Literature DB >> 25278078

The role of imaging modalities in the diagnosis, differential diagnosis and clinical assessment of peripheral joint osteoarthritis.

C Y J Wenham1, A J Grainger2, P G Conaghan3.   

Abstract

Peripheral joint osteoarthritis (OA) is predominantly a clinical diagnosis, though imaging may provide confirmation and aid with differential diagnosis where there is clinical doubt. Whilst radiographs (X-rays (XR)) are usually the first-line imaging modality selected, magnetic resonance imaging (MRI), ultrasound and computed tomography (CT) may all have a valuable role in assessing a person with OA, although each has its particular advantages and disadvantages. MRI is of particular use for diagnosing bone conditions that may cause a rapid increase in symptoms, such as avascular necrosis (AVN) or a subchondral insufficiency fracture (SIF), while providing concomitant soft tissue assessment. Ultrasound offers rapid assessment of peripheral joints and can easily assess for features of inflammatory arthritis. CT is faster to perform than MRI and can also image the subchondral bone, but does involve ionising radiation. Selecting the correct imaging modality, in the context of its advantages when visualising a specific joint (e.g., hand vs knee) and with clinical context in mind, will enhance the added value of imaging in clinical practice.
Copyright © 2014 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Avascular necrosis; Imaging; Insufficiency fracture; Osteoarthrits; Rapidly progressive osteoarthritis

Mesh:

Year:  2014        PMID: 25278078     DOI: 10.1016/j.joca.2014.06.005

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  8 in total

1.  The evaluation of degeneration of posterior cruciate ligament using CT Hounsfield unit in knee osteoarthritis.

Authors:  Yoshikazu Sumida; Tomoyuki Nakasa; Masakazu Ishikawa; Atsuo Nakamae; Nobuo Adachi
Journal:  BMC Musculoskelet Disord       Date:  2021-03-26       Impact factor: 2.362

2.  An Automatic Knee Osteoarthritis Diagnosis Method Based on Deep Learning: Data from the Osteoarthritis Initiative.

Authors:  Yifan Wang; Xianan Wang; Tianning Gao; Le Du; Wei Liu
Journal:  J Healthc Eng       Date:  2021-09-27       Impact factor: 2.682

3.  KneeTex: an ontology-driven system for information extraction from MRI reports.

Authors:  Irena Spasić; Bo Zhao; Christopher B Jones; Kate Button
Journal:  J Biomed Semantics       Date:  2015-09-07

4.  In vivo optical imaging of early osteoarthritis using an antibody specific to damaged arthritic cartilage.

Authors:  Ngee Han Lim; Tonia L Vincent; Ahuva Nissim
Journal:  Arthritis Res Ther       Date:  2015-12-25       Impact factor: 5.156

5.  Clinical-Pathological Conference Series from the Medical University of Graz : Case No 159: 52-year-old patient with psoriasis and arthralgia of the finger joints.

Authors:  Elisabeth Fabian; Dietmar Schiller; Winfried Graninger; Cord Langner; Johannes Frei; Helmut Schoellnast; Vedat Alibegovic; Rudolf Stauber; Rainer Schoefl; Guenter J Krejs
Journal:  Wien Klin Wochenschr       Date:  2016-06-30       Impact factor: 1.704

6.  Concordance between clinical and radiographic evaluations of knee osteoarthritis.

Authors:  Camille Parsons; Nicholas R Fuggle; Mark H Edwards; Lyndsey Goulston; Anna E Litwic; Darshan Jagannath; Suzan van der Pas; Cyrus Cooper; Elaine M Dennison
Journal:  Aging Clin Exp Res       Date:  2017-11-03       Impact factor: 3.636

Review 7.  Anti-nerve growth factor monoclonal antibodies for the control of pain in dogs and cats.

Authors:  Masataka Enomoto; Patrick W Mantyh; Joanna Murrell; John F Innes; B Duncan X Lascelles
Journal:  Vet Rec       Date:  2018-10-27       Impact factor: 2.695

Review 8.  Nanotechnological Strategies for Osteoarthritis Diagnosis, Monitoring, Clinical Management, and Regenerative Medicine: Recent Advances and Future Opportunities.

Authors:  Reza Mohammadinejad; Milad Ashrafizadeh; Abbas Pardakhty; Ilona Uzieliene; Jaroslav Denkovskij; Eiva Bernotiene; Lauriane Janssen; Gabriela S Lorite; Simo Saarakkala; Ali Mobasheri
Journal:  Curr Rheumatol Rep       Date:  2020-04-04       Impact factor: 4.592

  8 in total

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