Literature DB >> 19041077

Imaging of knee osteoarthritis.

A J Teichtahl1, A E Wluka, M L Davies-Tuck, F M Cicuttini.   

Abstract

New imaging modalities are broadening the possibilities in osteoarthritis (OA) research, and are offering new insights to help better understand the pathogenesis of this disease. Although knee radiographs are widely employed in epidemiological and clinical studies to assess structural pathology, joint radiographs provide limited outcome measures in knee OA, and other more valid, reliable and sensitive imaging modalities are now available. In particular, magnetic resonance imaging can directly visualize articular cartilage and other joint structures, such as bone and soft tissue, that are now recognized as part of the disease process. This chapter will examine imaging modalities in the assessment of knee OA, and the impact of these on our understanding of the pathogenesis of this disease.

Entities:  

Mesh:

Year:  2008        PMID: 19041077     DOI: 10.1016/j.berh.2008.09.004

Source DB:  PubMed          Journal:  Best Pract Res Clin Rheumatol        ISSN: 1521-6942            Impact factor:   4.098


  12 in total

1.  A method for registration of full-limb radiographs to knee MRI.

Authors:  Anish Ghodadra; Morgan H Jones; Anthony Miniaci; Carl S Winalski
Journal:  Skeletal Radiol       Date:  2014-01-16       Impact factor: 2.199

2.  Disease severity and knee extensor force in knee osteoarthritis: data from the Osteoarthritis Initiative.

Authors:  Michael J Berger; Crystal O Kean; Aashish Goela; Timothy J Doherty
Journal:  Arthritis Care Res (Hoboken)       Date:  2012-05       Impact factor: 4.794

3.  A Machine Learning Model to Predict Knee Osteoarthritis Cartilage Volume Changes over Time Using Baseline Bone Curvature.

Authors:  Hossein Bonakdari; Jean-Pierre Pelletier; François Abram; Johanne Martel-Pelletier
Journal:  Biomedicines       Date:  2022-05-26

Review 4.  Non-invasive and in vivo assessment of osteoarthritic articular cartilage: a review on MRI investigations.

Authors:  Ahmad Fadzil Mohd Hani; Dileep Kumar; Aamir Saeed Malik; Raja Mohd Kamil Raja Ahmad; Ruslan Razak; Azman Kiflie
Journal:  Rheumatol Int       Date:  2014-05-31       Impact factor: 2.631

5.  Comparison of high-resolution magnetic resonance imaging and micro-computed tomography arthrography for in-vivo assessment of cartilage in non-human primate models.

Authors:  Kevin Tse Ve Koon; Denis Grenier; Fabrice Taborik; Anne-Laure Perrier; Laurent Mahieu-Williame; Luc Magnier; Thomas Chuzel; Hugues Contamin; Emmanuel Chereul; Olivier Beuf
Journal:  Quant Imaging Med Surg       Date:  2021-08

Review 6.  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

7.  Lumbar disc degeneration is associated with modic change and high paraspinal fat content - a 3.0T magnetic resonance imaging study.

Authors:  Andrew J Teichtahl; Donna M Urquhart; Yuanyuan Wang; Anita E Wluka; Richard O'Sullivan; Graeme Jones; Flavia M Cicuttini
Journal:  BMC Musculoskelet Disord       Date:  2016-10-21       Impact factor: 2.362

8.  In vivo quantitative ultrasound image analysis of femoral subchondral bone in knee osteoarthritis.

Authors:  Jana Podlipská; Juhani M Koski; Pasi Pulkkinen; Simo Saarakkala
Journal:  ScientificWorldJournal       Date:  2013-05-27

9.  Structural changes of hip osteoarthritis using magnetic resonance imaging.

Authors:  Andrew J Teichtahl; Yuanyuan Wang; Sam Smith; Anita E Wluka; Graham G Giles; Kim L Bennell; Richard O'Sullivan; Flavia M Cicuttini
Journal:  Arthritis Res Ther       Date:  2014-10-11       Impact factor: 5.156

10.  A large infrapatellar fat pad protects against knee pain and lateral tibial cartilage volume loss.

Authors:  Andrew J Teichtahl; Ema Wulidasari; Sharmayne R E Brady; Yuanyuan Wang; Anita E Wluka; Changhai Ding; Graham G Giles; Flavia M Cicuttini
Journal:  Arthritis Res Ther       Date:  2015-11-10       Impact factor: 5.156

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.