Literature DB >> 26538845

Systematic imaging review: Multiple Sclerosis.

Aparna Katdare1, Meher Ursekar1.   

Abstract

Multiple sclerosis (MS) is a chronic, inflammatory disease of the central nervous system characterised by immune-mediated demyelination, and is a leading cause of neurological disability worldwide. It has a wide spectrum of clinical presentations which overlap with other neurological conditions many times. Further, the radiological array of findings in MS can also be confused for multiple other conditions, leading to the need to look for the more typical findings, and interpret these in close conjunction with the clinical picture including temporal evolution. This review aims to revisit the MRI findings in MS, including recent innovations in imaging, and to help distinguish MS from its mimics.

Entities:  

Keywords:  MRI; MS; mimics

Year:  2015        PMID: 26538845      PMCID: PMC4604694          DOI: 10.4103/0972-2327.164821

Source DB:  PubMed          Journal:  Ann Indian Acad Neurol        ISSN: 0972-2327            Impact factor:   1.383


Introduction

Multiple sclerosis (MS) is a chronic, inflammatory disease of the central nervous system characterised by immune-mediated demyelination. It has for long been recognised among the leading causes of neurological disability in the West. Its diagnosis in India has also been reported to be on the rise, with the Multiple Sclerosis International Federation estimating a prevalence of 3/100000 for India.[1]

Clinical Profile

Typically a disease of young adults (although onset in childhood and late adulthood is well-recognised), MS has a myriad clinical course in different individuals, leading to terminologies which can be slightly confusing. In about 85% of cases, there is a “relapsing-remitting (RR)” course, with presence of a clinically isolated syndrome (CIS) of the optic nerve, brain stem or spinal cord.[2] When the deficits become progressive without remissions, the term “secondary progressive (SP)"MS is used.[3] If MS is progressive right from the onset, the term used is “Primary Progressive (PP)”MS.[4] A fourth rare variety is the “progressive relapsing (PR)”MS, which is characterised by progressive course with acute relapses.[3] In “Benign” MS (BMS), there is no or minimal disability for a long period after the initial episode,[5] while “malignant” MS is rapidly progressive into disability or death.[3] Additionally, there is an imaging entity of “radiologically isolated syndrome” where T2 hyperintense brain lesions are incidentally diagnosed on MRI in asymptomatic individuals.[6]

MRI Findings as Criteria to Diagnose MS

Over years, many criteria have been developed and revised for diagnosis of MS, with the radiologically pertinent landmark revision coming in 2001, when McDonald et al. formally included MR imaging features in the diagnostic criteria.[7] Demonstration of lesion dissemination in time and space with exclusion of other conditions is the basis of these criteria, which have been periodically revised, the latest criteria being proposed by the European Multicenter Collaborative Research Network for Magnetic Imaging in MS in 2010.[8] As per this revision, the criteria for dissemination in space are “one or more lesion in each of two or more characteristic locations: periventricular, juxtacortical, posterior fossa, spinal cord; all lesions in symptomatic regions, excluded in brain stem and spinal cord syndromes”; and the criteria for dissemination in time are “simultaneous presence of asymptomatic gadolinium-enhanced and non-enhanced lesions at any time, or a new T2 and/or gadolinium-enhanced lesion on follow-up MR images irrespective of timing of baseline study”. Aided with technological advances, MRI is now the most crucial paraclinical tool for evaluating MS, helping establish diagnosis and disease burden, mapping temporal changes and monitoring treatment response in clinical trials.[9]

MRI Findings

Conventional MRI

The classical findings in MS include high T2 signal lesions of varied sizes and shapes, ovoid lesions historically considered more specific, correlating to the pathological findings of perivenular inflammation (Dawson's fingers)[10] [Figure 1]. Lesions in Periventricular location [Figure 2] along the 4th ventricle and temporal horns and in midbrain and Cerebellar peduncle [Figure 3], although less prevalent, are more specific for MS.[11] Apart from periventricular region, the corpus callosum, subcortical region, brain stem subcortical U-fibres, optic nerves and visual pathway are also commonly involved.[9] The location of these lesions at the calloso-septal interface on sagittal sequences has been reported to have a very high sensitivity and specificity for differentiating MS from vascular disease.[12] Some lesions are tumefactive and may be confused for tumours. The lesion burden is reported to be higher in SPMS as compared to BMS, RRMS and PPMS.[13] However, there is very poor correlation between T2 hyperintense lesion load and disability,[14] and therein lies its limitation.
Figure 1

Sagittal T2 FLAIR image reveals ‘Dawson's fingers’ (arrow), which are demyelinating plaques at callososeptal location, running at right angles along medullary veins, due to perivenular inflammation

Figure 2

Axial T2 image shows hyperintense lesions (arrows) in the periventricular location along bilateral lateral ventricles

Figure 3

Axial T2 (a), MT suppressed (b) and post-contrast (c) Axial images show lesion in the right superior cerebellar peduncle (arrows)

Sagittal T2 FLAIR image reveals ‘Dawson's fingers’ (arrow), which are demyelinating plaques at callososeptal location, running at right angles along medullary veins, due to perivenular inflammation Axial T2 image shows hyperintense lesions (arrows) in the periventricular location along bilateral lateral ventricles Axial T2 (a), MT suppressed (b) and post-contrast (c) Axial images show lesion in the right superior cerebellar peduncle (arrows) Gray matter (GM) involvement is also well-established for long.[15] Double inversion recovery MR sequences, which suppress signal from white matter and cerebrospinal fluid (CSF) are used to detect these lesions which appear hyperintense; further, these are reportedly more common in SPMS than in CIS or RRMS.[16] The lesion load is associated with disability progression and cognitive impairment.[1718]

Magnetisation transfer imaging

Magnetisation transfer imaging involves arriving at the magnetisation transfer (MT) ratio, which is calculated by using gradient-echo or spin-echo imaging with and without an off-resonance saturation pulse. The MT ratio has been proved to depict extent of tissue structure disruption.[19] Many of the T2 hyperintense lesions are seen to have low T1 signal — “black holes”, which were speculated to be the most demyelinated regions, thus reflecting the grade of the lesion, when correlated with MT ratio.[20] A decrease in MT ratio is also observed in normal-appearing white matter (NAWM), and in fact is seen weeks before new lesions are appreciated; this is more severe in progressive phenotypes.[19] Conversely, an increase in this ratio was found in remyelination in a study by Chen et al., where different temporal patterns were found in demyelination and remyelination after enhancement.[21]

Brain volume morphometry

Average brain volume reduction in MS is 0.7-1% per year[22] and is best seen on T1-weighted sequences. Atrophy quantification and distribution have been analysed by various studies, and it has been found that GM atrophy occurs early,[23] correlates with disability[24] and cognitive dysfunction[25] and progresses over a period of time,[26] and demonstrates regional variability according to the disease phenotype.[27]

Contrast enhancement

Enhancement of lesions on gadolinium contrast administration has been a traditional indicator of disease activity. Normal enhancement window in MS plaques is 2 to 8 weeks, but they can enhance even upto 6 months.[28] A combination of MT and 20-60 minute delayed scans with multiple doses has been found to detect more lesions.[29] A new exciting recent development has been the use of ultrasmall particles of iron oxide (USPIOs) as a contrast agent. These target the monocyte-macrophage system, and hence are indicators of cellular inflammatory reaction, in contrast to gadolinium enhancement of lesions, which is due to leaky blood-brain barriers. Also, enhancement by USPIOs may precede and may persist after gadolinium enhancement of lesions.[30] Thus, USPIOs can complement gadolinium contrast for MS imaging.

Iron deposition

Multifactorial non-heme iron deposition is seen in MS, seen as T2 hypointensities in basal ganglia, thalami, dentate nucleus and cortex, correlating with disability, cognitive impairment and progression.[3132]

Optic neuritis

Imaging the optic nerve is an inherent part of any MRI study for MS. T2-weighted and STIR coronal sequences through the optic nerve, along with post contrast sequences are performed. Dilatation of the optic sheath along with sheath enhancement on T1-weighted contrast studies [Figure 4] is commonly found in acute optic neuritis.[33] The mean diffusivity in the diseased nerve was found to be higher than the contralateral eye in one study.[34]
Figure 4

Coronal (a) and axial (b) post contrast T1 weighted images show thickening and asymmetric excessive enhancement of the right optic nerve (arrows)

Coronal (a) and axial (b) post contrast T1 weighted images show thickening and asymmetric excessive enhancement of the right optic nerve (arrows)

Spinal cord affection

Spinal cord involvement is uncommon in the usual MS mimics such as inflammatory and hypoxic-ischemic disorders, and hence helps in distinguishing MS from these entities.[35] Spinal cord imaging is performed to rule out other conditions, and in established MS if there is suspicion of mechanical compression or atypical symptoms.[36] Cervical cord is the most common site of involvement, with peripheral WM affection, typically with less than 2 segment involvement [Figure 5] with cross-sectional area involvement of less than 50% and with no low T1 signal.[37] Use of T1-weighted IR imaging has been found to have increased lesion-to-normal appearing cord than STIR and fast spin echo images.[38]
Figure 5

Axial (a) and Sagittal (b) T2 weighted images show hyperintense dorsal cord lesion (arrows) which enhances as seen on the T1 weighted sagittal image (c)

Axial (a) and Sagittal (b) T2 weighted images show hyperintense dorsal cord lesion (arrows) which enhances as seen on the T1 weighted sagittal image (c)

MR spectroscopy

Proton MR Spectroscopy (MRS) is valuable in MS as the biochemical changes, which precede anatomical changes, are visible even in NAWM before lesion formation and the metabolite changes can be monitored in MS lesions over a period of time.[39] MRS can be single-voxel or multivoxel and the acquisition time can be reduced using echoplanar imaging (EPI) with parallel MR imaging [sensitivity encoding (SENSE)/generalised autocalibrating partially parallel acquisitions (GRAPPA)] with radiofrequency (RF) coil arrays.[39] The hallmark of acute MS lesions is reduced NAA levels due to neuronal injury along with increased choline levels due to increased cell membrane turnover and lactate peaks due to metabolism of inflammatory cells.[39] Reduced NAA and choline and increased myoinositol levels have also been found in some studies in NAWM, cortex and subcortical GM.[4041] The quantitative nature of MRS is useful for monitoring disease and response to therapy in MS. Although NAA/Cr ratio is commonly used for quantification,[42] absolute quantification is considered more desirable, with software packages available for the same.[39] MRS metabolite values, particularly decreased NAA,[43] and also decreased cortical glutamate-glutamine[44] and increased myoinositol[45] levels, have correlated with various disabilities in some studies. Whole brain NAA level measurements have been found to reduce faster than atrophy progression, and could be used as marker for disease progression.[46]

Diffusion tensor imaging

Diffusion Tensor Imaging (DTI) uses multidirectional diffusion-weighted magnetic field gradients to measure diffusion of water molecules. Abnormalities in mean diffusivity and fractional anisotropy (FA) values are seen in NAWM, cortex and deep GM nuclei very early in the disease, with worsened GM involvement over time, which in turn correlates with cognition impairment and hence is a disability predictor.[4748] The CIS involvement is depicted as DTI abnormalities in respective regions, such as in optic radiations in optic neuritis and in the corticospinal tract in motor impairment.[49] Further, reduced FA values have been observed in NAWM which have only partially coincided with T2 hyperintense lesions, underlining the role of NAWM in cognitive disturbances.[50]

Perfusion weighted imaging

Perfusion weighted MRI reflects the vascular changes in MS, of vascular occlusion and fibrin deposits,[51] and these studies are performed either by administering gadolinium contrast with dynamic imaging or by arterial spin labelling which obviates need of an exogenous contrast. Apart from the increased perfusion in enhancing lesions, the real value of MR perfusion is in the decreased perfusion in NAWM, cortex and deep GM that has been observed in some studies to correlate with disability and neuropsychologic impairment.[5253]

Functional MRI

Functional MRI (fMRI) in MS is based on the premise of brain plasticity, in which the brain adapts to axonal injury by several mechanisms to limit the functional loss.[54] The net result of axonal loss in MS is in the form of increased recruitment of parallel or latent pathways. The fMRI signal changes are blood oxygen level-dependent (BOLD), which in turn is related to the neuronal activity. Hence, in optic neuritis after recovery, in addition to the primary visual cortex, extensive visual network activation is seen, which includes claustrum, lateral temporal and posterior parietal cortices, and thalamus.[55] Similarly, at late stage motor involvement, in addition to the primary sensorimotor cortex, recruitment of higher order areas is seen even for simple tasks, as against their recruitment only for complex tasks in unaffected individuals.[56] In the spinal cord, the “signal enhancement by extravascular protons” (SEEP) effect is found more suitable than BOLD effect.[57] Combined fMRI and DTI measures have been studied to measure structural damage to WM.[58]

High field strength MRI

High field strength MRI studies at 7.0 Tesla have been found to better depict WM and GM lesions, to be more sensitive to iron induced local magnetic field shifts and improve quantitative, metabolic and fMRI studies.[5960]

MS Mimics

MS mimics have to be ruled out by clinical, laboratory and paraclinical investigations, of which MRI is an important investigation. Most of the hypoxic-ischemic vasculopathies show similar white matter T2 hyperintensities as in MS. In small vessel disease, sparing of the U-fibres, relative sparing of the corpus callosum, temporal lobe and cerebellum, more central involvement of brain stem, presence of lacunar infarcts and microbleeds and sparing of spinal cord are handy findings to distinguish it from MS.[61] In Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencepahalopathy (CADASIL), although there are subcortical and periventricular T2 hyperintensities like in MS, the presence of microbleeds and distended perivascular spaces, lack of lesion enhancement and sparing of the corpus callosum, cortex and extrapontine infratentorial brain parenchyma are useful distinguishing features.[61] Microhemorrhages are also seen in amyloid angiopathy.[62] Among the inflammatory disorders, acute disseminated encephalomyelitis (ADEM) is particularly difficult to distinguish from first attack of MS in children. Its monophasic nature, affecting mostly children, following viral syndrome or vaccination, presence of encephalopathy, bilateral optic neuritis, relative sparing of periventricular regions and involvement of the thoracic cord[3761] are some features which may help distinguishing it from MS. Neuromyelitis Optica (NMO) spectrum includes classic NMO, Asian opticospinal MS, longitudinally extensive myelitis, and ON or myelitis with brain lesions typical of NMO,[63] many of these entities overlapping with MS. In NMO, the cord affection is more profound on cross-section and extends over longer segments, while the brain lesions are more in the periventricular region along third ventricle and aqueduct, following the ependymal surface, and cortical lesions are rare.[61] Serum NMO IgG is diagnostic.[61] A few other handy tips to rule out other MS mimics have been suggested by Aliaga et al. in a recent review.[61] Hereditary, metabolic and toxic disorders have a more symmetric involvement. Apart from Progressive Multifocal Leukoencephalopathy, U-fibres and juxtacortical lesions, very typical in MS, are not seen in infectious disorders or in adult onset leukoencephalopathies. Vasculitis and mitochondrial lesions tend to involve basal ganglia, which is uncommon in MS. Leptomeningeal enhancement is another feature of vasculitis.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  62 in total

1.  The distribution of plaques in the cerebrum in multiple sclerosis.

Authors:  B BROWNELL; J T HUGHES
Journal:  J Neurol Neurosurg Psychiatry       Date:  1962-11       Impact factor: 10.154

Review 2.  Magnetization transfer MRI in multiple sclerosis.

Authors:  Massimo Filippi; Federica Agosta
Journal:  J Neuroimaging       Date:  2007-04       Impact factor: 2.486

3.  Patterns of disease activity in multiple sclerosis.

Authors:  A J Thompson; D H Miller; D G MacManus; W I McDonald
Journal:  BMJ       Date:  1990-07-07

4.  Histopathologic analysis of foci of signal loss on gradient-echo T2*-weighted MR images in patients with spontaneous intracerebral hemorrhage: evidence of microangiopathy-related microbleeds.

Authors:  F Fazekas; R Kleinert; G Roob; G Kleinert; P Kapeller; R Schmidt; H P Hartung
Journal:  AJNR Am J Neuroradiol       Date:  1999-04       Impact factor: 3.825

Review 5.  Nonconventional optic nerve imaging in multiple sclerosis.

Authors:  Christopher C Glisson; Steven L Galetta
Journal:  Neuroimaging Clin N Am       Date:  2009-02       Impact factor: 2.264

6.  Magnetization transfer effects in MR-detected multiple sclerosis lesions: comparison with gadolinium-enhanced spin-echo images and nonenhanced T1-weighted images.

Authors:  J F Hiehle; R I Grossman; K N Ramer; F Gonzalez-Scarano; J A Cohen
Journal:  AJNR Am J Neuroradiol       Date:  1995-01       Impact factor: 3.825

7.  Deep gray matter involvement on brain MRI scans is associated with clinical progression in multiple sclerosis.

Authors:  Mohit Neema; Ashish Arora; Brian C Healy; Zachary D Guss; Steven D Brass; Yang Duan; Guy J Buckle; Bonnie I Glanz; Lynn Stazzone; Samia J Khoury; Howard L Weiner; Charles R G Guttmann; Rohit Bakshi
Journal:  J Neuroimaging       Date:  2009-01       Impact factor: 2.486

8.  Recovery from optic neuritis is associated with a change in the distribution of cerebral response to visual stimulation: a functional magnetic resonance imaging study.

Authors:  D J Werring; E T Bullmore; A T Toosy; D H Miller; G J Barker; D G MacManus; M J Brammer; V P Giampietro; A Brusa; P A Brex; I F Moseley; G T Plant; W I McDonald; A J Thompson
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-04       Impact factor: 10.154

9.  Evidence of early cortical atrophy in MS: relevance to white matter changes and disability.

Authors:  N De Stefano; P M Matthews; M Filippi; F Agosta; M De Luca; M L Bartolozzi; L Guidi; A Ghezzi; E Montanari; A Cifelli; A Federico; S M Smith
Journal:  Neurology       Date:  2003-04-08       Impact factor: 9.910

10.  Metabolite changes in normal-appearing gray and white matter are linked with disability in early primary progressive multiple sclerosis.

Authors:  J Sastre-Garriga; G T Ingle; D T Chard; Lí Ramió-Torrentà; M A McLean; D H Miller; A J Thompson
Journal:  Arch Neurol       Date:  2005-04
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Authors:  T Sartoretti; E Sartoretti; S Rauch; C Binkert; M Wyss; D Czell; S Sartoretti-Schefer
Journal:  AJNR Am J Neuroradiol       Date:  2017-06-29       Impact factor: 3.825

2.  A dual modeling approach to automatic segmentation of cerebral T2 hyperintensities and T1 black holes in multiple sclerosis.

Authors:  Alessandra M Valcarcel; Kristin A Linn; Fariha Khalid; Simon N Vandekar; Shahamat Tauhid; Theodore D Satterthwaite; John Muschelli; Melissa Lynne Martin; Rohit Bakshi; Russell T Shinohara
Journal:  Neuroimage Clin       Date:  2018-10-16       Impact factor: 4.881

3.  Effective Connectivity within the Papez Circuit in the Multiple Sclerosis Patients: A Comparative Study Using Resting-State fMRI.

Authors:  Meysam Siyah Mansoory; Ava Chehreh; Karim Khoshgard; Iraj Rashidi; Ali Ebrahiminia
Journal:  J Biomed Phys Eng       Date:  2022-04-01

4.  Neuroimaging Features and Associated Factors in Multiple Sclerosis Patients: A Perspective from a Private Care Center in Addis Ababa, Ethiopia.

Authors:  Biniyam A Ayele; Mehila Z Wuhib; Betesaida G Zenebe; Yared Z Zewde; Yonas T Wolde; Guta Z Metaferia
Journal:  Ethiop J Health Sci       Date:  2021-09

Review 5.  A Comparison of Neuroimaging Abnormalities in Multiple Sclerosis, Major Depression and Chronic Fatigue Syndrome (Myalgic Encephalomyelitis): is There a Common Cause?

Authors:  Gerwyn Morris; Michael Berk; Basant K Puri
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