Quantitative MR characterization of disease activity in the knee in children with juvenile idiopathic arthritis: a longitudinal pilot study

Workie, D; Graham, T. Brent; Laor, Tal; Rajagopal, Amirtham; O’Brien, Kendall; Bommer, Wendy A.; Racadio, Judy M.; Shire, Norah J.; Dardzinski, Bernard J.

doi:10.1007/s00247-007-0449-6

Cited by 39 publications

(9 citation statements)

References 35 publications

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“…Automated segmentation methods have been proposed to provide a quicker and more pragmatic alternative, but the accurate identification of enhancing synovial membrane requires a trained observer and this task cannot be performed by a computer (35, 36). Newer technology is being developed to make quantitative analysis of synovial activity easier to implement clinically (34, 37, 38), though these techniques remain research tools at present.…”

Section: Discussionmentioning

confidence: 99%

Quantifying synovitis in rheumatoid arthritis using computer‐assisted manual segmentation with 3 tesla MRI scanning

Chand¹,

McHaffie²,

Clarke³

et al. 2011

Magnetic Resonance Imaging

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Purpose: To investigate the reliability, validity and feasibility of a computer-assisted manual segmentation method for determining the synovial membrane volume as a surrogate measure for synovitis in patients with rheumatoid arthritis (RA). Materials and Methods:The 3 Tesla (T) MRI scans were acquired in 22 early RA and 16 established RA patients. Synovial membrane volumes in postcontrast T1w axial images at three wrist joint regions were determined by two nonradiologist observers using a computer-assisted manual segmentation method. Conclusion: Measurement of MRI synovitis using a computer-assisted manual segmentation method demonstrated excellent intraobserver and very good interobserver reliability, content validity (represented by its strong correlation with RAMRIS synovitis), and moderate feasibility.

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Section: Discussionmentioning

confidence: 99%

Quantifying synovitis in rheumatoid arthritis using computer‐assisted manual segmentation with 3 tesla MRI scanning

Chand¹,

McHaffie²,

Clarke³

et al. 2011

Magnetic Resonance Imaging

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“…The exact value of advanced MRI techniques in children with JIA has to be determined in larger prospective studies. To be viable in daily practice, these imaging techniques should be sensitive to change on which evidence is limited [ 45 ]. It is important to further develop and implement advanced imaging techniques in clinical practice.…”

Section: Future Workmentioning

confidence: 99%

Imaging of the knee in juvenile idiopathic arthritis

et al. 2018

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In juvenile idiopathic arthritis (JIA), imaging is increasingly used in clinical practice. In this paper we discuss imaging of the knee, the clinically most commonly affected joint in JIA. In the last decade, a number of important steps have been made in the development of imaging outcome measures in children with JIA knee involvement. Ultrasound is undergoing a fast validation process, which should be accomplished within the next few years. The validation processes of MRI as an imaging biomarker for clinical trials in the JIA knee are at an advanced stage, with important data available on the feasibility, reliability and validity of the Juvenile Arthritis MRI Scoring system. Moreover, both US and MRI data are emerging on the normal appearance of the growing knee joint.

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“…The rate of contrast enhancement and measurements of dynamic synovial enhancement may be used to assess the degree of infl ammatory response, but this is not routinely performed in clinical practice. Quantitative MRI assessment of synovial volumes also assesses response to therapy [ 17 ].…”

Section: Juvenile Idiopathic Arthritismentioning

confidence: 99%

Arthritis

Stein-Wexler¹,

Thapa²

2014

Pediatric Orthopedic Imaging

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Imaging plays a key role in the evaluation of patients with known or suspected arthritis. Following clinical and laboratory assessment, radiography is the traditional imaging starting point. Other potential modalities include ultrasound, computed tomography, nuclear medicine, and magnetic resonance imaging. This chapter will present the following conditions: juvenile idiopathic arthritis (JIA) along with the enthesitis-related arthritis (ERA) subtype, hemophilia, and pigmented villonodular synovitis (PVNS). Synovial chondromatosis and dermatomyositis are discussed in Chaps. 12 and 24 , respectively.

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Quantitative MR characterization of disease activity in the knee in children with juvenile idiopathic arthritis: a longitudinal pilot study

Cited by 39 publications

References 35 publications

Quantifying synovitis in rheumatoid arthritis using computer‐assisted manual segmentation with 3 tesla MRI scanning

Quantifying synovitis in rheumatoid arthritis using computer‐assisted manual segmentation with 3 tesla MRI scanning

Imaging of the knee in juvenile idiopathic arthritis

Arthritis

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