Using Structural and Diffusion Magnetic Resonance Imaging To Differentiate the Dementias

被引:0
|
作者
Sana Suri
Anya Topiwala
Clare E. Mackay
Klaus P. Ebmeier
Nicola Filippini
机构
[1] University of Oxford,Department of Psychiatry, Warneford Hospital, Warneford Lane
[2] University of Oxford,Functional Magnetic Resonance Imaging of the Brain Centre
关键词
Structural MRI; Diffusion MRI; Alzheimer’s disease; Vascular dementia; Frontotemporal dementia; Lewy body dementia;
D O I
暂无
中图分类号
学科分类号
摘要
Dementia is one of the major causes of personal, societal and financial dependence in older people and in today’s ageing society there is a pressing need for early and accurate markers of cognitive decline. There are several subtypes of dementia but the four most common are Alzheimer’s disease, Lewy body dementia, vascular dementia and frontotemporal dementia. These disorders can only be diagnosed at autopsy, and ante-mortem assessments of “probable dementia (e.g. of Alzheimer type)” are traditionally driven by clinical symptoms of cognitive or behavioural deficits. However, owing to the overlapping nature of symptoms and age of onset, a significant proportion of dementia cases remain incorrectly diagnosed. Misdiagnosis can have an extensive impact, both at the level of the individual, who may not be offered the appropriate treatment, and on a wider scale, by influencing the entry of patients into relevant clinical trials. Magnetic resonance imaging (MRI) may help to improve diagnosis by providing non-invasive and detailed disease-specific markers of cognitive decline. MRI-derived measurements of grey and white matter structural integrity are potential surrogate markers of disease progression, and may also provide valuable diagnostic information. This review summarises the latest evidence on the use of structural and diffusion MRI in differentiating between the four major dementia subtypes.
引用
收藏
相关论文
共 50 条
  • [41] Structural magnetic resonance imaging in epilepsy
    Deblaere, Karel
    Achten, Eric
    EUROPEAN RADIOLOGY, 2008, 18 (01) : 119 - 129
  • [42] Structural magnetic resonance imaging in epilepsy
    Karel Deblaere
    Eric Achten
    European Radiology, 2008, 18 : 119 - 129
  • [43] Structural magnetic resonance imaging in epilepsy
    Alvarez-Linera Prado, J.
    RADIOLOGIA, 2012, 54 (01): : 9 - 20
  • [44] Structural Connectivity of the Human Anterior Temporal Lobe: A Diffusion Magnetic Resonance Imaging Study
    Papinutto, Nico
    Galantucci, Sebastiano
    Mandelli, Maria Luisa
    Gesierich, Benno
    Jovicich, Jorge
    Caverzasi, Eduardo
    Henry, Roland G.
    Seeley, William W.
    Miller, Bruce L.
    Shapiro, Kevin A.
    Gorno-Tempini, Maria Luisa
    HUMAN BRAIN MAPPING, 2016, 37 (06) : 2210 - 2222
  • [45] Volumetric quantitative histogram analysis using diffusion-weighted magnetic resonance imaging to differentiate HCC from other primary liver cancers
    Sara Lewis
    Steven Peti
    Stefanie J. Hectors
    Michael King
    Ally Rosen
    Amita Kamath
    Juan Putra
    Swan Thung
    Bachir Taouli
    Abdominal Radiology, 2019, 44 : 912 - 922
  • [46] Application of apparent diffusion coefficient and exponent apparent diffusion coefficient values in magnetic resonance imaging diffusion-weighted imaging to differentiate benign and malignant ovarian epithelial tumors
    Wang, Yu-Xing
    Yuan, Ming-Zhi
    Wen, Zhao-Xia
    JOURNAL OF CANCER RESEARCH AND THERAPEUTICS, 2016, 12 (01) : 401 - 405
  • [47] Magnetic Resonance Spectroscopy in Common Dementias
    Kantarci, Kejal
    NEUROIMAGING CLINICS OF NORTH AMERICA, 2013, 23 (03) : 393 - +
  • [48] Diffusion-weighted magnetic resonance imaging
    Mukherji, SK
    Chenevert, TL
    Castillo, M
    JOURNAL OF NEURO-OPHTHALMOLOGY, 2002, 22 (02) : 118 - 122
  • [49] Diffusion Magnetic Resonance Imaging in Multiple Sclerosis
    Hygino da Cruz, L. Celso, Jr.
    Batista, Racqel Ribeiro
    Domingues, Roberto Cortes
    Barkhof, Frederik
    NEUROIMAGING CLINICS OF NORTH AMERICA, 2011, 21 (01) : 71 - +
  • [50] Diffusion and utilization of magnetic resonance imaging in Asia
    Hutubessy, RCW
    Hanvoravongchai, P
    Edejer, TTT
    INTERNATIONAL JOURNAL OF TECHNOLOGY ASSESSMENT IN HEALTH CARE, 2002, 18 (03) : 690 - 704