Review
Clinical Neurology
Massimo Filippi, Paolo Preziosa, Douglas L. Arnold, Frederik Barkhof, Daniel M. Harrison, Pietro Maggi, Caterina Mainero, Xavier Montalban, Elia Sechi, Brian G. Weinshenker, Maria A. Rocca
Summary: The use of MRI in the diagnosis of MS has evolved considerably, with the introduction of the 2017 McDonald criteria and new MRI markers. Artificial intelligence tools may complement human assessment in improving diagnosis and patient classification.
JOURNAL OF NEUROLOGY
(2023)
Review
Clinical Neurology
Christopher Hollen, Lee E. Neilson, Ramon F. Barajas, Ian Greenhouse, Rebecca I. Spain
Summary: Conventional MRI is important for evaluating patients with multiple sclerosis, but its role in detecting the underlying pathophysiology of neurodegeneration is limited. Biomarkers that identify processes underlying neurodegeneration before irreversible damage occurs are needed. Oxidative stress is believed to play a major role in the pathogenesis of multiple neurodegenerative diseases, including multiple sclerosis. Non-invasive imaging techniques offer real-time assessment of oxidative stress within the brain, which is an area of unrealized potential.
FRONTIERS IN NEUROLOGY
(2023)
Article
Clinical Neurology
Kelly A. Clark, Abby R. Manning, Luyun Chen, Fang Liu, Quy Cao, Amit Bar-Or, Russell T. Shinohara, Elizabeth Sweeney, Matthew K. Schindler
Summary: This study aimed to identify early MRI features of new multiple sclerosis (MS) lesions that would develop into paramagnetic rim lesions (PRLs) associated with progressive tissue injury in MS. Contrast-enhancing lesions in MS patients were imaged at 7 T within 4 weeks of observation and 3 and 6 months later. The study found that certain characteristics of early lesions were predictive of subsequent PRL status.
ANNALS OF NEUROLOGY
(2023)
Review
Clinical Neurology
Fabio Giuseppe Masuccio, Giulia Gamberini, Massimiliano Calabrese, Claudio Solaro
Summary: The study reveals a link between brain pathology and depressive symptoms in patients with multiple sclerosis, supporting the hypothesis that structural and functional brain impairment might substantially contribute to the development of depression in these patients. This suggests that depression in multiple sclerosis patients may have a neuro-biological basis and is not merely a consequence of neurological impairment.
NEUROLOGICAL SCIENCES
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jerome Hodel, Meike W. Vernooij, Mona K. Beyer, Mariasavina Severino, Xavier Leclerc, Alain Creange, Abir Wahab, Neesmah Badat, Sarah Toledano, Luc van den Hauwe, Ana Ramos, Antonella Castellano, Alexandre Krainik, Tarek Yousry, Alex Rovira
Summary: This study evaluated compliance with recommendations in imaging for multiple sclerosis (MS). The results showed that while MS imaging practices are relatively consistent across Europe, there is still partial adherence to recommendations.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Isabelle Riederer, Mark Muehlau, Claus Zimmer, Magaly Gutbrod-Fernandez, Nico Sollmann, Jan S. Kirschke
Summary: The study found that pre-contrast T1-w imaging does not significantly increase diagnostic confidence or detection rate of contrast-enhancing lesions in spinal cord MRI follow-up exams for patients with multiple sclerosis (MS).
EUROPEAN RADIOLOGY
(2021)
Review
Neurosciences
Amir Valizadeh, Mana Moassefi, Elham Barati, Mohammad Ali Sahraian, Faezeh Aghajani, Mohammad-Reza Fattahi
Summary: A meta-analysis of 27 studies involving 1919 participants revealed a correlation coefficient of 0.32 (95% CI 0.26-0.37) between T1 hypointense lesions' mean volume and EDSS score. The correlation was interpreted as low to slightly moderate, with high certainty of evidence.
CNS NEUROSCIENCE & THERAPEUTICS
(2021)
Article
Computer Science, Artificial Intelligence
Orcan Alpar, Ondrej Soukup, Pavel Ryska, Radka Dvorakova, Jiri Jandura, Martin Valis, Ondrej Krejcar
Summary: Monitoring and tracking the size and number of MS lesions is crucial in clinical medicine. MRI technology, especially FLAIR sequence, is used to identify the lesions. However, not all MRI scans are continuous or overlapping, leading to gaps between slices and affecting accuracy.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Clinical Neurology
Ferdinando Clarelli, Maria Assunta Rocca, Silvia Santoro, Ermelinda De Meo, Laura Ferre, Melissa Sorosina, Filippo Martinelli Boneschi, Federica Esposito, Massimo Filippi
Summary: The study assessed the association between genetic factors and neuroimaging measures in multiple sclerosis patients using gene set analysis and SNP regression analysis, revealing different patterns of associations between types of lesions and functional processes, providing new insights into the pathophysiological mechanisms of MS.
EUROPEAN JOURNAL OF NEUROLOGY
(2021)
Article
Clinical Neurology
Loredana Storelli, Elisabetta Pagani, Alessandro Meani, Paolo Preziosa, Massimo Filippi, Maria A. Rocca
Summary: The study suggests that advanced diffusion-weighted imaging techniques can accurately detect white matter atrophy in patients with multiple sclerosis, providing more specific information than traditional methods that only measure volume and diffusion. Additionally, measures such as voxel-wise fiber-bundle cross-section and intra-cellular volume obtained at baseline are better predictors of clinical disability and cognitive impairment.
JOURNAL OF NEUROLOGY
(2022)
Article
Clinical Neurology
Feiyue Mi, Yingchun Wang, Wenqiang Chai, Ya Chen, Xuhua Yin
Summary: This study compared the levels of plasma neurofilament light (NfL) in patients with multiple sclerosis (MS) at acute and remission stages and healthy individuals, and found that plasma NfL levels could be a potential biomarker for monitoring disease activity and severity, as well as predicting disease prognosis.
FRONTIERS IN NEUROLOGY
(2023)
Review
Neurosciences
Jelena Brasanac, Claudia Chien
Summary: Magnetic resonance imaging (MRI) is commonly used in multiple sclerosis (MS) to detect chronic and active brain lesions. It is also used to assess brain health through volumetric analysis and advanced imaging techniques. In MS patients, comorbid psychiatric symptoms are common, with depression being the most prevalent. These symptoms, which greatly affect the quality of life, are often overlooked and undertreated. Bidirectional interactions between MS progression and comorbid psychiatric symptoms have been observed, highlighting the importance of investigating and optimizing the treatment of psychiatric comorbidities. New research, aided by technological advancements and a deeper understanding of the aging brain, has advanced the prediction of disease states or disability phenotypes.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Alexandra Lipka, Eva Niess, Assunta Dal-Bianco, Gilbert J. Hangel, Paulus S. Rommer, Bernhard Strasser, Stanislav Motyka, Lukas Hingerl, Thomas Berger, Petra Hnilicova, Ema Kantorova, Fritz Leutmezer, Egon Kurca, Stephan Gruber, Siegfried Trattnig, Wolfgang Bogner
Summary: Magnetic resonance spectroscopic imaging (MRSI) allows for the assessment of metabolic alterations in multiple sclerosis (MS) that cannot be visualized using conventional magnetic resonance imaging (MRI). This study used 7 T MRSI to evaluate focal metabolic changes in MS lesions that are visible or invisible on MRI. The results showed increased mIns/tNAA levels in focal regions that were not visible on MRI, suggesting the potential of MRSI as an early biomarker in lesion development.
INVESTIGATIVE RADIOLOGY
(2023)
Article
Clinical Neurology
Magalie Freund, Insa Schiffmann, Anne Christin Rahn, Declan Chard, Carsten Lukas, Jutta Scheiderbauer, Anna Sippel, Christoph Heesen
Summary: The aim of this study was to develop an evidence-based online education program about the limitations and benefits of MRI for people with multiple sclerosis (pwMS). The results showed that the program was well-received and improved MRI risk-knowledge and perceived MRI competence among pwMS.
FRONTIERS IN NEUROLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ali Al-Radaideh, Imad Athamneh, Hadeel Alabadi, Majed Hbahbih
Summary: In patients with relapsing-remitting multiple sclerosis, deep gray matter (dGM) volumetric metrics and MTR values are significantly lower than in healthy controls, and have moderate associations with lesion load and iron concentration. T1 changes in dGM regions weakly correlate with T2 lesions, while iron concentration does not show any association with lesion metrics. Most dGM metrics do not correlate with disease severity, while most lesion metrics show weak associations with disease severity.
EUROPEAN RADIOLOGY
(2021)
