神经系统疾病的 PET 脑成像

IF 13.7 1区 生物学 Q1 BIOLOGY
Lijun Xie , Jihua Zhao , Ye Li , Jie Bai
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引用次数: 0

摘要

脑部疾病是一系列神经元受损或丧失的疾病,如帕金森病(PD)、阿尔茨海默病(AD)或药物依赖。这些患者的认知、运动和其他中枢神经系统功能会逐渐退化。这种退化轨迹与神经递质系统失调密切相关。正电子发射断层扫描(PET)成像采用放射性药物和分子成像技术,是检测大脑生物标志物的重要工具。它为早期诊断和区分脑部疾病提供了宝贵的见解。本文全面回顾了传统和新型 PET 成像剂在诊断脑部疾病方面的应用和进展。此外,文章还对其优点和局限性进行了深入分析。文章还前瞻性地展望了 PET 成像剂诊断脑部疾病的未来发展方向,并提出了潜在的创新策略。文章旨在向临床医生和研究人员全面介绍利用 PET 成像诊断脑部疾病的最新进展和未来趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PET brain imaging in neurological disorders

Brain disorders are a series of conditions with damage or loss of neurons, such as Parkinson's disease (PD), Alzheimer's disease (AD), or drug dependence. These individuals have gradual deterioration of cognitive, motor, and other central nervous system functions affected. This degenerative trajectory is intricately associated with dysregulations in neurotransmitter systems. Positron Emission Tomography (PET) imaging, employing radiopharmaceuticals and molecular imaging techniques, emerges as a crucial tool for detecting brain biomarkers. It offers invaluable insights for early diagnosis and distinguishing brain disorders. This article comprehensively reviews the application and progress of conventional and novel PET imaging agents in diagnosing brain disorders. Furthermore, it conducts a thorough analysis on merits and limitations. The article also provides a forward-looking perspective in the future development directions of PET imaging agents for diagnosing brain disorders and proposes potential innovative strategies. It aims to furnish clinicians and researchers with an all-encompassing overview of the latest advancements and forthcoming trends in the utilization of PET imaging for diagnosing brain disorders.

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来源期刊
Physics of Life Reviews
Physics of Life Reviews 生物-生物物理
CiteScore
20.30
自引率
14.50%
发文量
52
审稿时长
8 days
期刊介绍: Physics of Life Reviews, published quarterly, is an international journal dedicated to review articles on the physics of living systems, complex phenomena in biological systems, and related fields including artificial life, robotics, mathematical bio-semiotics, and artificial intelligent systems. Serving as a unifying force across disciplines, the journal explores living systems comprehensively—from molecules to populations, genetics to mind, and artificial systems modeling these phenomena. Inviting reviews from actively engaged researchers, the journal seeks broad, critical, and accessible contributions that address recent progress and sometimes controversial accounts in the field.
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