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肿瘤诊断与监测的渐进方法:基于实时阻抗的技术和先进算法

Progressive Approaches in Oncological Diagnosis and Surveillance: Real-Time Impedance-Based Techniques and Advanced Algorithms.

作者信息

Ramaswamy Viswambari Devi, Keidar Michael

机构信息

Micropropulsion and Nanotechnology Laboratory, School of Engineering and Applied Science, George Washington University, Washington, DC, USA.

出版信息

Bioelectromagnetics. 2025 Jan;46(1):e22540. doi: 10.1002/bem.22540.

Abstract

Cancer remains a formidable global health challenge, necessitating the development of innovative diagnostic techniques capable of early detection and differentiation of tumor/cancerous cells from their healthy counterparts. This review focuses on the confluence of advanced computational algorithms with noninvasive, label-free impedance-based biophysical methodologies-techniques that assess biological processes directly without the need for external markers or dyes. This review elucidates a diverse array of state-of-the-art impedance-based technologies, illuminating distinct electrical signatures inherent to cancer vs healthy tissues. Additionally, the study probes the transformative potential of these diagnostic modalities in recalibrating personalized cancer treatment paradigms. These modalities offer real-time insights into tumor dynamics, paving the way for precision-guided therapeutic interventions. By emphasizing the quest for continuous in vivo monitoring, these techniques herald a pivotal advancement in the overarching endeavor to combat cancer globally.

摘要

癌症仍然是一项严峻的全球健康挑战,因此需要开发创新的诊断技术,以便能够早期检测肿瘤/癌细胞并将其与健康细胞区分开来。本综述重点关注先进的计算算法与基于无创、无标记阻抗的生物物理方法的融合,这些技术可直接评估生物过程,无需外部标记或染料。本综述阐明了一系列基于阻抗的先进技术,揭示了癌症组织与健康组织固有的不同电信号特征。此外,该研究还探讨了这些诊断方式在重新校准个性化癌症治疗模式方面的变革潜力。这些方式能够实时洞察肿瘤动态,为精准引导的治疗干预铺平道路。通过强调对体内连续监测的追求,这些技术预示着在全球抗击癌症的总体努力中取得了关键进展。

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