• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

早期阿尔茨海默病诊断指南:诊断创新综合综述

Navigating Early Alzheimer's Diagnosis: A Comprehensive Review of Diagnostic Innovations.

作者信息

Juganavar Anup, Joshi Abhishek, Shegekar Tejas

机构信息

Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.

Community Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.

出版信息

Cureus. 2023 Sep 9;15(9):e44937. doi: 10.7759/cureus.44937. eCollection 2023 Sep.

DOI:10.7759/cureus.44937
PMID:37818489
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10561010/
Abstract

The hunt for early Alzheimer's disease detection has created cutting-edge diagnostic instruments with enormous promise. This article examines the many facets of these developments, focusing on how they have revolutionised diagnosis and patient outcomes. These tools make it possible to detect tiny brain changes even before they give birth to clinical symptoms by combining cutting-edge biomarkers, neuroimaging methods, and machine-learning algorithms. A significant opportunity for therapies that can slow the course of the disease exists during this early detection stage. Additionally, these cutting-edge techniques improve diagnostic precision, objectivity, and accessibility. Liquid biopsies and blood-based biomarkers provide non-invasive alternatives, filling accessibility gaps in diagnosis. While issues with standardisation, ethics, and data integration continue, collaboration within research, clinical practice, and policy realms fuels positive developments. As technology advances, the way towards better Alzheimer's diagnosis becomes more evident, giving patients and families dealing with this difficult illness fresh hope. The synergy between scientific advancement and compassionate treatment is crucial for improving Alzheimer's disease diagnosis, as this paper emphasises.

摘要

对早期阿尔茨海默病检测方法的探索催生了具有巨大潜力的前沿诊断工具。本文探讨了这些进展的多个方面,重点关注它们如何彻底改变了诊断方式以及患者的治疗结果。通过结合前沿的生物标志物、神经成像方法和机器学习算法,这些工具甚至能够在微小的脑部变化引发临床症状之前就检测到它们。在这个早期检测阶段,存在着开发能够减缓疾病进程的疗法的重大机遇。此外,这些前沿技术提高了诊断的准确性、客观性和可及性。液体活检和基于血液的生物标志物提供了非侵入性的替代方法,填补了诊断中的可及性空白。虽然标准化、伦理和数据整合等问题依然存在,但研究、临床实践和政策领域的合作推动了积极的发展。随着技术的进步,通往更好的阿尔茨海默病诊断的道路变得更加清晰,为与这种疑难病症作斗争的患者和家庭带来了新的希望。正如本文所强调的,科学进步与人文关怀之间的协同作用对于改善阿尔茨海默病的诊断至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3701/10561010/bcb0bb2ba4f0/cureus-0015-00000044937-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3701/10561010/bcb0bb2ba4f0/cureus-0015-00000044937-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3701/10561010/bcb0bb2ba4f0/cureus-0015-00000044937-i01.jpg

相似文献

1
Navigating Early Alzheimer's Diagnosis: A Comprehensive Review of Diagnostic Innovations.早期阿尔茨海默病诊断指南:诊断创新综合综述
Cureus. 2023 Sep 9;15(9):e44937. doi: 10.7759/cureus.44937. eCollection 2023 Sep.
2
3
Tau biomarkers in Alzheimer's disease: towards implementation in clinical practice and trials.阿尔茨海默病中的 Tau 生物标志物:迈向临床实践和试验的应用。
Lancet Neurol. 2022 Aug;21(8):726-734. doi: 10.1016/S1474-4422(22)00168-5. Epub 2022 May 25.
4
The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
5
Challenges in the practical implementation of blood biomarkers for Alzheimer's disease.阿尔茨海默病血液生物标志物实际应用中的挑战。
Lancet Healthy Longev. 2024 Oct;5(10):100630. doi: 10.1016/j.lanhl.2024.07.013. Epub 2024 Oct 3.
6
A how-to guide for a precision medicine approach to the diagnosis and treatment of Alzheimer's disease.阿尔茨海默病诊断与治疗的精准医学方法操作指南。
Front Aging Neurosci. 2023 Aug 17;15:1213968. doi: 10.3389/fnagi.2023.1213968. eCollection 2023.
7
Neuroimaging in Alzheimer's disease: current role in clinical practice and potential future applications.阿尔茨海默病的神经影像学:当前在临床实践中的作用和潜在的未来应用。
Clinics (Sao Paulo). 2011;66 Suppl 1(Suppl 1):19-24. doi: 10.1590/s1807-59322011001300003.
8
Machine Learning Algorithm Helps Identify Non-Diagnosed Prodromal Alzheimer's Disease Patients in the General Population.机器学习算法有助于在普通人群中识别未被诊断的前驱期阿尔茨海默病患者。
J Prev Alzheimers Dis. 2019;6(3):185-191. doi: 10.14283/jpad.2019.10.
9
Decoding degeneration: the implementation of machine learning for clinical detection of neurodegenerative disorders.解读神经退行性病变:机器学习在神经退行性疾病临床检测中的应用
Neural Regen Res. 2023 Jun;18(6):1235-1242. doi: 10.4103/1673-5374.355982.
10
Identification of blood biomarkers for use in point of care diagnosis tool for Alzheimer's disease.用于阿尔茨海默病即时诊断工具的血液生物标志物的鉴定。
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:2415-2418. doi: 10.1109/EMBC.2016.7591217.

引用本文的文献

1
Real-world use of diagnostic tests for mild cognitive impairment, Alzheimer's disease, and other dementias in Medicare fee-for-service beneficiaries.医疗保险按服务收费受益人群中用于轻度认知障碍、阿尔茨海默病及其他痴呆症的诊断测试的实际应用情况。
Alzheimers Dement (Amst). 2025 Aug 4;17(3):e70156. doi: 10.1002/dad2.70156. eCollection 2025 Jul-Sep.
2
Alzheimer's Disease Etiology Hypotheses and Therapeutic Strategies: A Perspective.阿尔茨海默病的病因假说与治疗策略:一种观点
Int J Mol Sci. 2025 Jul 20;26(14):6980. doi: 10.3390/ijms26146980.
3
Assessment of individual retinal layer thickness and vascular changes in Alzheimer's disease.

本文引用的文献

1
Transfer Learning for Alzheimer's Disease through Neuroimaging Biomarkers: A Systematic Review.基于神经影像学生物标志物的阿尔茨海默病的迁移学习:系统综述。
Sensors (Basel). 2021 Oct 31;21(21):7259. doi: 10.3390/s21217259.
2
Diagnosis and Treatment of Alzheimer's Disease:: An Update.阿尔茨海默病的诊断与治疗:最新进展
Dela J Public Health. 2021 Sep 27;7(4):74-85. doi: 10.32481/djph.2021.09.009. eCollection 2021 Sep.
3
Imaging Techniques in Alzheimer's Disease: A Review of Applications in Early Diagnosis and Longitudinal Monitoring.
阿尔茨海默病患者视网膜各层厚度及血管变化的评估
Sci Rep. 2025 May 19;15(1):17287. doi: 10.1038/s41598-025-02377-1.
4
Ensemble Learning-Based Alzheimer's Disease Classification Using Electroencephalogram Signals and Clock Drawing Test Images.基于集成学习的阿尔茨海默病分类:利用脑电图信号和画钟测试图像
Sensors (Basel). 2025 May 2;25(9):2881. doi: 10.3390/s25092881.
5
Early detection of Alzheimer's disease using deep learning methods.使用深度学习方法早期检测阿尔茨海默病。
Alzheimers Dement. 2025 May;21(5):e70175. doi: 10.1002/alz.70175.
6
Editorial: Targeting mitochondrial dysfunction for the diagnosis and treatment of Alzheimer's and cognitive-related diseases.社论:针对线粒体功能障碍进行阿尔茨海默病及认知相关疾病的诊断与治疗
Front Pharmacol. 2024 Jul 15;15:1455646. doi: 10.3389/fphar.2024.1455646. eCollection 2024.
7
A Severe Alzheimer's Disease Patient Improved by Intravenous Mesenchymal Stem Cell Transplant.一名重度阿尔茨海默病患者通过静脉注射间充质干细胞移植得到改善。
Case Rep Neurol Med. 2024 Jul 15;2024:8353492. doi: 10.1155/2024/8353492. eCollection 2024.
8
Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis.人工智能在阿尔茨海默病早期诊断中的眼动分析。
Curr Alzheimer Res. 2024;21(3):155-165. doi: 10.2174/0115672050322607240529075641.
阿尔茨海默病的影像学技术:在早期诊断和纵向监测中的应用综述。
Int J Mol Sci. 2021 Feb 20;22(4):2110. doi: 10.3390/ijms22042110.
4
Molecular and Imaging Biomarkers in Alzheimer's Disease: A Focus on Recent Insights.阿尔茨海默病中的分子和成像生物标志物:聚焦近期见解
J Pers Med. 2020 Jul 10;10(3):61. doi: 10.3390/jpm10030061.
5
Conceptualizing mental disorders as deviations from normative functioning.将精神障碍概念化为偏离正常功能。
Mol Psychiatry. 2019 Oct;24(10):1415-1424. doi: 10.1038/s41380-019-0441-1. Epub 2019 Jun 14.
6
Parkinson's and Lewy body dementia CSF biomarkers.帕金森病和路易体痴呆的脑脊液生物标志物。
Clin Chim Acta. 2019 Aug;495:318-325. doi: 10.1016/j.cca.2019.04.078. Epub 2019 Apr 30.
7
Association Between Longitudinal Plasma Neurofilament Light and Neurodegeneration in Patients With Alzheimer Disease.阿尔茨海默病患者纵向血浆神经丝轻链与神经退行性变的关系。
JAMA Neurol. 2019 Jul 1;76(7):791-799. doi: 10.1001/jamaneurol.2019.0765.
8
Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer's disease.血清神经丝动态预测无症状阿尔茨海默病的神经退行性变和临床进展。
Nat Med. 2019 Feb;25(2):277-283. doi: 10.1038/s41591-018-0304-3. Epub 2019 Jan 21.
9
Current state of Alzheimer's fluid biomarkers.阿尔茨海默病的体液生物标志物现状。
Acta Neuropathol. 2018 Dec;136(6):821-853. doi: 10.1007/s00401-018-1932-x. Epub 2018 Nov 28.
10
Blood-based biomarkers for Alzheimer disease: mapping the road to the clinic.阿尔茨海默病的基于血液的生物标志物:为走向临床铺平道路。
Nat Rev Neurol. 2018 Nov;14(11):639-652. doi: 10.1038/s41582-018-0079-7.