Semi-automated volumetry of MRI serves as a biomarker in neuromuscular patients.
Background: Muscle MRI is of increasing importance for neuromuscular patients to detect changes in muscle volume, fat-infiltration, and edema. We developed a method for semi-automated segmentation of muscle MRI datasets.Methods: An active contour-evolution algorithm implemented within the ITK-SNAP s...
| Publicado en: | Muscle & Nerve Vol. 61; no. 5; pp. 600 - 608 |
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| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
May2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142832509&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142832509 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0148639X 2S7 jtl: Muscle & Nerve issn: 0148639X maglogo: Y pubinfo: dt: May2020 vid: 61 iid: 5 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 142832509 142832509 145774549 NLM32022288 10.1002/mus.26827 NLM32022288 142832509 ppf: 600 ppct: 8 formats: tig: atl: Semi-automated volumetry of MRI serves as a biomarker in neuromuscular patients. aug: au: Müller, Madlaine Dohrn, Maike F. Romanzetti, Sandro Gadermayr, Michael Reetz, Kathrin Krämer, Nils A. Kuhl, Christiane Schulz, Jörg B. Gess, Burkhard affil: Department of Neurology, University Hospital Aachen, Aachen, Germany sug: subj: Peripheral Nervous System Diseases Software Muscular Diseases Muscle, Skeletal Magnetic Resonance Imaging Diabetic Neuropathies Pathology Case Control Studies Charcot-Marie-Tooth Disease Retrospective Design Body Weights and Measures Charcot-Marie-Tooth Disease Pathology Polymyositis Pathology Muscle, Skeletal Pathology Myositis Pathology Peripheral Nervous System Diseases Pathology Muscular Diseases Pathology Diabetic Neuropathies Myositis, Inclusion Body Pathology Polyradiculoneuritis Pathology Muscular Dystrophy Pathology Female Polymyositis Image Processing, Computer Assisted Male Muscular Dystrophy Automation Polyradiculoneuritis Myositis Adult Myositis, Inclusion Body Middle Age Aged Scales Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Female Male ab: Background: Muscle MRI is of increasing importance for neuromuscular patients to detect changes in muscle volume, fat-infiltration, and edema. We developed a method for semi-automated segmentation of muscle MRI datasets.Methods: An active contour-evolution algorithm implemented within the ITK-SNAP software was used to segment T1-weighted MRI, and to quantify muscle volumes of neuromuscular patients (n = 65).Results: Semi-automated compared with manual segmentation was shown to be accurate and time-efficient. Muscle volumes and ratios of thigh/lower leg volume were lower in myopathy patients than in controls (P < .0001; P < .05). We found a decrease of lower leg muscle volume in neuropathy patients compared with controls (P < .01), which correlated with clinical parameters. In myopathy patients, muscle volume showed a positive correlation with muscle strength (rleft = 0.79, pleft < .0001). Muscle volumes were independent of body mass index and age.Conclusions: Our method allows for exact and time-efficient quantification of muscle volumes with possible use as a biomarker in neuromuscular patients. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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