通过磁共振成像的模式分类检测前驱性阿尔茨海默病。
Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging.
作者信息
Davatzikos Christos, Fan Yong, Wu Xiaoying, Shen Dinggang, Resnick Susan M
机构信息
Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
出版信息
Neurobiol Aging. 2008 Apr;29(4):514-23. doi: 10.1016/j.neurobiolaging.2006.11.010. Epub 2006 Dec 14.
Abstract
We report evidence that computer-based high-dimensional pattern classification of magnetic resonance imaging (MRI) detects patterns of brain structure characterizing mild cognitive impairment (MCI), often a prodromal phase of Alzheimer's disease (AD). Ninety percent diagnostic accuracy was achieved, using cross-validation, for 30 participants in the Baltimore Longitudinal Study of Aging. Retrospective evaluation of serial scans obtained during prior years revealed gradual increases in structural abnormality for the MCI group, often before clinical symptoms, but slower increase for individuals remaining cognitively normal. Detecting complex patterns of brain abnormality in very early stages of cognitive impairment has pivotal importance for the detection and management of AD.
摘要
我们报告了这样的证据
基于计算机的磁共振成像（MRI）高维模式分类能够检测出表征轻度认知障碍（MCI）的脑结构模式，而MCI通常是阿尔茨海默病（AD）的前驱阶段。在巴尔的摩衰老纵向研究中，对30名参与者进行交叉验证后，诊断准确率达到了90%。对前几年获取的系列扫描进行回顾性评估发现，MCI组的结构异常逐渐增加，通常在出现临床症状之前，但认知保持正常的个体结构异常增加较慢。在认知障碍的极早期阶段检测出复杂的脑异常模式对于AD的检测和管理至关重要。
相似文献
1
Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging.
Neurobiol Aging. 2008 Apr;29(4):514-23. doi: 10.1016/j.neurobiolaging.2006.11.010. Epub 2006 Dec 14.
2
Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index.
Brain. 2009 Aug;132(Pt 8):2026-35. doi: 10.1093/brain/awp091. Epub 2009 May 4.
3
Local MRI analysis approach in the diagnosis of early and prodromal Alzheimer's disease.
Neuroimage. 2011 Sep 15;58(2):469-80. doi: 10.1016/j.neuroimage.2011.05.083. Epub 2011 Jun 16.
4
Structural and functional biomarkers of prodromal Alzheimer's disease: a high-dimensional pattern classification study.
Neuroimage. 2008 Jun;41(2):277-85. doi: 10.1016/j.neuroimage.2008.02.043. Epub 2008 Mar 6.
5
Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI.
Neuroimage. 2009 Feb 15;44(4):1415-22. doi: 10.1016/j.neuroimage.2008.10.031. Epub 2008 Nov 5.
6
Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease.
Neuroimage. 2010 Mar;50(1):162-74. doi: 10.1016/j.neuroimage.2009.11.046. Epub 2009 Dec 2.
7
3D maps from multiple MRI illustrate changing atrophy patterns as subjects progress from mild cognitive impairment to Alzheimer's disease.
Brain. 2007 Jul;130(Pt 7):1777-86. doi: 10.1093/brain/awm112. Epub 2007 May 28.
8
Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline.
Neuroimage. 2008 Feb 15;39(4):1731-43. doi: 10.1016/j.neuroimage.2007.10.031. Epub 2007 Nov 1.
9
Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort.
Curr Alzheimer Res. 2009 Aug;6(4):347-61. doi: 10.2174/156720509788929273.
10
Prognostic classification of mild cognitive impairment and Alzheimer's disease: MRI independent component analysis.
Psychiatry Res. 2014 Nov 30;224(2):81-8. doi: 10.1016/j.pscychresns.2014.08.005. Epub 2014 Aug 17.
引用本文的文献
1
Analyzing heterogeneity in Alzheimer disease using multimodal normative modeling on imaging-based ATN biomarkers.
Alzheimers Dement. 2025 Apr;21(4):e70143. doi: 10.1002/alz.70143.
2
Alzheimer's disease image classification based on enhanced residual attention network.
PLoS One. 2025 Jan 27;20(1):e0317376. doi: 10.1371/journal.pone.0317376. eCollection 2025.
3
Early diagnosis of Alzheimer's disease and mild cognitive impairment using MRI analysis and machine learning algorithms.
Discov Appl Sci. 2025;7(1):27. doi: 10.1007/s42452-024-06440-w. Epub 2024 Dec 18.
4
Recognition of Conus species using a combined approach of supervised learning and deep learning-based feature extraction.
PLoS One. 2024 Dec 9;19(12):e0313329. doi: 10.1371/journal.pone.0313329. eCollection 2024.
5
Baseline multimodal imaging to predict longitudinal clinical decline in atypical Alzheimer's disease.
Cortex. 2024 Nov;180:18-34. doi: 10.1016/j.cortex.2024.07.020. Epub 2024 Sep 11.
6
Neuroanatomical and clinical factors predicting future cognitive impairment.
Geroscience. 2025 Feb;47(1):915-934. doi: 10.1007/s11357-024-01310-0. Epub 2024 Aug 17.
7
Analyzing heterogeneity in Alzheimer Disease using multimodal normative modeling on imaging-based ATN biomarkers.
ArXiv. 2024 Jul 1:arXiv:2404.05748v2.
8
Brain structural indicators of β-amyloid neuropathology.
Neurobiol Aging. 2024 Apr;136:157-170. doi: 10.1016/j.neurobiolaging.2024.01.005. Epub 2024 Jan 18.
9
Artificial intelligence technology in Alzheimer's disease research.
Intractable Rare Dis Res. 2023 Nov;12(4):208-212. doi: 10.5582/irdr.2023.01091.
10
Early Stage Detection of Alzheimer's Disease With Microsoft Azure Based Deep Learning.
Res Sq. 2023 Nov 17:rs.3.rs-3352620. doi: 10.21203/rs.3.rs-3352620/v1.
本文引用的文献
1
Classification of structural images via high-dimensional image warping, robust feature extraction, and SVM.
Med Image Comput Comput Assist Interv. 2005;8(Pt 1):1-8. doi: 10.1007/11566465_1.
2
In vivo neuropathology of the hippocampal formation in AD: a radial mapping MR-based study.
Neuroimage. 2006 Aug 1;32(1):104-10. doi: 10.1016/j.neuroimage.2006.03.015. Epub 2006 May 2.
3
Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities.
Arch Gen Psychiatry. 2005 Nov;62(11):1218-27. doi: 10.1001/archpsyc.62.11.1218.
4
Abnormalities of hippocampal surface structure in very mild dementia of the Alzheimer type.
Neuroimage. 2006 Mar;30(1):52-60. doi: 10.1016/j.neuroimage.2005.09.017. Epub 2005 Oct 21.
5
Classifying spatial patterns of brain activity with machine learning methods: application to lie detection.
Neuroimage. 2005 Nov 15;28(3):663-8. doi: 10.1016/j.neuroimage.2005.08.009. Epub 2005 Oct 5.
6
White matter changes in mild cognitive impairment and AD: A diffusion tensor imaging study.
Neurobiol Aging. 2006 May;27(5):663-72. doi: 10.1016/j.neurobiolaging.2005.03.026. Epub 2005 Jul 7.
7
MRI predictors of risk of incident Alzheimer disease: a longitudinal study.
Neurology. 2005 May 10;64(9):1520-4. doi: 10.1212/01.WNL.0000160089.43264.1A.
8
Global and local gray matter loss in mild cognitive impairment and Alzheimer's disease.
Neuroimage. 2004 Oct;23(2):708-16. doi: 10.1016/j.neuroimage.2004.07.006.
9
Hippocampal neurons in pre-clinical Alzheimer's disease.
Neurobiol Aging. 2004 Oct;25(9):1205-12. doi: 10.1016/j.neurobiolaging.2003.12.005.
10
Advances in the early detection of Alzheimer's disease.
Nat Med. 2004 Jul;10 Suppl:S34-41. doi: 10.1038/nrn1433.
Zotero 插件