| Computer # |
| 2951.
 | 33 | Differences in local functional connectivity strength in patients with early and late multiple sclerosis Katherine Anne Koenig1, Xuemei Huang1, Daniel Ontaneda1, Kedar Mahajan1, Se-Hong Oh1, Stephen Jones1, and Mark J Lowe1
1The Cleveland Clinic, Cleveland, OH, United States Keywords: Multiple Sclerosis, Multiple Sclerosis Motivation: Disease progression is variable in multiple sclerosis (MS). Widely-used measures of neuropathology do not show a straightforward relationship to functional decline.
Goal(s): Our work aims to identify changes in brain function that are related to MS disease progression. Approach: We measured resting state functional connectivity MRI at 7 tesla in 71 adults with MS. We compared cortical grey matter regional homogeneity (ReHo) in participants with early and late stage MS and correlated ReHo with MS disease severity. Results: Local connectivity, measured by ReHo, was stronger in early MS and was related to disease severity. Impact: MRI-based
measures that track and predict MS disease progression could identify patients who
subsequently decline and serve as outcome measures in clinical trials of novel
disease modifying treatments. |
| 2952.
 | 34 | Reduced Brain Oxygen Metabolism in Patients with Multiple Sclerosis Measured by Venous Blood Quantitative Susceptibility Mapping Hasan Sawan1, Chenyang Li2, Sagar Buch1, Fahad Malik1, Ying Wang3, Evanthia Bernitsas1, E. Mark Haacke3, Yulin Ge2, and Yongsheng Chen1
1Neurology, Wayne State University School of Medicine, Detroit, MI, United States, 2Radiology, New York University School of Medicine, New York, NY, United States, 3Radiology, Wayne State University School of Medicine, Detroit, MI, United States Keywords: Multiple Sclerosis, Multiple Sclerosis, Oxygenation; Quantitative Susceptibility Mapping; Neurodegeneration Motivation: It remains largely unknown whether venous blood susceptibility can be used as an imaging biomarker of neuronal activity in multiple sclerosis (MS). Goal(s): To assess the oxygen saturation of the internal cerebral veins (ICVs), and their correlations with clinical scores in MS patients. Approach: Susceptibility of ICVs was measured on QSM data in 18 MS patients and 10 controls. The susceptibility of ICV values were correlated with clinical scores using linear regression in MS patient. Results: There was a significant reduction in ICV susceptibility (indicating an increased oxygen saturation) in MS patients. The decreased venous susceptibility correlated with cognitive decline in these patients. Impact: This study provides first-of-its-kind evidence that reduced oxygen consumption in deep cerebral regions may be associated with cognitive decline in patients with multiple sclerosis (MS). Venous blood susceptibility could be an imaging biomarker of cerebral oxygen metabolism in MS. |
| 2953.
 | 35 | Disease-modifying therapies and the longitudinal improvement of the thalamocortical white matter network in people with multiple sclerosis Oun Al-iedani1,2, Abdulaziz Alshehri2,3,4, Nikitas Koussis2, Ibrahim Khormi2,4,5, Rodney Lea2, Saadallah Ramadan2,4, and Jeannette Lechner-Scott2,6,7
1School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia, 2Hunter Medical Research Institute, New Lambton Heights, Australia, 3King Fahd University Hospital, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia, 4School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia, 5College of Applied Medical Sciences, University of Jeddah, Jeddah, Saudi Arabia, 6Department of Neurology, John Hunter Hospital, New Lambton Heights, Australia, 7School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia Keywords: Multiple Sclerosis, Multiple Sclerosis Motivation: Relapse-remitting multiple sclerosis (RRMS) induces widespread changes in white matter (WM), affecting crucial functions. This novel longitudinal study investigates these alterations using advanced MRI, potentiating improved diagnosis and treatment. Goal(s): To investigate differences in WM microstructure on a network level between RRMS and healthy controls (HCs) over two years. Approach: Advanced MRI (diffusion-weighted imaging and tractography) was used in a network-based analysis of WM tracts, comparing RRMS to HCs. Results: Our findings reveal widespread WM disparities in RRMS. We identified network differences between RRMS and HCs, offering valuable insights into RRMS pathophysiology and potential remyelination during disease-modifying treatments. Impact: This novel study reveals widespread white matter
differences in relapse-remitting multiple sclerosis (RRMS) patients, providing
crucial insights into RRMS pathophysiology. It highlights potential
remyelination during treatment, offering promise for improved diagnosis and
therapy. |
| 2954.
 | 36 | Microstructure-informed brain segmentation in multiple sclerosis using CAQE Sharada Balaji1, Marek Obajtek1, Irene M. Vavasour1, Adam Dvorak1, Poljanka Johnson1, Guillaume Gilbert2, Roger Tam1, Cornelia Laule1,3, David K.B. Li1, Anthony Traboulsee1, Alex L. MacKay1, and Shannon H. Kolind1
1University of British Columbia, Vancouver, BC, Canada, 2MR Clinical Science, Philips Healthcare Canada, Missisauga, ON, Canada, 3International Collaboration on Repair Discoveries, Vancouver, BC, Canada Keywords: Multiple Sclerosis, Microstructure Motivation: Progression in neurodegenerative diseases such as multiple sclerosis (MS) involves tissue damage invisible on conventional MRI scans. Quantitative measures of tissue microstructure may be more informative. Goal(s): To segment MS brain MRI data based on quantitative microstructural MRI measures without spatial input. Approach: 23 MS brain scans were segmented based on clustering healthy quantitative data using an unsupervised Clustering for Anatomical Quantification and Evaluation (CAQE) framework. Classifications of lesions and normal appearing tissue were compared to a healthy atlas segmentation. Results: MS brains showed several differences from healthy classification in normal-appearing regions on conventional MRIs. Periventricular lesions were generally classified consistently. Impact: Using only microstructural features, the CAQE framework can classify diseased tissue in more detail than conventional segmentation algorithms based on qualitative MRI scans, and provide useful information for improved diagnosis, follow-up and more personalized care. |
| 2955.
 | 37 | Central Vein Sign and Trigeminal Lesions of Multiple Sclerosis Visualized by 7.0T MRI Jing Jing1, Zhe Zhang1, Lei Su2, Yuan Li3, Chenyang Gao2, Ai Guo1, Xinyao Liu1, Huabing Wang1, Xinghu Zhang1, Yaou Liu1, Emmanuelle Waubant4, Fu-Dong Shi1, and Decai Tian1
1Beijing Tiantan Hospital, Beijing, China, 2Tianjin General Hospital, Tianjin, China, 3MR research collaboration team, siemens healthineers, Beijing, China, 4Department of Neurology, University of California San Fransisco, San Francisco, CA, United States Keywords: Multiple Sclerosis, Multiple Sclerosis Motivation: Multiple sclerosis patients are more vulnerable to trigeminal neuralgia, but the mechanism behind this nerve injury is still unclear. Goal(s): We aim to investigate trigeminal nerve involvement in MS and provide insight into pathology. Approach: 120 patients underwent 7.0 T multi-modality MRI scans. T1-MPRAGE, T2-FLAIR, FLAWS-MP2RAGE, and T2*W images were collected. Results: Our study confirmed the high prevalence of trigeminal nerve on 7.0 T MRI and highlighted the presence of a central vein sign in trigeminal nerve lesions. This study contributes to a deeper understanding of the pathophysiology and location-specific nature of trigeminal lesions. Impact: This finding
reinforces that trigeminal nerve involvement represents a characteristic of MS
lesions, which has the potential for precising diagnosis in the future. |
| 2956.
 | 38 | Identification of 9.4T MRI sequences for enhanced cellular visualisation of Multiple Sclerosis lesions Elisabetta Giacomelli1,2,3, Ilaria Callegari1,2,3, Riccardo Galbusera1,2,3, Erik Bahn4, Mario Ocampo-Pineda1,2,3, Po-Jui Lu1,2,3, Alessandro Cagol1,2,3,5, Jochen Leupold6, Bibek Dhital1,2,3, Matthias Weigel1,2,3,7, Dominik von Elverfeldt6, Valerij G. Kiselev6, Christine Stadelmann4, and Cristina Granziera1,2,3
1Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland, 2Department of Neurology, University Hospital Basel, Basel, Switzerland, 3Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland, 4Institute of Neuropathology, University Medical Center, Göttingen, Germany, 5Department of Health Sciences, University of Genova, Genova, Italy, 6Division of Medical Physics, Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 7Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland Keywords: Multiple Sclerosis, High-Field MRI, 9.4T MRI, Multi-Gradient-Echo, Multi-Spin-Echo, FLASH, RARE, Post-mortem, Histopathological images, Histochemical staining, Lesion features, Microglia Motivation: Accurately analyzing cell presence in multiple sclerosis (MS) lesions via magnetic resonance imaging (MRI) cannot be achieved without histopathological validation. Goal(s): Identification of biomarkers in MRI responsible for capturing microstructural alterations in brain tissues. Approach: Investigation of relations in the ratio between lesion and normal-appearing white matter (NAWM) in voxel values of postmortem 9.4 T MRI scans and in cell density values of histochemical images of three MS lesions.
Results: We identified effective MRI sequences enhancing the contrast between the different features of the lesions and the NAWM and linked them to different cell type presence, as detected via quantitative histochemical analysis. Impact: The establishment of a robust connection between MRI data and histochemical features will improve our understanding of the MS lesions development and its impact on the brain microstructure. |
| 2957.
 | 39 | Subtraction Map Pipeline to Assess Longitudinal Changes in Multiple Sclerosis at Portable Ultra-Low-Field MRI Corinne Donnay1,2, Serhat V Okar3, Megan Poorman4, Daniel S Reich3, and Govind Nair5
1NINDS, NIH/Oxford, Bethesda, MD, United States, 2Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, United Kingdom, 3NINDS, NIH, Bethesda, MD, United States, 4Hyperfine Inc, Guilford, CT, United States, 5NIH, Bethesda, MD, United States Keywords: Visualization, Low-Field MRI, Multiple Sclerosis, Longitudinal, White Matter Lesions Motivation: Ultra-low-field (ULF) MRI is more patient-accessible due to its cost effectiveness and portability and could in principle allow more frequent follow-up in disabling neurological diseases like multiple sclerosis (MS). However, using ULF MRI to track longitudinal changes is challenging due to reduced SNR and CNR. Goal(s): To develop an ULF longitudinal subtraction pipeline. Approach: We developed a subtraction pipeline for ULF images and assessed longitudinal changes in 14 scans from 12 MS participants. Results were compared with an MS neurologist’s impression of high-field images. Results: Our pipeline was able to detect new lesions and longitudinal changes in MS on par with high-field MRI. Impact: A longitudinal subtraction pipeline, implemented on ultra-low field MR images, was useful for monitoring interval changes in patients with MS, augmenting the clinical utility of follow-up MRI. |
| 2958.
 | 40 | Patient-Centered Neurological Evaluation of Functional MRI Outcomes in Multiple Sclerosis Atlee A Witt1,2, Anna Combes1,3, Kristin P O'Grady1,4,5, Colin D McKnight4, Baxter Rogers1,4, Grace Sweeney1, Logan Prock1, Delaney Houston1, Francesca Bagnato6, Subramaniam Sriram6, and Seth A Smith1,4,5
1Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, 2Vanderbilt University School of Medicine, Nashville, TN, United States, 3Department of Neuroinflammation, Queen Square Institute of Neurology, London, United Kingdom, 4Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 5Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 6Department of Neurology, Neuroimmunology Division, Vanderbilt University Medical Center, Nashville, TN, United States Keywords: Multiple Sclerosis, Multiple Sclerosis Motivation: Multiple sclerosis (MS) is the most common neurodegenerative disease in young adults with significant gaps in spinal cord (SC) imaging necessitating advanced techniques like fMRI to better characterize MS pathology. Goal(s): We aim to explore SC functional connectivity (FC) via resting-state functional MRI (fMRI) to disentangle the complex interactions between biological variables, disease metrics, and synchronous BOLD activity. Approach: We acquired mFFE and fMRI images in MS patients and healthy controls (HC), performed image post-processing, and analyzed correlations between 6 gray matter (GM) networks. Results: SC FC differs significantly depending on cohort and subject characteristics, like disease metrics and biological variables like gender. Impact: Implications include a robust analytical evaluation of the rs-fMRI signatures arising in the MS SC and their relationship to functional integrity. By understanding fMRI in the SC of MS patients, we may better understand the human experience of MS. |
| 2959.
 | 41 | SHAP Interpretation of Machine Learning Model for Subcortical White Matter Biomarkers in Cognitive Impairment in Multiple Sclerosis Patients Cristian Montalba1,2,3, Pamela Franco3,4,5, Raul Caulier-Cisterna6, Juan Pablo Cruz7, Claudia Carcamo8,9, and Ethel Ciampi8,10
1Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, 2Radiology Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile, 3Millennium Institute for IntelligentHealthcare Engineering - iHEALTH, Pontificia Universidad Catolica de Chile, Santiago, Chile, 4Physics Department, Faculty of Science, Universidad de Santiago, Santiago, Chile, 5School of of Civil Engineering, Computer Science and Telecommunications, Faculty of Engineering, Universidad Finis Terrae, Santiago, Chile, 6Department of Informatics and Computing, Faculty of Engineering,, Universidad Tecnológica Metropolitana, Santiago, Chile, 7Radiology Department, Instituto de Neurocirugía – Dr. Alfonso Asenjo, Santiago, Chile, 8Neurology Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile, 9Interdisciplinary Center of Neurosciences, Pontificia Universidad Catolica de Chile, Santiago, Chile, 10Neurology Service, Hospital Dr. Sótero del Río, Santiago, Chile Keywords: Multiple Sclerosis, Multiple Sclerosis, . Motivation: Multiple Sclerosis patients present cognitive decline at the early stages of the disease. Current neurocognitive batteries may not identify early changes. FA evaluates microstructural changes in white matter. To consider clinicopathological correlation remains complex and needs to be understood. Goal(s): A biomarker that could detect patients with cognitive deficits might benefit from early diagnosis and treatment. Approach: ML to identify subcortical white matter biomarkers between Healthy Controls with Cognitive Preserved and Relapsing-Remitting Multiple Sclerosis patients with or without cognitive impairment in verbal episodic memory. Results: We found six FA biomarkers, all located in the frontal lobes. These features maximized the accuracy, obtained: 62.22±17.33%. Impact: Since
the MRI is the gold standard for MS diagnosis, we can obtain new insights about
not only the patient's condition but also detect early changes in patients with
cognitive impairment. |
| 2960.
 | 42 | Current Stimulation and Brain Connectivity in Prodromal Multiple Sclerosis: A Simultaneous tDCS-MRI Study Marco Muccio1,2, Giuseppina Pilloni3, Luis Fernandez3, Erica Kreisberg3, Lauren Krupp3, Abhishek Datta4, Marom Bikson5, Leigh Charvet3, and Yulin Ge1,2
1Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York City, NY, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York City, NY, United States, 3Neurology, New York University Grossman School of Medicine, New York City, NY, United States, 4Research and Development, Soterix Medical Inc, Woodbridge Township, NJ, United States, 5Biomedical Engineering, City College of New York, New York City, NY, United States Keywords: Multiple Sclerosis, Neurodegeneration Motivation: The extent of tDCS’s impact on brain functional connectivity(FC) in individuals with prodromal multiple sclerosis(MS) remains largely unknown. Goal(s): To investigate the acute tDCS effects on brain network and FC using resting state functional MRI(rs-fMRI) in MS prodromal patients. Approach: The study involved a concurrent tDCS-MRI session, in which rs-fMRI data were acquired prior to and during tDCS (2mA, DLPFC left anodal). Results: During tDCS, we noted a significant increase in FC between hippocampus and frontal pole as well as lateral parietal cortex in the left hemisphere. Similar increases were observed between frontal left regions and cortical and subcortical areas. Impact: The observed effects of tDCS on brain network dynamics and resting state functional connectivity in prodromal MS could potentially influence its future clinical applications as a treatment option in such early stages of the disease. |
| 2961.
 | 43 | Unveiling the Association between Gray Matter Atrophy and Impaired Blood Flow in EAE Mouse Model of MS with 9.4T MRI Mada Hashem1,2,3,4, A. Max Hamilton1,2,3,4, Manoj Mishra2,4, V. Wee Yong2,4, and Jeff F. Dunn1,2,3,4
1Department of Radiology, University of Calgary, Calgary, AB, Canada, 2Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 3Experimental Imaging Centre, University of Calgary, Calgary, AB, Canada, 4Cumming School of Medicine, University of Calgary, Calgary, AB, Canada Keywords: Multiple Sclerosis, Brain, arterial spin labeling, high field MRI, Atrophy, Perfusion Motivation: The underlying mechanisms of Multiple Sclerosis (MS) remain unclear, and treatments are lacking. In MS, cerebral atrophy, and impaired cerebral blood flow (CBF), are both aspects of GM pathology. Goal(s): We aim to assess the relationship between atrophy and CBF in MS, and their changes with disease duration and severity. Approach: We applied non-invasive ASL-MRI and Atlas-based volumetrics to measure CBF and atrophy in the EAE mouse model of MS, over disease course. Results: EAE mice showed reduced CBF during peak and long-term disease but atrophy just during long-term disease. Long-term clinical disability and atrophy were correlated with CBF. Impact: Reduced
CBF may relate to pathology in MS, including progression and atrophy. Future
studies combining ASL-MRI and atlas-based volumetrics may be useful for investigating
the processes underlying neurodegeneration in MS. |
| 2962.
 | 44 | Pathophysiology of Multiple Sclerosis (MS) Lesions Identified by Quantitative Ultra High Spatial Resolution (UHSR) MRI Arvind Prasad1, Ken Sakaie2, Mark J. Lowe2, Stephen Jones2, Daniel Ontaneda3, Jacqueline Chen2, Kunio Nakamura4, Emmanuel Obusez2, and Kedar R. Mahajan1,3
1Department of Neurosciences, Lerner Research Institute, The Cleveland Clinic, Cleveland, OH, United States, 2Imaging Institute, The Cleveland Clinic, Cleveland, OH, United States, 3Mellen Center for Multiple Sclerosis Treatment and Research, Neurological Institute, The Cleveland Clinic, Cleveland, OH, United States, 4Department of Biomedical Engineering, Lerner Research Institute, The Cleveland Clinic, Cleveland, OH, United States Keywords: Multiple Sclerosis, Quantitative Imaging Motivation: Remyelination is proposed as a strategy for neural repair in multiple sclerosis. Imaging biomarkers quantifying myelin are expected to play an important role for advancing remyelinating therapies. Goal(s): To assess quantitative T2* (QT2*) as an indicator of myelin density. Approach: MRI of a fixed MS brain hemisphere was used to identify lesions in gray and white matter. The lesions were subsequently analyzed with histology. Results: Significant correlations between QT2* and myelin histology were observed within and among lesions. Impact: Histology provides information on pathophysiology in
exquisite detail but cannot be performed on the whole brain. This study
demonstrates how quantitative UHSR can direct histology while evaluating
potential imaging biomarkers for myelin density. |
| 2963.
 | 45 | Towards clinical translation of single-subject characterization of T1 changes to capture the extent of focal tissue damage in multiple sclerosis Paul Kuntke1, Caroline Köhler1, Lisa Hösel1, Gian Franco Piredda2,3, Tommaso Di Noto2,4,5, Samuele Caneschi2, Lucia Roccaro2, Jonathan A. Disselhorst2,4,5, Tobias Bodenmann2, Ricardo Corredor Jerez2,4,5, Tobias Kober2,4,5, Tom Hilbert2,4,5, Bénédicte Maréchal2,4,5, Tjalf Ziemssen6, and Hagen H. Kitzler1
1Institute of Diagnostic and Interventional Neuroradiology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, 2Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 3CIBM Center for Biomedical Imaging, Geneva, Switzerland, 4Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 6Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus,Technische Universität Dresden, Dresden, Germany Keywords: Multiple Sclerosis, Quantitative Imaging, White matter abnormalities Motivation: Multiple sclerosis involves both focal and diffuse tissue damage, necessitating rapid MRI methods that can be easily incorporated into clinical routine and can capture disease-specific microstructural changes.
Goal(s):
The purpose of this study was to capture the magnitude of qT1 changes within lesions.
Approach:
Using MP2RAGE, qT1 changes within lesions could be measured as T1 z-scores.
Results: A total of n=3511 individual lesions were examined, of which 49.5% had a mean z-score greater than 2, reflecting deficient tissue integrity. The deficient volume fraction, reflecting the damage within the whole white matter, can be used to characterize the tissue destruction burden of MS patients.
Impact: T1 mapping using a rapid MP2RAGE sequence can be incorporated into clinical practice to determine the severity of damage in multiple sclerosis lesions, particularly important for detecting disease severity of progressive forms of multiple sclerosis.
|
| 2964.
 | 46 | Cross-sectional multiparametric subtyping of multiple sclerosis lesions informs on their longitudinal evolution Veronica Ravano1,2,3, Michaela Andelova4, Gian Franco Piredda1,5, Stefan Sommer1,6, Samuele Caneschi1, Lucia Roccaro1, Jan Krasenky7, Matej Kudrna7, Tomas Uher4, Ricardo A. Corredor-Jerez1,2,3, Jonathan A. Disselhorst1,2,3, Bénédicte Maréchal1,2,3, Tom Hilbert1,2,3, Jean-Philippe Thiran3, Jonas Richiardi2, Dana Horakova4, Manuela Vaneckova7, and Tobias Kober1,2,3
1Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 4Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University of Prague, Prague, Czech Republic, 5CIBM Centre for Biomedical Imaging, Geneva, Switzerland, 6Swiss Centre for Musculoskeletal Imaging (SCMI), Balgrist Campus, Zurich, Switzerland, 7Department of Radiology, First Faculty of Medicine, Charles University and General University of Prague, Prague, Czech Republic Keywords: Multiple Sclerosis, Relaxometry, White Matter; quantitative imaging Motivation: In multiple sclerosis, slowly expanding lesions have been suggested as a hallmark of a steadily worsening disease course. However, identifying these lesions is challenging, as their growth rates are at the detection limit of today's processing algorithms or MRI data must be available over a long period of time. Goal(s): To identify and characterise slowly expanding lesions in cross-sectional data. Approach: We compared changes in quantitative T1, T2 and T2/T1-ratio inside lesions and in perilesional tissue for enlarging/stable/shrinking/new lesion phenotypes. Results: Z-scores of multiparametric quantitative maps carry discriminative information to classify lesion evolution from single time point data. Impact: Our findings suggest that quantitative multiparametric
analyses allow a better in vivo characterisation of microstructural tissue
pathology in multiple sclerosis; this furthers the understanding of different
lesion evolutions and might enable to already distinguish them from cross-sectional
data. |
| 2965.
 | 47 | Myelin imaging with myelin-sensitive inversion recovery (MySIR) in multiple sclerosis Sakie Namba1, Hajime Yokota2, Takayuki Sada1, Ryuna Kurosawa1, Keisuke Nitta1, Koji Matsumoto1, Masami Yoneyama3, Guillaume Gilbert4, and Takashi Uno2
1Department of Radiology, Chiba University Hospital, Chiba, Japan, 2Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan, 3Philips Japan, Tokyo, Japan, 4Phillips Canada, Mississauga, ON, Canada Keywords: Multiple Sclerosis, Brain, Myelin imaging Motivation: Myelin imaging that can assess demyelination needs to be established for testing new drugs and determining treatment strategies in multiple sclerosis (MS). Goal(s): To investigate the correlation between myelin-sensitive inversion recovery imaging (MySIR) and inhomogeneous magnetization transfer (ihMT) to determine whether MySIR is feasible as myelin imaging in MS. Approach: We evaluated the correlation between MySIR and ihMT in MS plaque and normal-appearing white matter (NAWM). Results: MySIR correlated with ihMT in plaques of MS, and the discrimination ability between plaque and normal-appearing white matter of MySIR was equivalent to that of ihMT. Impact: MySIR is feasible as myelin imaging for MS
plaque. MySIR can achieve high resolution and has the potential to measure
myelin content accurately. |
| 2966.
 | 48 | Longitudinal Quantitative synthetic MRI assessment of hippocampus in early-stage multiple sclerosis: correlation with cognitive scores Jing Huang1, Yan Liang1, and Jie Lu1
1Xuanwu hospital, Beijing, China Keywords: Multiple Sclerosis, Multiple Sclerosis Motivation: The longitudinal changes of the quantitative MRI parameters in the hippocampus of MS patients and their correlation with clinical factors remains unclear. Goal(s): This study aimed to characterize the longitudinal changes of quantitative parameters in the hippocampus and explore the relevance of these changes to cognitive assessment. Approach: Quantitative values calculated using Synthetic MRI technique and extracted for different subregions of the hippocampus. Results: Compared with healthy controls, significant differences of quantitative values in the hippocampus, particularly in the subiculum, were observed. At 1-year follow-up, clinical improvement was associated with lower T2 values in the entire hippocampus. Impact: Synthetic
MRI can effectively evaluate changes in the normal-appearing hippocampus of MS
patients and may be useful for monitoring disease progression clinically. |