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Claudia Nuñez-Peralta

Researcher at Autonomous University of Barcelona

Publications -  17
Citations -  164

Claudia Nuñez-Peralta is an academic researcher from Autonomous University of Barcelona. The author has contributed to research in topics: Skeletal muscle & Sarcopenia. The author has an hindex of 6, co-authored 16 publications receiving 88 citations.

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Muscle MRI in a large cohort of patients with oculopharyngeal muscular dystrophy

TL;DR: An early combination of fat replacement in the tongue, adductor magnus and soleus can be helpful for differential diagnosis in OPMD and the findings suggest the natural history of the disease from a radiological point of view.
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Accuracy of a machine learning muscle MRI-based tool for the diagnosis of muscular dystrophies

TL;DR: In this paper, a software-based tool that can recognize muscle MRI patterns and thus aid diagnosis of MDs was developed, which can help doctors in the diagnosis of muscle dystrophies by analyzing patterns of muscle fatty replacement in muscle MRI.
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Follow-up of late-onset Pompe disease patients with muscle magnetic resonance imaging reveals increase in fat replacement in skeletal muscles.

TL;DR: It is identified that skeletal muscle fat fraction continues to increase in patients with LOPD despite the treatment with enzymatic replacement therapy, and qMRI results suggest that the process of muscle degeneration is not stopped by the treatment and could impact muscle function over the years.
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Thigh Muscle Fat Infiltration Is Associated With Impaired Physical Performance Despite Remission in Cushing's Syndrome

TL;DR: Thigh muscle fatty infiltration is increased in "cured" CS patients, and associated with poorer muscle performance, and future studies are needed to establish therapeutic strategies improving muscle weakness in these patients.
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The increasing role of muscle MRI to monitor changes over time in untreated and treated muscle diseases.

TL;DR: The latest results obtained from the study of long cohorts of patients with various neuromuscular diseases open the door to the use of this technology in clinical trials, which would make it possible to obtain a new measure for assessing the effectiveness of new treatments.