Literature DB >> 23321609

MRI-based semiquantitative scoring of joint pathology in osteoarthritis.

Ali Guermazi1, Frank W Roemer, Ida K Haugen, Michel D Crema, Daichi Hayashi.   

Abstract

The use of MRI techniques to investigate tissue pathology has become increasingly widespread in osteoarthritis (OA) research. Semiquantitative assessment of the joints by expert interpreters of MRI data is a powerful tool that can increase our understanding of the natural history of this complex disease. Several reliable and validated semiquantitative scoring systems now exist and have been applied to large-scale, multicentre, cross-sectional and longitudinal observational epidemiological studies. Such approaches have advanced our understanding of the associations of different tissue pathologies with pain and improved the definition of joint alterations that lead to disease progression. Semiquantitative MRI outcome measures have also been applied in several clinical trials in OA. Indeed, interest in MRI-based semiquantitative scoring systems has led to the development of several novel scoring systems that can be applied to different joints: a knee synovitis scoring system based on contrast-enhanced MRI; the MRI Osteoarthritis Knee Score (MOAKS); the Hip Osteoarthritis MRI Score (HOAMS); and the Oslo Hand Osteoarthritis MRI score (OHOA-MRI). Although these new scoring systems offer theoretical advantages over pre-existing systems, whether they offer actual superiority with regard to reliability, responsiveness and validity remains to be seen.

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Year:  2013        PMID: 23321609     DOI: 10.1038/nrrheum.2012.223

Source DB:  PubMed          Journal:  Nat Rev Rheumatol        ISSN: 1759-4790            Impact factor:   20.543


  122 in total

1.  Radiological assessment of osteo-arthrosis.

Authors:  J H KELLGREN; J S LAWRENCE
Journal:  Ann Rheum Dis       Date:  1957-12       Impact factor: 19.103

2.  Quantification of meniscal volume by segmentation of 3T magnetic resonance images.

Authors:  Megan E Bowers; Glenn A Tung; Braden C Fleming; Joseph J Crisco; Jesus Rey
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3.  Diagnosis of articular cartilage abnormalities of the knee: prospective clinical evaluation of a 3D water-excitation true FISP sequence.

Authors:  Sylvain R Duc; Peter Koch; Marius R Schmid; Wilhelm Horger; Juerg Hodler; Christian W A Pfirrmann
Journal:  Radiology       Date:  2007-03-30       Impact factor: 11.105

Review 4.  Imaging of synovitis in osteoarthritis: current status and outlook.

Authors:  Daichi Hayashi; Frank W Roemer; Avinash Katur; David T Felson; Seoung-Oh Yang; Faris Alomran; Ali Guermazi
Journal:  Semin Arthritis Rheum       Date:  2011-02-03       Impact factor: 5.532

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

Authors:  D J Hunter; Y Q Zhang; X Tu; M Lavalley; J B Niu; S Amin; A Guermazi; H Genant; D Gale; D T Felson
Journal:  Arthritis Rheum       Date:  2006-08

Review 6.  Responsiveness and reliability of MRI in knee osteoarthritis: a meta-analysis of published evidence.

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

Review 7.  MRI-detected subchondral bone marrow signal alterations of the knee joint: terminology, imaging appearance, relevance and radiological differential diagnosis.

Authors:  F W Roemer; R Frobell; D J Hunter; M D Crema; W Fischer; K Bohndorf; A Guermazi
Journal:  Osteoarthritis Cartilage       Date:  2009-03-31       Impact factor: 6.576

8.  Bone marrow edema and its relation to progression of knee osteoarthritis.

Authors:  David T Felson; Sara McLaughlin; Joyce Goggins; Michael P LaValley; M Elon Gale; Saara Totterman; Wei Li; Catherine Hill; Daniel Gale
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9.  Meniscal tear and extrusion are strongly associated with progression of symptomatic knee osteoarthritis as assessed by quantitative magnetic resonance imaging.

Authors:  M-J Berthiaume; J-P Raynauld; J Martel-Pelletier; F Labonté; G Beaudoin; D A Bloch; D Choquette; B Haraoui; R D Altman; M Hochberg; J M Meyer; G A Cline; J-P Pelletier
Journal:  Ann Rheum Dis       Date:  2004-09-16       Impact factor: 19.103

10.  Bone marrow lesions predict site-specific cartilage defect development and volume loss: a prospective study in older adults.

Authors:  Dawn Dore; Ashleigh Martens; Stephen Quinn; Changhai Ding; Tania Winzenberg; Guangju Zhai; Jean-Pierre Pelletier; Johanne Martel-Pelletier; François Abram; Flavia Cicuttini; Graeme Jones
Journal:  Arthritis Res Ther       Date:  2010-12-29       Impact factor: 5.156

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  44 in total

1.  Sex-differences of the healthy infra-patellar (Hoffa) fat pad in relation to intermuscular and subcutaneous fat content--data from the Osteoarthritis Initiative.

Authors:  J Diepold; A Ruhdorfer; T Dannhauer; W Wirth; E Steidle; F Eckstein
Journal:  Ann Anat       Date:  2015-01-31       Impact factor: 2.698

Review 2.  An illustrative overview of semi-quantitative MRI scoring of knee osteoarthritis: lessons learned from longitudinal observational studies.

Authors:  F W Roemer; D J Hunter; M D Crema; C K Kwoh; E Ochoa-Albiztegui; A Guermazi
Journal:  Osteoarthritis Cartilage       Date:  2015-08-28       Impact factor: 6.576

3.  Superolateral Hoffa's fat pad (SHFP) oedema and patellar cartilage volume loss: quantitative analysis using longitudinal data from the Foundation for the National Institute of Health (FNIH) Osteoarthritis Biomarkers Consortium.

Authors:  Arya Haj-Mirzaian; Ali Guermazi; Nima Hafezi-Nejad; Christopher Sereni; Michael Hakky; David J Hunter; Bashir Zikria; Frank W Roemer; Shadpour Demehri
Journal:  Eur Radiol       Date:  2018-04-12       Impact factor: 5.315

4.  Longitudinal assessment of MRI in hip osteoarthritis using SHOMRI and correlation with clinical progression.

Authors:  Benedikt J Schwaiger; Alexandra S Gersing; Sonia Lee; Lorenzo Nardo; Michael A Samaan; Richard B Souza; Thomas M Link; Sharmila Majumdar
Journal:  Semin Arthritis Rheum       Date:  2016-04-08       Impact factor: 5.532

5.  MRI signal-based quantification of subchondral bone at the tibial plateau: a population study.

Authors:  James W MacKay; Keith C Godley; Andoni P Toms
Journal:  Skeletal Radiol       Date:  2014-07-02       Impact factor: 2.199

6.  EUROVISCO Guidelines for the Design and Conduct of Clinical Trials Assessing the Disease-Modifying Effect of Knee Viscosupplementation.

Authors:  Yves Henrotin; Xavier Chevalier; Raghu Raman; Pascal Richette; Jordi Montfort; Jörg Jerosch; Dominique Baron; Hervé Bard; Yannick Carrillon; Alberto Migliore; Thierry Conrozier
Journal:  Cartilage       Date:  2018-07-04       Impact factor: 4.634

7.  Patellofemoral morphology measurements and their associations with tibiofemoral osteoarthritis-related structural damage: exploratory analysis on the osteoarthritis initiative.

Authors:  Arya Haj-Mirzaian; Ali Guermazi; Farhad Pishgar; Frank W Roemer; Christopher Sereni; Michael Hakky; Bashir Zikria; Shadpour Demehri
Journal:  Eur Radiol       Date:  2019-07-11       Impact factor: 5.315

Review 8.  Quantitative radiologic imaging techniques for articular cartilage composition: toward early diagnosis and development of disease-modifying therapeutics for osteoarthritis.

Authors:  Edwin H G Oei; Jasper van Tiel; William H Robinson; Garry E Gold
Journal:  Arthritis Care Res (Hoboken)       Date:  2014-08       Impact factor: 4.794

9.  Can we have an overall osteoarthritis severity score for the patellofemoral joint using magnetic resonance imaging? Reliability and validity.

Authors:  Sarah Kobayashi; Anthony Peduto; Milena Simic; Marlene Fransen; Kathryn Refshauge; Jean Mah; Evangelos Pappas
Journal:  Clin Rheumatol       Date:  2017-11-06       Impact factor: 2.980

10.  Can Signal Abnormalities Detected with MR Imaging in Knee Articular Cartilage Be Used to Predict Development of Morphologic Cartilage Defects? 48-Month Data from the Osteoarthritis Initiative.

Authors:  Benedikt J Schwaiger; Alexandra S Gersing; John Mbapte Wamba; Michael C Nevitt; Charles E McCulloch; Thomas M Link
Journal:  Radiology       Date:  2016-05-02       Impact factor: 11.105

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