Cargando…
Evaluating brain damage in multiple sclerosis with simultaneous multi‐angular‐relaxometry of tissue
OBJECTIVE: Multiple sclerosis (MS) is a common demyelinating central nervous system disease. MRI methods that can quantify myelin loss are needed for trials of putative remyelinating agents. Quantitative magnetization transfer MRI introduced the macromolecule proton fraction (MPF), which correlates...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539387/ https://www.ncbi.nlm.nih.gov/pubmed/36178006 http://dx.doi.org/10.1002/acn3.51621 |
_version_ | 1784803473961779200 |
---|---|
author | Xiang, Biao Wen, Jie Schmidt, Robert E. Sukstanskii, Alexander L. Mamah, Daniel Yablonskiy, Dmitriy A. Cross, Anne H. |
author_facet | Xiang, Biao Wen, Jie Schmidt, Robert E. Sukstanskii, Alexander L. Mamah, Daniel Yablonskiy, Dmitriy A. Cross, Anne H. |
author_sort | Xiang, Biao |
collection | PubMed |
description | OBJECTIVE: Multiple sclerosis (MS) is a common demyelinating central nervous system disease. MRI methods that can quantify myelin loss are needed for trials of putative remyelinating agents. Quantitative magnetization transfer MRI introduced the macromolecule proton fraction (MPF), which correlates with myelin concentration. We developed an alternative approach, Simultaneous‐Multi‐Angular‐Relaxometry‐of‐Tissue (SMART) MRI, to generate MPF. Our objective was to test SMART‐derived MPF metric as a potential imaging biomarker of demyelination. METHODS: Twenty healthy control (HC), 11 relapsing–remitting MS (RRMS), 22 progressive MS (PMS), and one subject with a biopsied tumefactive demyelinating lesion were scanned at 3T using SMART MRI. SMART‐derived MPF metric was determined in normal‐appearing cortical gray matter (NAGM), normal‐appearing subcortical white matter (NAWM), and demyelinating lesions. MPF metric was evaluated for correlations with physical and cognitive test scores. Comparisons were made between HC and MS and between MS subtypes. Furthermore, correlations were determined between MPF and neuropathology in the biopsied person. RESULTS: SMART‐derived MPF in NAGM and NAWM were lower in MS than HC (p < 0.001). MPF in NAGM, NAWM and lesions differentiated RRMS from PMS (p < 0.01, p < 0.001, p < 0.001, respectively), whereas lesion volumes did not. MPF in NAGM, NAWM and lesions correlated with the Expanded Disability Status Scale (p < 0.01, p < 0.001, p < 0.001, respectively) and nine‐hole peg test (p < 0.001, p < 0.001, p < 0.01, respectively). MPF was lower in the histopathologically confirmed inflammatory demyelinating lesion than the contralateral NAWM and increased in the biopsied lesion over time, mirroring improved clinical performance. INTERPRETATION: SMART‐derived MPF metric holds potential as a quantitative imaging biomarker of demyelination and remyelination. |
format | Online Article Text |
id | pubmed-9539387 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95393872022-10-14 Evaluating brain damage in multiple sclerosis with simultaneous multi‐angular‐relaxometry of tissue Xiang, Biao Wen, Jie Schmidt, Robert E. Sukstanskii, Alexander L. Mamah, Daniel Yablonskiy, Dmitriy A. Cross, Anne H. Ann Clin Transl Neurol Research Articles OBJECTIVE: Multiple sclerosis (MS) is a common demyelinating central nervous system disease. MRI methods that can quantify myelin loss are needed for trials of putative remyelinating agents. Quantitative magnetization transfer MRI introduced the macromolecule proton fraction (MPF), which correlates with myelin concentration. We developed an alternative approach, Simultaneous‐Multi‐Angular‐Relaxometry‐of‐Tissue (SMART) MRI, to generate MPF. Our objective was to test SMART‐derived MPF metric as a potential imaging biomarker of demyelination. METHODS: Twenty healthy control (HC), 11 relapsing–remitting MS (RRMS), 22 progressive MS (PMS), and one subject with a biopsied tumefactive demyelinating lesion were scanned at 3T using SMART MRI. SMART‐derived MPF metric was determined in normal‐appearing cortical gray matter (NAGM), normal‐appearing subcortical white matter (NAWM), and demyelinating lesions. MPF metric was evaluated for correlations with physical and cognitive test scores. Comparisons were made between HC and MS and between MS subtypes. Furthermore, correlations were determined between MPF and neuropathology in the biopsied person. RESULTS: SMART‐derived MPF in NAGM and NAWM were lower in MS than HC (p < 0.001). MPF in NAGM, NAWM and lesions differentiated RRMS from PMS (p < 0.01, p < 0.001, p < 0.001, respectively), whereas lesion volumes did not. MPF in NAGM, NAWM and lesions correlated with the Expanded Disability Status Scale (p < 0.01, p < 0.001, p < 0.001, respectively) and nine‐hole peg test (p < 0.001, p < 0.001, p < 0.01, respectively). MPF was lower in the histopathologically confirmed inflammatory demyelinating lesion than the contralateral NAWM and increased in the biopsied lesion over time, mirroring improved clinical performance. INTERPRETATION: SMART‐derived MPF metric holds potential as a quantitative imaging biomarker of demyelination and remyelination. John Wiley and Sons Inc. 2022-09-30 /pmc/articles/PMC9539387/ /pubmed/36178006 http://dx.doi.org/10.1002/acn3.51621 Text en © 2022 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Xiang, Biao Wen, Jie Schmidt, Robert E. Sukstanskii, Alexander L. Mamah, Daniel Yablonskiy, Dmitriy A. Cross, Anne H. Evaluating brain damage in multiple sclerosis with simultaneous multi‐angular‐relaxometry of tissue |
title | Evaluating brain damage in multiple sclerosis with simultaneous multi‐angular‐relaxometry of tissue |
title_full | Evaluating brain damage in multiple sclerosis with simultaneous multi‐angular‐relaxometry of tissue |
title_fullStr | Evaluating brain damage in multiple sclerosis with simultaneous multi‐angular‐relaxometry of tissue |
title_full_unstemmed | Evaluating brain damage in multiple sclerosis with simultaneous multi‐angular‐relaxometry of tissue |
title_short | Evaluating brain damage in multiple sclerosis with simultaneous multi‐angular‐relaxometry of tissue |
title_sort | evaluating brain damage in multiple sclerosis with simultaneous multi‐angular‐relaxometry of tissue |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539387/ https://www.ncbi.nlm.nih.gov/pubmed/36178006 http://dx.doi.org/10.1002/acn3.51621 |
work_keys_str_mv | AT xiangbiao evaluatingbraindamageinmultiplesclerosiswithsimultaneousmultiangularrelaxometryoftissue AT wenjie evaluatingbraindamageinmultiplesclerosiswithsimultaneousmultiangularrelaxometryoftissue AT schmidtroberte evaluatingbraindamageinmultiplesclerosiswithsimultaneousmultiangularrelaxometryoftissue AT sukstanskiialexanderl evaluatingbraindamageinmultiplesclerosiswithsimultaneousmultiangularrelaxometryoftissue AT mamahdaniel evaluatingbraindamageinmultiplesclerosiswithsimultaneousmultiangularrelaxometryoftissue AT yablonskiydmitriya evaluatingbraindamageinmultiplesclerosiswithsimultaneousmultiangularrelaxometryoftissue AT crossanneh evaluatingbraindamageinmultiplesclerosiswithsimultaneousmultiangularrelaxometryoftissue |