Robustness and stability of volume‐based tractography in a multicenter setting

Forsting, Johannes; Rehmann, Robert; Rohm, Marlena; Güttsches, Anne‐Katrin; Froeling, Martijn; Kan, Hermien E.; Tegenthoff, Martin; Vorgerd, Matthias; Schlaffke, Lara

doi:10.1002/nbm.4707

Cited by 4 publications

(1 citation statement)

References 48 publications

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“…Results from advanced qMRI techniques like quantitative T2 measures, diffusion tensor imaging (DTI), and Dixon fat fraction (FF) imaging provide additional information about underlying pathophysiology [16]. Whereas quantitative T2 measures have been shown to reflect the degree of myoedema and inflammation, DTI allows conclusions about muscular micro-and macrostructure [14,17,18]. Most importantly, findings based on both techniques were related to histopathologic features in neuromuscular disorders and were sensitive in detecting subtle changes after physical exertion and in otherwise healthy-appearing, non-fat-infiltrated muscles in neuromuscular disorders [16,19].…”

Section: Introductionmentioning

confidence: 99%

Quantitative muscle magnetic resonance imaging depicts microstructural abnormalities but no signs of inflammation or dystrophy in post‐COVID‐19 condition

Enax-Krumova

Forsting

Rohm

et al. 2023

Euro J of Neurology

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Background and Purpose Post‐COVID‐19 condition (PCC) has high impact on quality of life, with myalgia and fatigue affecting at least 25% of PCC patients. This case–control study aims to noninvasively assess muscular alterations via quantitative muscle magnetic resonance imaging (MRI) as possible mechanisms for ongoing musculoskeletal complaints and premature exhaustion in PCC. Methods Quantitative muscle MRI was performed on a 3 Tesla MRI scanner of the whole legs in PCC patients compared to age‐ and sex‐matched healthy controls, including a Dixon sequence to determine muscle fat fraction (FF), a multi‐echo spin‐echo sequence for quantitative water mapping reflecting putative edema, and a diffusion‐weighted spin‐echo echo‐planar imaging sequence to assess microstructural alterations. Clinical examination, nerve conduction studies, and serum creatine kinase were performed in all patients. Quantitative muscle MRI results were correlated to the results of the 6‐min walk test and standardized questionnaires assessing quality of life, fatigue, and depression. Results Twenty PCC patients (female: n = 15, age = 48.8 ± 10.1 years, symptoms duration = 13.4 ± 4.2 months, body mass index [BMI] = 28.8 ± 4.7 kg/m2) were compared to 20 healthy controls (female: n = 15, age = 48.1 ± 11.1 years, BMI = 22.9 ± 2.2 kg/m2). Neither FF nor T2 revealed signs of muscle degeneration or inflammation in either study groups. Diffusion tensor imaging (DTI) revealed reduced mean, axial, and radial diffusivity in the PCC group. Conclusions Quantitative muscle MRI did not depict any signs of ongoing inflammation or dystrophic process in the skeletal muscles in PCC patients. However, differences observed in muscle DTI depict microstructural abnormalities, which may reflect potentially reversible fiber hypotrophy due to deconditioning. Further longitudinal and interventional studies should prove this hypothesis.

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Section: Introductionmentioning

confidence: 99%

Quantitative muscle magnetic resonance imaging depicts microstructural abnormalities but no signs of inflammation or dystrophy in post‐COVID‐19 condition

Enax-Krumova

Forsting

Rohm

et al. 2023

Euro J of Neurology

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Prospective longitudinal cohort study of quantitative muscle magnetic resonance imaging in a healthy control population

Forsting,

Rehmann,

Rohm

et al. 2024

NMR in Biomedicine

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Quantitative muscle magnetic resonance imaging (qMRI) is a valuable methodology for assessing muscular injuries and neuromuscular disorders. Notably, muscle diffusion tensor imaging (DTI) gives insights into muscle microstructural and macrostructural characteristics. However, the long‐term reproducibility and robustness of these measurements remain relatively unexplored. The purpose of this prospective longitudinal cohort study was to assess the long‐term robustness and range of variation of qMRI parameters, especially DTI metrics, in the lower extremity muscles of healthy controls under real‐life conditions. Twelve volunteers (seven females, age 44.1 ± 12.1 years, body mass index 23.3 ± 2.0 kg/m2) underwent five leg muscle MRI sessions every 20 ± 4 weeks over a total period of 1.5 years. A multiecho gradient‐echo Dixon‐based sequence, a multiecho spin‐echo T2‐mapping sequence, and a spin‐echo echo planar imaging diffusion‐weighted sequence were acquired bilaterally with a Philips 3‐T Achieva MR System using a 16‐channel torso coil. Fifteen leg muscles were segmented in both lower extremities. qMRI parameters, including fat fraction (FF), water T2 relaxation time, and the diffusion metrics fractional anisotropy (FA) and mean diffusivity (MD), were evaluated. Coefficients of variance (wsCV) and intraclass correlation coefficients (ICCs) were calculated to assess the reproducibility of qMRI parameters. The standard error of measurement (SEM) and the minimal detectable change (MDC) were calculated to determine the range of variation. All tests were applied to all muscles and, subsequently, to each muscle separately. wsCV showed good reproducibility (≤ 10%) for all qMRI parameters in all muscles. The ICCs revealed excellent agreement between time points (FF = 0.980, water T2 = 0.941, FA = 0.952, MD = 0.948). Random measurement errors assessed by SEM and the MDC were low (< 12%). In conclusion, in this study, we showed that qMRI parameters in healthy volunteers living normal lives are stable over 18 months, thereby defining a benchmark for the expected range of variation over time.

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Spherical-deconvolution informed filtering of tractograms changes laterality of structural connectome

He,

Hong,

2024

NeuroImage

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Robustness and stability of volume‐based tractography in a multicenter setting

Cited by 4 publications

References 48 publications

Quantitative muscle magnetic resonance imaging depicts microstructural abnormalities but no signs of inflammation or dystrophy in post‐COVID‐19 condition

Quantitative muscle magnetic resonance imaging depicts microstructural abnormalities but no signs of inflammation or dystrophy in post‐COVID‐19 condition

Prospective longitudinal cohort study of quantitative muscle magnetic resonance imaging in a healthy control population

Spherical-deconvolution informed filtering of tractograms changes laterality of structural connectome

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