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Journal articles on the topic 'Multiple Sclerosis, MRI'

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 (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 (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 (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 (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 (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 di

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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 (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 (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, et al. "Diffusion MRI in multiple sclerosis." Neurology 65, no. 10 (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 (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 (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

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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, et al. "Spinal-cord MRI in multiple sclerosis." Lancet Neurology 2, no. 9 (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 (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 (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 (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 (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 (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 (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 (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 (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 (2021): 332–47. http://dx.doi.org/10.1111/ane.13554.

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29

Filippi, Massimo, Paolo Preziosa, Brenda L. Banwell, et al. "Assessment of lesions on magnetic resonance imaging in multiple sclerosis: practical guidelines." Brain 142, no. 7 (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 defin

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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 (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

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31

Comi, Giancarlo, Letizia Leocani, Stefania Medaglini, et al. "Measuring evoked responses in multiple sclerosis." Multiple Sclerosis Journal 5, no. 4 (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 q

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32

Alroughani, Raed, and Bassem Yamout. "Multiple Sclerosis." Seminars in Neurology 38, no. 02 (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

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33

Granziera, Cristina, Jens Wuerfel, Frederik Barkhof, et al. "Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis." Brain 144, no. 5 (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 repai

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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 (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 disabilit

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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 (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 ons

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36

Gasperini, Claudio, Luca Prosperini, Mar Tintoré, et al. "Unraveling treatment response in multiple sclerosis." Neurology 92, no. 4 (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

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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 (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 (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 (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 (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 (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 (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 (2009): 283–84. http://dx.doi.org/10.1177/1352458509102997.

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45

Seze, J., S. Delalande, E. Michelin, et al. "Brain MRI in late-onset multiple sclerosis." European Journal of Neurology 12, no. 4 (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 (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 (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 (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 (2006): 475–81. http://dx.doi.org/10.1016/j.mri.2005.12.038.

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