Mini Review Volume 3 Issue 1
1Department of Radiology, Aga Khan University Hospital, Pakistan
2King Edward Medical University, Pakistan
Correspondence: Fatima Mubarak, Department of Radiology Aga Khan University Hospital Karachi, Pakistan
Received: August 27, 2017 | Published: February 21, 2018
Citation: Alvi A, Mubarak F, Alvi A. Overview of neurodegenerative disorders associated with dementia: role of MRI. MOJ Gerontol Ger. 2018;3(1):86-87. DOI: 10.15406/mojgg.2018.03.00092
Dementia is a syndrome leading to deterioration in cognitive function beyond what might be expected from normal ageing. The most common dementia syndromes include Alzheimer’s disease (AD), frontotemporal lobe degeneration (FTLD) and vascular Dementia (VaD). Neuroimaging including CT and MRI have a key role in early diagnosis of neurodegenerative diseases. MRI is the corner stone modality and has superior role in detecting dementia associated abnormalities like atrophy of hippocampus, medial temporal lobe or that of parietal lobe. Vascular related changes including including white matter lesions, lacunar infarcts or strategic infarcts can also be better assessed on MRI. Early diagnosis of neurodegenerative diseases can lead to early start of therapy with improved clinical outcome.
World Health Organization describes dementia as a syndrome - usually of a chronic or progressive nature in which there is deterioration in cognitive function (i.e. the ability to process thought) beyond what might be expected from normal ageing. It affects memory, thinking, orientation, comprehension, calculation, learning capacity, language, and judgement.1,2
Neuroimaging has a challenging role in early diagnosis of neurodegenerative diseases leading to dementia and to assess disease progression. MRI is the corner stone modality, multidetector CT can also play a role when MRI is contraindicated or when imaging is needed only to rule out surgically treatable etiology of cognitive impairment.
MRI protocol for dementia includes coronal-oblique T1-weighted images obtained by reformatting sagittal 3D T1 weighted sequence, axial T2- weighted images, axial FLAIR images and axial T2*- weighted images. DWI is a supplemental sequence done in cases of rapidly progressive neuro degeneration especially in young patients.3,4
Typical MR findings in dementia includes atrophy of hippocampus, medial temporal lobe or that of parietal lobe or there can be global cortical atrophy. Other findings are vascular related including white matter lesions, lacunar infarcts or strategic infarcts (infarcts in areas which are involved in cognition).5
Hippocampal and medial temporal lobe atrophy is best assessed on coronal-oblique T1-weighted images. Axial T2-weighted images are used to assess infarctions especially thalamic and basal ganglia lacunar infarcts. Assessment of global cortical atrophy (GCA), vascular white matter hyperintensities and infarctions is done on axial FLAIR images. Axial T2*-weighted images are used to identify micro hemorhages in cerebral amyloid angiopathy and to see any calcification or iron deposition.6 The most common dementia syndromes include Alzheimer's disease (AD), frontotemporal lobe degeneration (FTLD) and vascular Dementia (VaD).7
Dementia can be the clinical manifestation of atypical Parkinson syndromes like dementia with Lewy bodies, progressive supranuclear palsy (PSP) and multi-system atrophy (MSA). MR brain including hippocampus is usually normal in cases of dementia secondary to Lewy bodies deposition that differentiates it from AD. Significant atrophy of midbrain is seen in PSP giving the typical 'humming bird sign' on MRI. In MSA there is severe atrophy of cerebellum and pons.8 Cognitive impairment can also be seen in other conditions like cerebral amyloid angiopathy, Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencehalopathy (CADASIL), Creutzfeldt-Jakob Disease (CJD) or in Huntington Disease.9
AD is a gradually progressing disease with age as its major risk factor, affecting approximately 8% of individuals over the age of 65 and 30% over the age of 85 years. Medial temporal lobe atrophy (MTA) and parietal atrophy (particularly that of precuneus) is typically seen in this disease. In end-stage AD there is severe GCA. Presenile AD is one of its variant charcterised by significant parietal lobe atrophy particularly that of precuneus and posterior cingulum. Hippocampus is mildly affected or sometimes it is absolutely normal.10,11
VaD has relatively more sudden onset compared to AD, usually associated with vascular risk factors, regarded as the second most common cause of dementia after AD.11 Global cortical atrophy (GCA), lacunar infarcts, white matter lesions (WML’s) and 'strategic infarcts' are seen in VaD.
FTLD also known as Pick's disease, is a progressive disease, seen relatively more commonly in presenile age group. Pronounced frontal and/or temporal lobe atrophy is characteristic of FTLD. In one of its sub type’s i-e Semantic Dementia, atrophy is strikingly asymmetrical mainly affecting left temporal lobe.13 GCA and WML’s can also be the result of normal aging.14
The standardized systematic scoring of brain atrophy and that of vascular changes is essential while reading the MR images of patients presenting with dementia15‒17 and it includes GCA-scale for Global Cortical Atrophy, Fazekas scale for white matter lesions, MTA-scale for Medial Temporal lobe Atrophy and Koedam score for Parietal Atrophy.
Delay in diagnosis of neurodegenerative disorders lead to worsening of symptoms and delay in treatment. Advancements in neuroimaging especially in MRI have made the early diagnosis possible that leads to early start of therapy with improved clinical outcome. MRI is the corner stone modality and has superior role in detecting dementia associated abnormalities like atrophy of hippocampus, medial temporal lobe or that of parietal lobe.
Brain imaging according to standard protocols for neurodegenerative disorders and scan interpretation by expert neuroradiologist has a major role in the management of these disorders.
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Authors declare that there is no conflict of interest.
©2018 Alvi, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.