee-Joint Vibroarthrographic Signals Using Statistical Parameters and Radial Basis Functions. In: Medical & Biological Engineering & Computing 46 (3) 2008: pp. 223-232. Chu ML, Gradisar IA, Zavodney LD. Possible Clinical Application of a Noninvasive Monitoring Technique of Cartilage Damage in Pathological Knee Joints. In: Journal of Clinical Engineering 3 (1), 1978: pp. 19-27. McCoy GF, McCrea JD, Beverland DE, Kernohan WG, Mollan RAB. Vibration Arthrography as a Diagnostic Aid in Diseases of the Knee. In: The Journal of Bone and Joint Surgery 69-B (2), 1987: pp. 288-293. Reddy NP, Rothschild BM, Mandal, M, Gupta V, Suryanarayanan S. Noninvasive Acceleration Measurements to Characterize Knee Arthritis and Chondromalacia. In: Annals of Biomedical Engineering, v. 23, pp. 78-84, 1995. Krishnan S, Rangayyan RM, Bell GD, Frank CB, and Ladly KO. Adaptive Filtering, Modeling, and Classification of Knee Joint Vibroarthrographic Signals for Noninvasive Diagnosis of Articular Cartilage Pathology. In: Medical and Biological Engineering and Computing, 35(6):677-684, 1997.

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Analysis of Joint Sounds in the Diagnosis of Knee Disorders	Phase 1: Analysis will be carried out on the recording from apparently normal knees, sounds are amplification, wave form and filtering. Effects of age, height and weight. Phase 2: analysis of sound will br carried out by a researcher blinded to the MRI and arthroscopic pathology, Then, comparison of the abnormal sounds to the pathology found on the MRI and Arthroscopy to look for correlations.	1 -2 years