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Selection Approach to Identify the Optimal Biomarker Using Quantitative Muscle MRI and Functional Assessments in Becker Muscular Dystrophy
OBJECTIVE: To identify the best quantitative fat–water MRI biomarker for disease progression of leg muscles in Becker muscular dystrophy (BMD) by applying a stepwise approach based on standardized response mean (SRM) over 24 months, correlations with baseline ambulatory tests, and reproducibility. M...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356376/ https://www.ncbi.nlm.nih.gov/pubmed/34162720 http://dx.doi.org/10.1212/WNL.0000000000012233 |
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author | van de Velde, Nienke M. Hooijmans, Melissa T. Sardjoe Mishre, Aashley S.D. Keene, Kevin R. Koeks, Zaïda Veeger, Thom T.J. Alleman, Iris van Zwet, Erik W. Beenakker, Jan-Willem M. Verschuuren, Jan J.G.M. Kan, Hermien E. Niks, Erik H. |
author_facet | van de Velde, Nienke M. Hooijmans, Melissa T. Sardjoe Mishre, Aashley S.D. Keene, Kevin R. Koeks, Zaïda Veeger, Thom T.J. Alleman, Iris van Zwet, Erik W. Beenakker, Jan-Willem M. Verschuuren, Jan J.G.M. Kan, Hermien E. Niks, Erik H. |
author_sort | van de Velde, Nienke M. |
collection | PubMed |
description | OBJECTIVE: To identify the best quantitative fat–water MRI biomarker for disease progression of leg muscles in Becker muscular dystrophy (BMD) by applying a stepwise approach based on standardized response mean (SRM) over 24 months, correlations with baseline ambulatory tests, and reproducibility. METHODS: Dixon fat–water imaging was performed at baseline (n = 24) and 24 months (n = 20). Fat fractions (FF) were calculated for 3 center slices and the whole muscles for 19 muscles and 6 muscle groups. Contractile cross-sectional area (cCSA) was obtained from the center slice. Functional assessments included knee extension and flexion force and 3 ambulatory tests (North Star Ambulatory Assessment [NSAA], 10-meter run, 6-minute walking test). MRI measures were selected using SRM (≥0.8) and correlation with all ambulatory tests (ρ ≤ −0.8). Measures were evaluated based on intraclass correlation coefficient (ICC) and SD of the difference. Sample sizes were calculated assuming 50% reduction in disease progression over 24 months in a clinical trial with 1:1 randomization. RESULTS: Median whole muscle FF increased between 0.2% and 2.6% without consistent cCSA changes. High SRMs and strong functional correlations were found for 8 FF but no cCSA measures. All measures showed excellent ICC (≥0.999) and similar SD of the interrater difference. Whole thigh 3 center slices FF was the best biomarker (SRM 1.04, correlations ρ ≤ −0.81, ICC 1.00, SD 0.23%, sample size 59) based on low SD and acquisition and analysis time. CONCLUSION: In BMD, median FF of all muscles increased over 24 months. Whole thigh 3 center slices FF reduced the sample size by approximately 40% compared to NSAA. |
format | Online Article Text |
id | pubmed-8356376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-83563762021-08-11 Selection Approach to Identify the Optimal Biomarker Using Quantitative Muscle MRI and Functional Assessments in Becker Muscular Dystrophy van de Velde, Nienke M. Hooijmans, Melissa T. Sardjoe Mishre, Aashley S.D. Keene, Kevin R. Koeks, Zaïda Veeger, Thom T.J. Alleman, Iris van Zwet, Erik W. Beenakker, Jan-Willem M. Verschuuren, Jan J.G.M. Kan, Hermien E. Niks, Erik H. Neurology Research Articles OBJECTIVE: To identify the best quantitative fat–water MRI biomarker for disease progression of leg muscles in Becker muscular dystrophy (BMD) by applying a stepwise approach based on standardized response mean (SRM) over 24 months, correlations with baseline ambulatory tests, and reproducibility. METHODS: Dixon fat–water imaging was performed at baseline (n = 24) and 24 months (n = 20). Fat fractions (FF) were calculated for 3 center slices and the whole muscles for 19 muscles and 6 muscle groups. Contractile cross-sectional area (cCSA) was obtained from the center slice. Functional assessments included knee extension and flexion force and 3 ambulatory tests (North Star Ambulatory Assessment [NSAA], 10-meter run, 6-minute walking test). MRI measures were selected using SRM (≥0.8) and correlation with all ambulatory tests (ρ ≤ −0.8). Measures were evaluated based on intraclass correlation coefficient (ICC) and SD of the difference. Sample sizes were calculated assuming 50% reduction in disease progression over 24 months in a clinical trial with 1:1 randomization. RESULTS: Median whole muscle FF increased between 0.2% and 2.6% without consistent cCSA changes. High SRMs and strong functional correlations were found for 8 FF but no cCSA measures. All measures showed excellent ICC (≥0.999) and similar SD of the interrater difference. Whole thigh 3 center slices FF was the best biomarker (SRM 1.04, correlations ρ ≤ −0.81, ICC 1.00, SD 0.23%, sample size 59) based on low SD and acquisition and analysis time. CONCLUSION: In BMD, median FF of all muscles increased over 24 months. Whole thigh 3 center slices FF reduced the sample size by approximately 40% compared to NSAA. Lippincott Williams & Wilkins 2021-08-03 /pmc/articles/PMC8356376/ /pubmed/34162720 http://dx.doi.org/10.1212/WNL.0000000000012233 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Research Articles van de Velde, Nienke M. Hooijmans, Melissa T. Sardjoe Mishre, Aashley S.D. Keene, Kevin R. Koeks, Zaïda Veeger, Thom T.J. Alleman, Iris van Zwet, Erik W. Beenakker, Jan-Willem M. Verschuuren, Jan J.G.M. Kan, Hermien E. Niks, Erik H. Selection Approach to Identify the Optimal Biomarker Using Quantitative Muscle MRI and Functional Assessments in Becker Muscular Dystrophy |
title | Selection Approach to Identify the Optimal Biomarker Using Quantitative Muscle MRI and Functional Assessments in Becker Muscular Dystrophy |
title_full | Selection Approach to Identify the Optimal Biomarker Using Quantitative Muscle MRI and Functional Assessments in Becker Muscular Dystrophy |
title_fullStr | Selection Approach to Identify the Optimal Biomarker Using Quantitative Muscle MRI and Functional Assessments in Becker Muscular Dystrophy |
title_full_unstemmed | Selection Approach to Identify the Optimal Biomarker Using Quantitative Muscle MRI and Functional Assessments in Becker Muscular Dystrophy |
title_short | Selection Approach to Identify the Optimal Biomarker Using Quantitative Muscle MRI and Functional Assessments in Becker Muscular Dystrophy |
title_sort | selection approach to identify the optimal biomarker using quantitative muscle mri and functional assessments in becker muscular dystrophy |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356376/ https://www.ncbi.nlm.nih.gov/pubmed/34162720 http://dx.doi.org/10.1212/WNL.0000000000012233 |
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