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使用支持向量机分析弥散张量成像数据对帕金森病患者进行个体检测:初步结果。

Individual detection of patients with Parkinson disease using support vector machine analysis of diffusion tensor imaging data: initial results.

机构信息

Service Neuro-Diagnostique et Neuro-Interventionnel, Département de l'Imagerie et Science de l'Information Médical, University Hospitals of Geneva, Geneva, Switzerland.

出版信息

AJNR Am J Neuroradiol. 2012 Dec;33(11):2123-8. doi: 10.3174/ajnr.A3126. Epub 2012 May 31.

DOI:10.3174/ajnr.A3126
PMID:22653326
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7965604/
Abstract

BACKGROUND AND PURPOSE

Brain MR imaging is routinely performed in the work-up of suspected PD, yet its role is essentially limited to the exclusion of other pathologies. We performed a pattern-recognition analysis based on DTI data to detect subjects with PD at the individual level.

MATERIALS AND METHODS

We included 40 consecutive patients with Parkinsonism suggestive of PD who had DTI at 3T, brain (123)I ioflupane SPECT (DaTSCAN), and extensive neurologic testing including follow-up (17 PD: age range, 67.8 ± 6.7 years; 9 women; 23 Other: consisting of atypical forms of Parkinsonism; age range, 67.2 ± 9.7 years; 7 women). Data analysis included group-level TBSS and individual-level SVM classification.

RESULTS

At the group level, patients with PD versus Other had spatially consistent increase in FA and decrease in RD and MD in a bilateral network, predominantly in the right frontal white matter. At the individual level, SVM correctly classified patients with PD at the individual level with accuracies up to 97%.

CONCLUSIONS

Support vector machine-based pattern recognition of DTI data provides highly accurate detection of patients with PD among those with suspected PD at an individual level, which is potentially clinically applicable. Because most suspected subjects with PD undergo brain MR imaging, already existing MR imaging data may be reused; this practice is very cost-efficient.

摘要

背景与目的

脑磁共振成像(MR 成像)在疑似帕金森病(PD)的检查中常规进行,但它的作用主要限于排除其他病变。我们进行了一项基于弥散张量成像(DTI)数据的模式识别分析,以在个体水平上检测 PD 患者。

材料与方法

我们纳入了 40 例连续的帕金森病样运动障碍患者,这些患者在 3T 磁共振成像仪上行 DTI 检查,并行脑(123)碘代异丙基安非他命 SPECT(DaTSCAN)检查和广泛的神经学测试,包括随访(17 例 PD:年龄范围为 67.8±6.7 岁;9 例女性;23 例其他:包括不典型帕金森病形式;年龄范围为 67.2±9.7 岁;7 例女性)。数据分析包括组水平 TBSS 和个体水平 SVM 分类。

结果

在组水平上,PD 患者与其他患者相比,双侧额顶叶白质存在 FA 值升高、 RD 值和 MD 值降低的空间一致性改变。在个体水平上,SVM 能够以高达 97%的准确率正确分类 PD 患者。

结论

基于支持向量机的 DTI 数据分析可以在个体水平上高度准确地检测疑似 PD 患者中的 PD 患者,这具有潜在的临床应用价值。因为大多数疑似 PD 患者已经进行了脑 MR 成像,所以可以重复使用已有的 MR 成像数据;这种做法非常具有成本效益。

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本文引用的文献

1
Structural brain abnormalities in patients with Parkinson disease: a comparative voxel-based analysis using T1-weighted MR imaging and magnetization transfer imaging.帕金森病患者的结构性脑异常:基于体素的 T1 加权磁共振成像和磁化传递成像比较分析。
AJNR Am J Neuroradiol. 2011 Dec;32(11):2080-6. doi: 10.3174/ajnr.A2837. Epub 2011 Nov 11.
2
Differentiation of typical and atypical Parkinson syndromes by quantitative MR imaging.基于定量磁共振成像对典型和非典型帕金森综合征的鉴别诊断。
AJNR Am J Neuroradiol. 2011 Dec;32(11):2087-92. doi: 10.3174/ajnr.A2865. Epub 2011 Oct 13.
3
Principles of classification analyses in mild cognitive impairment (MCI) and Alzheimer disease.轻度认知障碍 (MCI) 和阿尔茨海默病的分类分析原则。
J Alzheimers Dis. 2011;26 Suppl 3:389-94. doi: 10.3233/JAD-2011-0014.
4
SVM feature selection based rotation forest ensemble classifiers to improve computer-aided diagnosis of Parkinson disease.基于 SVM 特征选择的旋转森林集成分类器提高帕金森病的计算机辅助诊断。
J Med Syst. 2012 Aug;36(4):2141-7. doi: 10.1007/s10916-011-9678-1. Epub 2011 Mar 10.
5
Combined analysis of grey matter voxel-based morphometry and white matter tract-based spatial statistics in late-life bipolar disorder.老年期双相障碍的基于体素的灰质形态计量学和基于白质束的空间统计学的联合分析。
J Psychiatry Neurosci. 2011 Nov;36(6):391-401. doi: 10.1503/jpn.100140.
6
Individual voxel-based subtype prediction can differentiate progressive supranuclear palsy from idiopathic Parkinson syndrome and healthy controls.基于体素的个体亚型预测可区分进行性核上性麻痹与特发性帕金森综合征和健康对照。
Hum Brain Mapp. 2011 Nov;32(11):1905-15. doi: 10.1002/hbm.21161. Epub 2011 Jan 18.
7
White matter damage in Alzheimer disease and its relationship to gray matter atrophy.阿尔茨海默病中的脑白质损伤及其与灰质萎缩的关系。
Radiology. 2011 Mar;258(3):853-63. doi: 10.1148/radiol.10101284. Epub 2010 Dec 21.
8
Cerebral microhemorrhage and iron deposition in mild cognitive impairment: susceptibility-weighted MR imaging assessment.轻度认知障碍患者的脑微出血和铁沉积:磁共振成像评估。
Radiology. 2010 Dec;257(3):764-73. doi: 10.1148/radiol.10100612. Epub 2010 Oct 5.
9
Individual prediction of cognitive decline in mild cognitive impairment using support vector machine-based analysis of diffusion tensor imaging data.基于支持向量机的弥散张量成像数据分析对轻度认知障碍认知下降的个体预测。
J Alzheimers Dis. 2010;22(1):315-27. doi: 10.3233/JAD-2010-100840.
10
White matter microstructure changes in the thalamus in Parkinson disease with depression: A diffusion tensor MR imaging study.帕金森病伴抑郁患者丘脑的脑白质微观结构变化:一项弥散张量磁共振成像研究。
AJNR Am J Neuroradiol. 2010 Nov;31(10):1861-6. doi: 10.3174/ajnr.A2195. Epub 2010 Aug 12.