Clinical trial NCT02294045: Analysis of Joint Sounds in the Diagnosis of Knee Disorders
Official title: Analysis of Joint Sounds in the Diagnosis of Knee Disorders
Study type: OBSERVATIONAL
Overall status: WITHDRAWN
Conditions: Arthritis of Knee
Normal Knee
Knee Arthroscopy
Keywords: Knee
Healthy
arthroscopy
MRI
amplification
sounds
pre-operative
analyzing
Lead sponsor: Loma Linda University
Sponsor class: OTHER
First posted: 2014-11-19
Enrollment: 0
Sex: ALL
Minimum age (years): 18
Maximum age (years): 70
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Observational model: CASE_ONLY
Time perspective: PROSPECTIVE
Sampling method: PROBABILITY_SAMPLE
Study population: Male or female english-speaking from the ages of 18 thru 70

Brief 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.

Detailed 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.

Eligibility criteria: 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).

Primary outcomes:
measure: Analysis of Joint Sounds in the Diagnosis of Knee Disorders
timeFrame: 1 -2 years
Secondary outcomes:
Other outcomes:
Locations:
Study officials:
References:
citation: 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.