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Journal articles on the topic 'Multiple Sclerosis, MRI'

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Author: Grafiati
Published: 10 March 2023

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1

Bermel, Robert A., and Robert J. Fox. "MRI IN MULTIPLE SCLEROSIS." CONTINUUM: Lifelong Learning in Neurology 16 (October 2010): 37–57. http://dx.doi.org/10.1212/01.con.0000389933.77036.14.

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2

Inglese, Matilde, and Maria Petracca. "MRI in multiple sclerosis." Current Opinion in Neurology 31, no. 3 (June 2018): 249–55. http://dx.doi.org/10.1097/wco.0000000000000559.

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3

Filippi, Massimo, Paolo Preziosa, and Maria A. Rocca. "MRI in multiple sclerosis." Current Opinion in Neurology 31, no. 4 (August 2018): 386–95. http://dx.doi.org/10.1097/wco.0000000000000572.

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4

Ceccarelli, Antonia, Rohit Bakshi, and Mohit Neema. "MRI in multiple sclerosis." Current Opinion in Neurology 25, no. 4 (August 2012): 402–9. http://dx.doi.org/10.1097/wco.0b013e328354f63f.

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5

Simon, Jack H. "MRI in Multiple Sclerosis." Physical Medicine and Rehabilitation Clinics of North America 16, no. 2 (May 2005): 383–409. http://dx.doi.org/10.1016/j.pmr.2005.01.012.

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6

Radü, E. W., N. Mueller-Lenke, A. Thoeni, A. Palatini, and K. Bendfeldt. "MRI in Multiple Sclerosis." Neuroradiology Journal 22, no. 1_suppl (September 2009): 43–50. http://dx.doi.org/10.1177/19714009090220s109.

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The diagnosis of Multiple Sclerosis (MS) is based on clinical findings that are characterized by sudden neurological deficits in different parts of the CNS. Dissemination of lesions in space and time is the basic criterion. MRI can demonstrate most precisely any changes in the water content of brain tissue thus making it a very sensitive diagnostic tool to detect inflammatory processes like MS plaques. The following will briefly summarize the diagnostic features and procedures and will assess the appearance of typical MS lesions, their localization and configuration, which are essential for diagnosis and follow up examinations. It will propose the preferred sequences and technical parameters for standardized baseline examinations and follow-ups.
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7

Choi, Min Yun, Chang Hyo Sol, Choon Phill Chung, Byung Soo Kim, and Byung Ho Park. "MRI findinga of multiple sclerosis." Journal of the Korean Radiological Society 29, no. 4 (1993): 627. http://dx.doi.org/10.3348/jkrs.1993.29.4.627.

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8

Lynch, S. G., J. W. Rose, W. Smoker, and J. H. Petajan. "MRI in familial multiple sclerosis." Neurology 40, no. 6 (June 1, 1990): 900. http://dx.doi.org/10.1212/wnl.40.6.900.

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9

Filippi, Massimo, and Maria A. Rocca. "Conventional MRI in Multiple Sclerosis." Journal of Neuroimaging 17 (April 2007): 3S—9S. http://dx.doi.org/10.1111/j.1552-6569.2007.00129.x.

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10

Rocca, Maria A., and Massimo Filippi. "Functional MRI in Multiple Sclerosis." Journal of Neuroimaging 17 (April 2007): 36S—41S. http://dx.doi.org/10.1111/j.1552-6569.2007.00135.x.

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11

James, Philip B. "MRI, monosclerosis, and multiple sclerosis." Lancet 359, no. 9315 (April 2002): 1436. http://dx.doi.org/10.1016/s0140-6736(02)08377-0.

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12

Alroughani, R. "Advances in multiple sclerosis MRI." Journal of the Neurological Sciences 405 (October 2019): 33. http://dx.doi.org/10.1016/j.jns.2019.10.092.

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13

Rovaris, M., A. Gass, R. Bammer, S. J. Hickman, O. Ciccarelli, D. H. Miller, and M. Filippi. "Diffusion MRI in multiple sclerosis." Neurology 65, no. 10 (November 21, 2005): 1526–32. http://dx.doi.org/10.1212/01.wnl.0000184471.83948.e0.

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14

Petracca, Maria, Lazar Fleysher, Niels Oesingmann, and Matilde Inglese. "Sodium MRI of multiple sclerosis." NMR in Biomedicine 29, no. 2 (April 6, 2015): 153–61. http://dx.doi.org/10.1002/nbm.3289.

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15

Edwards, MK, MR Farlow, and JC Stevens. "Multiple sclerosis: MRI and clinical correlation." American Journal of Roentgenology 147, no. 3 (September 1986): 571–74. http://dx.doi.org/10.2214/ajr.147.3.571.

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16

Zhang, Yunyan. "MRI Texture Analysis in Multiple Sclerosis." International Journal of Biomedical Imaging 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/762804.

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Multiple sclerosis (MS) is a complicated disease characterized by heterogeneous pathology that varies across individuals. Accurate identification and quantification of pathological changes may facilitate a better understanding of disease pathogenesis and progression and help identify novel therapies for MS patients. Texture analysis evaluates interpixel relationships that generate characteristic organizational patterns in an image, many of which are beyond the ability of visual perception. Given its promise detecting subtle structural alterations texture analysis may be an attractive means to evaluate disease activity and evolution. It may also become a new tool to assess therapeutic efficacy if technique issues are resolved and pathological correlates are further confirmed. This paper describes the concept, strategies, and considerations of MRI texture analysis; summarizes applications of texture analysis in MS as a measure of tissue integrity and its clinical relevance; then discusses potentially future directions of texture analysis in MS.
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17

Filippi, Massimo, and Federica Agosta. "Magnetization Transfer MRI in Multiple Sclerosis." Journal of Neuroimaging 17 (April 2007): 22S—26S. http://dx.doi.org/10.1111/j.1552-6569.2007.00132.x.

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18

Rovaris, Marco, and Massimo Filippi. "Diffusion Tensor MRI in Multiple Sclerosis." Journal of Neuroimaging 17 (April 2007): 27S—30S. http://dx.doi.org/10.1111/j.1552-6569.2007.00133.x.

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19

Lycklama, Geert, Alan Thompson, Massimo Filippi, David Miller, Christ Polman, Franz Fazekas, and Frederik Barkhof. "Spinal-cord MRI in multiple sclerosis." Lancet Neurology 2, no. 9 (September 2003): 555–62. http://dx.doi.org/10.1016/s1474-4422(03)00504-0.

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20

Filippi, M., and M. A. Rocca. "MRI and cognition in multiple sclerosis." Neurological Sciences 31, S2 (July 16, 2010): 231–34. http://dx.doi.org/10.1007/s10072-010-0367-5.

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21

Muccilli, Alexandra, Estelle Seyman, and Jiwon Oh. "Spinal Cord MRI in Multiple Sclerosis." Neurologic Clinics 36, no. 1 (February 2018): 35–57. http://dx.doi.org/10.1016/j.ncl.2017.08.009.

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22

Filippi, M., M. Absinta, and M. A. Rocca. "Future MRI tools in multiple sclerosis." Journal of the Neurological Sciences 331, no. 1-2 (August 2013): 14–18. http://dx.doi.org/10.1016/j.jns.2013.04.025.

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23

Banwell, B., M. Shroff, J. M. Ness, D. Jeffery, S. Schwid, and B. Weinstock-Guttman. "MRI features of pediatric multiple sclerosis." Neurology 68, Issue 16, Supplement 2 (April 16, 2007): S46—S53. http://dx.doi.org/10.1212/01.wnl.0000259406.09052.75.

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24

Sormani, M. P., M. Filippi, N. De Stefano, G. Ebers, and M. Daumer. "MRI ASANOUTCOMEIN MULTIPLE SCLEROSIS CLINICAL TRIALS." Neurology 73, no. 22 (November 30, 2009): 1932–33. http://dx.doi.org/10.1212/wnl.0b013e3181bd6b8f.

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25

Tenser, R. B., G. C. Ebers, and M. Daumer. "MRI ASANOUTCOMEIN MULTIPLE SCLEROSIS CLINICAL TRIALS." Neurology 73, no. 22 (November 30, 2009): 1933–34. http://dx.doi.org/10.1212/wnl.0b013e3181bd6baa.

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26

Reider-Groswasser, I., E. Kott, J. Benmair, M. Huberman, Y. Machtey, and I. Gelernter. "MRI parameters in multiple sclerosis patients." Neuroradiology 30, no. 3 (June 1988): 219–23. http://dx.doi.org/10.1007/bf00341832.

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27

Huws, R., A. P. W. Shubsachs, and P. J. Taylor. "Hypersexuality, Fetishism and Multiple Sclerosis." British Journal of Psychiatry 158, no. 2 (February 1991): 280–81. http://dx.doi.org/10.1192/bjp.158.2.280.

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Hypersexuality and fetishism appeared in a patient with multiple sclerosis whose MRI scan showed frontal and temporal lesions. The hypersexuality may have been the presenting symptom of the multiple sclerosis.
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28

Theodorsdottir, Asta, Pia Veldt Larsen, Helle Hvilsted Nielsen, Zsolt Illes, and Mads Henrik Ravnborg. "Multiple sclerosis impairment scale and brain MRI in secondary progressive multiple sclerosis." Acta Neurologica Scandinavica 145, no. 3 (November 19, 2021): 332–47. http://dx.doi.org/10.1111/ane.13554.

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29

Filippi, Massimo, Paolo Preziosa, Brenda L. Banwell, Frederik Barkhof, Olga Ciccarelli, Nicola De Stefano, Jeroen J. G. Geurts, et al. "Assessment of lesions on magnetic resonance imaging in multiple sclerosis: practical guidelines." Brain 142, no. 7 (June 17, 2019): 1858–75. http://dx.doi.org/10.1093/brain/awz144.

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Abstract MRI has improved the diagnostic work-up of multiple sclerosis, but inappropriate image interpretation and application of MRI diagnostic criteria contribute to misdiagnosis. Some diseases, now recognized as conditions distinct from multiple sclerosis, may satisfy the MRI criteria for multiple sclerosis (e.g. neuromyelitis optica spectrum disorders, Susac syndrome), thus making the diagnosis of multiple sclerosis more challenging, especially if biomarker testing (such as serum anti-AQP4 antibodies) is not informative. Improvements in MRI technology contribute and promise to better define the typical features of multiple sclerosis lesions (e.g. juxtacortical and periventricular location, cortical involvement). Greater understanding of some key aspects of multiple sclerosis pathobiology has allowed the identification of characteristics more specific to multiple sclerosis (e.g. central vein sign, subpial demyelination and lesional rims), which are not included in the current multiple sclerosis diagnostic criteria. In this review, we provide the clinicians and researchers with a practical guide to enhance the proper recognition of multiple sclerosis lesions, including a thorough definition and illustration of typical MRI features, as well as a discussion of red flags suggestive of alternative diagnoses. We also discuss the possible place of emerging qualitative features of lesions which may become important in the near future.
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30

Lattanzi, Simona, Francesco Logullo, Paolo Di Bella, Mauro Silvestrini, and Leandro Provinciali. "Multiple sclerosis, solitary sclerosis or something else?" Multiple Sclerosis Journal 20, no. 14 (May 22, 2014): 1819–24. http://dx.doi.org/10.1177/1352458514535129.

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Background: Inflammatory demyelinating diseases of the central nervous system represent a wide spectrum of entities and their classification cannot currently be regarded complete. Objective: Our aim is to describe a series of patients presenting with progressive myelopathy associated to a single demyelinating lesion of the spinal cord. Methods: We identified the patients affected by chronic progressive spinal cord dysfunction related to a single spinal cord lesion not satisfying the diagnostic criteria for any of the currently defined diseases. Results: Seven females and one male were included. The median age at onset of symptoms was 53 years (range 42–68) and the median follow-up was 8 years (range 5–12). Brain and spinal magnetic resonance imaging (MRI) scans detected only one single, circumscribed, T2 hyperintense, non-longitudinally extensive lesion at level of cervico-medullary junction or cervical cord, in the absence of Gadolinium enhancement or swelling. Cerebrospinal fluid (CSF) examination displayed neither oligoclonal bands nor raised IgG index. A response to immunosuppressive agents was observed in some of the patients. Serial control brain and spinal MRI did not reveal accumulation of new lesions. Conclusion: New entities or variants should be included among the inflammatory demyelinating diseases of the central nervous system, and their characterization may have relevant prognostic and treatment implications.
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31

Comi, Giancarlo, Letizia Leocani, Stefania Medaglini, Tiziana Locatelli, Vittorio Martinelli, Giuseppe Santuccio, and Paolo Rossi. "Measuring evoked responses in multiple sclerosis." Multiple Sclerosis Journal 5, no. 4 (August 1999): 263–67. http://dx.doi.org/10.1177/135245859900500412.

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Evoked potentials (EPs) have been widely utilised in Multiple Sclerosis (MS) patients to demonstrate the involvement of sensory and motor pathways. Their diagnostic value is based on the ability to reveal clinically silent lesions and to objectivate the central nervous system damage in patients who complain frequently of vague and indefinite disturbances which frequently occurs in the early phases of the disease. The advent of magnetic resonance imaging (MRI) techniques has greatly reduced the clinical utilisation of EPs, which is not fully justifiable, as the information provided by EPs are quite different from those provided by MRI. The abnormalities of evoked responses reflect the global damage of the evoked nervous pathway and are significantly correlated with the clinical findings, while the vast majority of MRI lesions are not associated to symptoms and signs. Transversal and longitudinal studies have demonstrated that EP changes in MS are more strictly related to disability than MRI lesion burden. On the contrary, MRI is more sensitive than EPs in revealing the disease activity. Evoked responses modifications observed in MS are not disease-specific; moreover longitudinal studies showed latency and morphology changes of evoked responses not always related to clinical changes. Such a dissociation can be explained both by technical factors and by subclinical disease activity. To reduce the negative impact of technical aspects, only reproducible parameters of the evoked responses should be used to monitor disease evolution and therapeutic interventions.
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32

Alroughani, Raed, and Bassem Yamout. "Multiple Sclerosis." Seminars in Neurology 38, no. 02 (April 2018): 212–25. http://dx.doi.org/10.1055/s-0038-1649502.

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AbstractMultiple sclerosis (MS) is a chronic central nervous system inflammatory disease of autoimmune etiology, mediated by activated T cells with evolving evidence of a significant contribution from B cells and cells of the innate immune system. The disease is thought to be due to a complex interaction between different genetic and environmental factors. The prevalence of MS is rising all over the world, due on one hand to earlier diagnosis and prolonged survival, and on the other to a true increase in incidence of the disease. The diagnosis of MS remains clinical despite recent advances in diagnostics and relies on demonstrating dissemination in space and time while excluding alternative diagnoses. The Mc Donald diagnostic criteria, with their recent 2017 revision, are currently widely accepted in the MS community. Although no cure is yet available, many disease-modifying therapies (DMTs) have shown different levels of efficacy in preventing relapses, accumulation of lesions on magnetic resonance imaging (MRI), and disability progression. Current treatment strategies include gradual escalation based on clinical and radiological criteria that determine treatment response, or initial induction with high efficacy DMTs especially in patients with an early aggressive course.
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33

Granziera, Cristina, Jens Wuerfel, Frederik Barkhof, Massimiliano Calabrese, Nicola De Stefano, Christian Enzinger, Nikos Evangelou, et al. "Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis." Brain 144, no. 5 (May 1, 2021): 1296–311. http://dx.doi.org/10.1093/brain/awab029.

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Abstract Quantitative MRI provides biophysical measures of the microstructural integrity of the CNS, which can be compared across CNS regions, patients, and centres. In patients with multiple sclerosis, quantitative MRI techniques such as relaxometry, myelin imaging, magnetization transfer, diffusion MRI, quantitative susceptibility mapping, and perfusion MRI, complement conventional MRI techniques by providing insight into disease mechanisms. These include: (i) presence and extent of diffuse damage in CNS tissue outside lesions (normal-appearing tissue); (ii) heterogeneity of damage and repair in focal lesions; and (iii) specific damage to CNS tissue components. This review summarizes recent technical advances in quantitative MRI, existing pathological validation of quantitative MRI techniques, and emerging applications of quantitative MRI to patients with multiple sclerosis in both research and clinical settings. The current level of clinical maturity of each quantitative MRI technique, especially regarding its integration into clinical routine, is discussed. We aim to provide a better understanding of how quantitative MRI may help clinical practice by improving stratification of patients with multiple sclerosis, and assessment of disease progression, and evaluation of treatment response.
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34

Miller, DH. "Guidelines for MRI monitoring of the treatment of multiple sclerosis: recommendations of the US Multiple Sclerosis Society's task force." Multiple Sclerosis Journal 1, no. 6 (June 1996): 335–38. http://dx.doi.org/10.1177/135245859600100610.

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In relapsing-remitting and secondary progressive multiple sclerosis (MS), MRI activity on monthly brain scans is a sensitive primary outcome measure in short term exploratory treatment trials. Because conventional MRI findings have a limited correlation with disability, the primary outcome in definitive trials should be clinical, although MRI is useful in providing an index of pathological progression. In trials aimed at preventing evolution from a clinically isolated syndrome to MS, MRI findings should be used in the entry criteria. The likely pathological substrates of irreversible disability are demyelination and axonal loss. Putative MR markers for these pathologies appear to relate more closely to disability than conventional MRI findings. Further technical developments should lead to improved quantitation, pathological specificity and clinical correlations.
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35

Díaz-Sánchez, María, S. Mayra Gómez-Moreno, M. Asunción Morales-Otal, Ana Ramos-González, and Julián Benito-León. "Accuracy of MRI criteria for dissemination in space for the diagnosis of multiple sclerosis in patients with clinically isolated syndromes." Multiple Sclerosis Journal 16, no. 5 (March 1, 2010): 576–80. http://dx.doi.org/10.1177/1352458510362996.

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The MRI Barkhof—Tintoré criteria have proved to be highly specific for predicting conversion to clinically definite multiple sclerosis in patients with clinically isolated syndromes (CIS), but lacked an optimal sensitivity. In order to improve the accuracy of early multiple sclerosis diagnosis, new imaging criteria have been proposed by Swanton et al. We aimed to evaluate the accuracy of both MRI criteria for dissemination in space to predict conversion from CIS to clinically definite multiple sclerosis. We studied 79 CIS patients with baseline MRI performed within the first 3 months after onset. The sensitivity and specificity of both MRI criteria to predict conversion to clinically definite multiple sclerosis were analysed. The time to develop clinically definite multiple sclerosis from CIS onset, according to each imaging criteria, was studied by Kaplan—Meier survival curves. The overall conversion rate was 75.7% with a median follow-up of 57 months. Barkhof— Tintoré’s criteria showed a sensitivity of 71.9% and a specificity of 77.2%. Swanton’s criteria had a sensitivity of 91.2% and a specificity of 68.1%. Both MRI criteria identified CIS patients with higher risk and faster conversion to clinically definite multiple sclerosis. Swanton’s criteria are simpler and more sensitive than Barkhof—Tintoré‘s criteria, with a slight decrease in specificity. These results reinforce their use in multiple sclerosis diagnosis.
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36

Gasperini, Claudio, Luca Prosperini, Mar Tintoré, Maria Pia Sormani, Massimo Filippi, Jordi Rio, Jacqueline Palace, et al. "Unraveling treatment response in multiple sclerosis." Neurology 92, no. 4 (December 26, 2018): 180–92. http://dx.doi.org/10.1212/wnl.0000000000006810.

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Over the last few decades, the improved diagnostic criteria, the wide use of MRI, and the growing availability of effective pharmacologic treatments have led to substantial advances in the management of multiple sclerosis (MS). The importance of early diagnosis and treatment is now well-established, but there is still no consensus on how to define and monitor response to MS treatments. In particular, the clinical relevance of the detection of minimal MRI activity is controversial and recommendations on how to define and monitor treatment response are warranted. An expert panel of the Magnetic Resonance Imaging in MS Study Group analyzed and discussed published studies on treatment response in MS. The evolving concept of no evidence of disease activity and its effect on predicting long-term prognosis was examined, including the option of defining a more realistic target for daily clinical practice: minimal evidence of disease activity. Advantages and disadvantages associated with the use of MRI activity alone and quantitative scoring systems combining on-treatment clinical relapses and MRI active lesions to detect treatment response in the real-world setting were also discussed. While most published studies on this topic involved patients treated with interferon-β, special attention was given to more recent studies providing evidence based on treatment with other and more efficacious oral and injectable drugs. Finally, the panel identified future directions to pursue in this research field.
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37

HASHIGUCHI, Shuji, Nozomi OGASAWARA, Hideki MINE, and Yasunori KAWACHI. "Multiple Sclerosis with Caudate Lesions on MRI." Internal Medicine 40, no. 4 (2001): 358–62. http://dx.doi.org/10.2169/internalmedicine.40.358.

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38

Schippling, Sven. "MRI for multiple sclerosis diagnosis and prognosis." Neurodegenerative Disease Management 7, no. 6s (November 2017): 27–29. http://dx.doi.org/10.2217/nmt-2017-0038.

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39

Millichap, J. Gordon. "Cognitive Impairment in Multiple Sclerosis and MRI." Pediatric Neurology Briefs 25, no. 1 (January 1, 2011): 7. http://dx.doi.org/10.15844/pedneurbriefs-25-1-9.

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40

Jasek, Łukasz, Janusz Śmigielski, and Małgorzata Siger. "Late onset multiple sclerosis — multiparametric MRI characteristics." Neurologia i Neurochirurgia Polska 54, no. 3 (June 30, 2020): 265–71. http://dx.doi.org/10.5603/pjnns.a2020.0036.

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41

Jalal, Hicham, Amine El Masloumi, Anass Chehboun, Meryem Ouali Idrissi, and Najat Cherif Idrissi El Ganouni. "Role of MRI in Childhood Multiple Sclerosis." Scholars Journal of Medical Case Reports 08, no. 02 (February 20, 2020): 251–53. http://dx.doi.org/10.36347/sjmcr.2020.v08i02.042.

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42

Wolinsky, JS. "MRI aspects of secondary progressive multiple sclerosis." Multiple Sclerosis Journal 8, no. 1_suppl (September 2002): 85–87. http://dx.doi.org/10.1177/1352458502008001177.

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43

Wolinsky, J. S. "MRI aspects of secondary progressive multiple sclerosis." Multiple Sclerosis Journal 8, no. 1 (February 2002): 85–87. http://dx.doi.org/10.1177/135245850200800118.

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44

Fazekas, F., and A. Thompson. "New MRI techniques and “aggressive” multiple sclerosis." Multiple Sclerosis Journal 15, no. 3 (January 19, 2009): 283–84. http://dx.doi.org/10.1177/1352458509102997.

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45

Seze, J., S. Delalande, E. Michelin, J. Y. Gauvrit, M. A. Mackowiak, D. Ferriby, T. Stojkovic, L. Defebvre, J. P. Pruvo, and P. Vermersch. "Brain MRI in late-onset multiple sclerosis." European Journal of Neurology 12, no. 4 (April 2005): 241–44. http://dx.doi.org/10.1111/j.1468-1331.2004.01103.x.

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46

Agosta, Federica, and Massimo Filippi. "MRI of Spinal Cord in Multiple Sclerosis." Journal of Neuroimaging 17 (April 2007): 46S—49S. http://dx.doi.org/10.1111/j.1552-6569.2007.00137.x.

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47

Louapre, C. "Conventional and advanced MRI in multiple sclerosis." Revue Neurologique 174, no. 6 (June 2018): 391–97. http://dx.doi.org/10.1016/j.neurol.2018.03.009.

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48

Chen, J. J., F. Carletti, V. Young, D. Mckean, and G. Quaghebeur. "MRI differential diagnosis of suspected multiple sclerosis." Clinical Radiology 71, no. 9 (September 2016): 815–27. http://dx.doi.org/10.1016/j.crad.2016.05.010.

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49

Poser, CharlesM. "MRI of spinal cord in multiple sclerosis." Lancet 341, no. 8851 (April 1993): 1025. http://dx.doi.org/10.1016/0140-6736(93)91115-3.

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50

Guttmann, Charles R. G., Dominik S. Meier, and Christopher M. Holland. "Can MRI reveal phenotypes of multiple sclerosis?" Magnetic Resonance Imaging 24, no. 4 (May 2006): 475–81. http://dx.doi.org/10.1016/j.mri.2005.12.038.

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