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通过高光谱成像技术进行体内和体外组织分析:揭示癌症的隐形特征

In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer.

作者信息

Halicek Martin, Fabelo Himar, Ortega Samuel, Callico Gustavo M, Fei Baowei

机构信息

Department of Bioengineering, The University of Texas at Dallas, 800 W. Campbell Road, Richardson, TX 75080, USA.

Department of Biomedical Engineering, Emory University and The Georgia Institute of Technology, 1841 Clifton Road NE, Atlanta, GA 30329, USA.

出版信息

Cancers (Basel). 2019 May 30;11(6):756. doi: 10.3390/cancers11060756.

DOI:10.3390/cancers11060756
PMID:31151223
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6627361/
Abstract

In contrast to conventional optical imaging modalities, hyperspectral imaging (HSI) is able to capture much more information from a certain scene, both within and beyond the visual spectral range (from 400 to 700 nm). This imaging modality is based on the principle that each material provides different responses to light reflection, absorption, and scattering across the electromagnetic spectrum. Due to these properties, it is possible to differentiate and identify the different materials/substances presented in a certain scene by their spectral signature. Over the last two decades, HSI has demonstrated potential to become a powerful tool to study and identify several diseases in the medical field, being a non-contact, non-ionizing, and a label-free imaging modality. In this review, the use of HSI as an imaging tool for the analysis and detection of cancer is presented. The basic concepts related to this technology are detailed. The most relevant, state-of-the-art studies that can be found in the literature using HSI for cancer analysis are presented and summarized, both in-vivo and ex-vivo. Lastly, we discuss the current limitations of this technology in the field of cancer detection, together with some insights into possible future steps in the improvement of this technology.

摘要

与传统光学成像方式不同,高光谱成像(HSI)能够从特定场景中获取更多信息,包括视觉光谱范围(400至700纳米)内外的信息。这种成像方式基于这样一个原理:每种材料在整个电磁光谱范围内对光的反射、吸收和散射都有不同的响应。由于这些特性,可以通过光谱特征来区分和识别特定场景中呈现的不同材料/物质。在过去二十年中,高光谱成像已展现出成为医学领域研究和识别多种疾病的强大工具的潜力,它是一种非接触、非电离且无标记的成像方式。在本综述中,介绍了高光谱成像作为一种用于分析和检测癌症的成像工具的应用。详细阐述了与该技术相关的基本概念。展示并总结了文献中使用高光谱成像进行癌症分析的最相关、最前沿的研究,包括体内和体外研究。最后,我们讨论了该技术在癌症检测领域当前的局限性,以及对该技术未来可能改进方向的一些见解。

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2
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Proc SPIE Int Soc Opt Eng. 2019 Feb;10951. doi: 10.1117/12.2512985. Epub 2019 Mar 8.
3
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Surg Endosc. 2025 Aug 11. doi: 10.1007/s00464-025-12028-1.
4
LED-based, real-time, hyperspectral imaging device.基于发光二极管的实时高光谱成像设备。
J Med Imaging (Bellingham). 2025 May;12(3):035002. doi: 10.1117/1.JMI.12.3.035002. Epub 2025 Jun 12.
5
Real-Time Intraoperative Decision-Making in Head and Neck Tumor Surgery: A Histopathologically Grounded Hyperspectral Imaging and Deep Learning Approach.头颈肿瘤手术中的实时术中决策:一种基于组织病理学的高光谱成像与深度学习方法。
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6
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Sci Rep. 2025 May 9;15(1):16253. doi: 10.1038/s41598-025-00877-8.
7
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Sci Rep. 2025 Jan 4;15(1):820. doi: 10.1038/s41598-024-84422-z.
8
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Biomedicines. 2024 Oct 11;12(10):2315. doi: 10.3390/biomedicines12102315.
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4
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