Neuroimaging tools to rate regional atrophy, subcortical cerebrovascular disease, and regional cerebral blood flow and metabolism: consensus paper of the EADC

被引:62
作者
Frisoni, GB [1 ]
Scheltens, PH
Galluzzi, S
Nobili, FM
Fox, NC
Robert, PH
Soininen, H
Wahlund, LO
Waldemar, G
Salmon, E
机构
[1] IRCCS San Giovanni, DioFBF, Lab Epidemiol & Neuroimaging, Via Pilastroni 4, I-25125 Brescia, Italy
[2] Vrije Univ Amsterdam, Med Ctr, Dept Cognit Neurol, Alzheimer Ctr, Amsterdam, Netherlands
[3] Univ Genoa, Dept Internal Med, Div Clin Neurophysiol, I-16126 Genoa, Italy
[4] UCL, Dept Clin Neurol, Inst Neurol, Dementia Res Grp, London, England
[5] Ctr Hosp Univ Nice, Hop Louis Pasteur, Ctr Memoire, Unite Evaluat Cognit, F-06108 Nice 2, France
[6] Kuopio Univ Hosp, Dept Neurol, SF-70210 Kuopio, Finland
[7] Huddinge Univ Hosp, Karolinska Inst, Dept Clin Neurosci, NEUROTEC, S-14186 Huddinge, Sweden
[8] Copenhagen Univ Hosp, Dept Neurol, Copenhagen, Denmark
[9] Univ Liege, Dept Neurol, Liege, Belgium
[10] Univ Liege, Cyclotron Res Ctr, Liege, Belgium
基金
英国医学研究理事会;
关键词
D O I
10.1136/jnnp.74.10.1371
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Neuroimaging is a mainstay in the differential diagnosis of patients with cognitive impairment. The often equivocal clinical pictures, the prognostic uncertainty of the earliest stages of mild cognitive impairment, and the subtle brain changes mean that neuroimaging techniques are of potentially great incremental diagnostic value. A number of methods, ranging from very simple subjective visual ratings to highly sophisticated computerised tools, have been developed, which allow rating of structural and functional brain changes. The choice of the method is not obvious, and current guidelines provide no indications on which tools should be preferred. In this paper, we give indications for tools with demonstrated accuracy for detecting regional atrophy, cerebrovascular disease, and regional brain function, and discuss these according to increasing technological complexity, ranging from those with high feasibility that can be used at the patient's bedside to highly technological ones that require trained personnel and specific hardware and software.
引用
收藏
页码:1371 / 1381
页数:11
相关论文
共 93 条
[1]   Impaired cerebral glucose metabolism and cognitive functioning predict deterioration in mild cognitive impairment [J].
Arnáiz, E ;
Jelic, V ;
Almkvist, O ;
Wahlund, LO ;
Winblad, B ;
Valind, S ;
Nordberg, A .
NEUROREPORT, 2001, 12 (04) :851-855
[2]   Computer-assisted imaging to assess brain structure in healthy and diseased brains [J].
Ashburner, J ;
Csernansky, JG ;
Davatzikos, C ;
Fox, NC ;
Frisoni, GB ;
Thompson, PM .
LANCET NEUROLOGY, 2003, 2 (02) :79-88
[3]   Voxel-based morphometry - The methods [J].
Ashburner, J ;
Friston, KJ .
NEUROIMAGE, 2000, 11 (06) :805-821
[4]   Older people with impaired mobility have specific loci of periventricular abnormality on MRI [J].
Benson, RR ;
Guttmann, CRG ;
Wei, X ;
Warfield, SK ;
Hall, C ;
Schmidt, JA ;
Kikinis, R ;
Wolfson, LI .
NEUROLOGY, 2002, 58 (01) :48-55
[5]  
Bosscher L., 2002, EVID BASED DEMENT PR, P154
[6]   Rates of global and regional cerebral atrophy in AD and frontotemporal dementia [J].
Chan, D ;
Fox, NC ;
Jenkins, R ;
Scahill, RI ;
Crum, WR ;
Rossor, MN .
NEUROLOGY, 2001, 57 (10) :1756-1763
[7]   Early diagnosis of Alzheimer's disease: contribution of structural neuroimaging [J].
Chetelat, G ;
Baron, JC .
NEUROIMAGE, 2003, 18 (02) :525-541
[8]   Mild cognitive impairment -: Can FDG-PET predict who is to rapidly convert to Alzheimer's disease? [J].
Chételat, G ;
Desgranges, B ;
de la Sayette, V ;
Viader, F ;
Eustache, F ;
Baron, JC .
NEUROLOGY, 2003, 60 (08) :1374-1377
[9]   Prediction of cognitive decline in normal elderly subjects with 2-[18F]fluoro-2-deoxy-D-glucose/positron-emission tomography (FDG/PET) [J].
de Leon, MJ ;
Convit, A ;
Wolf, OT ;
Tarshish, CY ;
DeSanti, S ;
Rusinek, H ;
Tsui, W ;
Kandil, E ;
Scherer, AJ ;
Roche, A ;
Imossi, A ;
Thorn, E ;
Bobinski, M ;
Caraos, C ;
Lesbre, P ;
Schlyer, D ;
Poirier, J ;
Reisberg, B ;
Fowler, J .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2001, 98 (19) :10966-10971
[10]   Hippocampal formation glucose metabolism and volume losses in MCI and AD [J].
De Santi, S ;
de Leon, MJ ;
Rusinek, H ;
Convit, A ;
Tarshish, CY ;
Roche, A ;
Tsui, WH ;
Kandil, E ;
Boppana, M ;
Daisley, K ;
Wang, GJ ;
Schlyer, D ;
Fowler, J .
NEUROBIOLOGY OF AGING, 2001, 22 (04) :529-539