Literature DB >> 31313867

Multi-center evaluation of stability and reproducibility of quantitative MRI measures in healthy calf muscles.

Lara Schlaffke1,2,3, Robert Rehmann2, Marlena Rohm2, Louise A M Otto4, Alberto de Luca1, Jedrzej Burakiewicz3, Celine Baligand3, Jithsa Monte5, Chiel den Harder5, Melissa T Hooijmans5, Aart Nederveen5, Sarah Schlaeger6, Dominik Weidlich6, Dimitrios C Karampinos6, Anders Stouge7, Michael Vaeggemose7, Maria Grazia D'Angelo8, Filippo Arrigoni9, Hermien E Kan3, Martijn Froeling1.   

Abstract

The purpose of this study was to evaluate temporal stability, multi-center reproducibility and the influence of covariates on a multimodal MR protocol for quantitative muscle imaging and to facilitate its use as a standardized protocol for evaluation of pathology in skeletal muscle. Quantitative T2, quantitative diffusion and four-point Dixon acquisitions of the calf muscles of both legs were repeated within one hour. Sixty-five healthy volunteers (31 females) were included in one of eight 3-T MR systems. Five traveling subjects were examined in six MR scanners. Average values over all slices of water-T2 relaxation time, proton density fat fraction (PDFF) and diffusion metrics were determined for seven muscles. Temporal stability was tested with repeated measured ANOVA and two-way random intraclass correlation coefficient (ICC). Multi-center reproducibility of traveling volunteers was assessed by a two-way mixed ICC. The factors age, body mass index, gender and muscle were tested for covariance. ICCs of temporal stability were between 0.963 and 0.999 for all parameters. Water-T2 relaxation decreased significantly (P < 10-3 ) within one hour by ~ 1 ms. Multi-center reproducibility showed ICCs within 0.879-0.917 with the lowest ICC for mean diffusivity. Different muscles showed the highest covariance, explaining 20-40% of variance for observed parameters. Standardized acquisition and processing of quantitative muscle MRI data resulted in high comparability among centers. The imaging protocol exhibited high temporal stability over one hour except for water T2 relaxation times. These results show that data pooling is feasible and enables assembling data from patients with neuromuscular diseases, paving the way towards larger studies of rare muscle disorders.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Keywords:  diffusion-weighted imaging; muscle; quantitation; skeletal

Mesh:

Year:  2019        PMID: 31313867     DOI: 10.1002/nbm.4119

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  14 in total

1.  Linearity and Bias of Proton Density Fat Fraction as a Quantitative Imaging Biomarker: A Multicenter, Multiplatform, Multivendor Phantom Study.

Authors:  Houchun H Hu; Takeshi Yokoo; Mustafa R Bashir; Claude B Sirlin; Diego Hernando; Dariya Malyarenko; Thomas L Chenevert; Mark A Smith; Suraj D Serai; Michael S Middleton; Walter C Henderson; Gavin Hamilton; Jean Shaffer; Yunhong Shu; Jean A Tkach; Andrew T Trout; Nancy Obuchowski; Jean H Brittain; Edward F Jackson; Scott B Reeder
Journal:  Radiology       Date:  2021-01-19       Impact factor: 11.105

2.  PCA denoising and Wiener deconvolution of 31 P 3D CSI data to enhance effective SNR and improve point spread function.

Authors:  Martijn Froeling; Jeanine J Prompers; Dennis W J Klomp; Tijl A van der Velden
Journal:  Magn Reson Med       Date:  2021-02-01       Impact factor: 4.668

3.  Residual quadrupolar couplings observed in 7 Tesla deuterium MR spectra of skeletal muscle.

Authors:  Ayhan Gursan; Martijn Froeling; Arjan D Hendriks; Dimitri Welting; Arno P M Kentgens; Dennis W J Klomp; Jeanine J Prompers
Journal:  Magn Reson Med       Date:  2021-10-17       Impact factor: 3.737

4.  Novel Muscle Imaging in Inflammatory Rheumatic Diseases-A Focus on Ultrasound Shear Wave Elastography and Quantitative MRI.

Authors:  Matthew Farrow; John Biglands; Abdulrahman M Alfuraih; Richard J Wakefield; Ai Lyn Tan
Journal:  Front Med (Lausanne)       Date:  2020-08-12

5.  Fast Open-Source Toolkit for Water T2 Mapping in the Presence of Fat From Multi-Echo Spin-Echo Acquisitions for Muscle MRI.

Authors:  Francesco Santini; Xeni Deligianni; Matteo Paoletti; Francesca Solazzo; Matthias Weigel; Paulo Loureiro de Sousa; Oliver Bieri; Mauro Monforte; Enzo Ricci; Giorgio Tasca; Anna Pichiecchio; Niels Bergsland
Journal:  Front Neurol       Date:  2021-02-26       Impact factor: 4.003

6.  Quantification of disease progression in spinal muscular atrophy with muscle MRI-a pilot study.

Authors:  Louise A M Otto; Martijn Froeling; Ruben P A van Eijk; Fay-Lynn Asselman; Renske Wadman; Inge Cuppen; Jeroen Hendrikse; W-Ludo van der Pol
Journal:  NMR Biomed       Date:  2021-01-22       Impact factor: 4.044

7.  Multi-parametric MR in Becker muscular dystrophy patients.

Authors:  Melissa T Hooijmans; Martijn Froeling; Zaida Koeks; Jan J G M Verschuuren; Andrew Webb; Erik H Niks; Hermien E Kan
Journal:  NMR Biomed       Date:  2020-08-05       Impact factor: 4.044

8.  Quantitative MRI Reveals Microstructural Changes in the Upper Leg Muscles After Running a Marathon.

Authors:  Melissa T Hooijmans; Jithsa R C Monte; Martijn Froeling; Sandra van den Berg-Faay; Vincent L Aengevaeren; Robert Hemke; Frank F Smithuis; Thijs M H Eijsvogels; Adrianus J Bakermans; Mario Maas; Aart J Nederveen; Gustav J Strijkers
Journal:  J Magn Reson Imaging       Date:  2020-03-07       Impact factor: 4.813

9.  The effect of ageing on skeletal muscle as assessed by quantitative MR imaging: an association with frailty and muscle strength.

Authors:  M Farrow; J Biglands; S F Tanner; A Clegg; L Brown; E M A Hensor; P O'Connor; P Emery; A L Tan
Journal:  Aging Clin Exp Res       Date:  2020-03-20       Impact factor: 3.636

10.  The feasibility of quantitative MRI of extra-ocular muscles in myasthenia gravis and Graves' orbitopathy.

Authors:  Kevin R Keene; Luc van Vught; Nienke M van de Velde; Isabeau A Ciggaar; Irene C Notting; Stijn W Genders; Jan J G M Verschuuren; Martijn R Tannemaat; Hermien E Kan; Jan-Willem M Beenakker
Journal:  NMR Biomed       Date:  2020-09-07       Impact factor: 4.044

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