胃腺癌淋巴结转移的紫外表面激发显微镜观察。

Sovremennye tekhnologii v meditsine Pub Date : 2024-01-01 Epub Date: 2024-12-27 DOI:10.17691/stm2024.16.6.03
G M Denisenko, Y M Valieva, S E Solovyeva, N B Serejnikova, V A Petrov, G S Budylin, P S Timashev, A L Fayzullin
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引用次数: 0

摘要

淋巴结转移的检测在肿瘤病理学中是至关重要的,因为它可以确定TNM分期,设计治疗方案,预测癌症患者的生存。目前该工艺的金标准是苏木精和伊红染色。然而,新的替代方法利用独特的光学性质的组织结构正在开发快速术中或术后应用。该研究的目的是评估使用紫外表面激发(MUSE)显微镜识别淋巴结转移的有效性。材料与方法:对6例胃癌患者术中收集的17个淋巴结进行研究,这些淋巴结来自俄罗斯谢切诺夫大学档案。在本研究中,我们使用了由三个UV发光二极管(265 nm)组成的MUSE光学系统和不同物镜的Axio Scope A1显微镜(Carl Zeiss, Germany)。我们引入了一种新颖的荧光染料组合——尼罗河红和赫斯特,这在以前的MUSE中没有使用过。结果:荧光染料的结合产生了高对比度的图像,细胞核染色为蓝色,细胞质染色为橙红色,有效地显示了胃腺癌细胞,其特征是丰富的细胞质成分和大的多形核。由腺癌转移形成的不规则形状腔的存在也可以通过MUSE检测到。结论:生物光子学为组织成像提供了新的方法。然而,传统的方法在检测癌症转移和其他病理的准确性方面仍然是无与伦比的。为了使MUSE等方法适用于术中诊断,需要进一步完善成像方案并扩大对其他癌症类型的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualization of Gastric Adenocarcinoma Lymph Node Metastases by Microscopy with Ultraviolet Surface Excitation.

The detection of lymph node metastases is crucial in oncopathology, as it makes it possible to determine the TNM stage, to design a treatment plan, and predict the survival for cancer patients. The current gold standard for this process is hematoxylin and eosin staining. However, new alternative methods leveraging the unique optical properties of tissue structures are being developed for rapid intraoperative or postoperative application. The aim of the study is to evaluate the effectiveness of identifying lymph node metastases using microscopy with ultraviolet surface excitation (MUSE).

Materials and methods: 17 lymph nodes from the Sechenov University archive (Russia) collected intraoperatively from 6 patients with gastric cancer have been investigated.In this study, we utilized a MUSE optical system consisting of three UV light-emitting diodes (265 nm) and the Axio Scope A1 microscope (Carl Zeiss, Germany) with various objectives. We introduced a novel combination of fluorescent dyes - Nile red and Hoechst - that had not been previously used with MUSE.

Results: The combination of fluorescent dyes yielded high-contrast images with blue-stained nuclei and orange-to-red stained cytoplasm, effectively visualizing gastric adenocarcinoma cells characterized by abundant cytoplasmic components and large polymorphic nuclei. The presence of irregularly shaped cavities, formed by adenocarcinoma metastases, was also detectable by MUSE.

Conclusion: Biophotonics provides alternative methods for tissue imaging. However, traditional methods are still unsurpassed in the accuracy of detecting cancer metastases and other pathologies. Further refinement of imaging protocols and expanded research into other cancer types are needed to make methods like MUSE applicable for intraoperative diagnosis.

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