Literature DB >> 27296293

Integration of accelerated MRI and post-processing software: a promising method for studies of knee osteoarthritis.

J Duryea1, C Cheng2, L F Schaefer2, S Smith2, B Madore2.   

Abstract

OBJECTIVE: Magnetic resonance imaging (MRI) is a widely used imaging modality for studies of knee osteoarthritis (OA). Compared to radiography, MRI offers exceptional soft tissue imaging and true three-dimensional (3D) visualization. However, MRI is expensive both due to the cost of acquisition and evaluation of the images. The goal of our study is to develop a new method to address the cost of MRI by combining innovative acquisition methods and automated post-processing software.
METHODS: Ten healthy volunteers were scanned with three different MRI protocols: A standard 3D dual-echo steady state (DESS) pulse sequence, an accelerated DESS (DESSAcc), acquired at approximately half the time compared to DESS, and a multi-echo time DESS (DESSMTE), which is capable of producing measurements of T2 relaxation time. A software tool was used to measure cartilage volume. Accuracy was quantified by comparing DESS to DESSAcc and DESSMTE and precision was measured using repeat readings and acquisitions. T2 precision was determined using duplicate DESSMTE acquisitions. Intra-class correlation coefficients (ICCs), root-mean square standard deviation (RMSSD), and the coefficient of variation (CoV) were used to quantify accuracy and precision.
RESULTS: The accuracies of DESSAcc and DESSMTE were CoV = 3.7% and CoV = 6.6% respectively, while precision was 3.8%, 3.0%, and 3.1% for DESS, DESSAcc and DESSMTE. T2 repositioning precision was 5.8%.
CONCLUSION: The results demonstrate that accurate and precise quantification of cartilage volume is possible using a combination of substantially faster MRI acquisition and post-processing software. Precise measurements of cartilage T2 and volume can be made using the same acquisition.
Copyright © 2016. Published by Elsevier Ltd.

Entities:  

Keywords:  Accelerated imaging; Cartilage; Knee; Magnetic resonance imaging; Osteoarthritis; Segmentation software

Mesh:

Year:  2016        PMID: 27296293      PMCID: PMC7608695          DOI: 10.1016/j.joca.2016.06.001

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


  12 in total

1.  Validity and responsiveness of a new measure of knee osteophytes for osteoarthritis studies: data from the osteoarthritis initiative.

Authors:  M Hakky; M Jarraya; C Ratzlaff; A Guermazi; J Duryea
Journal:  Osteoarthritis Cartilage       Date:  2015-07-14       Impact factor: 6.576

2.  Dual-pathway multi-echo sequence for simultaneous frequency and T2 mapping.

Authors:  Cheng-Chieh Cheng; Chang-Sheng Mei; Jeffrey Duryea; Hsiao-Wen Chung; Tzu-Cheng Chao; Lawrence P Panych; Bruno Madore
Journal:  J Magn Reson       Date:  2016-02-04       Impact factor: 2.229

3.  Evolution of semi-quantitative whole joint assessment of knee OA: MOAKS (MRI Osteoarthritis Knee Score).

Authors:  D J Hunter; A Guermazi; G H Lo; A J Grainger; P G Conaghan; R M Boudreau; F W Roemer
Journal:  Osteoarthritis Cartilage       Date:  2011-05-23       Impact factor: 6.576

Review 4.  Measuring cartilage morphology with quantitative magnetic resonance imaging.

Authors:  Felix Eckstein; Christian Glaser
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Review 5.  Imaging of osteoarthritis.

Authors:  Ali Guermazi; Daichi Hayashi; Felix Eckstein; David J Hunter; Jeff Duryea; Frank W Roemer
Journal:  Rheum Dis Clin North Am       Date:  2013-02       Impact factor: 2.670

Review 6.  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

7.  A rapid, novel method of volumetric assessment of MRI-detected subchondral bone marrow lesions in knee osteoarthritis.

Authors:  C Ratzlaff; A Guermazi; J Collins; J N Katz; E Losina; C Vanwyngaarden; R Russell; T Iranpour; J Duryea
Journal:  Osteoarthritis Cartilage       Date:  2013-03-18       Impact factor: 6.576

Review 8.  The individual and socioeconomic impact of osteoarthritis.

Authors:  David J Hunter; Deborah Schofield; Emily Callander
Journal:  Nat Rev Rheumatol       Date:  2014-03-25       Impact factor: 20.543

9.  Local area cartilage segmentation: a semiautomated novel method of measuring cartilage loss in knee osteoarthritis.

Authors:  Jeffrey Duryea; Tannaz Iranpour-Boroujeni; Jamie E Collins; Case Vanwynngaarden; Ali Guermazi; Jeffrey N Katz; Elena Losina; Ruby Russell; Charles Ratzlaff
Journal:  Arthritis Care Res (Hoboken)       Date:  2014-10       Impact factor: 4.794

10.  Rapid estimation of cartilage T2 based on double echo at steady state (DESS) with 3 Tesla.

Authors:  Goetz H Welsch; Klaus Scheffler; Tallal C Mamisch; Timothy Hughes; Steven Millington; Michael Deimling; Siegfried Trattnig
Journal:  Magn Reson Med       Date:  2009-08       Impact factor: 4.668

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  2 in total

1.  Quantitative measurement of medial femoral knee cartilage volume - analysis of the OA Biomarkers Consortium FNIH Study cohort.

Authors:  L F Schaefer; M Sury; M Yin; S Jamieson; I Donnell; S E Smith; J A Lynch; M C Nevitt; J Duryea
Journal:  Osteoarthritis Cartilage       Date:  2017-01-30       Impact factor: 6.576

2.  Multiple-echo steady-state (MESS): Extending DESS for joint T2 mapping and chemical-shift corrected water-fat separation.

Authors:  Frank Zijlstra; Peter R Seevinck
Journal:  Magn Reson Med       Date:  2021-07-16       Impact factor: 4.668

  2 in total

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