Krzemińska Anastasija, Czapiga Bogdan, Koźba-Gosztyła Marta
Department of Neurosurgery, 4th Military Hospital in Wroclaw, Wrocław, Poland.
Faculty of Medicine, Wroclaw University of Science and Technology, Grunwaldzki square 11, 51-377 Wrocław, Poland; Department of Neurosurgery, 4th Military Hospital in Wroclaw, Wrocław, Poland.
Spectrochim Acta A Mol Biomol Spectrosc. 2025 Mar 15;329:125518. doi: 10.1016/j.saa.2024.125518. Epub 2024 Nov 30.
There are several methods of intraoperative tumor border identification, but none of them is perfect. There is a need of a new tool.
Raman spectroscopy, being a noninvasive, requiring no tissue preparation, quick technique of substance structure identification, is a potential tool for intraoperative identification of brain tumor. This meta-analysis aimed to assess the accuracy of Raman spectroscopy in differentiation of normal brain tissue from brain tumor.
PubMed, Google Scholar, Scopus and Web of Science databases were searched until October 1, 2024.
All English-language articles reporting efficacy and accuracy of Raman spectroscopy for brain tumor differentiation were analyzed, sufficient data to construct 2x2 table was extracted.
studies using data from national databases; reviews, conference abstracts, case studies, letters to the editor; studies with irrelevant or not sufficient data; not human tissue used in the experiment. 6112 records were found; after exclusion, the suitability of 64 full-text articles was evaluated. 18 studies were reviewed and included into the meta-analysis.
The meta-analysis was performed in accordance with PRISMA guidelines and recommendations. Methodological quality was assessed according to the QUADAS-2 guidelines. Data were extracted by multiple observers and any discrepancies were resolved by discussion and consensus. Data were pooled using a random-effects model.
MAIN OUTCOME(S) AND MEASURE(S): The primary outcome was pooled sensitivity, specificity and diagnostic odds ratio (DOR) for Raman spectroscopy.
The manuscript presents 18 studies which were used to calculate pooled values. The pooled sensitivity, specificity and pooled diagnostic odds ratio (DOR) of RS for discriminating glioma and normal brain tissues were 0,965, 0,738 and 61,305 respectively. For GBM the results were 0,948, 0,506 and 78,420 respectively. For meningioma pooled values were 0,896, 0,913, and 149,59. For metastases pooled values were 0,946, 0,862 and 133,90 respectively.
Raman spectroscopy has a potential to serve as a tool for differentiation of brain tumor from normal brain tissue. Not only could it be helpful in distinguishing malignant lesion from benign with high sensitivity and specificity, but also indicate type of tumor. There is a need for more studies examining the accuracy of spectroscopy in differentiating brain tumors from healthy tissues, especially in vivo and in differentiation of brain tumor subtypes.
术中肿瘤边界识别方法有多种，但均不完善。需要一种新工具。
拉曼光谱作为一种无创、无需组织预处理、能快速识别物质结构的技术，是术中识别脑肿瘤的潜在工具。本荟萃分析旨在评估拉曼光谱在区分正常脑组织和脑肿瘤方面的准确性。
检索了PubMed、谷歌学术、Scopus和科学网数据库，截至2024年10月1日。
分析了所有报告拉曼光谱用于脑肿瘤鉴别效能和准确性的英文文章，提取了足够的数据以构建2×2表格。
使用国家数据库数据的研究；综述、会议摘要、病例研究、给编辑的信；数据不相关或不足的研究；实验未使用人体组织的研究。共找到6112条记录；排除后，评估了64篇全文文章的适用性。对18项研究进行了综述并纳入荟萃分析。
荟萃分析按照PRISMA指南和建议进行。根据QUADAS - 2指南评估方法学质量。数据由多名观察者提取，任何差异通过讨论和协商解决。使用随机效应模型汇总数据。
主要结局是拉曼光谱的汇总敏感性、特异性和诊断比值比（DOR）。
本文呈现了18项用于计算汇总值的研究。拉曼光谱区分胶质瘤和正常脑组织的汇总敏感性、特异性和汇总诊断比值比分别为0.965、0.738和61.305。对于胶质母细胞瘤，结果分别为0.948、0.506和78.420。对于脑膜瘤，汇总值分别为0.896、0.913和149.59。对于转移瘤，汇总值分别为0.946、0.862和133.90。
拉曼光谱有潜力作为区分脑肿瘤和正常脑组织的工具。它不仅有助于以高敏感性和特异性区分恶性病变和良性病变，还能指示肿瘤类型。需要更多研究来检验光谱在区分脑肿瘤与健康组织方面的准确性，尤其是在体内以及区分脑肿瘤亚型方面。
