Autofluorescence-Raman Spectroscopy for Ex Vivo Mapping Colorectal Liver Metastases and Liver Tissue.
Autofluorescence-Raman Spectroscopy for Ex Vivo Mapping Colorectal Liver Metastases and Liver Tissue.
复制标题
用于离体绘制结直肠肝转移和肝组织的自体荧光拉曼光谱。
DOI：
10.1016/j.jss.2023.02.014
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Corden C
中科院分区：
文献类型：
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作者：
Corden C
在肝切除术中识别结直肠肝转移（CRLM）有助于获得清晰的手术切缘，这是无病生存和总生存的重要预后变量。本研究的目的是研究自体荧光（AF）和拉曼光谱对正常肝组织CRLM的无活体标记区分的影响。次要目的包括探索选择多模态AF拉曼集成方面的诊断准确性和成像速度对人类肝脏组织和CRLM.MethodsLiver样本从接受肝脏手术的患者CRLM谁提供知情同意书（15例被招募）。AF和拉曼光谱进行CRLM和正常肝组织样品，然后比较tissue.ResultsAF发射光谱表明，671 nm和775/785 nm的激发波长提供了最高的对比度，正常肝组织引起平均约8倍的AF强度相比，CRLM。使用785 nm波长的优点是能够从CRLM区域进行拉曼光谱测量，从而能够区分CRLM与引起异常低AF强度的正常肝组织区域，防止错误分类。使用小块CRLM样本覆盖的大的正常肝组织的概念验证实验证明了一个双模态AF-拉曼检测阳性margins.ConclusionsAF成像和拉曼光谱的可行性可以区分CRLM从正常肝组织在anex vivosetting。这些结果表明，开发综合多模式AF拉曼成像技术的潜力，术中评估手术切缘。
IntroductionIdentifying colorectal liver metastases (CRLM) during liver resection could assist in achieving clear surgical margins, which is an important prognostic variable for both disease-free and overall survival. The aim of this study was to investigate the effect of auto-fluorescence (AF) and Raman spectroscopy forex vivolabel-free discrimination of CRLMs from normal liver tissue. Secondary aims include exploring options for multimodal AF-Raman integration with respect to diagnosis accuracy and imaging speed on human liver tissue and CRLM.MethodsLiver samples were obtained from patients undergoing liver surgery for CRLM who provided informed consent (15 patients were recruited). AF and Raman spectroscopy was performed on CRLM and normal liver tissue samples and then compared to histology.ResultsAF emission spectra demonstrated that the 671 nm and 775/785 nm excitation wavelengths provided the highest contrast, as normal liver tissue elicited on average around eight-fold higher AF intensity compared to CRLM. The use of the 785 nm wavelength had the advantage of enabling Raman spectroscopy measurements from CRLM regions, allowing discrimination of CRLM from regions of normal liver tissue eliciting unusual low AF intensity, preventing misclassification. Proof-of-concept experiments using small pieces of CRLM samples covered by large normal liver tissue demonstrated the feasibility of a dual-modality AF-Raman for detection of positive margins within few minutes.ConclusionsAF imaging and Raman spectroscopy can discriminate CRLM from normal liver tissue in anex vivosetting. These results suggest the potential for developing integrated multimodal AF-Raman imaging techniques for intraoperative assessment of surgical margins.