Literature DB >> 33437381

A digital method of measuring cartilage defects under an arthroscope.

Shuang Ren1, Zhenlong Liu1, Yanfang Jiang1, Qingyang Meng1, Jingxian Zhu1, Zhenxing Shao1, Xiaoqing Hu1, Xi Gong1, Yingfang Ao1.   

Abstract

Measurements of cartilage defect size under an arthroscope are essential for prognosis and treatment decisions. A new method called arthroscopic measurement by computer graphics (ACG) was developed to accurately calculate the size of the cartilage under an arthroscope. This study aimed to validate the accuracy and utility of this method. In this controlled laboratory study, the ACG method was validated by measuring the sizes of three cartilage defects in a knee joint of a pig, using the following techniques: traditional arthroscopic measurement by ruler (TAR), ACG, incised measurement by computer graphics (ICG), and incised measurement by ruler (IR, control, gold standard). Measurements were conducted by two blinded trained observers. Intra- and inter-observer variabilities were determined by calculating the intra-class correlation coefficient (ICC). Consistency among TAR, ACG, ICG and IR was analyzed using the command "Concord" in Stata. For arthroscopic measurements using ACG and ICG, the overall ICC intra- and inter-observer values were 0.99 and 0.98, respectively, which showed excellent reproductivity. The concord value showed consistency of various approaches relative to the gold standard method. The average concord value for TAR was 0.813, and the average concord value for ACG and ICG was 0.886 and 0.917, respectively. ACG utilizes computer graphics for measuring the size of cartilage defects of any size under an arthroscope, without reconditioning the injured cartilage. ACG showed excellent intra- and inter-observer reproducibility and satisfactory accuracy. This method would make it possible to more accurately match the graft with the defect, thereby facilitating cartilage repair. AJTR
Copyright © 2020.

Entities:  

Keywords:  Measurement; computer graphics; under arthroscope

Year:  2020        PMID: 33437381      PMCID: PMC7791510     

Source DB:  PubMed          Journal:  Am J Transl Res        ISSN: 1943-8141            Impact factor:   4.060


  9 in total

1.  Statistical methods for assessing agreement between two methods of clinical measurement.

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Authors:  Jan P Benthien; Peter Behrens
Journal:  Knee       Date:  2015-07-16       Impact factor: 2.199

3.  Reliability, reproducibility and variability of the traditional Histologic/Histochemical Grading System vs the new OARSI Osteoarthritis Cartilage Histopathology Assessment System.

Authors:  R J H Custers; L B Creemers; A J Verbout; M H P van Rijen; W J A Dhert; D B F Saris
Journal:  Osteoarthritis Cartilage       Date:  2007-06-18       Impact factor: 6.576

4.  Effect of pore size on ECM secretion and cell growth in gelatin scaffold for articular cartilage tissue engineering.

Authors:  Sio-Mei Lien; Liang-Yu Ko; Ta-Jen Huang
Journal:  Acta Biomater       Date:  2008-10-10       Impact factor: 8.947

5.  All-Arthroscopic Autologous Matrix-Induced Chondrogenesis for the Treatment of Osteochondral Lesions of the Talus.

Authors:  Federico Giuseppe Usuelli; Laura de Girolamo; Miriam Grassi; Riccardo D'Ambrosi; Umberto Alfieri Montrasio; Michele Boga
Journal:  Arthrosc Tech       Date:  2015-06-08

6.  All-arthroscopic AMIC procedure for repair of cartilage defects of the knee.

Authors:  Tomasz Piontek; Kinga Ciemniewska-Gorzela; Andrzej Szulc; Jakub Naczk; Michał Słomczykowski
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-09-11       Impact factor: 4.342

7.  Agreement in Arthroscopic and Arthrotomy Assessment of Full-Thickness Articular Cartilage Lesions of the Knee in a Clinical Setting in 33 Consecutive Patients.

Authors:  Asbjørn Årøen; Jan Harald Røtterud; Einar Andreas Sivertsen
Journal:  Cartilage       Date:  2013-07       Impact factor: 4.634

8.  Arthroscopic Measurement of Cartilage Lesions of the Knee Condyle: Principles and Experimental Validation of a New Method.

Authors:  Henri Robert; Jean Christophe Lambotte; Rémi Flicoteaux
Journal:  Cartilage       Date:  2011-07       Impact factor: 4.634

9.  Arthroscopic Evaluation of Knee Cartilage Using Optical Reflection Spectroscopy.

Authors:  Justin L Makovicka; Karan A Patel; Jeffrey D Hassebrock; David E Hartigan; Michael Wong; Anikar Chhabra
Journal:  Arthrosc Tech       Date:  2019-03-25
  9 in total

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