Lara Schlaffke

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Articles (16)

Background: Quantitative muscle MRI (qMRI) is a promising tool for evaluating and monitoring neuromuscular disorders (NMD). However, the application of different imaging protocols and processing pipelines restricts comparison between patient cohorts and disorders. In this qMRI study, we aim to compare dystrophic (limb-girdle muscular dystrophy), inflammatory (inclusion body myositis), and metabolic myopathy (Pompe disease) as well as patients with post-COVID-19 conditions suffering from myalgia to healthy controls. Methods: Ten subjects of each group underwent a 3T lower extremity muscle MRI, including a multi-echo, gradient-echo, Dixon-based sequence, a multi-echo, spin-echo (MESE) T2 mapping sequence, and a spin-echo EPI diffusion-weighted sequence. Furthermore, the following clinical assessments were performed: Quick Motor Function Measure, patient questionnaires for daily life activities, and 6-min walking distance. Results: Different involvement patterns of conspicuous qMRI parameters for different NMDs were observed. qMRI metrics correlated significantly with clinical assessments. Conclusions: qMRI metrics are suitable for evaluating patients with NMD since they show differences in muscular involvement in different NMDs and correlate with clinical assessments. Still, standardisation of acquisition and processing is needed for broad clinical use.

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2024

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2024

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2024

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2024

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2023

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2023

Due to its exceptional sensitivity to soft tissues, MRI has been extensively utilized to assess anatomical muscle parameters such as muscle volume and cross‐sectional area. Quantitative Magnetic Resonance Imaging (qMRI) adds to the capabilities of MRI, by providing information on muscle composition such as fat content, water content, microstructure, hypertrophy, atrophy, as well as muscle architecture. In addition to compositional changes, qMRI can also be used to assess function for example by measuring muscle quality or through characterization of muscle deformation during passive lengthening/shortening and active contractions. The overall aim of this review is to provide an updated overview of qMRI techniques that can quantitatively evaluate muscle structure and composition, provide insights into the underlying biological basis of the qMRI signal, and illustrate how qMRI biomarkers of muscle health relate to function in healthy and diseased/injured muscles. While some applications still require systematic clinical validation, qMRI is now established as a comprehensive technique, that can be used to characterize a wide variety of structural and compositional changes in healthy and diseased skeletal muscle. Taken together, multiparametric muscle MRI holds great potential in the diagnosis and monitoring of muscle conditions in research and clinical applications. Evidence Level 5 Technical Efficacy Stage 2

Year:

2023

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/m 2 ) were compared to 20 healthy controls (female: n = 15, age = 48.1 ± 11.1 years, BMI = 22.9 ± 2.2 kg/m 2 ). 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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2023

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2023

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2023

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2023

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2022

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2021

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2021

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2021

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2021

Collaborators (12)

Bruno Cozzi

professor

University of Padova

ITALY
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Valentina Mazzoli

-

UNITED STATES
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Martijn Froeling

University Medical Center Groningen

NETHERLANDS
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Jean-Marie Graïc

University of Padova

ITALY
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Christine Meyer-Frießem

Brugmann University Hospital

GERMANY
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Anne Schänzer

Professor of Neuropathology

Justus Liebig University

GERMANY
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Stefan Huggenberger

Lecturer

Witten/Herdecke University

GERMANY
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Matthias Vorgerd

-

GERMANY
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Antonella Peruffo

University of Padua

ITALY
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Maia Angelova

Professor of Data Analytics and Machine Learning, Director of Data to Intelligence Research Centre, Leader of Data Analytics Research Lab

Deakin University - Melbourne Burwood Campus

AUSTRALIA
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Daniel Belavy

Professor of Physiotherapy

Hochschule für Gesundheit

GERMANY
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Johannes Forsting

Ruhr-Universität Bochum

GERMANY
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