Predicting Clinical Progression in Multiple Sclerosis With the Magnetic Resonance Disease Severity Scale

被引:41
|
作者
Bakshi, Rohit [1 ,2 ]
Neema, Mohit [1 ]
Healy, Brian C. [1 ,3 ]
Liptak, Zsuzsanna [2 ]
Betensky, Rebecca A. [4 ]
Buckle, Guy J. [1 ]
Gauthier, Susan A. [1 ]
Stankiewicz, James [1 ]
Meier, Dominik [2 ]
Egorova, Svetlana [2 ]
Arora, Ashish [1 ]
Guss, Zachary D. [1 ]
Glanz, Bonnie [1 ]
Khoury, Samia J. [1 ]
Guttmann, Charles R. G. [1 ,2 ]
Weiner, Howard L. [1 ]
机构
[1] Harvard Univ, Sch Med, Partners MS Ctr, Brigham & Womens Hosp,Dept Neurol, Boston, MA 02115 USA
[2] Harvard Univ, Sch Med, Partners MS Ctr, Brigham & Womens Hosp,Dept Radiol, Boston, MA 02115 USA
[3] Massachusetts Gen Hosp, Dept Neurol, Boston, MA 02114 USA
[4] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
关键词
D O I
10.1001/archneur.65.11.1449
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Individual magnetic resonance imaging (MRI) disease severity measures, such as atrophy or lesions, show weak relationships to clinical status in patients with multiple sclerosis (MS). Objective: To combine MS-MRI measures of disease severity into a composite score. Design: Retrospective analysis of prospectively collected data. Setting: Community-based and referral subspecialty clinic in an academic hospital. Patients: A total of 103 patients with MS, with a mean (SD) Expanded Disability Status Scale (EDSS) score of 3.3 (2.2), of whom 62 (60.2%) had the relapsing-remitting, 33 (32.0%) the secondary progressive, and 8 (7.8%) the primary progressive form. Main Outcome Measures: Brain MRI measures included baseline T2 hyperintense (T2LV) and T1 hypointense (T1LV) lesion volume and brain parenchymal fraction (BPF), a marker of global atrophy. The ratio of T1LV to T2LV (T1: T2) assessed lesion severity. A Magnetic Resonance Disease Severity Scale (MRDSS) score, on a continuous scale from 0 to 10, was derived for each patient using T2LV, BPF, and T1: T2. Results: The MRDSS score averaged 5.1 (SD, 2.6). Baseline MRI and EDSS correlations were moderate for BPF, T1: T2, and MRDSS and weak for T2LV. The MRDSS showed a larger effect size than the individual MRI components in distinguishing patients with the relapsing-remitting form from those with the secondary progressive form. Models containing either T2LV or MRDSS were significantly associated with disability progression during the mean (SD) 3.2 (0.3)-year observation period, when adjusting for baseline EDSS score. Conclusion: Combining brain MRI lesion and atrophy measures can predict MS clinical progression and provides the basis for developing an MRI-based continuous scale as a marker of MS disease severity.
引用
收藏
页码:1449 / 1453
页数:5
相关论文
共 50 条
  • [31] Magnetic resonance imaging as a surrogate for clinical endpoints in multiple sclerosis
    Wolinksy, J. S.
    Wang, L.
    Truffinet, P.
    Narayana, P. A.
    Nelson, F.
    O'Connor, P.
    MULTIPLE SCLEROSIS JOURNAL, 2012, 18 : 470 - 471
  • [32] Clinical-magnetic resonance imaging correlations in multiple sclerosis
    Zivadinov, R
    Leist, TP
    JOURNAL OF NEUROIMAGING, 2005, 15 (04) : 10S - 21S
  • [33] Clinical, neurophysiological, and magnetic resonance imaging correlations in multiple sclerosis
    Comi, G
    Filippi, M
    Rovaris, M
    Leocani, L
    Medaglini, S
    Locatelli, T
    JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 1998, 64 : S21 - S25
  • [34] Serum Biomarkers of Clinical and Radiographic Disease Progression in Multiple Sclerosis
    Qureshi, Ferhan
    Oechtering, Johanna
    Keshavan, Anisha
    McCurdy, Shannon
    Maceski, Aleksandra Maleska
    Willemse, Eline
    Meier, Stephanie
    Ghoreyshi, Ati
    Jalaleddini, Kian
    Leyden, Kelly
    Leppert, David
    Melie-Garcia, Lester
    Granziera, Cristina
    Schadelin, Sabine
    Benkert, Pascal
    Kuhle, Jens
    MULTIPLE SCLEROSIS JOURNAL, 2023, 29 : 302 - 303
  • [35] Familial Multiple Sclerosis: Unveiling Disease Progression and Clinical Correlates
    Simsek, Yasemin
    Alizada, Said
    Caliskan, Can
    Ozakbas, Serkan
    MULTIPLE SCLEROSIS JOURNAL, 2024, 30 (03) : 1248 - 1248
  • [36] Clinical Utility of an Increase in Magnetic Resonance Elastography in Predicting Fibrosis Progression in Nonalcoholic Fatty Liver Disease
    Ajmera, Veeral H.
    Liu, Amy
    Singh, Seema
    Yachoa, Georg
    Ramey, Matthew
    Bhargava, Meera
    Zamani, Ava
    Lopez, Scarlett
    Mangla, Neeraj
    Bettencourt, Ricki
    Rizo, Emily
    Valasek, Mark
    Behling, Cynthia
    Richards, Lisa
    Sirlin, Claude
    Loomba, Rohit
    HEPATOLOGY, 2020, 71 (03) : 849 - 860
  • [37] Markers of disease activity in multiple sclerosis: magnetic resonance imaging
    Paty, DW
    EUROPEAN JOURNAL OF NEUROLOGY, 1998, 5 : S15 - S16
  • [38] Predicting disease severity in multiple sclerosis using multimodal data and machine learning
    Magi Andorra
    Ana Freire
    Irati Zubizarreta
    Nicole Kerlero de Rosbo
    Steffan D. Bos
    Melanie Rinas
    Einar A. Høgestøl
    Sigrid A. de Rodez Benavent
    Tone Berge
    Synne Brune-Ingebretse
    Federico Ivaldi
    Maria Cellerino
    Matteo Pardini
    Gemma Vila
    Irene Pulido-Valdeolivas
    Elena H. Martinez-Lapiscina
    Sara Llufriu
    Albert Saiz
    Yolanda Blanco
    Eloy Martinez-Heras
    Elisabeth Solana
    Priscilla Bäcker-Koduah
    Janina Behrens
    Joseph Kuchling
    Susanna Asseyer
    Michael Scheel
    Claudia Chien
    Hanna Zimmermann
    Seyedamirhosein Motamedi
    Josef Kauer-Bonin
    Alex Brandt
    Julio Saez-Rodriguez
    Leonidas G. Alexopoulos
    Friedemann Paul
    Hanne F. Harbo
    Hengameh Shams
    Jorge Oksenberg
    Antonio Uccelli
    Ricardo Baeza-Yates
    Pablo Villoslada
    Journal of Neurology, 2024, 271 : 1133 - 1149
  • [39] Predicting disease severity in multiple sclerosis using multimodal data and machine learning
    Andorra, Magi
    Freire, Ana
    Zubizarreta, Irati
    de Rosbo, Nicole Kerlero
    Bos, Steffan D.
    Rinas, Melanie
    Hogestol, Einar A.
    Benavent, Sigrid A. de Rodez
    Berge, Tone
    Brune-Ingebretse, Synne
    Ivaldi, Federico
    Cellerino, Maria
    Pardini, Matteo
    Vila, Gemma
    Pulido-Valdeolivas, Irene
    Martinez-Lapiscina, Elena H.
    Llufriu, Sara
    Saiz, Albert
    Blanco, Yolanda
    Martinez-Heras, Eloy
    Solana, Elisabeth
    Baecker-Koduah, Priscilla
    Behrens, Janina
    Kuchling, Joseph
    Asseyer, Susanna
    Scheel, Michael
    Chien, Claudia
    Zimmermann, Hanna
    Motamedi, Seyedamirhosein
    Kauer-Bonin, Josef
    Brandt, Alex
    Saez-Rodriguez, Julio
    Alexopoulos, Leonidas G.
    Paul, Friedemann
    Harbo, Hanne F.
    Shams, Hengameh
    Oksenberg, Jorge
    Uccelli, Antonio
    Baeza-Yates, Ricardo
    Villoslada, Pablo
    JOURNAL OF NEUROLOGY, 2024, 271 (03) : 1133 - 1149
  • [40] Predicting clinical progression in multiple sclerosis six and twelve years after onset
    Dekker, I.
    Eijlers, A. J. C.
    Popescu, V.
    Balk, L. J.
    Vrenken, H.
    Wattjes, M. P.
    Uitdehaag, B. M. J.
    Killestein, J.
    Geurts, J. J. G.
    Barkhof, F.
    Schoonheim, M. M.
    MULTIPLE SCLEROSIS JOURNAL, 2017, 23 : 229 - 230