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Kraff O, May MW. Multi-center QA of ultrahigh-field systems. MAGMA (NEW YORK, N.Y.) 2025:10.1007/s10334-025-01232-8. [PMID: 40126781 DOI: 10.1007/s10334-025-01232-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2024] [Revised: 01/21/2025] [Accepted: 01/30/2025] [Indexed: 03/26/2025]
Abstract
Over the past two decades, ultra-high field (UHF) magnetic resonance imaging (MRI) has evolved from pure investigational devices to now systems with CE and FDA clearance for clinical use. UHF MRI offers enhanced diagnostic value, especially in brain and musculoskeletal imaging, aiding in the differential diagnosis of conditions like multiple sclerosis and epilepsy. However, to fully harness the potential of UHF, multi-center studies and quality assurance (QA) protocols are critical for ensuring reproducibility across different systems and sites. This becomes even more vital as the UHF community comprises three generations of magnet design, and many UHF sites are currently upgrading to the latest system architecture. Hence, this review presents multi-center QA measurements that have been performed at UHF, in particular from larger consortia through their "travelling heads" studies. Despite the technical variability between different vendors and system generations, these studies have shown a high level of reproducibility in structural and quantitative imaging. Furthermore, the review highlights the ongoing challenges in QA, such as transmitter performance drift and the need for a standard reliable multi-tissue phantom for RF coil calibration, which are crucial for advancing UHF MRI in both clinical and research applications.
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Affiliation(s)
- Oliver Kraff
- Erwin L. Hahn Institute for MR Imaging, University of Duisburg-Essen, Kokereiallee 7, 45141, Essen, Germany.
| | - Markus W May
- Erwin L. Hahn Institute for MR Imaging, University of Duisburg-Essen, Kokereiallee 7, 45141, Essen, Germany
- High-Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany
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2
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Rocca MA, Preziosa P, Filippi M. Advances in neuroimaging of multiple sclerosis. Curr Opin Neurol 2025:00019052-990000000-00229. [PMID: 40104925 DOI: 10.1097/wco.0000000000001360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2025]
Abstract
PURPOSE OF REVIEW To summarize recent advancements in understanding multiple sclerosis (MS) pathophysiology, predicting disease course, and monitoring treatment responses using MRI. RECENT FINDINGS Paramagnetic rim lesions (PRLs) are highly specific to MS and clinically relevant. Detected from the earliest disease phases, PRLs aid in distinguishing MS from other conditions, improving diagnostic accuracy. Moreover, PRLs are associated with more severe disability and measures of brain damage and may predict disease progression. Similarly, slowly expanding lesions (SELs) are associated with more severe disability and predict a more severe disease course. Disease-modifying therapies have limited effectiveness in reducing PRLs or SELs. Choroid plexus (CP) enlargement is associated with structural brain damage and clinical disability and predicts disease evolution. Enlarged perivascular spaces (ePVS) suggest microangiopathic changes rather than direct MS-related inflammation. Glymphatic dysfunction, evaluated using diffusion tensor image analysis along the perivascular space, emerges early in MS and correlates with disability, cognitive impairment, and structural brain damage. Aging and comorbidities exacerbate MS-related damage, complicating diagnosis and treatment. Emerging technologies, such as brain-age paradigms, aim to disentangle aging from MS-specific neurodegeneration. SUMMARY Advances in MRI have highlighted the clinical significance of chronic inflammation and glymphatic dysfunction as early contributors to MS progression as well as the interplay between aging, comorbidities and MS.
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Affiliation(s)
- Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience
- Neurology Unit, IRCCS San Raffaele Scientific Institute
- Vita-Salute San Raffaele University, Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience
- Neurology Unit, IRCCS San Raffaele Scientific Institute
- Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience
- Neurology Unit, IRCCS San Raffaele Scientific Institute
- Vita-Salute San Raffaele University, Milan, Italy
- Neurorehabilitation Unit
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
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3
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Toru Asahina A, Lu J, Chugh P, Sharma S, Sharma P, Tan S, Kovoor J, Stretton B, Gupta A, Sorby-Adams A, Goh R, Harroud A, Clarke MA, Evangelou N, Patel S, Dwyer A, Agzarian M, Bacchi S, Slee M. Prognostic significance of paramagnetic rim lesions in multiple sclerosis: A systematic review. J Clin Neurosci 2024; 129:110810. [PMID: 39232367 DOI: 10.1016/j.jocn.2024.110810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Revised: 07/18/2024] [Accepted: 08/22/2024] [Indexed: 09/06/2024]
Abstract
The diagnostic potential of paramagnetic rim lesions (PRLs) has been previously established; however, the prognostic significance of these lesions has not previously been consistently described. This study aimed to establish the prognostic role of PRLs in MS with respect to the Expanded Disability Status Scale (EDSS) and rates of disability progression. Databases of PubMed, EMBASE, Scopus and reference lists of selected articles were searched up to 29/04/2023. The review was conducted in accordance with PRISMA guidelines and was registered prospectively on PROSPERO (CRD42023422052). 7 studies were included in the final review. All of the eligible studies found that patients with PRLs tend to have higher baseline EDSS scores. Longitudinal assessments revealed greater EDSS progression in patients with PRLs over time in most studies. However, the effect of location of PRLs within the central nervous system were not assessed across the studies. Only one study investigated progression independent of relapse activity (PIRA) and showed that this clinical entity occurred in a greater proportion in patients with PRLs. This review supports PRLs as a predictor of EDSS progression. This measure has widespread applicability, however further multicentre studies are needed. Future research should explore the impact of PRLs on silent disability, PIRA, take into account different MS phenotypes and the topography of PRLs in prognosis.
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Affiliation(s)
- Adon Toru Asahina
- Flinders Medical Centre, Bedford Park, SA 5042, Australia; South Australia Medical Imaging, Adelaide, SA 5000, Australia; Royal Adelaide Hospital, Adelaide, SA 5000, Australia; Queen Elizabeth Hospital, Woodville, SA 5011, Australia.
| | - Joe Lu
- Flinders Medical Centre, Bedford Park, SA 5042, Australia; University of Adelaide, Adelaide, SA 5005, Australia; Royal Adelaide Hospital, Adelaide, SA 5000, Australia
| | - Pooja Chugh
- College of Medicine and Public Health, Flinders University of South Australia, SA 5042, Australia
| | - Srishti Sharma
- College of Medicine and Public Health, Flinders University of South Australia, SA 5042, Australia
| | - Prakriti Sharma
- College of Medicine and Public Health, Flinders University of South Australia, SA 5042, Australia
| | - Sheryn Tan
- University of Adelaide, Adelaide, SA 5005, Australia
| | - Joshua Kovoor
- University of Adelaide, Adelaide, SA 5005, Australia; Royal Adelaide Hospital, Adelaide, SA 5000, Australia; Queen Elizabeth Hospital, Woodville, SA 5011, Australia
| | - Brandon Stretton
- University of Adelaide, Adelaide, SA 5005, Australia; Royal Adelaide Hospital, Adelaide, SA 5000, Australia; Queen Elizabeth Hospital, Woodville, SA 5011, Australia
| | - Aashray Gupta
- University of Adelaide, Adelaide, SA 5005, Australia; Gold Coast University Hospital, Southport, QLD 4215, Australia
| | - Annabel Sorby-Adams
- University of Adelaide, Adelaide, SA 5005, Australia; Department of Neurology and the Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02138, USA
| | - Rudy Goh
- University of Adelaide, Adelaide, SA 5005, Australia; Royal Adelaide Hospital, Adelaide, SA 5000, Australia; Lyell McEwin Hospital, Elizabeth Vale, SA 5112, Australia
| | - Adil Harroud
- McGill University, Montreal, Quebec H3A 0G4, Canada
| | - Margareta A Clarke
- Mental Health and Clinical Neurosciences Academic Unit, School of Medicine, University of Nottingham, Nottingham, UK
| | - Nikos Evangelou
- Mental Health and Clinical Neurosciences Academic Unit, School of Medicine, University of Nottingham, Nottingham, UK
| | - Sandy Patel
- South Australia Medical Imaging, Adelaide, SA 5000, Australia
| | - Andrew Dwyer
- College of Medicine and Public Health, Flinders University of South Australia, SA 5042, Australia; South Australia Medical Imaging, Adelaide, SA 5000, Australia; South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia
| | - Marc Agzarian
- College of Medicine and Public Health, Flinders University of South Australia, SA 5042, Australia; South Australia Medical Imaging, Adelaide, SA 5000, Australia
| | - Stephen Bacchi
- Flinders Medical Centre, Bedford Park, SA 5042, Australia; College of Medicine and Public Health, Flinders University of South Australia, SA 5042, Australia; Royal Adelaide Hospital, Adelaide, SA 5000, Australia; Department of Neurology and the Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02138, USA
| | - Mark Slee
- College of Medicine and Public Health, Flinders University of South Australia, SA 5042, Australia
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Margoni M, Preziosa P, Pagani E, Storelli L, Gueye M, Moiola L, Filippi M, Rocca MA. Assessment of central vein sign and paramagnetic rim lesions in pediatric multiple sclerosis. Ann Clin Transl Neurol 2024; 11:3031-3036. [PMID: 39291789 PMCID: PMC11572724 DOI: 10.1002/acn3.52208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 08/19/2024] [Accepted: 08/27/2024] [Indexed: 09/19/2024] Open
Abstract
The evaluation of white matter lesions (WMLs) showing the central vein sign (CVS) and paramagnetic rim lesions (PRLs) has been suggested to enhance the diagnostic work-up of adult multiple sclerosis (MS). We aimed to evaluate the fulfillment of different CVS criteria and the added value of PRLs in 22 pediatric MS patients. Eleven patients (50%) fulfilled the 40%-rule threshold. Nineteen (86%) patients had ≥3 CVS+ WMLs or ≥1 PRL, whereas 17 (77%) had ≥6 CVS+ WMLs or ≥1 PRL. A simplified CVS-based approach, with the combined evaluation of ≥1 PRL in patients with ≥6 CVS+ WMLs, may improve MS diagnosis in pediatric patients.
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Affiliation(s)
- Monica Margoni
- Neuroimaging Research Unit, Division of NeuroscienceIRCCS San Raffaele Scientific InstituteMilanItaly
- Neurology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
- Neurorehabilitation UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of NeuroscienceIRCCS San Raffaele Scientific InstituteMilanItaly
- Neurology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
- Vita‐Salute San Raffaele UniversityMilanItaly
| | - Elisabetta Pagani
- Neuroimaging Research Unit, Division of NeuroscienceIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Loredana Storelli
- Neuroimaging Research Unit, Division of NeuroscienceIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Mor Gueye
- Neuroimaging Research Unit, Division of NeuroscienceIRCCS San Raffaele Scientific InstituteMilanItaly
- Neurology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
- Vita‐Salute San Raffaele UniversityMilanItaly
| | - Lucia Moiola
- Neurology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of NeuroscienceIRCCS San Raffaele Scientific InstituteMilanItaly
- Neurology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
- Neurorehabilitation UnitIRCCS San Raffaele Scientific InstituteMilanItaly
- Vita‐Salute San Raffaele UniversityMilanItaly
- Neurophysiology ServiceIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Maria A. Rocca
- Neuroimaging Research Unit, Division of NeuroscienceIRCCS San Raffaele Scientific InstituteMilanItaly
- Neurology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
- Vita‐Salute San Raffaele UniversityMilanItaly
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Trattnig S, Hangel G, Robinson SD, Juras V, Szomolanyi P, Dal-Bianco A. Ultrahigh-field MRI: where it really makes a difference. RADIOLOGIE (HEIDELBERG, GERMANY) 2024; 64:1-8. [PMID: 37584681 PMCID: PMC11602857 DOI: 10.1007/s00117-023-01184-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/30/2023] [Indexed: 08/17/2023]
Abstract
BACKGROUND Currently, two major magnetic resonance (MR) vendors provide commercial 7‑T scanners that are approved by the Food and Drug Administration (FDA) for clinical application. There is growing interest in ultrahigh-field MRI because of the improved clinical results in terms of morphological detail, as well as functional and metabolic imaging capabilities. MATERIALS AND METHODS The 7‑T systems benefit from a higher signal-to-noise ratio, which scales supralinearly with field strength, a supralinear increase in the blood oxygenation level dependent (BOLD) contrast for functional MRI and susceptibility weighted imaging (SWI), and the chemical shift increases linearly with field strength with consequently higher spectral resolution. RESULTS In multiple sclerosis (MS), 7‑T imaging enables visualization of cortical lesions, the central vein sign, and paramagnetic rim lesions, which may be beneficial for the differential diagnosis between MS and other neuroinflammatory diseases in challenging and inconclusive clinical presentations and are seen as promising biomarkers for prognosis and treatment monitoring. The recent development of high-resolution proton MR spectroscopic imaging in clinically reasonable scan times has provided new insights into tumor metabolism and tumor grading as well as into early metabolic changes that may precede inflammatory processes in MS. This technique also improves the detection of epileptogenic foci in the brain. Multi-nuclear clinical applications, such as sodium imaging, have shown great potential for the evaluation of repair tissue quality after cartilage transplantation and in the monitoring of newly developed cartilage regenerative drugs for osteoarthritis. CONCLUSION For special clinical applications, such as SWI in MS, MR spectroscopic imaging in tumors, MS and epilepsy, and sodium imaging in cartilage repair, 7T may become a new standard.
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Affiliation(s)
- Siegfried Trattnig
- High-Field MR Center - 7T MR, Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Lazarettgasse 14, 1090, Vienna, Austria.
| | - Gilbert Hangel
- High-Field MR Center - 7T MR, Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Lazarettgasse 14, 1090, Vienna, Austria
| | - Simon D Robinson
- High-Field MR Center - 7T MR, Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Lazarettgasse 14, 1090, Vienna, Austria
| | - Vladimir Juras
- High-Field MR Center - 7T MR, Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Lazarettgasse 14, 1090, Vienna, Austria
| | - Pavol Szomolanyi
- High-Field MR Center - 7T MR, Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Lazarettgasse 14, 1090, Vienna, Austria
- Department of Imaging Methods, Institute of Measurement Science, Slovak Academy of Sciences, Dubravska cesta 9, 84104, Bratislava, Slovakia
| | - Assunta Dal-Bianco
- Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
- Medical University of Vienna, Comprehensive Center for Clinical Neurosciences & Mental Health, Vienna, Austria
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6
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Rocca MA, Preziosa P, Barkhof F, Brownlee W, Calabrese M, De Stefano N, Granziera C, Ropele S, Toosy AT, Vidal-Jordana À, Di Filippo M, Filippi M. Current and future role of MRI in the diagnosis and prognosis of multiple sclerosis. THE LANCET REGIONAL HEALTH. EUROPE 2024; 44:100978. [PMID: 39444702 PMCID: PMC11496980 DOI: 10.1016/j.lanepe.2024.100978] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 04/22/2024] [Accepted: 06/10/2024] [Indexed: 10/25/2024]
Abstract
In the majority of cases, multiple sclerosis (MS) is characterized by reversible episodes of neurological dysfunction, often followed by irreversible clinical disability. Accurate diagnostic criteria and prognostic markers are critical to enable early diagnosis and correctly identify patients with MS at increased risk of disease progression. The 2017 McDonald diagnostic criteria, which include magnetic resonance imaging (MRI) as a fundamental paraclinical tool, show high sensitivity and accuracy for the diagnosis of MS allowing early diagnosis and treatment. However, their inappropriate application, especially in the context of atypical clinical presentations, may increase the risk of misdiagnosis. To further improve the diagnostic process, novel imaging markers are emerging, but rigorous validation and standardization is still needed before they can be incorporated into clinical practice. This Series article discusses the current role of MRI in the diagnosis and prognosis of MS, while examining promising MRI markers, which could serve as reliable predictors of subsequent disease progression, helping to optimize the management of individual patients with MS. We also explore the potential of new technologies, such as artificial intelligence and automated quantification tools, to support clinicians in the management of patients. Yet, to ensure consistency and improvement in the use of MRI in MS diagnosis and patient follow-up, it is essential that standardized brain and spinal cord MRI protocols are applied, and that interpretation of results is performed by qualified (neuro)radiologists in all countries.
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Affiliation(s)
- Maria A. Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Wallace Brownlee
- Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Massimiliano Calabrese
- The Multiple Sclerosis Center of University Hospital of Verona, Department of Neurosciences and Biomedicine and Movement, Verona, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Cristina Granziera
- Department of Neurology, University Hospital Basel and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Ahmed T. Toosy
- Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Àngela Vidal-Jordana
- Servicio de Neurología, Centro de Esclerosis Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Massimiliano Di Filippo
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
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7
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Filippi M, Preziosa P, Margoni M, Rocca MA. Diagnostic Criteria for Multiple Sclerosis, Neuromyelitis Optica Spectrum Disorders, and Myelin Oligodendrocyte Glycoprotein-immunoglobulin G-associated Disease. Neuroimaging Clin N Am 2024; 34:293-316. [PMID: 38942518 DOI: 10.1016/j.nic.2024.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/30/2024]
Abstract
The diagnostic workup of multiple sclerosis (MS) has evolved considerably. The 2017 revision of the McDonald criteria shows high sensitivity and accuracy in predicting clinically definite MS in patients with a typical clinically isolated syndrome and allows an earlier MS diagnosis. Neuromyelitis optica spectrum disorders (NMOSD) and myelin oligodendrocyte glycoprotein-immunoglobulin G-associated disease (MOGAD) are recognized as separate conditions from MS, with specific diagnostic criteria. New MR imaging markers may improve diagnostic specificity for these conditions, thus reducing the risk of misdiagnosis. This study summarizes the most recent updates regarding the application of MR imaging for the diagnosis of MS, NMOSD, and MOGAD.
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Monica Margoni
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
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Rimkus CDM, Otsuka FS, Nunes DM, Chaim KT, Otaduy MCG. Central Vein Sign and Paramagnetic Rim Lesions: Susceptibility Changes in Brain Tissues and Their Implications for the Study of Multiple Sclerosis Pathology. Diagnostics (Basel) 2024; 14:1362. [PMID: 39001252 PMCID: PMC11240827 DOI: 10.3390/diagnostics14131362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 05/29/2024] [Accepted: 06/03/2024] [Indexed: 07/16/2024] Open
Abstract
Multiple sclerosis (MS) is the most common acquired inflammatory and demyelinating disease in adults. The conventional diagnostic of MS and the follow-up of inflammatory activity is based on the detection of hyperintense foci in T2 and fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) and lesions with brain-blood barrier (BBB) disruption in the central nervous system (CNS) parenchyma. However, T2/FLAIR hyperintense lesions are not specific to MS and the MS pathology and inflammatory processes go far beyond focal lesions and can be independent of BBB disruption. MRI techniques based on the magnetic susceptibility properties of the tissue, such as T2*, susceptibility-weighted images (SWI), and quantitative susceptibility mapping (QSM) offer tools for advanced MS diagnostic, follow-up, and the assessment of more detailed features of MS dynamic pathology. Susceptibility-weighted techniques are sensitive to the paramagnetic components of biological tissues, such as deoxyhemoglobin. This capability enables the visualization of brain parenchymal veins. Consequently, it presents an opportunity to identify veins within the core of multiple sclerosis (MS) lesions, thereby affirming their venocentric characteristics. This advancement significantly enhances the accuracy of the differential diagnostic process. Another important paramagnetic component in biological tissues is iron. In MS, the dynamic trafficking of iron between different cells, such as oligodendrocytes, astrocytes, and microglia, enables the study of different stages of demyelination and remyelination. Furthermore, the accumulation of iron in activated microglia serves as an indicator of latent inflammatory activity in chronic MS lesions, termed paramagnetic rim lesions (PRLs). PRLs have been correlated with disease progression and degenerative processes, underscoring their significance in MS pathology. This review will elucidate the underlying physical principles of magnetic susceptibility and their implications for the formation and interpretation of T2*, SWI, and QSM sequences. Additionally, it will explore their applications in multiple sclerosis (MS), particularly in detecting the central vein sign (CVS) and PRLs, and assessing iron metabolism. Furthermore, the review will discuss their role in advancing early and precise MS diagnosis and prognostic evaluation, as well as their utility in studying chronic active inflammation and degenerative processes.
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Affiliation(s)
- Carolina de Medeiros Rimkus
- Department of Radiology and Oncology, Hospital das Clínicas da Faculdade de Medicina da Universidade de Sao Paulo (HCFMUSP), Sao Paulo 05403-010, SP, Brazil
- Laboratory of Medical Investigation in Magnetic Resonance-44 (LIM 44), University of Sao Paulo, Sao Paulo 05403-000, SP, Brazil
- MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Location VUmc, 1081 HV Amsterdam, The Netherlands
- Instituto D'Or de Ensino e Pesquisa (IDOR), Sao Paulo 01401-002, SP, Brazil
| | - Fábio Seiji Otsuka
- Laboratory of Medical Investigation in Magnetic Resonance-44 (LIM 44), University of Sao Paulo, Sao Paulo 05403-000, SP, Brazil
| | - Douglas Mendes Nunes
- Department of Radiology and Oncology, Hospital das Clínicas da Faculdade de Medicina da Universidade de Sao Paulo (HCFMUSP), Sao Paulo 05403-010, SP, Brazil
- Grupo Fleury, Sao Paulo 04701-200, SP, Brazil
| | - Khallil Taverna Chaim
- Laboratory of Medical Investigation in Magnetic Resonance-44 (LIM 44), University of Sao Paulo, Sao Paulo 05403-000, SP, Brazil
| | - Maria Concepción Garcia Otaduy
- Department of Radiology and Oncology, Hospital das Clínicas da Faculdade de Medicina da Universidade de Sao Paulo (HCFMUSP), Sao Paulo 05403-010, SP, Brazil
- Laboratory of Medical Investigation in Magnetic Resonance-44 (LIM 44), University of Sao Paulo, Sao Paulo 05403-000, SP, Brazil
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Bower A, Makhani N. Radiologically Isolated Syndrome and the Multiple Sclerosis Prodrome in Pediatrics: Early Features of the Spectrum of Demyelination. Semin Pediatr Neurol 2023; 46:101053. [PMID: 37451751 DOI: 10.1016/j.spen.2023.101053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 05/05/2023] [Accepted: 05/07/2023] [Indexed: 07/18/2023]
Abstract
Radiologically isolated syndrome refers to the clinical scenario in which individuals have imaging concerning for multiple sclerosis and would otherwise satisfy radiographic dissemination in space criteria, but do not have any attributable signs or symptoms. Radiologically isolated syndrome has been increasingly recognized in the pediatric population and it is understood certain individuals will transition to a formal diagnosis of multiple sclerosis over time. This review aims to outline the available data within this unique population including the diagnostic criteria, epidemiology, risk factors associated with transitioning to multiple sclerosis, and the current therapeutic landscape. Radiologically isolated syndrome will also be positioned within a broader spectrum of demyelinating disease as recent data has pointed towards a likely prodromal phase that precedes a first clinical event and diagnosis of multiple sclerosis. Characterizing the radiographic features, clinical symptoms, and biomarkers that constitute this prodromal phase of multiple sclerosis would help identify patients who may most benefit from early intervention in the future.
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Affiliation(s)
- Aaron Bower
- Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Naila Makhani
- Department of Neurology, Yale School of Medicine, New Haven, CT; Department of Pediatrics, Yale School of Medicine, New Haven, CT.
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10
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Lorefice L, Mellino P, Fenu G, Cocco E. How to measure the treatment response in progressive multiple sclerosis: Current perspectives and limitations in clinical settings'. Mult Scler Relat Disord 2023; 76:104826. [PMID: 37327601 DOI: 10.1016/j.msard.2023.104826] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 06/04/2023] [Accepted: 06/09/2023] [Indexed: 06/18/2023]
Abstract
New treatment options are available for active progressive multiple sclerosis (MS), including primary and secondary progressive forms. Several pieces of evidence have recently suggested a "window of beneficial treatment opportunities," principally in the early stages of progression. However, for progressive MS, which is characterised by an inevitable tendency to get worse, it is crucial to redefine the "response to treatment" beyond the concept of "no evidence of disease activity" (NEDA-3), which was initially conceived to evaluate disease outcomes in relapsing-remitting form, albeit it is currently applied to all MS cases in clinical practice. This review examines the current perspectives and limitations in assessing the effectiveness of DMTs and disease outcomes in progressive MS, the current criteria applied in defining the response to DMTs, and the strengths and limitations of clinical scales and tools for evaluating MS evolution and patient perception. Additionally, the impact of age and comorbidities on the assessment of MS outcomes was examined.
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Affiliation(s)
- L Lorefice
- Multiple Sclerosis Center, Binaghi Hospital, ASL Cagliari, Department of Medical Sciences and Public Health, University of Cagliari, Address: via Is Guadazzonis 2, Cagliari 09126, Italy.
| | - P Mellino
- Multiple Sclerosis Center, Binaghi Hospital, ASL Cagliari, Department of Medical Sciences and Public Health, University of Cagliari, Address: via Is Guadazzonis 2, Cagliari 09126, Italy
| | - G Fenu
- Department of Neurosciences, ARNAS Brotzu, Cagliari, Italy
| | - E Cocco
- Multiple Sclerosis Center, Binaghi Hospital, ASL Cagliari, Department of Medical Sciences and Public Health, University of Cagliari, Address: via Is Guadazzonis 2, Cagliari 09126, Italy
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11
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Collorone S, Foster MA, Toosy AT. Advanced central nervous system imaging biomarkers in radiologically isolated syndrome: a mini review. Front Neurol 2023; 14:1172807. [PMID: 37273705 PMCID: PMC10235479 DOI: 10.3389/fneur.2023.1172807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 05/02/2023] [Indexed: 06/06/2023] Open
Abstract
Radiologically isolated syndrome is characterised by central nervous system white-matter hyperintensities highly suggestive of multiple sclerosis in individuals without a neurological history of clinical demyelinating episodes. It probably represents the pre-symptomatic phase of clinical multiple sclerosis but is poorly understood. This mini review summarises our current knowledge regarding advanced imaging techniques in radiologically isolated syndrome that provide insights into its pathobiology and prognosis. The imaging covered will include magnetic resonance imaging-derived markers of central nervous system volumetrics, connectivity, and the central vein sign, alongside optical coherence tomography-related metrics.
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Affiliation(s)
| | | | - Ahmed T. Toosy
- Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom
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12
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Margoni M, Pagani E, Preziosa P, Palombo M, Gueye M, Azzimonti M, Filippi M, Rocca MA. In vivo quantification of brain soma and neurite density abnormalities in multiple sclerosis. J Neurol 2023; 270:433-445. [PMID: 36153468 DOI: 10.1007/s00415-022-11386-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/12/2022] [Accepted: 09/13/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND Soma and neurite density imaging (SANDI) is a new biophysical model that incorporates soma in addition to neurite density, thus possibly providing more specific information about the complex pathological processes of multiple sclerosis (MS). PURPOSE To discriminate the pathological abnormalities of MS white matter (WM) lesions, normal-appearing (NA) WM and cortex and to evaluate the associations among SANDI-derived measures, clinical disability, and conventional MRI variables. METHODS Twenty healthy controls (HC) and 23 MS underwent a 3 T brain MRI. Using SANDI on diffusion-weighted sequence, the fractions of neurite (fneurite) and soma (fsoma) were assessed in WM lesions, NAWM, and cortex. RESULTS Compared to HC WM, MS NAWM showed lower fneurite (false discovery rate [FDR]-p = 0.011). In MS patients, WM lesions showed lower fneurite and fsoma compared to both HC and MS NAWM (FDR-p < 0.001 for all). In the cortex, MS patients had lower fneurite and fsoma compared to HC (FDR-p ≤ 0.009). Compared to both HC and RRMS, PMS patients had lower fneurite in NAWM (vs HC: FDR-p < 0.001; vs RRMS: FDR-p = 0.003) and cortex (vs HC: FDR-p < 0.001; vs RRMS: p = 0.031, not surviving FDR correction), and lower cortical fsoma (vs HC: FDR-p < 0.001; vs RRMS: FDR-p = 0.009). Compared to HC, PMS also showed a higher fsoma in NAWM (FDR-p = 0.015). Fneurite and fsoma in the different brain compartments were correlated with age, phenotype, disease duration, disability, WM lesion volumes, normalized brain, cortical, and WM volumes (r from - 0.761 to 0.821, FDR-p ≤ 0.4). CONCLUSIONS SANDI may represent a clinically relevant model to discriminate different neurodegenerative phenomena that gradually accumulate through MS disease course.
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Affiliation(s)
- Monica Margoni
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Elisabetta Pagani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Marco Palombo
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, UK
- School of Computer Science and Informatics, Cardiff University, Cardiff, UK
| | - Mor Gueye
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Matteo Azzimonti
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Maria Assunta Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
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13
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Cerebral Iron Deposition in Neurodegeneration. Biomolecules 2022; 12:biom12050714. [PMID: 35625641 PMCID: PMC9138489 DOI: 10.3390/biom12050714] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 05/12/2022] [Accepted: 05/13/2022] [Indexed: 02/04/2023] Open
Abstract
Disruption of cerebral iron regulation appears to have a role in aging and in the pathogenesis of various neurodegenerative disorders. Possible unfavorable impacts of iron accumulation include reactive oxygen species generation, induction of ferroptosis, and acceleration of inflammatory changes. Whole-brain iron-sensitive magnetic resonance imaging (MRI) techniques allow the examination of macroscopic patterns of brain iron deposits in vivo, while modern analytical methods ex vivo enable the determination of metal-specific content inside individual cell-types, sometimes also within specific cellular compartments. The present review summarizes the whole brain, cellular, and subcellular patterns of iron accumulation in neurodegenerative diseases of genetic and sporadic origin. We also provide an update on mechanisms, biomarkers, and effects of brain iron accumulation in these disorders, focusing on recent publications. In Parkinson’s disease, Friedreich’s disease, and several disorders within the neurodegeneration with brain iron accumulation group, there is a focal siderosis, typically in regions with the most pronounced neuropathological changes. The second group of disorders including multiple sclerosis, Alzheimer’s disease, and amyotrophic lateral sclerosis shows iron accumulation in the globus pallidus, caudate, and putamen, and in specific cortical regions. Yet, other disorders such as aceruloplasminemia, neuroferritinopathy, or Wilson disease manifest with diffuse iron accumulation in the deep gray matter in a pattern comparable to or even more extensive than that observed during normal aging. On the microscopic level, brain iron deposits are present mostly in dystrophic microglia variably accompanied by iron-laden macrophages and in astrocytes, implicating a role of inflammatory changes and blood–brain barrier disturbance in iron accumulation. Options and potential benefits of iron reducing strategies in neurodegeneration are discussed. Future research investigating whether genetic predispositions play a role in brain Fe accumulation is necessary. If confirmed, the prevention of further brain Fe uptake in individuals at risk may be key for preventing neurodegenerative disorders.
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14
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Portaccio E, Bellinvia A, Fonderico M, Pastò L, Razzolini L, Totaro R, Spitaleri D, Lugaresi A, Cocco E, Onofrj M, Di Palma F, Patti F, Maimone D, Valentino P, Confalonieri P, Protti A, Sola P, Lus G, Maniscalco GT, Brescia Morra V, Salemi G, Granella F, Pesci I, Bergamaschi R, Aguglia U, Vianello M, Simone M, Lepore V, Iaffaldano P, Filippi M, Trojano M, Amato MP. Progression is independent of relapse activity in early multiple sclerosis: a real-life cohort study. Brain 2022; 145:2796-2805. [PMID: 35325059 DOI: 10.1093/brain/awac111] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 02/12/2022] [Accepted: 03/04/2022] [Indexed: 11/13/2022] Open
Abstract
Disability accrual in multiple sclerosis may occur as relapse-associated worsening or progression independent of relapse activity. The role of progression independent of relapse activity in early MS is yet to be established. The objective of this multicentre, observational, retrospective cohort study was to investigate the contribution of relapse-associated worsening and progression independent of relapse activity to confirmed disability accumulation in patients with clinically isolated syndrome and early relapsing-remitting multiple sclerosis, assessed within one year from onset and with follow-up >/= 5 years (n = 5169). Data were extracted from the Italian Multiple Sclerosis Register. Confirmed disability accumulation was defined by an increase in Expanded Disability Status Scale score confirmed at 6 months, and classified per temporal association with relapses. Factors associated with progression independent of relapse activity and relapse-associated worsening were assessed using multivariable Cox regression models. Over a follow-up period of 11.5 ± 5.5 years, progression independent of relapse activity occurred in 1427 (27.6%) and relapse-associated worsening in 922 (17.8%) patients. Progression independent of relapse activity was associated with older age at baseline (HR = 1.19; 95CI 1.13-1.25, p < 0.001), having a relapsing-remitting course at baseline (HR = 1.44; 95CI 1.28-1.61, p < 0.001), longer disease duration at baseline (HR = 1.56; 95%CI 1.28-1.90, p < 0.001), lower Expanded Disability Status Scale at baseline (HR = 0.92; 95CI 0.88-0.96, p < 0.001), lower number of relapses before the event (HR = 0.76; 95CI 0.73-0.80, p < 0.001). Relapse-associated worsening was associated with younger age at baseline (HR = 0.87; 95CI 0.81-0.93, p < 0.001), having a relapsing-remitting course at baseline (HR = 1.55; 95CI 1.35-1.79, p < 0.001), lower Expanded Disability Status Scale at baseline (HR = 0.94; 95CI 0.89-0.99, p = 0.017), higher number of relapses before the event (HR = 1.04; 95CI 1.01-1.07, p < 0.001). Longer exposure to disease modifying drugs was associated with a lower risk of both progression independent of relapse activity and relapse-associated worsening (p < 0.001). This study provides evidence that in early relapsing-onset multiple sclerosis cohort, progression independent of relapse activity was an important contributor to confirmed disability accumulation. Our findings indicate that insidious progression appears even in the earliest phases of the disease, suggesting that inflammation and neurodegeneration can represent a single disease continuum, in which age is one of the main determinants of disease phenomenology.
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Affiliation(s)
- Emilio Portaccio
- University of Florence, Department of NEUROFARBA, Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Department of Neurology, Florence, Italy
| | - Angelo Bellinvia
- University of Florence, Department of NEUROFARBA, Florence, Italy
| | - Mattia Fonderico
- University of Florence, Department of NEUROFARBA, Florence, Italy
| | - Luisa Pastò
- University of Florence, Department of NEUROFARBA, Florence, Italy
| | | | - Rocco Totaro
- San Salvatore Hospital, Demyelinating Disease Center, L'Aquila, Italy
| | - Daniele Spitaleri
- AORN San G. Moscati di Avellino, Department of Neurology, Avellino, Italy
| | - Alessandra Lugaresi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOSI Riabilitazione Sclerosi Multipla, Bologna, Italy.,Università di Bologna, Dipartimento di Scienze Biomediche e Neuromotorie, Bologna, Italy
| | - Eleonora Cocco
- University of Cagliari, Department of Medical Science and Public health, Centro Sclerosi Multipla, Cagliari, Italy
| | - Marco Onofrj
- University G. d'Annunzio di Chieti-Pescara, Neuroscience, Imaging and Clinical Sciences, Chieti, Italy
| | - Franco Di Palma
- ASST Lariana Ospedale S. Anna, Department of Neurology, Como, Italy
| | - Francesco Patti
- University of Catania, Department of Medical and Surgical Sciences and Advanced Technologies "G.F. Ingrassia", Catania, Italy
| | - Davide Maimone
- Ospedale Garibaldi Centro, Department of Neurology, Catania, Italy
| | - Paola Valentino
- Institute of Neurology, University "Magna Graecia", Catanzaro, Italy
| | - Paolo Confalonieri
- Fondazione IRCCS Istituto Neurologico C. Besta, Neuroimmunology Unit, Milan, Italy
| | | | - Patrizia Sola
- University of Modena and Reggio Emilia, Department of Neurology, Modena, Italy
| | - Giacomo Lus
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
| | | | - Vincenzo Brescia Morra
- Federico II University, Naples, Multiple Sclerosis Clinical Care and Research Center, Department of Neuroscience (NSRO), Naples, Italy
| | - Giuseppe Salemi
- University of Palermo, Department of Biomedicine, Neuroscience and Advanced Diagnostics, Palermo, Italy
| | - Franco Granella
- University of Parma, Unit of Neurosciences, Department of Medicine and Surgery, Parma, Italy
| | - Ilaria Pesci
- Ospedale VAIO di Fidenza AUSL PR, Department of Neurology, Fidenza, Italy
| | | | - Umberto Aguglia
- Magna Graecia University of Catanzaro, Department of Medical and Surgical Sciences, Catanzaro, Italy
| | - Marika Vianello
- Unit of Neurology, Ca' Fancello Hospital, AULSS2, Treviso, Italy
| | - Marta Simone
- University 'Aldo Moro' of Bari, Child Neuropsychiatric Unit, Department of Biomedical Sciences and Human Oncology, Bari, Italy
| | - Vito Lepore
- Public Health Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Pietro Iaffaldano
- University of Bari Aldo Moro, Department of Basic Medical Sciences, Neurosciences and Sense Organs, Bari, Italy
| | - Massimo Filippi
- San Raffaele Scientific Institute; Vita-Salute San Raffaele University, Milan, Italy.,Neurology Unit and MS Center, IRCCS San Raffaele Scientific Institute; Neuroimaging Research Unit, Division of Neuroscience; Neurorehabilitation Unit and Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria Trojano
- University of Bari Aldo Moro, Department of Basic Medical Sciences, Neurosciences and Sense Organs, Bari, Italy
| | - Maria Pia Amato
- University of Florence, Department of NEUROFARBA, Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Department of Neurology, Florence, Italy
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15
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Preziosa P, Pagani E, Meani A, Moiola L, Rodegher M, Filippi M, Rocca MA. Slowly Expanding Lesions Predict 9-Year Multiple Sclerosis Disease Progression. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2022; 9:9/2/e1139. [PMID: 35105685 PMCID: PMC8808355 DOI: 10.1212/nxi.0000000000001139] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 12/15/2021] [Indexed: 11/15/2022]
Abstract
Background and Objectives Chronic active lesions contribute to multiple sclerosis (MS) severity, but their association with long-term disease progression has not been evaluated yet. White matter (WM) lesions showing linear expansion over time on serial T1- and T2-weighted scans (i.e., slowly expanding lesions [SELs]) have been proposed as a marker of chronic inflammation. In this study, we assessed whether SEL burden and microstructural abnormalities were associated with Expanded Disability Status Scale (EDSS) score worsening and secondary progressive (SP) conversion at 9.1-year follow-up in patients with relapsing-remitting (RR) MS. Methods In 52 patients with RRMS, SELs were identified among WM lesions by linearly fitting the Jacobian of the nonlinear deformation field between time points obtained combining 3T brain T1- and T2-weighted scans acquired at baseline and months 6, 12, and 24. Logistic regression analysis was applied to investigate the associations of SEL number, volume, magnetization transfer ratio (MTR), and T1-weighted signal intensity with disability worsening (i.e., EDSS score increase) and SP conversion after a median follow-up of 9.1 years. Results At follow-up, 20/52 (38%) patients with MS showed EDSS score worsening; 13/52 (25%) showed SP conversion. A higher baseline EDSS score (for each point higher: OR = 3.15 [95% CI = 1.61; 8.38], p = 0.003), a higher proportion of SELs among baseline lesions (for each % increase: OR = 1.22 [1.04; 1.58], p = 0.04), and lower baseline MTR values of SELs (for each % higher: OR = 0.66 [0.41; 0.92], p = 0.033) were significant independent predictors of EDSS score worsening at follow-up (C-index = 0.892). A higher baseline EDSS score (for each point higher: OR = 6.37 [1.98; 20.53], p = 0.002) and lower baseline MTR values of SELs (for each % higher: OR = 0.48 [0.25; 0.89], p = 0.02) independently predicted SPMS conversion (C-index = 0.947). Discussion The proportion of SELs is associated with MS progression after 9 years. More severe SEL microstructural abnormalities independently predict EDSS score worsening and SPMS conversion. The quantification of SEL burden and damage using T1-, T2-weighted, and MTR sequences may identify patients with RRMS at a higher risk of long-term disability progression and SPMS conversion. Classification of Evidence This study provides Class III evidence that in patients with RRMS starting treatment with natalizumab or fingolimod, the proportion of SELs on brain MRI was associated with EDSS score worsening and SPMS conversion at 9-year follow-up.
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Affiliation(s)
- Paolo Preziosa
- From the Neuroimaging Research Unit (P.P., E.P., A.M., M.F., M.A.R.), Division of Neuroscience; Neurology Unit (P.P., L.M., M.R., M.F., M.A.R.); Neurorehabilitation Unit (M.F.); Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute; and Vita-Salute San Raffaele University (M.F., M.A.R.); Milan, Italy
| | - Elisabetta Pagani
- From the Neuroimaging Research Unit (P.P., E.P., A.M., M.F., M.A.R.), Division of Neuroscience; Neurology Unit (P.P., L.M., M.R., M.F., M.A.R.); Neurorehabilitation Unit (M.F.); Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute; and Vita-Salute San Raffaele University (M.F., M.A.R.); Milan, Italy
| | - Alessandro Meani
- From the Neuroimaging Research Unit (P.P., E.P., A.M., M.F., M.A.R.), Division of Neuroscience; Neurology Unit (P.P., L.M., M.R., M.F., M.A.R.); Neurorehabilitation Unit (M.F.); Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute; and Vita-Salute San Raffaele University (M.F., M.A.R.); Milan, Italy
| | - Lucia Moiola
- From the Neuroimaging Research Unit (P.P., E.P., A.M., M.F., M.A.R.), Division of Neuroscience; Neurology Unit (P.P., L.M., M.R., M.F., M.A.R.); Neurorehabilitation Unit (M.F.); Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute; and Vita-Salute San Raffaele University (M.F., M.A.R.); Milan, Italy
| | - Mariaemma Rodegher
- From the Neuroimaging Research Unit (P.P., E.P., A.M., M.F., M.A.R.), Division of Neuroscience; Neurology Unit (P.P., L.M., M.R., M.F., M.A.R.); Neurorehabilitation Unit (M.F.); Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute; and Vita-Salute San Raffaele University (M.F., M.A.R.); Milan, Italy
| | - Massimo Filippi
- From the Neuroimaging Research Unit (P.P., E.P., A.M., M.F., M.A.R.), Division of Neuroscience; Neurology Unit (P.P., L.M., M.R., M.F., M.A.R.); Neurorehabilitation Unit (M.F.); Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute; and Vita-Salute San Raffaele University (M.F., M.A.R.); Milan, Italy
| | - Maria A Rocca
- From the Neuroimaging Research Unit (P.P., E.P., A.M., M.F., M.A.R.), Division of Neuroscience; Neurology Unit (P.P., L.M., M.R., M.F., M.A.R.); Neurorehabilitation Unit (M.F.); Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute; and Vita-Salute San Raffaele University (M.F., M.A.R.); Milan, Italy.
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16
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Chaaban L, Safwan N, Moussa H, El‐Sammak S, Khoury S, Hannoun S. Central vein sign: A putative diagnostic marker for multiple sclerosis. Acta Neurol Scand 2022; 145:279-287. [PMID: 34796472 DOI: 10.1111/ane.13553] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 10/04/2021] [Accepted: 11/03/2021] [Indexed: 11/29/2022]
Abstract
The presence of a "central vein sign" (CVS) has been introduced as a biomarker for the diagnosis of multiple sclerosis (MS) and shown to have the ability to accurately differentiate MS from other white matter diseases (MS mimics). Following the development of susceptibility-based magnetic resonance venography that allowed the in vivo detection of CVS, a standard CVS definition was established by introducing the "40% rule" that assesses the number of MS lesions with CVS as a fraction of the total number of lesions to differentiate MS lesions from other types of lesions. The "50% rule," the "three-lesion criteria," and the "six-lesion criteria" were later introduced and defined. Each of these rules had high levels of sensitivity, specificity, and accuracy in differentiating MS from other diseases, which has been recognized by the Magnetic Resonance Imaging in MS (MAGNIMS) group and the Consortium of MS Centers task force. The North American Imaging in Multiple Sclerosis Cooperative even provided statements and recommendations aiming to refine, standardize and evaluate the CVS in MS. Herein, we review the existing literature on CVS and evaluate its added value in the diagnosis of MS and usefulness in differentiating it from other vasculopathies. We also review the histopathology of CVS and identify available automated CVS assessment methods as well as define the role of vascular comorbidities in the diagnosis of MS.
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Affiliation(s)
- Lara Chaaban
- Department of Agriculture and Food Sciences American University of Beirut Beirut Lebanon
| | - Nancy Safwan
- Department of Agriculture and Food Sciences American University of Beirut Beirut Lebanon
| | - Hussein Moussa
- Nehme and Therese Tohme Multiple Sclerosis Center American University of Beirut Medical Center Beirut Lebanon
| | - Sally El‐Sammak
- Nehme and Therese Tohme Multiple Sclerosis Center American University of Beirut Medical Center Beirut Lebanon
| | - Samia J. Khoury
- Nehme and Therese Tohme Multiple Sclerosis Center American University of Beirut Medical Center Beirut Lebanon
- Faculty of Medicine Abu‐Haidar Neuroscience Institute American University of Beirut Medical Center Beirut Lebanon
| | - Salem Hannoun
- Nehme and Therese Tohme Multiple Sclerosis Center American University of Beirut Medical Center Beirut Lebanon
- Medical Imaging Sciences Program Division of Health Professions Faculty of Health Sciences American University of Beirut Beirut Lebanon
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17
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Carotenuto A, Cacciaguerra L, Pagani E, Preziosa P, Filippi M, Rocca MA. Glymphatic system impairment in multiple sclerosis: relation with brain damage and disability. Brain 2021; 145:2785-2795. [DOI: 10.1093/brain/awab454] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 11/17/2021] [Accepted: 11/23/2021] [Indexed: 11/13/2022] Open
Abstract
Abstract
Recent evidences showed the existence of a central nervous system ‘waste clearance’ system, defined as glymphatic system. Glymphatic abnormalities have been described in several neurodegenerative conditions, including Alzheimer’s and Parkinson’s disease. Glymphatic function has not been thoroughly explored in multiple sclerosis, where neurodegenerative processes are intermingled with inflammatory processes.
We aimed to investigate glymphatic system function in multiple sclerosis and to evaluate its association with clinical disability, disease course, demyelination and neurodegeneration, quantified using different MRI techniques.
In this retrospective study, we enrolled 71 multiple sclerosis patients (49 relapsing-remitting and 22 progressive multiple sclerosis) and 32 age- and sex- matched healthy controls. All subjects underwent neurological and MRI assessment including high-resolution T1, T2 and double inversion recovery sequences, diffusion- and susceptibility weighted imaging. We calculated the diffusion along perivascular space index, a proxy for glymphatic function, cortical and deep gray matter volume, white and cortical gray matter lesion volume and normal appearing white matter microstructural damage.
Multiple sclerosis patients showed an overall lower diffusion along perivascular space index vs healthy controls (estimated mean difference: −0.09, P = 0.01). Both relapsing-remitting and progressive multiple sclerosis patients had lower diffusion along perivascular space index vs healthy controls (estimated mean difference: −0.06, P = 0.04 for relapsing-remitting and −0.19, P = 0.001 for progressive multiple sclerosis patients). Progressive multiple sclerosis patients showed lower diffusion along perivascular space index vs relapsing-remitting multiple sclerosis patients (estimated mean difference: −0.09, P = 0.03). In multiple sclerosis patients, lower diffusion along perivascular space index was associated with more severe clinical disability (r = −0.45, P = 0.001) and longer disease duration (r = −0.37, P = 0.002). Interestingly, we detected a negative association between diffusion along perivascular space index and disease duration in the first 4.13 years of the disease course (r = −0.38, P = 0.04) without any association thereafter (up to 34 years of disease duration). Lower diffusion along perivascular space index was associated with higher white (r = −0.36, P = 0.003) and cortical (r = −0.41, P = 0.001) lesion volume, more severe cortical (r = 0.30, P = 0.007) and deep (r = 0.42, P = 0.001) gray matter atrophy, reduced fractional anisotropy (r = 0.42, P = 0.001) and increased mean diffusivity (r = −0.45, P = 0.001) in the normal-appearing white matter.
Our results suggest that the glymphatic system is impaired in multiple sclerosis, especially in progressive stages. Impaired glymphatic function was associated with measures of both demyelination and neurodegeneration and reflects a more severe clinical disability. These findings suggest that glymphatic impairment may be a pathological mechanism underpinning multiple sclerosis. The dynamic interplay with other pathological substrates of the disease deserves further investigation.
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Affiliation(s)
- Antonio Carotenuto
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132, Milan, Italy
| | - Laura Cacciaguerra
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, 20132, Milan, Italy
- Vita-Salute San Raffaele University, 20132, Milan, Italy
| | - Elisabetta Pagani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132, Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, 20132, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, 20132, Milan, Italy
- Vita-Salute San Raffaele University, 20132, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, 20132, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, 20132, Milan, Italy
| | - Maria A. Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, 20132, Milan, Italy
- Vita-Salute San Raffaele University, 20132, Milan, Italy
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18
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Ng Kee Kwong KC, Mollison D, Meijboom R, York EN, Kampaite A, Thrippleton MJ, Chandran S, Waldman AD. The prevalence of paramagnetic rim lesions in multiple sclerosis: A systematic review and meta-analysis. PLoS One 2021; 16:e0256845. [PMID: 34495999 PMCID: PMC8425533 DOI: 10.1371/journal.pone.0256845] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 08/17/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Recent findings from several studies have shown that paramagnetic rim lesions identified using susceptibility-based MRI could represent potential diagnostic and prognostic biomarkers in multiple sclerosis (MS). Here, we perform a systematic review and meta-analysis of the existing literature to assess their pooled prevalence at lesion-level and patient-level. METHODS Both database searching (PubMed and Embase) and handsearching were conducted to identify studies allowing the lesion-level and/or patient-level prevalence of rim lesions or chronic active lesions to be calculated. Pooled prevalence was estimated using the DerSimonian-Laird random-effects model. Subgroup analysis and meta-regression were performed to explore possible sources of heterogeneity. PROSPERO registration: CRD42020192282. RESULTS 29 studies comprising 1230 patients were eligible for analysis. Meta-analysis estimated pooled prevalences of 9.8% (95% CI: 6.6-14.2) and 40.6% (95% CI: 26.2-56.8) for rim lesions at lesion-level and patient-level, respectively. Pooled lesion-level and patient-level prevalences for chronic active lesions were 12.0% (95% CI: 9.0-15.8) and 64.8% (95% CI: 54.3-74.0), respectively. Considerable heterogeneity was observed across studies (I2>75%). Subgroup analysis revealed a significant difference in patient-level prevalence between studies conducted at 3T and 7T (p = 0.0312). Meta-regression analyses also showed significant differences in lesion-level prevalence with respect to age (p = 0.0018, R2 = 0.20) and disease duration (p = 0.0018, R2 = 0.48). Other moderator analyses demonstrated no significant differences according to MRI sequence, gender and expanded disability status scale (EDSS). CONCLUSION In this study, we show that paramagnetic rim lesions may be present in an important proportion of MS patients, notwithstanding significant variation in their assessment across studies. In view of their possible clinical relevance, we believe that clear guidelines should be introduced to standardise their assessment across research centres to in turn facilitate future analyses.
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Affiliation(s)
| | - Daisy Mollison
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Rozanna Meijboom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Elizabeth N. York
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Agniete Kampaite
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Siddharthan Chandran
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Adam D. Waldman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
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19
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Preziosa P, Schoonheim MM. Ongoing Axonal Injury in Chronic Active Lesions in Multiple Sclerosis: In Vivo Quantification Using Serum Neurofilament. Neurology 2021; 97:257-258. [PMID: 34088879 DOI: 10.1212/wnl.0000000000012331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Paolo Preziosa
- From the Neuroimaging Research Unit, Division of Neuroscience (P.P.), and Neurology Unite (P.P.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Department of Anatomy and Neurosciences (M.M.S.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands
| | - Menno M Schoonheim
- From the Neuroimaging Research Unit, Division of Neuroscience (P.P.), and Neurology Unite (P.P.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Department of Anatomy and Neurosciences (M.M.S.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands.
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