Correlations between monthly enhanced MRI Lesion rate and changes in T2 Lesion volume in multiple sclerosis
Magnetic resonance imaging (MRI) provides a powerful tool for assessing disease activity in multiple sclerosis (MS), and its role as a surrogate marker for monitoring treatment efficacy is now becoming established. The most commonly used MRI parameters in treatment trials are (1) monthly gadolinium‐...
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Veröffentlicht in: | Annals of neurology 1998-03, Vol.43 (3), p.332-339 |
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creator | Molyneux, P. D. Filippi, M. Barkhof, F. Gasperini, C. Yousry, T. Lruyen, L. Lai, H. M. Rocca, M. A. Moseley, I. F. Miller, D. H. |
description | Magnetic resonance imaging (MRI) provides a powerful tool for assessing disease activity in multiple sclerosis (MS), and its role as a surrogate marker for monitoring treatment efficacy is now becoming established. The most commonly used MRI parameters in treatment trials are (1) monthly gadolinium‐enhanced MRI, with the number of active lesions serving as the outcome measure, and (2) annual lesion load quantification, in which change in MS lesion volume provides the MRI endpoint. We evaluated clinical/MRI correlations and the relationship between these two markers of disease activity in 73 patients with clinically definite MS. Quantification of T2 lesion load was performed at study entry and exit, with a median study duration of 11 months (range, 9 to 14 months). Monthly postgadolinium T1‐weighted images were acquired between these time points. Lesion load at study entry was significantly correlated with the baseline Expanded Disability Status Scale (EDSS) score, but no significant longitudinal correlation was demonstrated. The number of enhancing lesions on the entry scan was predictive of subsequent relapse rate over the study duration and also correlated with the subsequent enhancing lesion activity over the study period. A significant correlation was found between change in lesion load and disease activity on the monthly scans. Our results suggest that annual lesion load quantification provides an efficient measure of ongoing disease activity, and this supports its application as a surrogate marker of disease evolution in phase III treatment trials. |
doi_str_mv | 10.1002/ana.410430311 |
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D. ; Filippi, M. ; Barkhof, F. ; Gasperini, C. ; Yousry, T. ; Lruyen, L. ; Lai, H. M. ; Rocca, M. A. ; Moseley, I. F. ; Miller, D. H.</creator><creatorcontrib>Molyneux, P. D. ; Filippi, M. ; Barkhof, F. ; Gasperini, C. ; Yousry, T. ; Lruyen, L. ; Lai, H. M. ; Rocca, M. A. ; Moseley, I. F. ; Miller, D. H.</creatorcontrib><description>Magnetic resonance imaging (MRI) provides a powerful tool for assessing disease activity in multiple sclerosis (MS), and its role as a surrogate marker for monitoring treatment efficacy is now becoming established. The most commonly used MRI parameters in treatment trials are (1) monthly gadolinium‐enhanced MRI, with the number of active lesions serving as the outcome measure, and (2) annual lesion load quantification, in which change in MS lesion volume provides the MRI endpoint. We evaluated clinical/MRI correlations and the relationship between these two markers of disease activity in 73 patients with clinically definite MS. Quantification of T2 lesion load was performed at study entry and exit, with a median study duration of 11 months (range, 9 to 14 months). Monthly postgadolinium T1‐weighted images were acquired between these time points. Lesion load at study entry was significantly correlated with the baseline Expanded Disability Status Scale (EDSS) score, but no significant longitudinal correlation was demonstrated. The number of enhancing lesions on the entry scan was predictive of subsequent relapse rate over the study duration and also correlated with the subsequent enhancing lesion activity over the study period. A significant correlation was found between change in lesion load and disease activity on the monthly scans. Our results suggest that annual lesion load quantification provides an efficient measure of ongoing disease activity, and this supports its application as a surrogate marker of disease evolution in phase III treatment trials.</description><identifier>ISSN: 0364-5134</identifier><identifier>EISSN: 1531-8249</identifier><identifier>DOI: 10.1002/ana.410430311</identifier><identifier>PMID: 9506550</identifier><identifier>CODEN: ANNED3</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Adolescent ; Adult ; Biological and medical sciences ; Brain - pathology ; Cohort Studies ; Disability Evaluation ; Female ; Gadolinium ; Humans ; Magnetic Resonance Imaging ; Male ; Medical sciences ; Middle Aged ; Multiple Sclerosis - diagnosis ; Multiple Sclerosis - physiopathology ; Nervous system involvement in other diseases. Miscellaneous ; Neurology ; Recurrence ; Time Factors</subject><ispartof>Annals of neurology, 1998-03, Vol.43 (3), p.332-339</ispartof><rights>Copyright © 1998 American Neurological Association</rights><rights>1998 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4031-b04aee5ee9457ca8728b93e553a08582fac9b9c20b4dd4177fdd0f7cb55f33603</citedby><cites>FETCH-LOGICAL-c4031-b04aee5ee9457ca8728b93e553a08582fac9b9c20b4dd4177fdd0f7cb55f33603</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fana.410430311$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fana.410430311$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27929,27930,45579,45580</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2203246$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9506550$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Molyneux, P. D.</creatorcontrib><creatorcontrib>Filippi, M.</creatorcontrib><creatorcontrib>Barkhof, F.</creatorcontrib><creatorcontrib>Gasperini, C.</creatorcontrib><creatorcontrib>Yousry, T.</creatorcontrib><creatorcontrib>Lruyen, L.</creatorcontrib><creatorcontrib>Lai, H. M.</creatorcontrib><creatorcontrib>Rocca, M. A.</creatorcontrib><creatorcontrib>Moseley, I. F.</creatorcontrib><creatorcontrib>Miller, D. H.</creatorcontrib><title>Correlations between monthly enhanced MRI Lesion rate and changes in T2 Lesion volume in multiple sclerosis</title><title>Annals of neurology</title><addtitle>Ann Neurol</addtitle><description>Magnetic resonance imaging (MRI) provides a powerful tool for assessing disease activity in multiple sclerosis (MS), and its role as a surrogate marker for monitoring treatment efficacy is now becoming established. The most commonly used MRI parameters in treatment trials are (1) monthly gadolinium‐enhanced MRI, with the number of active lesions serving as the outcome measure, and (2) annual lesion load quantification, in which change in MS lesion volume provides the MRI endpoint. We evaluated clinical/MRI correlations and the relationship between these two markers of disease activity in 73 patients with clinically definite MS. Quantification of T2 lesion load was performed at study entry and exit, with a median study duration of 11 months (range, 9 to 14 months). Monthly postgadolinium T1‐weighted images were acquired between these time points. Lesion load at study entry was significantly correlated with the baseline Expanded Disability Status Scale (EDSS) score, but no significant longitudinal correlation was demonstrated. The number of enhancing lesions on the entry scan was predictive of subsequent relapse rate over the study duration and also correlated with the subsequent enhancing lesion activity over the study period. A significant correlation was found between change in lesion load and disease activity on the monthly scans. Our results suggest that annual lesion load quantification provides an efficient measure of ongoing disease activity, and this supports its application as a surrogate marker of disease evolution in phase III treatment trials.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Biological and medical sciences</subject><subject>Brain - pathology</subject><subject>Cohort Studies</subject><subject>Disability Evaluation</subject><subject>Female</subject><subject>Gadolinium</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Multiple Sclerosis - diagnosis</subject><subject>Multiple Sclerosis - physiopathology</subject><subject>Nervous system involvement in other diseases. Miscellaneous</subject><subject>Neurology</subject><subject>Recurrence</subject><subject>Time Factors</subject><issn>0364-5134</issn><issn>1531-8249</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1v1DAURS0EKtPCkiWSF4hdyvNXnCxHEbRFQ5GqIlA3luO8UFMnmdoJZf49KRNGrFhZ8j1-vu8Q8orBKQPg72xvTyUDKUAw9oSsmBIsK7gsn5IViFxmign5nByn9AMAypzBETkqFeRKwYrcVUOMGOzohz7RGscHxJ52Qz_ehh3F_tb2Dhv66eqCbjDNEI12RGr7hro5-46J-p5e87_pzyFMHT7edVMY_TYgTS5gHJJPL8iz1oaEL5fzhHz58P66Os82n88uqvUmc3LeIatBWkSFWEqlnS00L-pSoFLCQqEK3lpX1qXjUMumkUzrtmmg1a5WqhUiB3FC3u7nbuNwP2EaTeeTwxBsj8OUjC61YPoPmO1BN_dLEVuzjb6zcWcYmEe5ZpZrDnJn_vUyeKo7bA70YnPO3yy5Tc6GNs7yfDpgnIPgMp8xvccefMDd__8068v1vwWWwj6N-Ovw0sY7k2uhlfl6eWY2Nx8r_q26MVfiNxCroZ4</recordid><startdate>199803</startdate><enddate>199803</enddate><creator>Molyneux, P. D.</creator><creator>Filippi, M.</creator><creator>Barkhof, F.</creator><creator>Gasperini, C.</creator><creator>Yousry, T.</creator><creator>Lruyen, L.</creator><creator>Lai, H. M.</creator><creator>Rocca, M. A.</creator><creator>Moseley, I. F.</creator><creator>Miller, D. H.</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Willey-Liss</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>199803</creationdate><title>Correlations between monthly enhanced MRI Lesion rate and changes in T2 Lesion volume in multiple sclerosis</title><author>Molyneux, P. D. ; Filippi, M. ; Barkhof, F. ; Gasperini, C. ; Yousry, T. ; Lruyen, L. ; Lai, H. M. ; Rocca, M. A. ; Moseley, I. F. ; Miller, D. 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D.</au><au>Filippi, M.</au><au>Barkhof, F.</au><au>Gasperini, C.</au><au>Yousry, T.</au><au>Lruyen, L.</au><au>Lai, H. M.</au><au>Rocca, M. A.</au><au>Moseley, I. F.</au><au>Miller, D. H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlations between monthly enhanced MRI Lesion rate and changes in T2 Lesion volume in multiple sclerosis</atitle><jtitle>Annals of neurology</jtitle><addtitle>Ann Neurol</addtitle><date>1998-03</date><risdate>1998</risdate><volume>43</volume><issue>3</issue><spage>332</spage><epage>339</epage><pages>332-339</pages><issn>0364-5134</issn><eissn>1531-8249</eissn><coden>ANNED3</coden><abstract>Magnetic resonance imaging (MRI) provides a powerful tool for assessing disease activity in multiple sclerosis (MS), and its role as a surrogate marker for monitoring treatment efficacy is now becoming established. The most commonly used MRI parameters in treatment trials are (1) monthly gadolinium‐enhanced MRI, with the number of active lesions serving as the outcome measure, and (2) annual lesion load quantification, in which change in MS lesion volume provides the MRI endpoint. We evaluated clinical/MRI correlations and the relationship between these two markers of disease activity in 73 patients with clinically definite MS. Quantification of T2 lesion load was performed at study entry and exit, with a median study duration of 11 months (range, 9 to 14 months). Monthly postgadolinium T1‐weighted images were acquired between these time points. Lesion load at study entry was significantly correlated with the baseline Expanded Disability Status Scale (EDSS) score, but no significant longitudinal correlation was demonstrated. The number of enhancing lesions on the entry scan was predictive of subsequent relapse rate over the study duration and also correlated with the subsequent enhancing lesion activity over the study period. A significant correlation was found between change in lesion load and disease activity on the monthly scans. Our results suggest that annual lesion load quantification provides an efficient measure of ongoing disease activity, and this supports its application as a surrogate marker of disease evolution in phase III treatment trials.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>9506550</pmid><doi>10.1002/ana.410430311</doi><tpages>8</tpages></addata></record> |
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subjects | Adolescent Adult Biological and medical sciences Brain - pathology Cohort Studies Disability Evaluation Female Gadolinium Humans Magnetic Resonance Imaging Male Medical sciences Middle Aged Multiple Sclerosis - diagnosis Multiple Sclerosis - physiopathology Nervous system involvement in other diseases. Miscellaneous Neurology Recurrence Time Factors |
title | Correlations between monthly enhanced MRI Lesion rate and changes in T2 Lesion volume in multiple sclerosis |
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