Suppr超能文献

利用F-18 FDG PET/CT上的代谢表型对神经退行性痴呆进行鉴别诊断。

Differential diagnosis of neurodegenerative dementias using metabolic phenotypes on F-18 FDG PET/CT.

作者信息

Tripathi Madhavi, Tripathi Manjari, Damle Nishikant, Kushwaha Suman, Jaimini Abhinav, D'Souza Maria M, Sharma Rajnish, Saw Sanjiv, Mondal Anupam

机构信息

AIIMS, All India Institute of Medical Sciences; New Delhi, Delhi, India -

AIIMS, All India Institute of Medical Sciences; New Delhi, Delhi, India.

出版信息

Neuroradiol J. 2014 Feb;27(1):13-21. doi: 10.15274/NRJ-2014-10002. Epub 2014 Feb 24.

Abstract

Positron emission tomography (PET) imaging with F-18 fluorodeoxyglucose (FDG) can be used as a downstream marker of neuronal injury, a hallmark of neurodegenerative dementias. Characteristic patterns of regional glucose metabolism have been used to classify the dementia subtypes, namely Alzheimer's dementia (AD), frontotemporal dementia (FTD), diffuse Lewy body (DLBD) and vascular dementia (VD). We undertook this study to assess the utility of FDG-PET in the differential diagnosis of dementia subtypes. One hundred and twenty-five patients diagnosed with dementia were referred from cognitive disorders and memory clinics of speciality neurology centres for the FDG-PET study. Imaging-based diagnosis of dementia type was established in 101 patients by visual assessment of individual scans by a PET physician blinded to the clinical diagnosis. The results were compared with an 18-month follow-up clinical assessment made by the specialist neurologist. Concordance of visual evaluation of FDG-PET scans with clinical diagnosis of the dementia type was achieved in 90% of patients scanned. This concordance was 93.4% for AD, 88.8% for FTD, 66.6% for DLBD and 92.3% for the other dementia syndromes. FDG-PET performed after the initial work-up of dementias is useful for supporting the clinical diagnosis of dementia subtype.

摘要

使用F-18氟脱氧葡萄糖(FDG)的正电子发射断层扫描(PET)成像可作为神经元损伤的下游标志物,这是神经退行性痴呆的一个标志。区域葡萄糖代谢的特征模式已被用于对痴呆亚型进行分类,即阿尔茨海默病性痴呆(AD)、额颞叶痴呆(FTD)、弥漫性路易体痴呆(DLBD)和血管性痴呆(VD)。我们进行这项研究以评估FDG-PET在痴呆亚型鉴别诊断中的效用。125名被诊断为痴呆的患者从专业神经科中心的认知障碍和记忆诊所转诊来进行FDG-PET研究。由一名对临床诊断不知情的PET医师通过对个体扫描进行视觉评估,在101名患者中确立了基于成像的痴呆类型诊断。将结果与专科神经科医生进行的18个月随访临床评估进行比较。在90%的扫描患者中,FDG-PET扫描的视觉评估与痴呆类型的临床诊断达成一致。AD的一致性为93.4%,FTD为88.8%,DLBD为66.6%,其他痴呆综合征为92.3%。在痴呆的初始检查之后进行的FDG-PET对支持痴呆亚型的临床诊断是有用的。

相似文献

1
Differential diagnosis of neurodegenerative dementias using metabolic phenotypes on F-18 FDG PET/CT.
Neuroradiol J. 2014 Feb;27(1):13-21. doi: 10.15274/NRJ-2014-10002. Epub 2014 Feb 24.
2
Impact of molecular imaging on the diagnostic process in a memory clinic.
Alzheimers Dement. 2013 Jul;9(4):414-21. doi: 10.1016/j.jalz.2012.07.003. Epub 2012 Nov 16.
3
Evaluating 2-[F]FDG-PET in differential diagnosis of dementia using a data-driven decision model.
Neuroimage Clin. 2020;27:102267. doi: 10.1016/j.nicl.2020.102267. Epub 2020 Apr 24.
7
Amygdala sign, a FDG-PET signature of dementia with Lewy Bodies.
Parkinsonism Relat Disord. 2019 Jul;64:300-303. doi: 10.1016/j.parkreldis.2019.03.005. Epub 2019 Mar 15.
10
Clinical utility of 18F-FDG-PET/MRI brain in dementia: Preliminary experience from a geriatric clinic in South India.
Asian J Psychiatr. 2019 Aug;44:99-105. doi: 10.1016/j.ajp.2019.07.001. Epub 2019 Jul 12.

引用本文的文献

2
FDG-PET Image Classification in Alzheimer's Disease: from Traditional Visual Analysis to Advanced Transfer Learning.
Nucl Med Mol Imaging. 2025 Jun;59(3):201-208. doi: 10.1007/s13139-025-00908-2. Epub 2025 Feb 24.
3
The Usefulness of F-FDG PET to Differentiate Subtypes of Dementia: The Systematic Review and Meta-Analysis.
Dement Neurocogn Disord. 2024 Jan;23(1):54-66. doi: 10.12779/dnd.2024.23.1.54. Epub 2024 Jan 31.
4
The use of neuroimaging techniques in the early and differential diagnosis of dementia.
Mol Psychiatry. 2023 Oct;28(10):4084-4097. doi: 10.1038/s41380-023-02215-8. Epub 2023 Aug 22.
6
Illustrated Neuropathologic Diagnosis of Alzheimer's Disease.
Neurol Int. 2023 Jul 12;15(3):857-867. doi: 10.3390/neurolint15030054.
7
Depletion and activation of microglia impact metabolic connectivity of the mouse brain.
J Neuroinflammation. 2023 Feb 24;20(1):47. doi: 10.1186/s12974-023-02735-8.
8
Automated differential diagnosis of dementia syndromes using FDG PET and machine learning.
Front Aging Neurosci. 2022 Nov 2;14:1005731. doi: 10.3389/fnagi.2022.1005731. eCollection 2022.
9
Aberrant Topological Patterns of Structural Covariance Networks in Cognitively Normal Elderly Adults With Mild Behavioral Impairment.
Front Neuroanat. 2021 Sep 29;15:738100. doi: 10.3389/fnana.2021.738100. eCollection 2021.
10
The Clinical Spectrum of Young Onset Dementia Points to Its Stochastic Origins.
J Alzheimers Dis Rep. 2021 Aug 26;5(1):663-679. doi: 10.3233/ADR-210309. eCollection 2021.

本文引用的文献

2
Spectrum of neurocognitive dysfunction in Indian population on FDG PET/CT imaging.
Indian J Nucl Med. 2011 Apr;26(2):67-77. doi: 10.4103/0972-3919.90255.
3
Tc-99m ethylcysteinate dimer SPECT in the differential diagnosis of dementias.
Neurol India. 2010 Nov-Dec;58(6):857-62. doi: 10.4103/0028-3886.73745.
4
The value of PET in mild cognitive impairment, typical and atypical/unclear dementias: A retrospective memory clinic study.
Am J Alzheimers Dis Other Demen. 2010 Jun;25(4):324-32. doi: 10.1177/1533317510363468.
6
What does fluorodeoxyglucose PET imaging add to a clinical diagnosis of dementia?
Neurology. 2007 Aug 28;69(9):871-7. doi: 10.1212/01.wnl.0000269790.05105.16.
7
FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer's disease.
Brain. 2007 Oct;130(Pt 10):2616-35. doi: 10.1093/brain/awm177. Epub 2007 Aug 18.
8
Longitudinal changes of cerebral glucose metabolism in semantic dementia.
Dement Geriatr Cogn Disord. 2006;22(4):346-51. doi: 10.1159/000095624. Epub 2006 Sep 4.
9
Diagnosis and management of dementia with Lewy bodies: third report of the DLB Consortium.
Neurology. 2005 Dec 27;65(12):1863-72. doi: 10.1212/01.wnl.0000187889.17253.b1. Epub 2005 Oct 19.
10
Alzheimer disease: operating characteristics of PET--a meta-analysis.
Radiology. 2004 Apr;231(1):73-80. doi: 10.1148/radiol.2311021620. Epub 2004 Feb 27.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验