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Deep Learning in Nuclear Medicine and Molecular Imaging: Current Perspectives and Future Directions.核医学与分子影像中的深度学习:当前观点与未来方向。
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Radioiodinated Small-Molecule Tyrosine Kinase Inhibitor for HER2-Selective SPECT Imaging.放射性碘标记的小分子酪氨酸激酶抑制剂用于 HER2 选择性 SPECT 成像。
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Deficits in Regional Cerebral Blood Flow on Brain SPECT Predict Treatment Resistant Depression.脑 SPECT 显示区域性脑血流不足可预测治疗抵抗性抑郁症。
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Iodinated Echogenic Glycol Chitosan Nanoparticles for X-ray CT/US Dual Imaging of Tumor.用于肿瘤X射线CT/超声双模态成像的碘化可回声乙二醇壳聚糖纳米颗粒
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多模态分子影像学:现状与未来方向。

Multimodal Molecular Imaging: Current Status and Future Directions.

机构信息

Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.

出版信息

Contrast Media Mol Imaging. 2018 Jun 5;2018:1382183. doi: 10.1155/2018/1382183. eCollection 2018.

DOI:10.1155/2018/1382183
PMID:29967571
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6008764/
Abstract

Molecular imaging has emerged at the end of the last century as an interdisciplinary method involving imaging and molecular biology aiming at identifying living biological processes at a cellular and molecular level in a noninvasive manner. It has a profound role in determining disease changes and facilitating drug research and development, thus creating new medical modalities to monitor human health. At present, a variety of different molecular imaging techniques have their advantages, disadvantages, and limitations. In order to overcome these shortcomings, researchers combine two or more detection techniques to create a new imaging mode, such as multimodal molecular imaging, to obtain a better result and more information regarding monitoring, diagnosis, and treatment. In this review, we first describe the classic molecular imaging technology and its key advantages, and then, we offer some of the latest multimodal molecular imaging modes. Finally, we summarize the great challenges, the future development, and the great potential in this field.

摘要

分子影像学是上个世纪末出现的一种涉及影像学和分子生物学的交叉学科方法,旨在非侵入性地在细胞和分子水平上识别活体的生物学过程。它在确定疾病变化、促进药物研发方面具有重要作用,从而创造了新的医学模式来监测人类健康。目前,各种不同的分子影像学技术都有其优缺点和局限性。为了克服这些缺点,研究人员将两种或更多种检测技术结合起来,创造出新的成像模式,如多模态分子成像,以获得更好的结果和更多关于监测、诊断和治疗的信息。在这篇综述中,我们首先描述了经典的分子成像技术及其关键优势,然后介绍了一些最新的多模态分子成像模式。最后,我们总结了该领域面临的巨大挑战、未来发展和巨大潜力。