Akram Ahmed S, Grezenko Han, Singh Prem, Ahmed Muhammad, Hassan Baran Dilshad, Hagenahalli Anand Vibhavari, Elashry Abdelrahman A, Nazir Faran, Khan Rehman
Psychiatry, Faisalabad Medical University, Faisalabad, PAK.
Medicine and Surgery, Guangxi Medical University, Nanning, CHN.
Cureus. 2024 May 29;16(5):e61335. doi: 10.7759/cureus.61335. eCollection 2024 May.
Alzheimer's and Parkinson's diseases are among the most prevalent neurodegenerative conditions affecting aging populations globally, presenting significant challenges in early diagnosis and management. This narrative review explores the pivotal role of advanced neuroimaging techniques in detecting and managing these diseases at early stages, potentially slowing their progression through timely interventions. Recent advancements in MRI, such as ultra-high-field systems and functional MRI, have enhanced the sensitivity for detecting subtle structural and functional changes. Additionally, the development of novel amyloid-beta tracers and other emerging modalities like optical imaging and transcranial ultrasonography have improved the diagnostic accuracy and capability of existing methods. This review highlights the clinical applications of these technologies in Alzheimer's and Parkinson's diseases, where they have shown improved diagnostic performance, enabling earlier intervention and better prognostic outcomes. Moreover, the integration of artificial intelligence (AI) and longitudinal research is emerging as a promising enhancement to refine early detection strategies further. However, this review also addresses the technical, ethical, and accessibility challenges in the field, advocating for the more extensive use of advanced imaging technologies to overcome these barriers. Finally, we emphasize the need for a holistic approach that incorporates both neurological and psychiatric perspectives, which is crucial for optimizing patient care and outcomes in the management of neurodegenerative diseases.
阿尔茨海默病和帕金森病是全球影响老年人群的最常见神经退行性疾病,在早期诊断和管理方面带来了重大挑战。本叙述性综述探讨了先进神经影像学技术在早期检测和管理这些疾病中的关键作用,通过及时干预有可能减缓其进展。磁共振成像(MRI)的最新进展,如超高场系统和功能MRI,提高了检测细微结构和功能变化的灵敏度。此外,新型淀粉样蛋白β示踪剂以及光学成像和经颅超声检查等其他新兴技术的发展,提高了现有方法的诊断准确性和能力。本综述强调了这些技术在阿尔茨海默病和帕金森病中的临床应用,它们已显示出改善的诊断性能,能够实现早期干预并获得更好的预后结果。此外,人工智能(AI)与纵向研究的整合正成为进一步完善早期检测策略的有前景的增强手段。然而,本综述也讨论了该领域的技术、伦理和可及性挑战,主张更广泛地使用先进成像技术来克服这些障碍。最后,我们强调需要一种结合神经学和精神病学观点的整体方法,这对于优化神经退行性疾病管理中的患者护理和结果至关重要。