Piriyankan Ananthavarathan, Nitin Sahi, Karen Chung, Lukas Haider, Ferran Prados, S Anand Trip, Olga Ciccarelli, Frederik Barkhof, Carmen Tur, Declan T Chard
{"title":"磁共振成像测量对预测继发性进展型多发性硬化症的贡献不断发展。","authors":"Piriyankan Ananthavarathan, Nitin Sahi, Karen Chung, Lukas Haider, Ferran Prados, S Anand Trip, Olga Ciccarelli, Frederik Barkhof, Carmen Tur, Declan T Chard","doi":"10.1136/jnnp-2024-333917","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In multiple sclerosis (MS), both lesion accrual and brain atrophy predict clinical outcomes. However, it is unclear whether these prognostic features are equally relevant throughout the course of MS. Among 103 participants recruited following a clinically isolated syndrome (CIS) and followed up over 30 years, we explored (1) whether white matter lesions were prognostically more relevant earlier and brain atrophy later in the disease course towards development of secondary progressive (SP) disease; (2) if so, when the balance in prognostic contribution shifts and (3) whether optimised prognostic models predicting SP disease should include different features dependent on disease duration.</p><p><strong>Methods: </strong>Binary logistic regression models were built using age, gender, brain lesion counts and locations, and linear atrophy measures (third ventricular width and medullary width) at each time point up to 20 years, using either single time point data alone or adjusted for baseline measures.</p><p><strong>Results: </strong>By 30 years, 27 participants remained CIS while 60 had MS (26 SPMS and 16 MS-related death). Lesions counts were prognostically significant from baseline and at all later time points while linear atrophy measure models reached significance from 5 years. When adjusted for baseline, in combined MRI models including lesion count and linear atrophy measures, only lesion counts were significant predictors. In combined models including relapse measures, Expanded Disability Status Scale scores and MRI measures, only infratentorial lesions were significant predictors throughout.</p><p><strong>Conclusions: </strong>While SPMS progression is associated with brain atrophy, in predictive models only infratentorial lesions were consistently prognostically significant.</p>","PeriodicalId":16418,"journal":{"name":"Journal of Neurology, Neurosurgery, and Psychiatry","volume":null,"pages":null},"PeriodicalIF":8.7000,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7616528/pdf/","citationCount":"0","resultStr":"{\"title\":\"The evolving contribution of MRI measures towards the prediction of secondary progressive multiple sclerosis.\",\"authors\":\"Piriyankan Ananthavarathan, Nitin Sahi, Karen Chung, Lukas Haider, Ferran Prados, S Anand Trip, Olga Ciccarelli, Frederik Barkhof, Carmen Tur, Declan T Chard\",\"doi\":\"10.1136/jnnp-2024-333917\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>In multiple sclerosis (MS), both lesion accrual and brain atrophy predict clinical outcomes. However, it is unclear whether these prognostic features are equally relevant throughout the course of MS. Among 103 participants recruited following a clinically isolated syndrome (CIS) and followed up over 30 years, we explored (1) whether white matter lesions were prognostically more relevant earlier and brain atrophy later in the disease course towards development of secondary progressive (SP) disease; (2) if so, when the balance in prognostic contribution shifts and (3) whether optimised prognostic models predicting SP disease should include different features dependent on disease duration.</p><p><strong>Methods: </strong>Binary logistic regression models were built using age, gender, brain lesion counts and locations, and linear atrophy measures (third ventricular width and medullary width) at each time point up to 20 years, using either single time point data alone or adjusted for baseline measures.</p><p><strong>Results: </strong>By 30 years, 27 participants remained CIS while 60 had MS (26 SPMS and 16 MS-related death). Lesions counts were prognostically significant from baseline and at all later time points while linear atrophy measure models reached significance from 5 years. When adjusted for baseline, in combined MRI models including lesion count and linear atrophy measures, only lesion counts were significant predictors. In combined models including relapse measures, Expanded Disability Status Scale scores and MRI measures, only infratentorial lesions were significant predictors throughout.</p><p><strong>Conclusions: </strong>While SPMS progression is associated with brain atrophy, in predictive models only infratentorial lesions were consistently prognostically significant.</p>\",\"PeriodicalId\":16418,\"journal\":{\"name\":\"Journal of Neurology, Neurosurgery, and Psychiatry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":8.7000,\"publicationDate\":\"2024-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7616528/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Neurology, Neurosurgery, and Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/jnnp-2024-333917\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neurology, Neurosurgery, and Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/jnnp-2024-333917","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
The evolving contribution of MRI measures towards the prediction of secondary progressive multiple sclerosis.
Background: In multiple sclerosis (MS), both lesion accrual and brain atrophy predict clinical outcomes. However, it is unclear whether these prognostic features are equally relevant throughout the course of MS. Among 103 participants recruited following a clinically isolated syndrome (CIS) and followed up over 30 years, we explored (1) whether white matter lesions were prognostically more relevant earlier and brain atrophy later in the disease course towards development of secondary progressive (SP) disease; (2) if so, when the balance in prognostic contribution shifts and (3) whether optimised prognostic models predicting SP disease should include different features dependent on disease duration.
Methods: Binary logistic regression models were built using age, gender, brain lesion counts and locations, and linear atrophy measures (third ventricular width and medullary width) at each time point up to 20 years, using either single time point data alone or adjusted for baseline measures.
Results: By 30 years, 27 participants remained CIS while 60 had MS (26 SPMS and 16 MS-related death). Lesions counts were prognostically significant from baseline and at all later time points while linear atrophy measure models reached significance from 5 years. When adjusted for baseline, in combined MRI models including lesion count and linear atrophy measures, only lesion counts were significant predictors. In combined models including relapse measures, Expanded Disability Status Scale scores and MRI measures, only infratentorial lesions were significant predictors throughout.
Conclusions: While SPMS progression is associated with brain atrophy, in predictive models only infratentorial lesions were consistently prognostically significant.
期刊介绍:
The Journal of Neurology, Neurosurgery & Psychiatry (JNNP) aspires to publish groundbreaking and cutting-edge research worldwide. Covering the entire spectrum of neurological sciences, the journal focuses on common disorders like stroke, multiple sclerosis, Parkinson’s disease, epilepsy, peripheral neuropathy, subarachnoid haemorrhage, and neuropsychiatry, while also addressing complex challenges such as ALS. With early online publication, regular podcasts, and an extensive archive collection boasting the longest half-life in clinical neuroscience journals, JNNP aims to be a trailblazer in the field.