A computer-aided detection system for rheumatoid arthritis MRI data interpretation and quantification of synovial activity

Olga Kubassove; Mikael Boesen; Marco A Cimmino; Henning Bliddal

doi:http://dx.doi.org/10.1016/j.ejrad.2009.04.010

A computer-aided detection system for rheumatoid arthritis MRI data interpretation and quantification of synovial activity

Olga Kubassove, Mikael Boesen, Marco A Cimmino, Henning Bliddal

30 Citations (Scopus)

Abstract

RATIONAL AND OBJECTIVE: Disease assessment and follow-up of rheumatoid arthritis (RA) patients require objective evaluation and quantification. Magnetic resonance imaging (MRI) has a large potential to supplement such information for the clinician, however, time spent on data reading and interpretation slow down development in this area. Existing scoring systems of especially synovitis are too rigid and insensitive to measure early treatment response and quantify inflammation. This study tested a novel automated, computer system for analysis of dynamic MRI data acquired from patients with RA, Dynamika-RA, which incorporates efficient data processing and analysis techniques.

Original language	English
Journal	European Journal of Radiology
Volume	74
Issue number	3
Pages (from-to)	e67-72
ISSN	0720-048X
DOIs	https://doi.org/10.1016/j.ejrad.2009.04.010
Publication status	Published - 2009

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abstract = "RATIONAL AND OBJECTIVE: Disease assessment and follow-up of rheumatoid arthritis (RA) patients require objective evaluation and quantification. Magnetic resonance imaging (MRI) has a large potential to supplement such information for the clinician, however, time spent on data reading and interpretation slow down development in this area. Existing scoring systems of especially synovitis are too rigid and insensitive to measure early treatment response and quantify inflammation. This study tested a novel automated, computer system for analysis of dynamic MRI data acquired from patients with RA, Dynamika-RA, which incorporates efficient data processing and analysis techniques.",

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AU - Bliddal, Henning

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AB - RATIONAL AND OBJECTIVE: Disease assessment and follow-up of rheumatoid arthritis (RA) patients require objective evaluation and quantification. Magnetic resonance imaging (MRI) has a large potential to supplement such information for the clinician, however, time spent on data reading and interpretation slow down development in this area. Existing scoring systems of especially synovitis are too rigid and insensitive to measure early treatment response and quantify inflammation. This study tested a novel automated, computer system for analysis of dynamic MRI data acquired from patients with RA, Dynamika-RA, which incorporates efficient data processing and analysis techniques.

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JO - European Journal of Radiology

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A computer-aided detection system for rheumatoid arthritis MRI data interpretation and quantification of synovial activity

Abstract

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