Literature DB >> 30690561

Prevalence and distribution of cartilage damage at the metacarpal head level in rheumatoid arthritis and osteoarthritis: an ultrasound study.

Jana Hurnakova1,2,3, Emilio Filippucci1, Edoardo Cipolletta1, Andrea Di Matteo1, Fausto Salaffi1, Marina Carotti4, Antonella Draghessi1, Eleonora Di Donato1, Marco Di Carlo1, Valentina Lato1, Rudolf Horvath3, Martin Komarc5, Karel Pavelka2, Walter Grassi1.   

Abstract

OBJECTIVES: To determine the prevalence and distribution of US-detected qualitative cartilage damage at metacarpal heads of patients with RA and hand OA.
METHODS: Fifty-two RA patients and 34 patients with hand OA were enrolled. US examination of the metacarpal head cartilage from the II to V finger of both hands was performed. A total of 414 MCP joints in RA and 266 MCP joints in OA patients were scanned with a linear probe up to 22 MHz. Qualitative assessments using a previously described scoring system for cartilage damage were performed. The prevalence and distribution of cartilage damage were analysed. Multivariate regression analysis was used to determine the predictive value of age, gender, BMI, disease duration and the presence of RF and anti-CCP antibodies for US-detected cartilage damage.
RESULTS: The metacarpal head cartilage was positive for cartilage damage in 35.7% (148/414) of MCP joints in RA and in 43.6% (116/266) of MCP joints in OA patients. In RA, the hyaline cartilage of the II and III metacarpal heads (bilaterally) was the most frequently affected. In OA, cartilage damage was more homogeneously distributed in all MCP joints. Multivariate regression analysis showed that age and disease duration, but not gender, BMI or autoantibody status, were independent predictors of US-detected cartilage damage in RA.
CONCLUSION: Cartilage damage was found in more than one-third of the MCP joints in both RA and OA patients, and in RA patients, the II and III MCP joints were the most damaged.
© The Author(s) 2019. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  OA; RA; cartilage damage; ultrasonography

Mesh:

Substances:

Year:  2019        PMID: 30690561     DOI: 10.1093/rheumatology/key443

Source DB:  PubMed          Journal:  Rheumatology (Oxford)        ISSN: 1462-0324            Impact factor:   7.580


  7 in total

Review 1.  Ultrasound imaging in rheumatoid arthritis.

Authors:  Emilio Filippucci; Edoardo Cipolletta; Riccardo Mashadi Mirza; Marina Carotti; Andrea Giovagnoni; Fausto Salaffi; Marika Tardella; Andrea Di Matteo; Marco Di Carlo
Journal:  Radiol Med       Date:  2019-03-09       Impact factor: 3.469

2.  Ultrasonographic evaluation of distal femoral and talar cartilage thicknesses in patients with early rheumatoid arthritis and their relationship with disease activity.

Authors:  Adem Yildirim; Mustafa Erkut Önder; Deniz Özkan
Journal:  Clin Rheumatol       Date:  2022-03-19       Impact factor: 3.650

Review 3.  Turning the Page in Osteoarthritis Assessment with the Use of Ultrasound.

Authors:  Amanda E Nelson
Journal:  Curr Rheumatol Rep       Date:  2020-08-26       Impact factor: 4.592

Review 4.  The sonographic identification of cortical bone interruptions in rheumatoid arthritis: a morphological approach.

Authors:  Edoardo Cipolletta; Gianluca Smerilli; Andrea Di Matteo; Jacopo Di Battista; Marco Di Carlo; Walter Grassi; Emilio Filippucci
Journal:  Ther Adv Musculoskelet Dis       Date:  2021-04-16       Impact factor: 5.346

5.  Artificial Intelligence for Ultrasound Informative Image Selection of Metacarpal Head Cartilage. A Pilot Study.

Authors:  Edoardo Cipolletta; Maria Chiara Fiorentino; Sara Moccia; Irene Guidotti; Walter Grassi; Emilio Filippucci; Emanuele Frontoni
Journal:  Front Med (Lausanne)       Date:  2021-03-01

6.  Effect of oblique headless compression screw fixation for metacarpal shaft fracture: a biomechanical in vitro study.

Authors:  Yung-Cheng Chiu; Tsung-Yu Ho; Yen-Nien Ting; Ming-Tzu Tsai; Heng-Li Huang; Cheng-En Hsu; Jui-Ting Hsu
Journal:  BMC Musculoskelet Disord       Date:  2021-02-05       Impact factor: 2.362

7.  High-Frequency Ultrasound Dataset for Deep Learning-Based Image Quality Assessment.

Authors:  Joanna Czajkowska; Jan Juszczyk; Laura Piejko; Małgorzata Glenc-Ambroży
Journal:  Sensors (Basel)       Date:  2022-02-14       Impact factor: 3.576

  7 in total

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