Literature DB >> 32780155

Reliability of three radiographic classification systems for knee osteoarthritis among observers of different experience levels.

Nicholas Wing1,2, Natasha Van Zyl3,4, Michael Wing3,4, Robert Corrigan3,4, Alan Loch3,4, Chris Wall3,4.   

Abstract

OBJECTIVE: To assess the intra- and inter-observer reliability of three commonly referenced radiographic classification systems for knee osteoarthritis in a cohort of arthroplasty candidates.
MATERIALS AND METHODS: Pre-operative radiographs of 112 patients who subsequently underwent primary total knee arthroplasty were evaluated by four independent observers of varying experience. Each x-ray was de-identified, randomised, and classified according to the International Knee Documentation Committee, Kellgren-Lawrence, and Ahlbäck classifications. After a 2-week interval period, each x-ray was again randomised and re-classified.
RESULTS: Regarding inter-observer reliability, the Ahlbäck and Kellgren-Lawrence classifications were shown to have 'substantial agreement' (AC 0.79 and 0.85 respectively), and the IKDC was shown to have 'almost perfect agreement' (AC 0.97). Regarding intra-observer reliability, the two more experienced observers demonstrated 'good' or 'excellent' reliability for all classification systems, and the two less experienced observers demonstrated 'moderate' intra-observer reliability for all classification systems.
CONCLUSION: The International Knee Documentation Committee, Kellgren-Lawrence, and Ahlbäck radiographic classifications demonstrated adequate intra- and inter-observer reliability, supporting their potential implementation in surgical practice, or in epidemiological and clinical studies of knee osteoarthritis in a comparable cohort of patients. Clinical experience was positively correlated with intra-observer reliability. Whilst the International Knee Documentation Committee classification demonstrated the greatest reliability, this is likely due to its conservative definitions, and the Ahlbäck and Kellgren-Lawrence classifications are likely more reflective of the spectrum of disease severity encountered in an older patient cohort.

Entities:  

Keywords:  Ahlbäck; IKDC; Inter-observer reliability; Kellgren-Lawrence; Knee osteoarthritis; Radiological classification; Total knee arthroplasty

Mesh:

Year:  2020        PMID: 32780155     DOI: 10.1007/s00256-020-03551-4

Source DB:  PubMed          Journal:  Skeletal Radiol        ISSN: 0364-2348            Impact factor:   2.199


  1 in total

1.  Do Weight-Bearing Knee Digital Radiographs Help to Track the Severity of OA?

Authors:  S Sheik Abdullah; M Pallikonda Rajasekaran
Journal:  Indian J Orthop       Date:  2021-11-13       Impact factor: 1.251

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.