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拉曼光谱在脑胶质瘤诊断中的应用:文献综述

Raman Spectroscopy in the Diagnosis of Brain Gliomas: A Literature Review.

作者信息

Stupak Evgeny V, Glotov Vadim M, Askandaryan Arsen S, Clancy Sarah E, Hiana James C, Cherkasova Olga P, Stupak Vyacheslav V

机构信息

Department of Neurosurgery, Novosibirsk Research Institute of Traumatology and Orthopedics n.a. Ya.L. Tsivyan, Novosibirsk, RUS.

Department of Psychiatry, St. John's Episcopal Hospital, New York, USA.

出版信息

Cureus. 2025 Feb 17;17(2):e79165. doi: 10.7759/cureus.79165. eCollection 2025 Feb.

DOI:10.7759/cureus.79165
PMID:40109807
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11921993/
Abstract

Raman spectroscopy (RS) is increasingly applied in medical fields to distinguish neoplastic from normal tissues, with recent advancements enabling its use in neurosurgery. This review explores RS as a diagnostic and surgical aid for brain gliomas, detailing its various modalities and applications. Through a comprehensive search in databases including PubMed, Google Scholar, and eLibrary, over 300 references were screened, resulting in 74 articles that met inclusion criteria. Key findings reveal RS's potential in neuro-oncology for examining native biopsy specimens, frozen and paraffin-embedded tissues, and body fluids, as well as performing intraoperative assessments. RS offers promise for identifying gliomas, differentiating them from healthy brain tissue, and establishing precise tumor boundaries during resection.

摘要

拉曼光谱(RS)在医学领域的应用日益广泛,用于区分肿瘤组织与正常组织,最近的进展使其能够应用于神经外科手术。本综述探讨了拉曼光谱作为脑胶质瘤诊断和手术辅助工具的作用,详细介绍了其各种模式和应用。通过在包括PubMed、谷歌学术和电子图书馆在内的数据库中进行全面检索,筛选了300多篇参考文献,最终有74篇文章符合纳入标准。主要研究结果表明,拉曼光谱在神经肿瘤学中具有潜力,可用于检查天然活检标本、冷冻和石蜡包埋组织以及体液,还可进行术中评估。拉曼光谱有望用于识别胶质瘤,将其与健康脑组织区分开来,并在切除过程中确定精确的肿瘤边界。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1064/11921993/c518ef3679ef/cureus-0017-00000079165-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1064/11921993/150282a206bf/cureus-0017-00000079165-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1064/11921993/c518ef3679ef/cureus-0017-00000079165-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1064/11921993/150282a206bf/cureus-0017-00000079165-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1064/11921993/c518ef3679ef/cureus-0017-00000079165-i02.jpg

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An outlier detection algorithm based on segmentation and pruning of competitive network for glioma identification using Raman spectroscopy.基于竞争网络分割和剪枝的离群点检测算法在基于拉曼光谱的脑胶质瘤识别中的应用。
Anal Methods. 2023 Aug 3;15(30):3661-3674. doi: 10.1039/d3ay00748k.
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Evaluating nanoparticle localisation in glioblastoma multicellular tumour spheroids by surface enhanced Raman scattering.
通过表面增强拉曼散射评估神经胶质细胞瘤多细胞肿瘤球体中的纳米颗粒定位。
Analyst. 2023 Jul 10;148(14):3247-3256. doi: 10.1039/d3an00751k.
4
MicroRNAs in the Diagnosis of Malignancy of Supratentorial Brain Gliomas and Prognosis of Disease Progression.微小RNA在幕上脑胶质瘤恶性程度诊断及疾病进展预后中的作用
Cureus. 2023 Mar 8;15(3):e35906. doi: 10.7759/cureus.35906. eCollection 2023 Mar.
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Data augmentation method based on the Gaussian kernel density for glioma diagnosis with Raman spectroscopy.基于高斯核密度的拉曼光谱用于胶质瘤诊断的数据增强方法
Anal Methods. 2023 Apr 13;15(15):1861-1869. doi: 10.1039/d3ay00188a.
6
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