OBJECTIVES: To report on the process and criteria for selecting acquisition protocols to include in the osteoarthritis initiative (OAI) magnetic resonance imaging (MRI) study protocol for the knee. METHODS: Candidate knee MR acquisition protocols identified from the literature were first optimized at 3Tesla (T). Twelve knees from 10 subjects were scanned one time with each of 16 acquisitions considered most likely to achieve the study goals and having the best optimization results. The resultant images and multi-planar reformats were evaluated for artifacts and structural discrimination of articular cartilage at the cartilage-fluid, cartilage-fat, cartilage-capsule, cartilage-meniscus and cartilage-cartilage interfaces. RESULTS: The five acquisitions comprising the final OAI MRI protocol were assembled based on the study goals for the imaging protocol, the image evaluation results and the need to image both knees within a 75 min time slot, including positioning. For quantitative cartilage morphometry, fat-suppressed, 3D dual-echo in steady state (DESS) acquisitions appear to provide the best universal cartilage discrimination. CONCLUSIONS: The OAI knee MRI protocol provides imaging data on multiple articular structures and features relevant to knee OA that will support a broad range of existing and anticipated measurement methods while balancing requirements for high image quality and consistency against the practical considerations of a large multi-center cohort study. Strengths of the final knee MRI protocol include cartilage quantification capabilities in three planes due to multi-planar reconstruction of a thin slice, high spatial resolution 3D DESS acquisition and the multiple, non-fat-suppressed image contrasts measured during the T2 relaxation time mapping acquisition.
OBJECTIVES: To report on the process and criteria for selecting acquisition protocols to include in the osteoarthritis initiative (OAI) magnetic resonance imaging (MRI) study protocol for the knee. METHODS: Candidate knee MR acquisition protocols identified from the literature were first optimized at 3Tesla (T). Twelve knees from 10 subjects were scanned one time with each of 16 acquisitions considered most likely to achieve the study goals and having the best optimization results. The resultant images and multi-planar reformats were evaluated for artifacts and structural discrimination of articular cartilage at the cartilage-fluid, cartilage-fat, cartilage-capsule, cartilage-meniscus and cartilage-cartilage interfaces. RESULTS: The five acquisitions comprising the final OAI MRI protocol were assembled based on the study goals for the imaging protocol, the image evaluation results and the need to image both knees within a 75 min time slot, including positioning. For quantitative cartilage morphometry, fat-suppressed, 3D dual-echo in steady state (DESS) acquisitions appear to provide the best universal cartilage discrimination. CONCLUSIONS: The OAI knee MRI protocol provides imaging data on multiple articular structures and features relevant to knee OA that will support a broad range of existing and anticipated measurement methods while balancing requirements for high image quality and consistency against the practical considerations of a large multi-center cohort study. Strengths of the final knee MRI protocol include cartilage quantification capabilities in three planes due to multi-planar reconstruction of a thin slice, high spatial resolution 3D DESS acquisition and the multiple, non-fat-suppressed image contrasts measured during the T2 relaxation time mapping acquisition.
Authors: J Duryea; G Neumann; M H Brem; W Koh; F Noorbakhsh; R D Jackson; J Yu; C B Eaton; P Lang Journal: Osteoarthritis Cartilage Date: 2006-12-22 Impact factor: 6.576
Authors: Felix Eckstein; Manuela Kunz; Martin Hudelmaier; Rebecca Jackson; Joseph Yu; Charles B Eaton; Erika Schneider Journal: Magn Reson Med Date: 2007-02 Impact factor: 4.668
Authors: D J Hunter; J Niu; Y Zhang; S Totterman; J Tamez; C Dabrowski; R Davies; M-P Hellio Le Graverand; M Luchi; Y Tymofyeyev; C R Beals Journal: Ann Rheum Dis Date: 2008-04-13 Impact factor: 19.103
Authors: F Eckstein; M Kunz; M Schutzer; M Hudelmaier; R D Jackson; J Yu; C B Eaton; E Schneider Journal: Osteoarthritis Cartilage Date: 2007-06-08 Impact factor: 6.576
Authors: Thomas Baum; Gabby B Joseph; Ahilan Arulanandan; Lorenzo Nardo; Warapat Virayavanich; Julio Carballido-Gamio; Michael C Nevitt; John Lynch; Charles E McCulloch; Thomas M Link Journal: Arthritis Care Res (Hoboken) Date: 2012-02 Impact factor: 4.794
Authors: G B Joseph; T Baum; H Alizai; J Carballido-Gamio; L Nardo; W Virayavanich; J A Lynch; M C Nevitt; C E McCulloch; S Majumdar; T M Link Journal: Osteoarthritis Cartilage Date: 2012-04-11 Impact factor: 6.576
Authors: Thomas Baum; Christoph Stehling; Gabby B Joseph; Julio Carballido-Gamio; Benedikt J Schwaiger; Christina Müller-Höcker; Michael C Nevitt; John Lynch; Charles E McCulloch; Thomas M Link Journal: J Magn Reson Imaging Date: 2011-10-10 Impact factor: 4.813
Authors: J A Lynch; F W Roemer; M C Nevitt; D T Felson; J Niu; C B Eaton; A Guermazi Journal: Osteoarthritis Cartilage Date: 2010-09-16 Impact factor: 6.576
Authors: José G Raya; Eike Dettmann; Mike Notohamiprodjo; Svetlana Krasnokutsky; Steven Abramson; Christian Glaser Journal: Eur Radiol Date: 2014-05-10 Impact factor: 5.315
Authors: I Atukorala; C K Kwoh; A Guermazi; F W Roemer; R M Boudreau; M J Hannon; D J Hunter Journal: Ann Rheum Dis Date: 2014-12-08 Impact factor: 19.103