Neuroimaging biomarkers: a critical review of their role in neurological disease diagnosis and management

Nitu L. Wankhede , Sushruta Koppula , Payal D. Umare , Mohit D. Umare , Sanket K. Lokhande , Brijesh G. Taksande , Aman B. Upaganlawar , Milind J. Umekar , Spandana Rajendra Kopalli , Mayur B. Kale
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Abstract

Imaging-based biomarkers (IBB)are indispensable in neurology, revealing crucial insights into structural, functional, and molecular changes associated with neurological disorders. Techniques such as MRI, PET, SPECT, and CT yield a diverse array of biomarkers including connectivity patterns, volumetric measurements, and molecular imaging agents. These biomarkers facilitate early diagnosis, disease progression tracking, therapy response prediction, and surgical planning, thereby playing pivotal roles in clinical management. However, integration of IBBs into routine clinical practice faces significant obstacles. Technical constraints, standardization challenges, ethical considerations, regulatory hurdles, and cost-effectiveness concerns all pose substantial barriers. Nevertheless, advancements in imaging technology hold promise in addressing these obstacles. High-resolution imaging, multimodal approaches, and artificial intelligence-based analysis show potential in improving the accuracy and reliability of imaging biomarkers. Despite the need for further research and standardization efforts, ongoing developments in imaging-based biomarkers have the potential to revolutionize the diagnosis, treatment, and management of neurological disorders. By overcoming current challenges and harnessing technological advancements, imaging-based biomarkers are well-positioned to improve our understanding and management of neurological disorders, ultimately leading to better patient outcomes.
神经成像生物标志物:对其在神经疾病诊断和管理中的作用的重要回顾
基于成像的生物标志物(IBB)在神经病学中是不可或缺的,它揭示了与神经系统疾病相关的结构、功能和分子变化的关键见解。MRI、PET、SPECT和CT等技术可以产生各种各样的生物标志物,包括连通性模式、体积测量和分子显像剂。这些生物标志物有助于早期诊断、疾病进展跟踪、治疗反应预测和手术计划,从而在临床管理中发挥关键作用。然而,将IBBs纳入常规临床实践面临着重大障碍。技术限制、标准化挑战、伦理考虑、监管障碍和成本效益问题都构成了实质性的障碍。然而,成像技术的进步为解决这些障碍带来了希望。高分辨率成像、多模态方法和基于人工智能的分析显示出提高成像生物标志物的准确性和可靠性的潜力。尽管需要进一步的研究和标准化工作,但基于成像的生物标志物的持续发展有可能彻底改变神经系统疾病的诊断、治疗和管理。通过克服当前的挑战和利用技术进步,基于成像的生物标志物将很好地改善我们对神经系统疾病的理解和管理,最终带来更好的患者结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Brain disorders (Amsterdam, Netherlands)
Brain disorders (Amsterdam, Netherlands) Neurology, Clinical Neurology
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
51 days
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