Literature DB >> 29901022

Computer-assisted Joint Space Area Measurement: A New Technique in Patients With Knee Osteoarthritis.

İlker Ilhanli1, Necip Güder2, Alptekin Tosun3, Esin Avci4, Canan Çelik1.   

Abstract

OBJECTIVES: This study aims to assess the validity and reproducibility of computer-assisted joint space area measurement in knee roentgenograms of patients with knee osteoarthritis and compare it with a qualitative method in knee roentgenograms and quantitative and semi-quantitative methods in magnetic resonance imaging. PATIENTS AND METHODS: The study included 40 knees of 40 patients diagnosed as osteoarthritis (14 males, 26 females; mean age 57.4±5.9 years; range 47 to 67 years). Only the patients who wrote consents for publication of their radiologic data, and with knee roentgenograms and magnetic resonance images of the same knees were selected. Computer-assisted measurements were applied to joint spaces by two blinded physicians, for two times with an interval of one week. Data were evaluated for intraobserver and interobserver consistency. Also, data were compared with qualitative (Kellgren-Lawrence classification), quantitative (joint space width, cartilage thickness, meniscal thickness in magnetic resonance images) and semi-quantitative methods (whole-organ magnetic resonance imaging score).
RESULTS: Intraobserver consistency was evaluated for each physician, which revealed no differences. Interobserver consistency was evaluated by comparing the measurements of two blinded physicians and no differences were found (p>0.05). There was no significant correlation between the grade of Kellgren-Lawrence classification and other variables; such as grade of meniscus, meniscal thickness, cartilage thickness and computer- assisted joint space area measurements (p>0.05). While there was a positive correlation between computer-assisted joint space area measurement and other quantitative measurements, there was a negative correlation between computer-assisted joint space area measurement and whole-organ magnetic resonance imaging scores.
CONCLUSION: When compared with qualitative, quantitative, and semi-quantitative methods, computer-assisted joint space area measurement seems to be a useful, reproducible, and cost-effective quantitative method for evaluating knee osteoarthritis.

Entities:  

Keywords:  Knee; magnetic resonance imaging; osteoarthritis; roentgenogram

Year:  2017        PMID: 29901022      PMCID: PMC5868460          DOI: 10.5606/ArchRheumatol.2017.5940

Source DB:  PubMed          Journal:  Arch Rheumatol        ISSN: 2148-5046            Impact factor:   1.472


  33 in total

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2.  Comparison of quantitative and semiquantitative indicators of joint space narrowing in subjects with knee osteoarthritis.

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Journal:  Ann Rheum Dis       Date:  2005-05-26       Impact factor: 19.103

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Authors:  Eric Vignon; Thierry Conrozier; Marie-Pierre Hellio Le Graverand
Journal:  J Rheumatol       Date:  2005-06       Impact factor: 4.666

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7.  Change in joint space width: hyaline articular cartilage loss or alteration in meniscus?

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Journal:  Osteoarthritis Cartilage       Date:  2004-03       Impact factor: 6.576

9.  Assessment of cartilage volume in the femorotibial joint with magnetic resonance imaging and 3D computer reconstruction.

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Journal:  J Rheumatol       Date:  1994-12       Impact factor: 4.666

10.  Quantification of articular cartilage in the knee with pulsed saturation transfer subtraction and fat-suppressed MR imaging: optimization and validation.

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Journal:  Radiology       Date:  1994-08       Impact factor: 11.105

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  1 in total

1.  Fully Automatic Knee Joint Segmentation and Quantitative Analysis for Osteoarthritis from Magnetic Resonance (MR) Images Using a Deep Learning Model.

Authors:  Xiongfeng Tang; Deming Guo; Aie Liu; Dijia Wu; Jianhua Liu; Nannan Xu; Yanguo Qin
Journal:  Med Sci Monit       Date:  2022-06-14
  1 in total

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