ISMRM 23rd Annual Meeting & Exhibition • 30 May - 05 June 2015 • Toronto, Ontario, Canada

Scientific Session • Multiple Sclerosis 2

Thursday 4 June 2015

John Bassett Theatre 102

13:30 - 15:30


T.B.A., T.B.A.

13:30 0902.   Prediction of disease course in multiple sclerosis using cortical thinning measurements at baseline
Sushmita Datta1, Koushik A Govindarajan1, Stacey S. Cofield2, Gary R. Cutter2, Fred D. Lublin3, Jerry S. Wolinsky4, and Ponnada A. Narayana1
1Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center at Houston, Houston, Texas, United States,2Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, United States, 3The Corinne Goldsmith Dickinson Center for Multiple Sclerosis, Mount Sinai School of Medicine, New York, New York, New York, United States, 4Department of Neurology, The University of Texas Health Science Center at Houston, Houston, Texas, United States

Multiple sclerosis (MS) is a heterogeneous disease with variable disease course. This poses a challenge in identifying predictors of the disease course in individual patients. Cortical thinning is one of the measures that may have predictive value. We have estimated cortical thickness using high resolution magnetic resonance imaging (MRI) in a large cohort of 596 RRMS patients. These studies indicate that significant cortical thinning of inferior parietal gyrus, temporal pole, and supramarginal gyrus in the right hemisphere at baseline that persists at six months can predict disease status at 36 months.

13:42 0903.   Iron and Non-iron Related Pathological Features of Multiple Sclerosis Lesions using Multiparametric 7T MRI
Sanjeev Chawla1, Ilya Kister2, Jens Wuerfel3, E Mark Haacke4, Tim Sinnecker3, Jean Christophe Brisset1, Friedemann Paul3, and Yulin Ge1
1Radiology, New York University Langone Medical Center, New York, NY, United States, 2Neurology, New York University Langone Medical Center, New York, NY, United States, 3Radiology, Universitätsmedizin Göttingen, Berlin, Germany, 4Radiology, Wayne State University, Detroit, Michigan, United States

To characterize multiple sclerosis (MS) lesions based on iron and non-iron related pathological features, twenty-one patients underwent GRE-T2* and high-resolution quantitative susceptibility mapping (QSM) imaging on 7T MR system. Three morphologically distinct lesion patterns were observed. Majority of the lesions (75.0%), were hyperintense on T2* images and inconspicuous on QSM (Pattern A), few lesions (9.56%) showed hyperintensity on both T2* and QSM (Pattern B). However, some lesions (15.5%) demonstrated hypointensity on T2*/SWI images and hyperintensity on QSM (Pattern C) indicating that that these lesions encompass predominant iron content. Ultra-high field MRI may provide insights into the pathogenesis of MS lesions.

13:54 0904.   Impact of intra- and juxta-cortical pathology on cognitive impairment in multiple sclerosis by quantitative T2* mapping at 7 T MRI
Céline Louapre1, Sindhuja T Govindarajan1, Costanza Gianně1, Nancy Madigan2, AS Nielsen3, RP Kinkel4, and Caterina Mainero1
1AA. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 2Beth Israel Deaconess Medical Center, Boston, MA, United States, 3Virginia Mason Medical Center, Seattle, WA, United States, 4University of California San Diego, San Diego, CA, United States

This study aims at determining the relation between nueropsychological performance in patients with multiple sclerosis and cortical tissue damage at different depths through the cortical width up to the juxta-cortical white matter, across the whole brain. Therefore, we use a quantitative, surface-based analysis of T2* relaxation rates from ultra high resolution 7 Tesla MRI.

14:06 0905.   Can Myelin Water Imaging Differentiate Vasogenic Edema and Demyelinating Lesions in the Human Brain?
Eung Yeop Kim1, Joon Yul Choi2, Yoonho Nam2, Se-Hong Oh3, and Jongho Lee2
1Department of Radiology, Gachon University Gil Medical Center, Incheon, Incheon, Korea, 2Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, 3Imaging Institute, Cleveland Clinic Foundation, Cleveland, Ohio, United States

The signal characteristics of myelin water in vasogenic edema is investigated and the results were compared with those of demyelination lesions.

14:18 0906.   USPIO Contrast Enhanced MRI Study Monitoring Inflammatory Lesions in Brain of the Relapsing-Remitting Model of EAE in SJL/J mice
Matthew Fronheiser1, Jenny Xie1, Elizabeth Heimrich1, Adrienne Pena1, Thomas Petrone1, Daniel Kukral1, Vojkan Susulic1, Harold Malone1, Patrick Chow1, Shuyan Du1, Feng Lu1, Wendy Hayes1, and Haiying Tang1
1Bristol Myers Squibb, Princeton, New Jersey, United States

In this work, ultrasmall superparamagnetic iron oxide (USPIO) nanoparticle enhanced MRI techniques were used to assess brain inflammatory lesions in a mouse model of Relapsing-Remitting multiple sclerosis (MS). Three groups (No disease, Disease No Treatment, Disease Treatment) were studied at four time points to monitor the relapsing and remitting phases of the disease. Pixel-wise R2 and Change in R2 (ΔR2) maps were generated to evaluate regions of increased USPIO uptake in the brain. Our results showed that USPIO enhanced MRI can be used to assess changes in the inflammatory lesion to examine treatment effect in a MS mouse model.

14:30 0907.   Connectivity-based parcellation of the thalamus in multiple sclerosis and its implications for cognitive impairment: a multicenter study - permission withheld
Elisabetta Pagani1, Maria A. Rocca1,2, Alvino Bisecco1, Laura Mancini3, Christian Enzinger4, Antonio Gallo5, Hugo Vrenken6, Maria Laura Stromillo7, Massimiliano Copetti1, David Thomas3, Franz Fazekas4, Gioacchino Tedeschi5, Frederik Barkhof6, Nicola De Stefano7, Massimo Filippi1,2, and for the MAGNIMS Network8
1Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, MI, Italy, 2Department of Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, MI, Italy, 3UCLH NHS Foundation Trust, National Hospital for Neurology and Neurosurgery, London, UK, United Kingdom, 4Department of Neurology, Medical University of Graz, Graz, A, Austria, 5MRI Center “SUN-FISM", Second University of Naples, Naples, NA, Italy, 6Department of Radiology, VU University Medical Centre, Amsterdam, Netherlands, Netherlands, 7Department of Neurological and Behavioral Sciences, University of Siena, Siena, SI, Italy, 8EU, EU, Italy

The thalamus is a complex structure, organized in nuclear groups with specific functions and connections with cortical and subcortical areas. This is why studying the whole thalamus could be inadequate to explain deficits of specific functions. In this multicenter study, we performed tractography-based parcellation of the thalamus and its white matter connections to investigate the relationship between thalamic connectivity abnormalities and cognitive impairment in multiple sclerosis (MS). Cognitive impaired patients had more relevant microstructural damage of motor, post-central and occipital connected thalamic regions, reflecting prominent gray matter damage. Cortico-thalamic disconnection is, at various levels, implicated in cognitive dysfunction in MS.

14:42 0908.   Hippocampal-related memory network in Multiple Sclerosis: a structural connectivity analysis - permission withheld
Elisabetta Pagani1, Maria A. Rocca1,2, Sara Llufriu1,3, Gianna Carla Riccitelli1, Bruno Colombo2, Mariaemma Rodegher2, Andrea Falini4, Giancarlo Comi2, and Massimo Filippi1,2
1Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, MI, Italy, 2Department of Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, MI, Italy, 3Hospital Clinic Barcelona, Barcelona, E, Spain, 4Department of Neuroradiology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, MI, Italy

Memory dysfunction is frequently present in patients with multiple sclerosis and diffusion tensor imaging enables to define and quantify structural damage in networks involved in memory performance. In this study, we quantified structural connectivity integrity of the hippocampal-related episodic memory network and its association with memory performance in multiple sclerosis patients. We found that the network is globally impaired in patients, even if it maintains a configuration in which the thalamus and parietal lobes show the highest strength. The integrity of this network seems relevant for preserving memory functions.

14:54 0909.   
Histological metrics confirm microstructural characteristics of NODDI indices in multiple sclerosis spinal cord
Francesco Grussu1, Torben Schneider1, Richard L. Yates2, Mohamed Tachrount3, Jia Newcombe4, Hui Zhang5, Daniel C. Alexander5, Gabriele C. DeLuca2, and Claudia A. M. Wheeler-Kingshott1
1NMR Research Unit, Department of Neuroinflammation, Queen Square MS Centre, UCL Institute of Neurology, London, England, United Kingdom,2Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, England, United Kingdom, 3Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, England, United Kingdom, 4NeuroResource, UCL Institute of Neurology, London, England, United Kingdom,5Department of Computer Science and Centre for Medical Image Computing, University College London, London, England, United Kingdom

Neurite orientation dispersion and density imaging (NODDI) is a model-based diffusion MRI technique that has shown promising results in the multiple sclerosis (MS) brain. Here, we investigate its potential for the spinal cord, which can have a high lesion load in MS. We perform NODDI analysis on an ex vivo specimen of MS lumbar spinal cord at 9.4 T, and compare results to quantitative histological features from the same sample. We conclude that NODDI replicates the trends of the histological indices, detecting specific features of abnormal tissue, and therefore is potentially useful for spinal cord imaging in MS.

15:06 0910.   Quantitatively Characterize Pathological Compositions for Different Types of Multiple Sclerosis Lesion
Yong Wang1,2, Peng Sun1, Qing Wang1, Kathryn Trinkaus3, Robert T. Naismith4, Robert E. Schmidt4, Anne H. Cross2,4, and Sheng-Kwei Song1,2
1Radiology, Washington University in St. Louis, Saint Louis, MO, United States, 2Hope Center for neurological Disorders, Washington University in St. Louis, Saint Louis, MO, United States, 3Biostatistics, Washington University in St. Louis, Saint Louis, MO, United States, 4Neurology, Washington University in St. Louis, Saint Louis, MO, United States

Accurately characterizing and quantifying the pathological composition within multiple sclerosis (MS) lesions can provide important evidence and information to better assess disease severity, monitor progression and evaluate treatment effects. However available conventional and quantitative MRI is incapable to distinguish pathological components within MS lesions. Against this background, diffusion basis spectrum imaging (DBSI) was recently developed to simultaneously quantify axonal injury, demyelination and inflammation. This study found that DBSI metrics and quantitative histology measured the same pathological characteristics, and DBSI can quantitatively characterize pathological compositions for different MS lesion types, a task yet to be demonstrated by other neuroimaging approaches.

15:18 0911.   BOLD, Blood Flow and Hypercapnic Challenge Reveals Cerebrovascular Decoupling in Multiple Sclerosis
Mark J. Lowe1, Wanyong Shin1, Lael Stone2, Robert Bermel2, and Micheal D. Phillips1
1Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 2Neurologic Insititute, Cleveland Clinic, Cleveland, OH, United States

It is known that multiple sclerosis results in decreased cerebral metabolic rate of oxygen and blood flow. Both of these are critical elements in cerebrovascular reactivity to neuronal activation. Using simultaneous BOLD/ASL, we measured BOLD activation during a visual task and cerebrovascular reactivity using a hypercapnia challenge in a cohort of multiple sclerosis patients and matched control subjects. We show that the cerebrovascular coupling is significantly different in multiple sclerosis patients.