影像学技术应用于阿尔茨海默病早期诊断的研究进展

doi:10.3969/j.issn.1006-9771.2017.05.009

《中国康复理论与实践》 ›› 2017, Vol. 23 ›› Issue (5): 534-538.doi: 10.3969/j.issn.1006-9771.2017.05.009

影像学技术应用于阿尔茨海默病早期诊断的研究进展

黄蕊, 华学思, 张兰

首都医科大学宣武医院药物研究室,北京市神经药物工程研究中心,北京脑重大疾病研究院,神经变性病教育部重点实验室,北京市 100053。

收稿日期:2016-09-23 修回日期:2017-01-16 出版日期:2017-05-25 发布日期:2017-05-24
通讯作者: 张兰,女,教授,博士生导师,主要研究方向：神经药理学。E-mail: lanizhg@126.com。
作者简介:黄蕊(1992-),女,汉族,河北任丘市人,硕士研究生,主要研究方向：神经药理学。
基金资助:
1.国家自然科学基金项目(No.81473373); 2.北京市自然科学基金项目(No.7164315); 3.北京市卫生系统高层次卫生技术人才项目(No.2014-2-014); 4.北京市新世纪百千万人才工程项目(No.008-0014)

Advance in Imaging Techniques for Early Diagnosis of Alzheimer's Disease (review)

HUANG Rui, HUA Xue-si, ZHANG Lan

Department of Pharmacology, Xuanwu Hospital of Capital Medical University; Beijing Engineering Research Center for Nerve System Drugs; Beijing Institute for Brain Disorders; Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing 100053, China

Received:2016-09-23 Revised:2017-01-16 Published:2017-05-25 Online:2017-05-24
Contact: ZHANG Lan. E-mail: lanizhg@126.com

摘要/Abstract

摘要： 对阿尔茨海默病(AD)的临床诊断主要根据临床病史,但敏感性和准确性有限。正电子发射计算机断层显像技术可通过葡萄糖代谢成像以及生物标记物成像较为准确地早期诊断AD;磁共振成像技术则通过结构成像以及功能成像,为AD的早期诊断和鉴别诊断提供基础。近年来,多模态成像技术将放射学与核医学紧密结合,可更为准确地诊断AD。

关键词: 阿尔茨海默病, 正电子发射型计算机断层显像技术, 磁共振成像, 示踪剂, 综述

Abstract: At present, the clinical diagnosis of Alzheimer's disease (AD) is mainly based on clinical history, however, the sensitivity and accuracy is limited. Positron emission computed tomography can accurately diagnose AD early by glucose metabolism imaging and biomarker imaging. Magnetic resonance imaging provides the basis for early diagnosis and identification of AD by structural imaging and functional imaging. In recent years, the multi-modality imaging technology closely combines radiology and nuclear medicine, which can more accurately diagnose AD.

Key words: Alzheimer's disease, positron emission computed tomography, magnetic resonance imaging, tracer, review

中图分类号:

R749.1

黄蕊, 华学思, 张兰. 影像学技术应用于阿尔茨海默病早期诊断的研究进展[J]. 《中国康复理论与实践》, 2017, 23(5): 534-538.

HUANG Rui, HUA Xue-si, ZHANG Lan. Advance in Imaging Techniques for Early Diagnosis of Alzheimer's Disease (review)[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2017, 23(5): 534-538.

参考文献

[1] Sadhu A, Upadhyay P, Agrawal A, et al. Management of cognitive determinants in senile dementia of Alzheimer's type: therapeutic potential of a novel polyherbal drug product [J]. Clin Drug Investig, 2014, 34(12): 857-869. doi:10.1007/s40261-014-0235-9.
[2] Cuttler JM, Moore ER, Hosfeld VD, et al. Treatment of Alzheimer disease with CT scans: a case report [J]. Dose Response, 2016, 14(2): 1559325816640073. doi:10.1177/1559325816640073.
[3] Geldmacher DS, Kirson NY, Birnbaum HG, et al. Implications of early treatment among Medicaid patients with Alzheimer's disease [J]. Alzheimers Dement, 2014, 10(2): 214-224. doi:10.1016/j.jalz.2013.01.015.
[4] Vemuri P, Lesnick TG, Przybelski SA, et al. Vascular and amyloid pathologies are independent predictors of cognitive decline in normal elderly [J]. Brain, 2015, 138(Pt 3): 761-771. doi:10.1093/brain/awu393.
[5] Yanagisawa D, Amatsubo T, Morikawa S, et al. In vivo detection of amyloid β deposition using 19 F magnetic resonance imaging with a 19 F-containing curcumin derivative in a mouse model of Alzheimer's disease [J]. Neuroscience, 2011, 184: 120-127. doi:10.1016/j.neuroscience.2011.03.071.
[6] Cova I, Clerici F, Rossi A, et al. Weight loss predicts progression of mild cognitive impairment to Alzheimer's disease [J]. PLoS One, 2016, 11(3): e0151710. doi:10.1371/journal.pone.0151710.
[7] Jia J, Zhou A, Wei C, et al. The prevalence of mild cognitive impairment and its etiological subtypes in elderly Chinese [J]. Alzheimers Dement, 2014, 10(4): 439-47. doi:10.1016/j.jalz.2013.09.008.
[8] Ganguli M, Dodge HH, Shen C, et al. Mild cognitive impairment, amnestic type:an epidemiologic study [J]. Neurology, 2004, 63(1): 115-121.
[9] Ward A, Tardiff S, Dye C, et al. Rate of conversion from prodromal Alzheimer's disease to Alzheimer's dementia: a systematic review of the literature [J]. Dement Geriatr Coqn Dis Extra, 2013, 3(1): 320-332. doi:10.1159/000354370.
[10] Shi JM, He X, Lian HJ, et al. Tibetan medicine "RNSP" in treatment of Alzheimer disease [J]. Int J Clin Exp Med, 2015, 8(11): 19874-19880.
[11] Bensaidane MR, Beaureqard JM, Poulin S, et al. Clinical utility of amyloid PET imaging in the differential diagnosis of atypical dementias and its impact on caregivers [J]. J Alzheimers Dis, 2016, 52(4): 1251-1262. doi:10.3233/JAD-151180.
[12] Sun J, Feng X, Liang D, et al. Down-regulation of energy metabolism in Alzheimer's disease is a protective response of neurons to the microenvironment [J]. J Alzheimers Dis, 2012, 28(2): 389-402. doi:10.3233/JAD-2011-111313.
[13] Gallivanone F, Della Rosa PA, Castiglioni I. Statistical voxel-based methods and [18F]FDG PET brain imaging: frontiers for the diagnosis of AD [J]. Curr Alzheimer Res, 2016, 13(6): 682-694.
[14] Pardo JV, Lee JT, Kuskowski MA, et al. Fluorodeoxyglucose positron emission tomography of mild cognitive impairment with clinical follow-up at 3 years [J]. Alzheimers Dement, 2010, 6(4): 326-333. doi:10.1016/j.jalz.2009.09.005.
[15] Takahashi R, Ishii K, Senda M, et al. Equal sensitivity of early and late scans after injection of FDG for the detection of Alzheimer pattern: an analysis of 3D PET data from J-ADNI, a multi-center study [J]. Ann Nucl Med, 2013, 27(5): 452-459. doi:10.1007/s12149-013-0704-x.
[16] Silverman DH, Small GW, Chang CY. Positron emission tomography in evaluation of dementia: regional brain metabolism and long-term outcome [J]. JAMA, 2001, 286(17): 2120-2127.
[17] Pietrini P, Alexander GE, Furey ML, et al. Cerebral metabolic response to passive audiovisual stimulation in patients with Alzheimer's disease and healthy volunteers assessed by PET [J]. J Nucl Med, 2000, 41(4): 575-583.
[18] Laforce R Jr, Buteau JP, Paquet N, et al. The value of PET in mild cognitive impairment, typical and atypical/unclear dementias: a retrospective memory clinic study [J]. Am J Alzheimers Dis Other Demen, 2010, 25(4): 324-332. doi:10.1177/1533317510363468.
[19] Tripathi M, Dhawan V, Peng S, et al. Differential diagnosis of parkinsonian syndromes using F-18 fluorodeoxyglucose positron emission tomography [J]. Neuroradiology, 2013, 55(4): 483-492. doi:10.1007/s00234-012-1132-7.
[20] Eisenmenger LB, Huo EJ, Hoffman JM, et al. Advances in PET imaging of degenerative, cerebrovascular, and traumatic causes of dementia [J]. Semin Nucl Med, 2016, 46(1): 57-87. doi:10.1053/j.semnuclmed.2015.09.003.
[21] Kung HF, Choi SR, Qu W, et al. 18 F stilbenes and styrylpyridines for PET imaging of a beta plaques in Alzheimer's disease：a miniperspective [J]. J Med Chem, 2010, 53(3): 933-941. doi:10.1021/jm901039z.
[22] Rodriguez-Vieitez E, Saint-Aubert L, Carter SF, et al. Diverging longitudinal changes in astrocytosis and amyloid PET in autosomal dominant Alzheimer's disease [J]. Brain, 2016, 139(Pt 3): 922-936. doi:10.1093/brain/awv404.
[23] Liu E, Schmidt ME, Margolin R, et al. Amyloid-β 11 C-PiB-PET imaging results from 2 randomized bapineuzumab phase 3 AD trials [J]. Neurology, 2015, 85(8): 692-700. doi:10.1212/WNL.0000000000001877.
[24] Farid K, Hong YT, Aigbirhio FI, et al. Early-phase 11 C-PIB PET in amyloid angiopathy-related symptomatic cerebral hemorrhage:potential diagnostic value? [J]. PLoS One, 2015, 10(10): e0139926. doi:10.1371/journal.pone.0139926.
[25] Sigurdsson EM, Wadghiri YZ, Blind JA, et al. O3-03-03 In vivo magnetic resonance imaging of amyloid plaques in mice with a non-toxic Aβ derivative [J]. Neurobiol Aging, 2004, 25(4): S57.
[26] Maetzler W, Reimold M, Liepelt I, et al. [11C]PIB binding in Parkinson's disease dementia [J]. Neuroimage, 2008, 39(3): 1027-1033.
[27] Klunk WE, Engler H, Nordberg A, et al. Imaging brain amyloid in Alzheimer′s disease with Pittsburgh Compound-B [J]. Ann Neurol, 2004, 55(3): 306-319.
[28] Fleisher AS, Chen K, Liu X, et al. Using positron emission tomography and florbetapir F18 to image cortical amyloid in patients with mild cognitive impairment or dementia due to Alzheimer disease [J]. Arch Neurol, 2011, 68(11): 1404-1411. doi:10.1001/archneurol.2011.150.
[29] Payoux, P, Delrieu J, Gallini A, et al. Cognitive and functional patterns of nondemented subjects with equivocal visual amyloid PET findings [J]. Eur J Nucl Med Mol Imaging, 2015, 42(9): 1459-1468. doi:10.1007/s00259-015-3067-9.
[30] Johnson KA, Sperling RA, Gidicsin CM, et al. Florbetapir (F18-AV-45) PET to assess amyloid burden in Alzheimer's disease dementia, mild cognitive impairment, and normal aging [J]. Alzheimers Dement, 2013, 9(5 Suppl): S72-S83. doi:10.1016/j.jalz.2012.10.007.
[31] Murray ME, Graff-Radford NR, Ross OA, et al. Neuropathologically defined subtypes of Alzheimer's disease with distinct clinical characteristics: a retrospective study [J]. Lancet Neurol, 2011, 10(9): 785-796. doi:10.1016/S1474-4422(11)70156-9.
[32] Braak H, Braak E. Development of Alzheimer-related neurofibrillary changes in the neocortex inversely recapitulates cortical myelogenesis [J]. Acta Neuropathol, 1996, 92(2): 197-201.
[33] Gao M, Wang M, Zheng QH. Fully automated synthesis of [(18)F]T807, a PET tau tracer for Alzheimer's disease [J]. Bioorg Med Chem Lett, 2015, 25(15): 2953-2957. doi:10.1016/J.Bmcl.2015.05.035.
[34] Agdeppa ED, Kepe V, Liu J, et al. Binding characteristics of radiofluorinated 6-dialkylamino-2-naphthylethylidene derivatives as positron emission tomography imaging probes for beta-amyloid plaques in Alzheimer's disease [J]. J Neurosci, 2001, 21(24): RC189.
[35] Chien DT, Szardenings AK, Bahri S, et al. Early clinical PET imaging results with the novel PHF-tau radioligand [F18]-T808 [J]. J Alzheimers Dis, 2014, 38(1): 171-184. doi:10.3233/JAD-130098.
[36] Kolb H, Attardo G, Mintun M, et al. First case report: image to autopsy correlation for tau imaging with [18F]-T808 (AV-680) [J]. Alzheimers Dement, 2013, 9(4): 844-845.
[37] Korolev IO, Symonds LL, Bozoki AC. Predicting progression from mild cognitive impairment to Alzheimer's dementia using clinical, MRI, and plasma biomarkers via probabilistic pattern classification [J]. PLoS One, 2016, 11(2): e0138866. doi:10.1371/journal.pone.0138866.
[38] Liu L, Fu L, Zhang X, et al. Combination of dynamic (11)C-PIB PET and structural MRI improves diagnosis of Alzheimer's disease [J]. Psychiatry Res, 2015, 233(2): 131-140. doi:10.1016/j.pscychresns.2015.05.014.
[39] Trzepacz PT, Hochstetler H, Yu P, et al. Relationship of hippocampal volume to amyloid burden across diagnostic stages of Alzheimer's disease [J]. Dement Geriatr Cogn Disord, 2016, 41(1-2): 68-79. doi:10.1159/000441351.
[40] Apostolova LG, Dutton RA, Dinov ID, et al. Conversion of mild cognitive impairment to Alzheimer disease predicted by hippocampal atrophy maps [J]. Arch Neurol, 2006, 63(5): 693-699.
[41] McGuinness B, Barrett SL, McIlvenna J, et al. Predicting conversion to dementia in a memory clinic: A standard clinical approach compared with an empirically defined clustering method (latent profile analysis) for mild cognitive impairment subtyping [J]. Alzheimers Dement (Amst), 2015, 1(4): 447-454. doi:10.1016/j.dadm.2015.10.003.
[42] Gorelick PB, Counts SE, Nyenhuis D. Vascular cognitive impairment and dementia [J]. Biochim Biophys Acta, 2016, 1862(5): 860-868. doi:10.1016/j.bbadis.2015.12.015.
[43] Jin M, Pelak VS, Cordes D. Aberrant default mode network in subjects with amnestic mild cognitive impairment using resting-state functional MRI [J]. Magn Reson Imaging, 2012, 30(1): 48-61. doi:10.1016/j.mri.2011.07.007.
[44] Li W, Howard JD, Gottfried JA. Disruption of odour quality coding in piriform cortex mediates olfactory deficits in Alzheimer's disease [J]. Brain, 2010, 133(9): 2714-2726. doi:10.1093/brain/awq209.
[45] Wang J, Eslinger PJ, Doty RL, et al. Olfactory deficit detected by fMRI in early Alzheimer's disease [J]. Brain Res, 2010, 1357: 184-194. doi:10.1016/j.brainres.2010.08.018.
[46] Jin Z, Guan Y, Yu G, et al. Magnetic resonance imaging of postoperative fracture healing process without metal artifact: a preliminary report of a novel animal model [J]. Biomed Res Int, 2016, 2016: 1429892. doi:10.1155/2016/1429892.
[47] Illan IA, Gorriz JM, Ramirez J, et al. Bilateral symmetry aspects in computer-aided Alzheimer's disease diagnosis by single-photon emission-computed tomography imaging [J]. Artif Intell Med, 2012, 56(3): 191-198. doi:10.1016/j.artmed.2012.09.005.
[48] Faria AV, Ratnanather JT, Tward DJ, et al. Linking white matter and deep gray matter alterations in premanifest Huntington disease [J]. Neuroimage Clin, 2016, 11: 450-460. doi:10.1016/j.nicl.2016.02.014.
[49] Dunham CM, Cook AJ 2nd, Paparodis AM, et al. Practical one-dimensional measurements of age-related brain atrophy are validated by 3-dimensional values and clinical outcomes: a retrospective study [J]. BMC Med Imaging, 2016, 16: 32. doi:10.1186/s12880-016-0136-x.
[50] Sverzellati N, Colombi D, Randi G, et al. Computed tomography measurement of rib cage morphometry in emphysema [J]. PLoS One, 2013, 8(7): e68546. doi:10.1371/journal.pone.0068546.
[51] Mahlberg R, Walther S, Kalus P, et al. Pineal calcification in Alzheimer's disease: An in vivo study computed tomography [J]. Neurobiol Aging, 2008, 29(2): 203-209.
[52] Tang Z, Pi X, Chen F, et al. Fifty percent reduced-dose cerebral CT perfusion imaging of Alzheimer's disease: regional blood flow abnormalities [J]. Am J Alzheimers Dis Other Demen, 2012, 27(4): 267-274. doi:10.1177/1533317512447885.
[53] Tang Z, Chen F, Huang J, et al. Low-dose cerebral CT perfusion imaging (CTPI) of senile dementia: diagnostic performance [J]. Arch Gerontol Geriatr, 2013, 56(1): 61-67. doi:10.1016/j.archger.2012.05.009.
[54] Wang L, Zhang Y, He Y, et al. Changes in hippocampal connectivity in the early stages of Alzheimer's disease: evidence from resting state fMRI [J]. Neuroimage, 2006, 31(2): 496-504.
[55] Glaudemans AW, Quintero AM, Signore A. PET/MRI in infectious and inflammatory diseases: will it be a useful improvement? [J]. Eur J Nucl Med Mol Imaging, 2012, 39(5): 745-749. doi:10.1007/s00259-012-2060-9.
[56] Delso G, Martinez-Moller A, Bundschuh RA, et al. The effect of limited MR field of view in MR/PET attenuation correction [J]. Med Phys, 2010, 37(6): 2804-2812.
[57] Degenhardt EK, Witte MM, Gase MG, et al. Florbetapir F18 PET amyloid neuroimaging and characteristics in patients with mild and moderate Alzheimer dementia [J]. Psychosomatics, 2016, 57(2): 208-216. doi:10.1016/j.psym.2015.12.002.
[58] Jack CR Jr, Lowe VJ, Senjem ML, et al. 11 C PiB and structural MRI provide complementary information in imaging of Alzheimer's disease and amnestic mild cognitive impairment [J]. Brain, 2008, 131(Pt 3): 665-680. doi:10.1093/brain/awm336.

影像学技术应用于阿尔茨海默病早期诊断的研究进展

Advance in Imaging Techniques for Early Diagnosis of Alzheimer's Disease (review)

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