结构MRI诊断早期阿尔茨海默病的进展
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摘要
阿尔茨海默病(AD)是一种慢性中枢神经系统退行性疾病,发病率高,预后差,给社会和家庭带来沉重负担。早期诊断和有效干预AD尤为重要。AD最早出现病变的部位是海马,利用医学影像学尽早识别海马及其相关脑区损伤,为早期诊断AD提供依据,是目前的研究热点。结构MRI(sMRI)能反映人脑的结构和解剖学情况,在早期诊断AD中发挥重要作用。本文就sMRI诊断早期AD的应用进展进行综述。
Alzheimer disease(AD)is a chronic central nervous system degenerative disease with high incidence and poor prognosis,which brings the heavy burden to society and family.Early diagnosis and effective intervention of AD are particularly important.The earliest lesion of AD happens in the hippocampus.Detecting lesions of the hippocampus and their related brain areas as early as possible,providing evidences for early diagnosis of AD with medical imaging has been a hot spot of research.Structural MRI(sMRI)can reflect the structure and anatomy of human brain,therefore play an important role in early diagnosis of AD.The progresses of sMRI in the diagnosis of early AD were reviewed in this article.
Alzheimer disease(AD)is a chronic central nervous system degenerative disease with high incidence and poor prognosis,which brings the heavy burden to society and family.Early diagnosis and effective intervention of AD are particularly important.The earliest lesion of AD happens in the hippocampus.Detecting lesions of the hippocampus and their related brain areas as early as possible,providing evidences for early diagnosis of AD with medical imaging has been a hot spot of research.Structural MRI(sMRI)can reflect the structure and anatomy of human brain,therefore play an important role in early diagnosis of AD.The progresses of sMRI in the diagnosis of early AD were reviewed in this article.
引文
[1]成建明,赵小虎,门卫伟,等.轻度认知障碍进展为阿尔茨海默病过程中脑灰质体积特征改变的MRI研究.中国医学影像技术,2015,31(1):19-23.
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[3]李辉,陶磊,倪萍,等.阿尔茨海默病患者弥散张量成像研究.中国医疗设备,2014,29(11):1-4.
[4]Golob EJ,Irimajiri R,Starr A.Auditory cortical activity in amnestic mild cognitive impairment:Relationship to subtype and conversion to dementia.Brain,2007,130(Pt 3):740-752.
[5]杨文璐,刘凤侠,张小慢.轻度认知障碍转化阿尔兹海默病影像预测研究.安徽大学学报(自然科学版),2014,38(2):90-95.
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[9]段大兵.核磁诊断区分阿尔茨海默病和血管性痴呆的临床价值.医药论坛杂志,2015,36(4):168-169.
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[11]Gomar JJ,Ragland JD,Ulu g∨AM,et al.Differential medial temporal lobe morphometric predictors of item-and relationalencoded memories in healthy individuals and in individuals with mild cognitive impairment and Alzheimer's disease.Alzheimers Dementia(N Y),2017,3(2):238-246.
[12]Sousa A,Gomar JJ,Goldberg T.Neural and behavioral substrates of disorientation in mild cognitive impairment and Alzheimer's disease.Alzheimers Dement(N Y),2015,1(1):37-45.
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[14]山黛.长期丰富环境对阿尔兹海默病转基因小鼠大脑结构的影响.北京:中国科学院大学,2013:1-48.
[15]耿媛.高频rTMS改善老龄相关认知障碍的突触可塑性机制及相关代谢物变化.石家庄:河北医科大学,2016:1-50.
[16]马将.重复经颅磁刺激对脑老化相关认知功能损害的影响及机制探讨.石家庄:河北医科大学,2017:1-52.
[17]刘玥,刘芳.经颅电刺激对阿尔兹海默病大鼠学习记忆能力和海马CA1区磷酸化tau蛋白表达情况的影响.中风与神经疾病杂志,2016,33(12):1104-1106.
[18]Kerchner GA,Deutsch GK,Zeineh M,et al.Hippocampal CA1apical neuropil atrophy and memory performance in Alzheimer's disease.Neuroimage,2012,63(1):194-202.
[19]Berron D,Vieweg P,Hochkeppler A,et al.A protocol for manual segmentation of medial temporal lobe subregions in 7Tesla MRI.Neuroimage Clin,2017,15:466-482.
[20]闫瑾.多类型磁共振影像特征融合算法用于阿尔兹海默病早期诊断.重庆:重庆大学,2015:1-32.
[21]吕洋.基于脑MR影像不对称性特征的痴呆症早期诊断方法研究.重庆:重庆大学,2016:1-49.
[22]齐志刚,钱天翼,安彦红,等.联机测量灰质皮层体积在阿尔茨海默病诊断中的应用.中国医学影像技术,2016,32(8):1165-1169.
[23]Qureshi MN,Min B,Jo HJ,et al.Multiclass classification for the differential diagnosis on the ADHD subtypes using recursive feature elimination and hierarchical extreme learning machine:Structural MRI study.PLoS One,2016,11(8):e0160697.
[24]Lama RK,Gwak J,Park JS,et al.Diagnosis of Alzheimer's disease based on structural MRI images using a regularized extreme learning machine and PCA features.J Healthc Eng,2017,2017:5485080.
[25]刘亚男,陈元园,沙淼,等.静息态功能连接网络对大脑不同水平认知衰退的研究进展.生物医学工程学杂志,2017,34(4):632-636.
[26]Nakamura A,Cuesta P,Kato T,et al.Early functional network alterations in asymptomatic elders at risk for Alzheimer's disease.Sci Rep,2017,7(1):6517.
[27]Kang DW,Choi WH,Jung WS,et al.Impact of amyloid burden on regional functional synchronization in the cognitively normal older adults.Sci Rep,2017,7(1):14690.
[28]封亮,聂志余,王湘彬,等.静息态fMRI评价阿尔茨海默患者大脑功能网络效率变化.中国医学影像技术,2013,29(10):1570-1574.
[29]薛爱国.磁共振波谱技术及其量化方法在阿尔兹海默病中海马亚区代谢物分析应用.南京:东南大学,2016:1-32.
[30]翟步中.基于DTI的阿尔兹海默病及轻度认知障碍脑结构网络改变的研究.西安:西安电子科技大学,2015:1-59.
[31]Park JE,Park B,Kim SJ,et al.Improved diagnostic accuracy of Alzheimer's disease by combining regional cortical thickness and default mode network functional connectivity:Validated in the Alzheimer's disease neuroimaging initiative set.Korean JRadiol,2017,18(6):983-991.
[2]Brookmeyer R,Johnson E,Ziegler-Graham K,et al.Forecasting the global burden of Alzheimer's disease.Alzheimer Dement,2007,3(3):186-191.
[3]李辉,陶磊,倪萍,等.阿尔茨海默病患者弥散张量成像研究.中国医疗设备,2014,29(11):1-4.
[4]Golob EJ,Irimajiri R,Starr A.Auditory cortical activity in amnestic mild cognitive impairment:Relationship to subtype and conversion to dementia.Brain,2007,130(Pt 3):740-752.
[5]杨文璐,刘凤侠,张小慢.轻度认知障碍转化阿尔兹海默病影像预测研究.安徽大学学报(自然科学版),2014,38(2):90-95.
[6]Davatzikos C,Fan Y,Wu X,et al.Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging.Neurobiol Aging,2008,29(4):514-523.
[7]Misra C,Fan Y,Davatzikos C.Baseline and longitudinal patterns of brain atrophy in MCI patients,and their use in prediction of short-term conversion to AD:Results from ADNI.Neur Image,2009,44(4):1415-1422.
[8]吴伟翔,路敬叶.头颅血管磁共振在脑血管性痴呆诊断中的应用价值.医疗装备,2016,29(22):14-15.
[9]段大兵.核磁诊断区分阿尔茨海默病和血管性痴呆的临床价值.医药论坛杂志,2015,36(4):168-169.
[10]姚志军.轻度认知障碍和阿尔兹海默病脑形态异常的磁共振影像研究.兰州:兰州大学,2011:49.
[11]Gomar JJ,Ragland JD,Ulu g∨AM,et al.Differential medial temporal lobe morphometric predictors of item-and relationalencoded memories in healthy individuals and in individuals with mild cognitive impairment and Alzheimer's disease.Alzheimers Dementia(N Y),2017,3(2):238-246.
[12]Sousa A,Gomar JJ,Goldberg T.Neural and behavioral substrates of disorientation in mild cognitive impairment and Alzheimer's disease.Alzheimers Dement(N Y),2015,1(1):37-45.
[13]Gomar JJ,Conejero-Goldberg C,Davies P,et al.Extension and refinement of the predictive value of different classes of markers in ADNI:Four-year follow-up data.Alzheimers Dement,2014,10(6):704-712.
[14]山黛.长期丰富环境对阿尔兹海默病转基因小鼠大脑结构的影响.北京:中国科学院大学,2013:1-48.
[15]耿媛.高频rTMS改善老龄相关认知障碍的突触可塑性机制及相关代谢物变化.石家庄:河北医科大学,2016:1-50.
[16]马将.重复经颅磁刺激对脑老化相关认知功能损害的影响及机制探讨.石家庄:河北医科大学,2017:1-52.
[17]刘玥,刘芳.经颅电刺激对阿尔兹海默病大鼠学习记忆能力和海马CA1区磷酸化tau蛋白表达情况的影响.中风与神经疾病杂志,2016,33(12):1104-1106.
[18]Kerchner GA,Deutsch GK,Zeineh M,et al.Hippocampal CA1apical neuropil atrophy and memory performance in Alzheimer's disease.Neuroimage,2012,63(1):194-202.
[19]Berron D,Vieweg P,Hochkeppler A,et al.A protocol for manual segmentation of medial temporal lobe subregions in 7Tesla MRI.Neuroimage Clin,2017,15:466-482.
[20]闫瑾.多类型磁共振影像特征融合算法用于阿尔兹海默病早期诊断.重庆:重庆大学,2015:1-32.
[21]吕洋.基于脑MR影像不对称性特征的痴呆症早期诊断方法研究.重庆:重庆大学,2016:1-49.
[22]齐志刚,钱天翼,安彦红,等.联机测量灰质皮层体积在阿尔茨海默病诊断中的应用.中国医学影像技术,2016,32(8):1165-1169.
[23]Qureshi MN,Min B,Jo HJ,et al.Multiclass classification for the differential diagnosis on the ADHD subtypes using recursive feature elimination and hierarchical extreme learning machine:Structural MRI study.PLoS One,2016,11(8):e0160697.
[24]Lama RK,Gwak J,Park JS,et al.Diagnosis of Alzheimer's disease based on structural MRI images using a regularized extreme learning machine and PCA features.J Healthc Eng,2017,2017:5485080.
[25]刘亚男,陈元园,沙淼,等.静息态功能连接网络对大脑不同水平认知衰退的研究进展.生物医学工程学杂志,2017,34(4):632-636.
[26]Nakamura A,Cuesta P,Kato T,et al.Early functional network alterations in asymptomatic elders at risk for Alzheimer's disease.Sci Rep,2017,7(1):6517.
[27]Kang DW,Choi WH,Jung WS,et al.Impact of amyloid burden on regional functional synchronization in the cognitively normal older adults.Sci Rep,2017,7(1):14690.
[28]封亮,聂志余,王湘彬,等.静息态fMRI评价阿尔茨海默患者大脑功能网络效率变化.中国医学影像技术,2013,29(10):1570-1574.
[29]薛爱国.磁共振波谱技术及其量化方法在阿尔兹海默病中海马亚区代谢物分析应用.南京:东南大学,2016:1-32.
[30]翟步中.基于DTI的阿尔兹海默病及轻度认知障碍脑结构网络改变的研究.西安:西安电子科技大学,2015:1-59.
[31]Park JE,Park B,Kim SJ,et al.Improved diagnostic accuracy of Alzheimer's disease by combining regional cortical thickness and default mode network functional connectivity:Validated in the Alzheimer's disease neuroimaging initiative set.Korean JRadiol,2017,18(6):983-991.