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结合的18F-FDG PET-CT标志物在痴呆症中与勒维体

Maria Vittoria Mattoli^1,2, Fabrizio Cocciolillo³, Piero Chiacchiaretta^4,5

¹Department of Neuroscience Imaging and Clinical Sciences University G. d'Annunzio of Chieti-Pescara Chieti Italy.

Alzheimer's & dementia (Amsterdam, Netherlands)

|December 25, 2023

概括

18F--脱氧葡萄糖-正电子发射断层扫描 (FDG-PET) 支持勒维体 (DLB) 诊断痴呆症. 通过机器学习增强的视觉和半定量FDG-PET分析显示,在区分DLB和阿尔茨海默病时,诊断准确度高.

科学领域:

神经学神经学
核医学是一种核医学.
放射学放射学是一门学科.

背景情况:

F--脱氧葡萄糖-正电子发射断层扫描 (F-Fluoro-deoxyglucose-positron emission tomography,FDG-PET) 是诊断患有莱维体痴呆症 (DLB) 的一个关键生物标志物.
像放射学和机器学习 (ML) 等先进的分析技术正在为FDG-PET在DLB诊断中出现.

研究的目的:

评估FDG-PET在区分勒维体痴呆症 (DLB) 和阿尔茨海默病 (AD) 的诊断性能.

主要方法:

分析了61名患者的FDG-PET扫描,使用视觉和半定量方法.
进行放射学和机器学习分析,开发了五种不同的预测模型.
模型包括临床特征,PET特征 (视觉,半定量,放射性) 和组合特征.

主要成果:

对FDG-PET的视觉分析揭示了具有最高诊断准确度 (86.9%) 的DLB特异性迹象.
半定量分析显示,DLB患者在特定大脑区域的葡萄糖吸收显著减少.
机器学习模型2,利用视觉和半定量PET特征,实现了最高的诊断准确度 (84.3%).

结论:

FDG-PET,特别是视觉和半定量分析,是诊断DLB的宝贵工具.
机器学习集成提高了FDG-PET对DLB的诊断准确度.

关键词:

在18F-FDG中.莱维体痴呆症 (Lewy体痴呆症) 是一种疾病.在PET-CT中使用PET-CT.人工智能的人工智能是人工智能.生物标志物生物标志物痴呆症痴呆症是一种痴呆症.机器学习是机器学习.无线电学 (radiomics) 是一种无线电学.

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Positron Emission Tomography

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...