Comparison of quantitative muscle ultrasound and whole-body muscle MRI in facioscapulohumeral muscular dystrophy type 1 patients.
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| Title: | Comparison of quantitative muscle ultrasound and whole-body muscle MRI in facioscapulohumeral muscular dystrophy type 1 patients. |
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| Authors: | Fionda, Laura (AUTHOR), Vanoli, Fiammetta (AUTHOR), Di Pasquale, Antonella (AUTHOR), Leonardi, Luca (AUTHOR), Morino, Stefania (AUTHOR), Merlonghi, Gioia (AUTHOR), Lauletta, Antonio (AUTHOR), Alfieri, Girolamo (AUTHOR), Costanzo, Rocco (AUTHOR), Tufano, Laura (AUTHOR), Rossini, Elena (AUTHOR), Bucci, Elisabetta (AUTHOR), Grossi, Andrea (AUTHOR), Tupler, Rossella (AUTHOR), Salvetti, Marco (AUTHOR), Garibaldi, Matteo (AUTHOR), Antonini, Giovanni (AUTHOR) |
| Source: | Neurological Sciences. Nov2023, Vol. 44 Issue 11, p4057-4064. 8p. |
| Subjects: | Rectus femoris muscles, Ultrasonic imaging, Magnetic resonance imaging, Tibialis anterior, Older patients, Facioscapulohumeral muscular dystrophy, Inverse relationships (Mathematics), Bladder cancer |
| Abstract: | Introduction: Muscle ultrasound is a fast, non-invasive and cost-effective examination that can identify structural muscular changes by assessing muscle thickness and echointensity (EI) with a quantitative analysis (QMUS). To assess applicability and repeatability of QMUS, we evaluated patients with genetically confirmed facioscapulohumeral muscular dystrophy type 1 (FSHD1), comparing their muscle ultrasound characteristics with healthy controls and with those detected by MRI. We also evaluated relationships between QMUS and demographic and clinical characteristics. Materials and methods: Thirteen patients were included in the study. Clinical assessment included MRC sum score, FSHD score and The Comprehensive Clinical Evaluation Form (CCEF). QMUS was performed with a linear transducer scanning bilaterally pectoralis major, deltoid, rectus femoris, tibialis anterior and semimembranosus muscles in patients and healthy subjects. For each muscle, we acquired three images, which were analysed calculating muscle EI by computer-assisted grey-scale analysis. QMUS analysis was compared with semiquantitative 1.5 T muscle MRI scale. Results: All muscles in FSHD patients showed a significant increased echogenicity compared to the homologous muscles in healthy subjects. Older subjects and patients with higher FSHD score presented increased muscle EI. Tibialis anterior MRC showed a significant inverse correlation with EI. Higher median EI was found in muscles with more severe MRI fat replacement. Conclusions: QMUS allows quantitative evaluation of muscle echogenicity, displaying a tight correlation with muscular alterations, clinical and MRI data. Although a confirmation on larger sample is needed, our research suggests a possible future application of QMUS in diagnosis and management of muscular disorders. [ABSTRACT FROM AUTHOR] |
| Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Items | – Name: Title Label: Title Group: Ti Data: Comparison of quantitative muscle ultrasound and whole-body muscle MRI in facioscapulohumeral muscular dystrophy type 1 patients. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fionda%2C+Laura%22">Fionda, Laura</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vanoli%2C+Fiammetta%22">Vanoli, Fiammetta</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Di+Pasquale%2C+Antonella%22">Di Pasquale, Antonella</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Leonardi%2C+Luca%22">Leonardi, Luca</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Morino%2C+Stefania%22">Morino, Stefania</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Merlonghi%2C+Gioia%22">Merlonghi, Gioia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lauletta%2C+Antonio%22">Lauletta, Antonio</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Alfieri%2C+Girolamo%22">Alfieri, Girolamo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Costanzo%2C+Rocco%22">Costanzo, Rocco</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tufano%2C+Laura%22">Tufano, Laura</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rossini%2C+Elena%22">Rossini, Elena</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bucci%2C+Elisabetta%22">Bucci, Elisabetta</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Grossi%2C+Andrea%22">Grossi, Andrea</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tupler%2C+Rossella%22">Tupler, Rossella</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Salvetti%2C+Marco%22">Salvetti, Marco</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Garibaldi%2C+Matteo%22">Garibaldi, Matteo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Antonini%2C+Giovanni%22">Antonini, Giovanni</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Neurological+Sciences%22">Neurological Sciences</searchLink>. Nov2023, Vol. 44 Issue 11, p4057-4064. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Rectus+femoris+muscles%22">Rectus femoris muscles</searchLink><br /><searchLink fieldCode="DE" term="%22Ultrasonic+imaging%22">Ultrasonic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Tibialis+anterior%22">Tibialis anterior</searchLink><br /><searchLink fieldCode="DE" term="%22Older+patients%22">Older patients</searchLink><br /><searchLink fieldCode="DE" term="%22Facioscapulohumeral+muscular+dystrophy%22">Facioscapulohumeral muscular dystrophy</searchLink><br /><searchLink fieldCode="DE" term="%22Inverse+relationships+%28Mathematics%29%22">Inverse relationships (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Bladder+cancer%22">Bladder cancer</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Introduction: Muscle ultrasound is a fast, non-invasive and cost-effective examination that can identify structural muscular changes by assessing muscle thickness and echointensity (EI) with a quantitative analysis (QMUS). To assess applicability and repeatability of QMUS, we evaluated patients with genetically confirmed facioscapulohumeral muscular dystrophy type 1 (FSHD1), comparing their muscle ultrasound characteristics with healthy controls and with those detected by MRI. We also evaluated relationships between QMUS and demographic and clinical characteristics. Materials and methods: Thirteen patients were included in the study. Clinical assessment included MRC sum score, FSHD score and The Comprehensive Clinical Evaluation Form (CCEF). QMUS was performed with a linear transducer scanning bilaterally pectoralis major, deltoid, rectus femoris, tibialis anterior and semimembranosus muscles in patients and healthy subjects. For each muscle, we acquired three images, which were analysed calculating muscle EI by computer-assisted grey-scale analysis. QMUS analysis was compared with semiquantitative 1.5 T muscle MRI scale. Results: All muscles in FSHD patients showed a significant increased echogenicity compared to the homologous muscles in healthy subjects. Older subjects and patients with higher FSHD score presented increased muscle EI. Tibialis anterior MRC showed a significant inverse correlation with EI. Higher median EI was found in muscles with more severe MRI fat replacement. Conclusions: QMUS allows quantitative evaluation of muscle echogenicity, displaying a tight correlation with muscular alterations, clinical and MRI data. Although a confirmation on larger sample is needed, our research suggests a possible future application of QMUS in diagnosis and management of muscular disorders. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10072-023-06842-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 4057 Subjects: – SubjectFull: Rectus femoris muscles Type: general – SubjectFull: Ultrasonic imaging Type: general – SubjectFull: Magnetic resonance imaging Type: general – SubjectFull: Tibialis anterior Type: general – SubjectFull: Older patients Type: general – SubjectFull: Facioscapulohumeral muscular dystrophy Type: general – SubjectFull: Inverse relationships (Mathematics) Type: general – SubjectFull: Bladder cancer Type: general Titles: – TitleFull: Comparison of quantitative muscle ultrasound and whole-body muscle MRI in facioscapulohumeral muscular dystrophy type 1 patients. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fionda, Laura – PersonEntity: Name: NameFull: Vanoli, Fiammetta – PersonEntity: Name: NameFull: Di Pasquale, Antonella – PersonEntity: Name: NameFull: Leonardi, Luca – PersonEntity: Name: NameFull: Morino, Stefania – PersonEntity: Name: NameFull: Merlonghi, Gioia – PersonEntity: Name: NameFull: Lauletta, Antonio – PersonEntity: Name: NameFull: Alfieri, Girolamo – PersonEntity: Name: NameFull: Costanzo, Rocco – PersonEntity: Name: NameFull: Tufano, Laura – PersonEntity: Name: NameFull: Rossini, Elena – PersonEntity: Name: NameFull: Bucci, Elisabetta – PersonEntity: Name: NameFull: Grossi, Andrea – PersonEntity: Name: NameFull: Tupler, Rossella – PersonEntity: Name: NameFull: Salvetti, Marco – PersonEntity: Name: NameFull: Garibaldi, Matteo – PersonEntity: Name: NameFull: Antonini, Giovanni IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 15901874 Numbering: – Type: volume Value: 44 – Type: issue Value: 11 Titles: – TitleFull: Neurological Sciences Type: main |
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