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使用纳米探针进行癌症诊断的医学成像模态:关于近期研究成果的文献综述

Medical imaging modalities using nanoprobes for cancer diagnosis: A literature review on recent findings.

作者信息

Shahbazi-Gahrouei Daryoush, Moradi Khaniabadi Pegah, Moradi Khaniabadi Bita, Shahbazi-Gahrouei Saghar

机构信息

Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

School of Physics, University Sains Malaysia, Pulau Penang, Malaysia.

出版信息

J Res Med Sci. 2019 Apr 26;24:38. doi: 10.4103/jrms.JRMS_437_18. eCollection 2019.

DOI:10.4103/jrms.JRMS_437_18
PMID:31143239
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6521609/
Abstract

Medical imaging modalities are used for different types of cancer detection and diagnosis. Recently, there have been a lot of studies on developing novel nanoparticles as new medical imaging contrast agents for the early detection of cancer. The aim of this review article is to categorize the medical imaging modalities accompanying with using nanoparticles to improve potential imaging for cancer detection and hence valuable therapy in the future. Nowadays, nanoparticles are becoming potentially transformative tools for cancer detection for a wide range of imaging modalities, including computed tomography (CT), magnetic resonance imaging, single photon emission CT, positron emission tomography, ultrasound, and optical imaging. The study results seen in the recent literature provided and discussed the diagnostic performance of imaging modalities for cancer detections and their future directions. With knowledge of the correlation between the application of nanoparticles and medical imaging modalities and with the development of targeted contrast agents or nanoprobes, they may provide better cancer diagnosis in the future.

摘要

医学成像模态用于不同类型的癌症检测和诊断。最近,有许多关于开发新型纳米颗粒作为新型医学成像造影剂以早期检测癌症的研究。这篇综述文章的目的是对伴随着使用纳米颗粒的医学成像模态进行分类,以改善癌症检测的潜在成像,从而在未来实现有价值的治疗。如今,纳米颗粒正成为用于多种成像模态(包括计算机断层扫描(CT)、磁共振成像、单光子发射CT、正电子发射断层扫描、超声和光学成像)的癌症检测的潜在变革性工具。近期文献中的研究结果提供并讨论了癌症检测成像模态的诊断性能及其未来方向。随着对纳米颗粒应用与医学成像模态之间相关性的了解以及靶向造影剂或纳米探针的发展,它们可能在未来提供更好的癌症诊断。

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