ArticleClinical neuroradiology2019
Diffusion Tensor Imaging of Dystrophic Skeletal Muscle : Comparison of Two Segmentation Methods Adapted to Chemical-shift-encoded Water-fat MRI.
Article in Clinical neuroradiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- Diffusion tensor imaging reveals subclinical alterations in muscles of patients with Becker muscular dystrophy.The British journal of radiology · 2024Article
- Clinical applications of skeletal muscle diffusion tensor imaging.Skeletal radiology · 2023Review
- Diffusion-tensor magnetic resonance imaging captures increased skeletal muscle fibre diameters in Becker muscular dystrophy.Journal of cachexia, sarcopenia and muscle · 2023Article
- Muscle quantitative MRI in adult SMA patients on nusinersen treatment: a longitudinal study.Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2022Article
- Evaluation of lateral pterygoid muscle in patients with temporomandibular joint anterior disk displacement using T1-weighted Dixon sequence: a retrospective study.BMC musculoskeletal disorders · 2022Article
- Reproducibility of manual segmentation in muscle imaging.Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2021Article
- High Inter-Rater Reliability of Manual Segmentation and Volume-Based Tractography in Healthy and Dystrophic Human Calf Muscle.Diagnostics (Basel, Switzerland) · 2021Article
- Usefulness of readout-segmented EPI-based diffusion tensor imaging of lacrimal gland for detection and disease staging in thyroid-associated ophthalmopathy.BMC ophthalmology · 2021Article
- Quantitative Muscle MRI Protocol as Possible Biomarker in Becker Muscular Dystrophy.Clinical neuroradiology · 2021Article
- Signal-to-noise ratio assessment of muscle diffusion tensor imaging using single image set and validation by the difference image method.The British journal of radiology · 2019Article
- Advancements in magnetic resonance imaging-based biomarkers for muscular dystrophy.Muscle & nerve · 2019Review
- Advances in Quantitative Imaging of Genetic and Acquired Myopathies: Clinical Applications and Perspectives.Frontiers in neurology · 2019Review
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo compare the influence of two different regions of interest (ROIs) on diffusion tensor metrics in dystrophic thigh muscles using a custom-made (whole muscle) ROI including and a selective ROI excluding areas of fatty replacement.
methodsDiffusion tensor imaging (DTI) and chemical-shift-encoded water-fat magnetic resonance imaging (MRI) of the thigh was conducted on a 3-Tesla system in 15 cases with muscular dystrophy and controls. The ROIs were chosen according to patterns of fatty replacement on co-registered axial DTI and gradient echo sequence (GRE) images. Fractional anisotropy (FA), apparent diffusion coefficient (ADC), fiber track length (FTL), and muscle fat fractions (MFF) were compared between both ROI segmentations. These comparisons, muscle-specific correlation coefficients, and the influence of ROI localization on tensor metrics were derived based on linear mixed effects regression models.
resultsIn the cases a high correlation was observed for ADC and FA with MFF using a custom ROI. The correlation was weaker but still significant with a selective ROI method. Using the custom ROI, FTL correlated significantly with MFF in 3 out of 4 muscles (r ≤ -0.51). A correlation was not found for the selective ROI method. Interaction analysis revealed that the association of ADC and FA with MFF was not significantly influenced by the ROI localization. For FTL the ROI localization significantly reduced the negative association with MFF.
conclusionThe DTI metrics and FTL of custom ROI segmentation are significantly influenced by MFF. Contrary to ADC and FA, the effect of MFF on FTL is significantly reduced when applying selective ROI segmentation, which could therefore be a better option for MR tractography.
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