Literature DB >> 23092792

The Osteoarthritis Initiative (OAI) magnetic resonance imaging quality assurance update.

E Schneider1, M Nessaiver.   

Abstract

OBJECTIVE: Longitudinal quantitative evaluation of cartilage disease requires reproducible measurements over time. We report 8 years of quality assurance (QA) metrics for quantitative magnetic resonance (MR) knee analyses from the Osteoarthritis Initiative (OAI) and show the impact of MR system, phantom, and acquisition protocol changes.
METHOD: Key 3T MR QA metrics, including signal-to-noise, signal uniformity, T2 relaxation times, and geometric distortion, were quantified monthly on two different phantoms using an automated program.
RESULTS: Over 8 years, phantom measurements showed root-mean-square coefficient-of-variation reproducibility of <0.25% (190.0 mm diameter) and <0.20% (148.0 mm length), resulting in spherical volume reproducibility of <0.35%. T2 relaxation time reproducibility varied from 1.5% to 5.3%; seasonal fluctuations were observed at two sites. All other QA goals were met except: slice thicknesses were consistently larger than nominal on turbo spin echo images; knee coil signal uniformity and signal level varied significantly over time.
CONCLUSIONS: The longitudinal variations for a spherical volume should have minimal impact on the accuracy and reproducibility of cartilage volume and thickness measurements as they are an order of magnitude smaller than reported for either unpaired or paired (repositioning and reanalysis) precision errors. This stability should enable direct comparison of baseline and follow-up images. Cross-comparison of the geometric results from all four OAI sites reveal that the MR systems do not statistically differ and enable results to be pooled. MR QA results identified similar technical issues as previously published. Geometric accuracy stability should have the greatest impact on quantitative analysis of longitudinal change in cartilage volume and thickness precision.
Copyright © 2012 Osteoarthritis Research Society International. All rights reserved.

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Year:  2012        PMID: 23092792      PMCID: PMC3629918          DOI: 10.1016/j.joca.2012.10.011

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  18 in total

1.  Geometric distortion in clinical MRI systems Part I: evaluation using a 3D phantom.

Authors:  Deming Wang; Wendy Strugnell; Gary Cowin; David M Doddrell; Richard Slaughter
Journal:  Magn Reson Imaging       Date:  2004-11       Impact factor: 2.546

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Journal:  AJR Am J Roentgenol       Date:  1985-06       Impact factor: 3.959

4.  Quality assurance methods and phantoms for magnetic resonance imaging: report of AAPM nuclear magnetic resonance Task Group No. 1.

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Journal:  Med Phys       Date:  1990 Mar-Apr       Impact factor: 4.071

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Journal:  Magn Reson Imaging       Date:  1988 Mar-Apr       Impact factor: 2.546

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Journal:  Magn Reson Imaging       Date:  1995       Impact factor: 2.546

7.  MRI scanner variability studies using a semi-automated analysis system.

Authors:  R J Hyde; J H Ellis; E A Gardner; Y Zhang; P L Carson
Journal:  Magn Reson Imaging       Date:  1994       Impact factor: 2.546

8.  Double echo steady state magnetic resonance imaging of knee articular cartilage at 3 Tesla: a pilot study for the Osteoarthritis Initiative.

Authors:  F Eckstein; M Hudelmaier; W Wirth; B Kiefer; R Jackson; J Yu; C B Eaton; E Schneider
Journal:  Ann Rheum Dis       Date:  2005-08-26       Impact factor: 19.103

9.  Establishment and results of a magnetic resonance quality assurance program for the pediatric brain tumor consortium.

Authors:  Robert V Mulkern; Peter Forbes; Kevin Dewey; Stravoula Osganian; Maureen Clark; Sharon Wong; Uma Ramamurthy; Larry Kun; Tina Young Poussaint
Journal:  Acad Radiol       Date:  2008-09       Impact factor: 3.173

10.  The osteoarthritis initiative (OAI) magnetic resonance imaging quality assurance methods and results.

Authors:  E Schneider; M NessAiver; D White; D Purdy; L Martin; L Fanella; D Davis; M Vignone; G Wu; R Gullapalli
Journal:  Osteoarthritis Cartilage       Date:  2008-04-18       Impact factor: 6.576

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  14 in total

Review 1.  Quantitative MRI in the evaluation of articular cartilage health: reproducibility and variability with a focus on T2 mapping.

Authors:  Rachel K Surowiec; Erin P Lucas; Charles P Ho
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2013-10-30       Impact factor: 4.342

2.  Cartilage T1ρ and T2 relaxation times: longitudinal reproducibility and variations using different coils, MR systems and sites.

Authors:  X Li; V Pedoia; D Kumar; J Rivoire; C Wyatt; D Lansdown; K Amano; N Okazaki; D Savic; M F Koff; J Felmlee; S L Williams; S Majumdar
Journal:  Osteoarthritis Cartilage       Date:  2015-07-15       Impact factor: 6.576

3.  Between-group differences in infra-patellar fat pad size and signal in symptomatic and radiographic progression of knee osteoarthritis vs non-progressive controls and healthy knees - data from the FNIH Biomarkers Consortium Study and the Osteoarthritis Initiative.

Authors:  A Ruhdorfer; F Haniel; T Petersohn; J Dörrenberg; W Wirth; T Dannhauer; D J Hunter; F Eckstein
Journal:  Osteoarthritis Cartilage       Date:  2017-02-12       Impact factor: 6.576

4.  A reference database of cartilage 3 T MRI T2 values in knees without diagnostic evidence of cartilage degeneration: data from the osteoarthritis initiative.

Authors:  G B Joseph; C E McCulloch; M C Nevitt; U Heilmeier; L Nardo; J A Lynch; F Liu; T Baum; T M Link
Journal:  Osteoarthritis Cartilage       Date:  2015-02-11       Impact factor: 6.576

5.  Penile bulb sparing in prostate cancer radiotherapy : Dose analysis of an in-house MRI system to improve contouring.

Authors:  F Böckelmann; M Hammon; S Lettmaier; R Fietkau; C Bert; F Putz
Journal:  Strahlenther Onkol       Date:  2018-10-12       Impact factor: 3.621

6.  Physical activity in relation to knee cartilage T2 progression measured with 3 T MRI over a period of 4 years: data from the Osteoarthritis Initiative.

Authors:  W Lin; H Alizai; G B Joseph; W Srikhum; M C Nevitt; J A Lynch; C E McCulloch; T M Link
Journal:  Osteoarthritis Cartilage       Date:  2013-07-04       Impact factor: 6.576

7.  Comparison of radiographic joint space width and magnetic resonance imaging for prediction of knee replacement: A longitudinal case-control study from the Osteoarthritis Initiative.

Authors:  Felix Eckstein; Robert Boudreau; Zhijie Wang; Michael J Hannon; Jeff Duryea; Wolfgang Wirth; Sebastian Cotofana; Ali Guermazi; Frank Roemer; Michael Nevitt; Markus R John; Christoph Ladel; Leena Sharma; David J Hunter; C Kent Kwoh
Journal:  Eur Radiol       Date:  2015-09-16       Impact factor: 5.315

Review 8.  Imaging of cartilage and bone: promises and pitfalls in clinical trials of osteoarthritis.

Authors:  F Eckstein; A Guermazi; G Gold; J Duryea; M-P Hellio Le Graverand; W Wirth; C G Miller
Journal:  Osteoarthritis Cartilage       Date:  2014-10       Impact factor: 6.576

9.  T2 texture index of cartilage can predict early symptomatic OA progression: data from the osteoarthritis initiative.

Authors:  K L Urish; M G Keffalas; J R Durkin; D J Miller; C R Chu; T J Mosher
Journal:  Osteoarthritis Cartilage       Date:  2013-06-15       Impact factor: 6.576

Review 10.  Cartilage and meniscal T2 relaxation time as non-invasive biomarker for knee osteoarthritis and cartilage repair procedures.

Authors:  T Baum; G B Joseph; D C Karampinos; P M Jungmann; T M Link; J S Bauer
Journal:  Osteoarthritis Cartilage       Date:  2013-07-27       Impact factor: 6.576

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