Advances in Quantitative Imaging of Genetic and Acquired Myopathies: Clinical Applications and Perspectives
In the last years, magnetic resonance imaging (MRI) has become fundamental for the diagnosis and monitoring of myopathies given its ability to show the severity and distribution of pathology, to identify specific patterns of damage distribution and to properly interpret a number of genetic variants....
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doaj-694100da1e6a4c0dafb9e81f18bd45a42020-11-25T02:15:43ZengFrontiers Media S.A.Frontiers in Neurology1664-22952019-02-011010.3389/fneur.2019.00078436619Advances in Quantitative Imaging of Genetic and Acquired Myopathies: Clinical Applications and PerspectivesMatteo Paoletti0Matteo Paoletti1Anna Pichiecchio2Anna Pichiecchio3Stefano Cotti Piccinelli4Giorgio Tasca5Angela L. Berardinelli6Alessandro Padovani7Massimiliano Filosto8Neuroradiology Department, IRCCS Mondino Foundation, Pavia, ItalyDepartment of Brain and Behavioural Sciences, University of Pavia, Pavia, ItalyNeuroradiology Department, IRCCS Mondino Foundation, Pavia, ItalyDepartment of Brain and Behavioural Sciences, University of Pavia, Pavia, ItalyUnit of Neurology, Center for Neuromuscular Diseases, ASST Spedali Civili and University of Brescia, Brescia, ItalyNeurology Department, Dipartimento di Scienze dell'Invecchiamento, Neurologiche, Ortopediche e della Testa-Collo, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, ItalyChild Neurology Unit, IRCCS Mondino Foundation, Pavia, ItalyUnit of Neurology, Center for Neuromuscular Diseases, ASST Spedali Civili and University of Brescia, Brescia, ItalyUnit of Neurology, Center for Neuromuscular Diseases, ASST Spedali Civili and University of Brescia, Brescia, ItalyIn the last years, magnetic resonance imaging (MRI) has become fundamental for the diagnosis and monitoring of myopathies given its ability to show the severity and distribution of pathology, to identify specific patterns of damage distribution and to properly interpret a number of genetic variants. The advances in MR techniques and post-processing software solutions have greatly expanded the potential to assess pathological changes in muscle diseases, and more specifically of myopathies; a number of features can be studied and quantified, ranging from composition, architecture, mechanical properties, perfusion, and function, leading to what is known as quantitative MRI (qMRI). Such techniques can effectively provide a variety of information beyond what can be seen and assessed by conventional MR imaging; their development and application in clinical practice can play an important role in the diagnostic process and in assessing disease course and treatment response. In this review, we briefly discuss the current role of muscle MRI in diagnosing muscle diseases and describe in detail the potential and perspectives of the application of advanced qMRI techniques in this field.https://www.frontiersin.org/article/10.3389/fneur.2019.00078/fullmuscular imagingneuromuscular diseasesMRImyopathyadvanced imaging |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Matteo Paoletti Matteo Paoletti Anna Pichiecchio Anna Pichiecchio Stefano Cotti Piccinelli Giorgio Tasca Angela L. Berardinelli Alessandro Padovani Massimiliano Filosto |
spellingShingle |
Matteo Paoletti Matteo Paoletti Anna Pichiecchio Anna Pichiecchio Stefano Cotti Piccinelli Giorgio Tasca Angela L. Berardinelli Alessandro Padovani Massimiliano Filosto Advances in Quantitative Imaging of Genetic and Acquired Myopathies: Clinical Applications and Perspectives Frontiers in Neurology muscular imaging neuromuscular diseases MRI myopathy advanced imaging |
author_facet |
Matteo Paoletti Matteo Paoletti Anna Pichiecchio Anna Pichiecchio Stefano Cotti Piccinelli Giorgio Tasca Angela L. Berardinelli Alessandro Padovani Massimiliano Filosto |
author_sort |
Matteo Paoletti |
title |
Advances in Quantitative Imaging of Genetic and Acquired Myopathies: Clinical Applications and Perspectives |
title_short |
Advances in Quantitative Imaging of Genetic and Acquired Myopathies: Clinical Applications and Perspectives |
title_full |
Advances in Quantitative Imaging of Genetic and Acquired Myopathies: Clinical Applications and Perspectives |
title_fullStr |
Advances in Quantitative Imaging of Genetic and Acquired Myopathies: Clinical Applications and Perspectives |
title_full_unstemmed |
Advances in Quantitative Imaging of Genetic and Acquired Myopathies: Clinical Applications and Perspectives |
title_sort |
advances in quantitative imaging of genetic and acquired myopathies: clinical applications and perspectives |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neurology |
issn |
1664-2295 |
publishDate |
2019-02-01 |
description |
In the last years, magnetic resonance imaging (MRI) has become fundamental for the diagnosis and monitoring of myopathies given its ability to show the severity and distribution of pathology, to identify specific patterns of damage distribution and to properly interpret a number of genetic variants. The advances in MR techniques and post-processing software solutions have greatly expanded the potential to assess pathological changes in muscle diseases, and more specifically of myopathies; a number of features can be studied and quantified, ranging from composition, architecture, mechanical properties, perfusion, and function, leading to what is known as quantitative MRI (qMRI). Such techniques can effectively provide a variety of information beyond what can be seen and assessed by conventional MR imaging; their development and application in clinical practice can play an important role in the diagnostic process and in assessing disease course and treatment response. In this review, we briefly discuss the current role of muscle MRI in diagnosing muscle diseases and describe in detail the potential and perspectives of the application of advanced qMRI techniques in this field. |
topic |
muscular imaging neuromuscular diseases MRI myopathy advanced imaging |
url |
https://www.frontiersin.org/article/10.3389/fneur.2019.00078/full |
work_keys_str_mv |
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