Literature DB >> 28653292

Development of an Electromechanical Grade to Assess Human Knee Articular Cartilage Quality.

Sotcheadt Sim1,2, Insaf Hadjab1,2, Martin Garon2, Eric Quenneville2, Patrick Lavigne3, Michael D Buschmann4,5.   

Abstract

Quantitative assessments of articular cartilage function are needed to aid clinical decision making. Our objectives were to develop a new electromechanical grade to assess quantitatively cartilage quality and test its reliability. Electromechanical properties were measured using a hand-held electromechanical probe on 200 human articular surfaces from cadaveric donors and osteoarthritic patients. These data were used to create a reference electromechanical property database and to compare with visual arthroscopic International Cartilage Repair Society (ICRS) grading of cartilage degradation. The effect of patient-specific and location-specific characteristics on electromechanical properties was investigated to construct a continuous and quantitative electromechanical grade analogous to ICRS grade. The reliability of this novel grade was assessed by comparing it with ICRS grades on 37 human articular surfaces. Electromechanical properties were not affected by patient-specific characteristics for each ICRS grade, but were significantly different across the articular surface. Electromechanical properties varied linearly with ICRS grade, leading to a simple linear transformation from one scale to the other. The electromechanical grade correlated strongly with ICRS grade (r = 0.92, p < 0.0001). Additionally, the electromechanical grade detected lesions that were not found visually. This novel grade can assist the surgeon in assessing human knee cartilage by providing a quantitative and reliable grading system.

Entities:  

Keywords:  Cartilage diagnostic; Electromechanical reference database; ICRS grade; Osteoarthritis; Streaming potentials

Mesh:

Year:  2017        PMID: 28653292     DOI: 10.1007/s10439-017-1879-4

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  5 in total

1.  Nondestructive Assessment of Articular Cartilage Electromechanical Properties after Osteochondral Autologous and Allogeneic Transplantation in a Goat Model.

Authors:  Tomas Mickevicius; Alius Pockevicius; Audrius Kucinskas; Rimtautas Gudas; Justinas Maciulaitis; Arvydas Usas
Journal:  Cartilage       Date:  2018-07-12       Impact factor: 4.634

Review 2.  Engineering Aspects of Incidence, Prevalence, and Management of Osteoarthritis: A Review.

Authors:  Dhirendra Kumar Verma; Poonam Kumari; Subramani Kanagaraj
Journal:  Ann Biomed Eng       Date:  2022-01-21       Impact factor: 3.934

3.  In vivo biochemical assessment of cartilage with gagCEST MRI: Correlation with cartilage properties.

Authors:  Sander Brinkhof; Razmara Nizak; Sotcheadt Sim; Vitaliy Khlebnikov; Eric Quenneville; Martin Garon; Dennis W J Klomp; Daniel Saris
Journal:  NMR Biomed       Date:  2020-12-22       Impact factor: 4.044

4.  Biomechanical Changes of Repair Tissue after Autologous Chondrocyte Implantation at Long-Term Follow-Up.

Authors:  Teemu Paatela; Anna Vasara; Heikki Nurmi; Hannu Kautiainen; Jukka S Jurvelin; Ilkka Kiviranta
Journal:  Cartilage       Date:  2020-05-23       Impact factor: 3.117

5.  Comparison Between Arthroscopic and Histological International Cartilage Repair Society Scoring Systems in Porcine Cartilage Repair Model.

Authors:  Jani Puhakka; Eve Salonius; Teemu Paatela; Virpi Muhonen; Anna Meller; Anna Vasara; Hannu Kautiainen; Jussi Kosola; Ilkka Kiviranta
Journal:  Cartilage       Date:  2022 Jan-Mar       Impact factor: 3.117

  5 in total

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