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Ryanodine Receptor 1-Related Myopathies: Quantification of Intramuscular Fatty Infiltration from T1-Weighted MRI

BACKGROUND: Ryanodine receptor 1-related myopathy (RYR1-RM) can present with a selective pattern and gradient of intramuscular fatty infiltration (IMFI) on magnetic resonance imaging (MRI). OBJECTIVE: To demonstrate an automated protocol for quantification of IMFI in the lower extremity muscles of i...

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Autores principales: Lawal, Tokunbor A., Patankar, Aneesh, Todd, Joshua J., Razaqyar, Muslima S., Chrismer, Irene C., Zhang, Xuemin, Waite, Melissa R., Jain, Minal S., Emile-Backer, Magalie, Witherspoon, Jessica W., Liu, Chia-Ying, Grunseich, Christopher, Meilleur, Katherine G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385519/
https://www.ncbi.nlm.nih.gov/pubmed/33646171
http://dx.doi.org/10.3233/JND-200549
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author Lawal, Tokunbor A.
Patankar, Aneesh
Todd, Joshua J.
Razaqyar, Muslima S.
Chrismer, Irene C.
Zhang, Xuemin
Waite, Melissa R.
Jain, Minal S.
Emile-Backer, Magalie
Witherspoon, Jessica W.
Liu, Chia-Ying
Grunseich, Christopher
Meilleur, Katherine G.
author_facet Lawal, Tokunbor A.
Patankar, Aneesh
Todd, Joshua J.
Razaqyar, Muslima S.
Chrismer, Irene C.
Zhang, Xuemin
Waite, Melissa R.
Jain, Minal S.
Emile-Backer, Magalie
Witherspoon, Jessica W.
Liu, Chia-Ying
Grunseich, Christopher
Meilleur, Katherine G.
author_sort Lawal, Tokunbor A.
collection PubMed
description BACKGROUND: Ryanodine receptor 1-related myopathy (RYR1-RM) can present with a selective pattern and gradient of intramuscular fatty infiltration (IMFI) on magnetic resonance imaging (MRI). OBJECTIVE: To demonstrate an automated protocol for quantification of IMFI in the lower extremity muscles of individuals with RYR1-RM using T1-weighted MRI and to examine the relationships of IMFI with motor function and clinical severity. METHODS: Axial images of the lower extremity muscles were acquired by T1-weighted fast spin-echo and short tau inversion recovery (STIR) sequences. A modified ImageJ-based program was used for quantification. IMFI data was analyzed by mode of inheritance, motor function, and clinical severity. RESULTS: Upper and lower leg IMFI from 36 genetically confirmed and ambulatory RYR1-RM affected individuals (26 dominant and 10 recessive) were analyzed using Grey-scale quantification. There was no statistically significant difference in IMFI between dominant and recessive cases in upper or lower legs. IMFI in both upper and lower legs was inversely correlated with participant performance on the motor function measure (MFM-32) total score (upper leg: p < 0.001; lower leg: p = 0.003) and the six-minute walk test (6MWT) distance (upper leg: p < 0.001; lower leg: p = 0.010). There was no significant difference in mean IMFI between participants with mild versus severe clinical phenotypes (p = 0.257). CONCLUSION: A modified ImageJ-based algorithm was able to select and quantify fatty infiltration in a cohort of heterogeneously affected individuals with RYR1-RM. IMFI was not predictive of mode of inheritance but showed strong correlation with motor function and capacity tests including MFM-32 and 6MWT, respectively.
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spelling pubmed-83855192021-09-09 Ryanodine Receptor 1-Related Myopathies: Quantification of Intramuscular Fatty Infiltration from T1-Weighted MRI Lawal, Tokunbor A. Patankar, Aneesh Todd, Joshua J. Razaqyar, Muslima S. Chrismer, Irene C. Zhang, Xuemin Waite, Melissa R. Jain, Minal S. Emile-Backer, Magalie Witherspoon, Jessica W. Liu, Chia-Ying Grunseich, Christopher Meilleur, Katherine G. J Neuromuscul Dis Research Report BACKGROUND: Ryanodine receptor 1-related myopathy (RYR1-RM) can present with a selective pattern and gradient of intramuscular fatty infiltration (IMFI) on magnetic resonance imaging (MRI). OBJECTIVE: To demonstrate an automated protocol for quantification of IMFI in the lower extremity muscles of individuals with RYR1-RM using T1-weighted MRI and to examine the relationships of IMFI with motor function and clinical severity. METHODS: Axial images of the lower extremity muscles were acquired by T1-weighted fast spin-echo and short tau inversion recovery (STIR) sequences. A modified ImageJ-based program was used for quantification. IMFI data was analyzed by mode of inheritance, motor function, and clinical severity. RESULTS: Upper and lower leg IMFI from 36 genetically confirmed and ambulatory RYR1-RM affected individuals (26 dominant and 10 recessive) were analyzed using Grey-scale quantification. There was no statistically significant difference in IMFI between dominant and recessive cases in upper or lower legs. IMFI in both upper and lower legs was inversely correlated with participant performance on the motor function measure (MFM-32) total score (upper leg: p < 0.001; lower leg: p = 0.003) and the six-minute walk test (6MWT) distance (upper leg: p < 0.001; lower leg: p = 0.010). There was no significant difference in mean IMFI between participants with mild versus severe clinical phenotypes (p = 0.257). CONCLUSION: A modified ImageJ-based algorithm was able to select and quantify fatty infiltration in a cohort of heterogeneously affected individuals with RYR1-RM. IMFI was not predictive of mode of inheritance but showed strong correlation with motor function and capacity tests including MFM-32 and 6MWT, respectively. IOS Press 2021-07-30 /pmc/articles/PMC8385519/ /pubmed/33646171 http://dx.doi.org/10.3233/JND-200549 Text en © 2021 – The authors. Published by IOS Press https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Report
Lawal, Tokunbor A.
Patankar, Aneesh
Todd, Joshua J.
Razaqyar, Muslima S.
Chrismer, Irene C.
Zhang, Xuemin
Waite, Melissa R.
Jain, Minal S.
Emile-Backer, Magalie
Witherspoon, Jessica W.
Liu, Chia-Ying
Grunseich, Christopher
Meilleur, Katherine G.
Ryanodine Receptor 1-Related Myopathies: Quantification of Intramuscular Fatty Infiltration from T1-Weighted MRI
title Ryanodine Receptor 1-Related Myopathies: Quantification of Intramuscular Fatty Infiltration from T1-Weighted MRI
title_full Ryanodine Receptor 1-Related Myopathies: Quantification of Intramuscular Fatty Infiltration from T1-Weighted MRI
title_fullStr Ryanodine Receptor 1-Related Myopathies: Quantification of Intramuscular Fatty Infiltration from T1-Weighted MRI
title_full_unstemmed Ryanodine Receptor 1-Related Myopathies: Quantification of Intramuscular Fatty Infiltration from T1-Weighted MRI
title_short Ryanodine Receptor 1-Related Myopathies: Quantification of Intramuscular Fatty Infiltration from T1-Weighted MRI
title_sort ryanodine receptor 1-related myopathies: quantification of intramuscular fatty infiltration from t1-weighted mri
topic Research Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385519/
https://www.ncbi.nlm.nih.gov/pubmed/33646171
http://dx.doi.org/10.3233/JND-200549
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