Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
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
_version_ 1783736934144671744
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
work_keys_str_mv AT vandeveldenienkem selectionapproachtoidentifytheoptimalbiomarkerusingquantitativemusclemriandfunctionalassessmentsinbeckermusculardystrophy
AT hooijmansmelissat selectionapproachtoidentifytheoptimalbiomarkerusingquantitativemusclemriandfunctionalassessmentsinbeckermusculardystrophy
AT sardjoemishreaashleysd selectionapproachtoidentifytheoptimalbiomarkerusingquantitativemusclemriandfunctionalassessmentsinbeckermusculardystrophy
AT keenekevinr selectionapproachtoidentifytheoptimalbiomarkerusingquantitativemusclemriandfunctionalassessmentsinbeckermusculardystrophy
AT koekszaida selectionapproachtoidentifytheoptimalbiomarkerusingquantitativemusclemriandfunctionalassessmentsinbeckermusculardystrophy
AT veegerthomtj selectionapproachtoidentifytheoptimalbiomarkerusingquantitativemusclemriandfunctionalassessmentsinbeckermusculardystrophy
AT allemaniris selectionapproachtoidentifytheoptimalbiomarkerusingquantitativemusclemriandfunctionalassessmentsinbeckermusculardystrophy
AT vanzweterikw selectionapproachtoidentifytheoptimalbiomarkerusingquantitativemusclemriandfunctionalassessmentsinbeckermusculardystrophy
AT beenakkerjanwillemm selectionapproachtoidentifytheoptimalbiomarkerusingquantitativemusclemriandfunctionalassessmentsinbeckermusculardystrophy
AT verschuurenjanjgm selectionapproachtoidentifytheoptimalbiomarkerusingquantitativemusclemriandfunctionalassessmentsinbeckermusculardystrophy
AT kanhermiene selectionapproachtoidentifytheoptimalbiomarkerusingquantitativemusclemriandfunctionalassessmentsinbeckermusculardystrophy
AT nikserikh selectionapproachtoidentifytheoptimalbiomarkerusingquantitativemusclemriandfunctionalassessmentsinbeckermusculardystrophy