Amanda E Nelson1. 1. Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, 3300 Doc J. Thurston Building, Campus Box #7280, Chapel Hill, NC, 27599-7280, USA. aenelson@med.unc.edu.
Abstract
PURPOSE OF REVIEW: This narrative review summarizes the last 5 years of published, peer-reviewed research on the use of musculoskeletal ultrasound (US) in osteoarthritis (OA). RECENT FINDINGS: Multiple features relevant to OA can be visualized on US, including synovitis, erosion, enthesitis, osteophytes, cartilage damage, meniscal extrusion, and popliteal cysts. US can be used to confirm a diagnosis of OA or make an alternate diagnosis in the clinical setting. When a standardized protocol is used, US is a reliable modality for assessment of the features of OA. Findings on US can predict progression and response to therapy in OA of the hand and knee and can allow characterization of risk factors in a cost-effective, non-invasive, repeatable manner. US is becoming more widely used in OA imaging and has clear value in addition to radiography and clinical assessment. US will likely prove useful in defining phenotypes and providing treatment guidance in OA.
PURPOSE OF REVIEW: This narrative review summarizes the last 5 years of published, peer-reviewed research on the use of musculoskeletal ultrasound (US) in osteoarthritis (OA). RECENT FINDINGS: Multiple features relevant to OA can be visualized on US, including synovitis, erosion, enthesitis, osteophytes, cartilage damage, meniscal extrusion, and popliteal cysts. US can be used to confirm a diagnosis of OA or make an alternate diagnosis in the clinical setting. When a standardized protocol is used, US is a reliable modality for assessment of the features of OA. Findings on US can predict progression and response to therapy in OA of the hand and knee and can allow characterization of risk factors in a cost-effective, non-invasive, repeatable manner. US is becoming more widely used in OA imaging and has clear value in addition to radiography and clinical assessment. US will likely prove useful in defining phenotypes and providing treatment guidance in OA.
Authors: Jin Qin; Kamil E Barbour; Louise B Murphy; Amanda E Nelson; Todd A Schwartz; Charles G Helmick; Kelli D Allen; Jordan B Renner; Nancy A Baker; Joanne M Jordan Journal: Arthritis Rheumatol Date: 2017-05-08 Impact factor: 10.995
Authors: Karen Bevers; Johanna E Vriezekolk; Johannes W J Bijlsma; Cornelia H M van den Ende; Alfons A den Broeder Journal: Rheumatology (Oxford) Date: 2015-06-23 Impact factor: 7.580
Authors: Garifallia Sakellariou; Philip G Conaghan; Weiya Zhang; Johannes W J Bijlsma; Pernille Boyesen; Maria Antonietta D'Agostino; Michael Doherty; Daniela Fodor; Margreet Kloppenburg; Falk Miese; Esperanza Naredo; Mark Porcheret; Annamaria Iagnocco Journal: Ann Rheum Dis Date: 2017-04-07 Impact factor: 19.103
Authors: D J Hunter; W Zhang; P G Conaghan; K Hirko; L Menashe; W M Reichmann; E Losina Journal: Osteoarthritis Cartilage Date: 2011-03-23 Impact factor: 6.576
Authors: Helen I Keen; Elizabeth M A Hensor; Richard J Wakefield; Philip J Mease; Clifton O Bingham; Philip G Conaghan Journal: Rheumatology (Oxford) Date: 2015-02-16 Impact factor: 7.580
Authors: Joan Calvet; Cristóbal Orellana; Carlos Galisteo; María García-Manrique; Noemí Navarro; Assumpta Caixàs; Marta Larrosa; Jordi Gratacós Journal: PLoS One Date: 2018-01-19 Impact factor: 3.240
Authors: Mika T Nevalainen; Kyösti Kauppinen; Juho Pylväläinen; Konsta Pamilo; Maija Pesola; Marianne Haapea; Juhani Koski; Simo Saarakkala Journal: Sci Rep Date: 2018-12-10 Impact factor: 4.379