Ratiometric Raman nanotags enable intraoperative detection of metastatic sentinel lymph node
Ratiometric Raman nanotags enable intraoperative detection of metastatic sentinel lymph node
复制标题
比例拉曼纳米标签能够在术中检测转移性前哨淋巴结
DOI：
10.1016/j.biomaterials.2021.121070
复制
发表时间：
2021-08-18
期刊：
影响因子：
14
通讯作者：
Ye, Jian
中科院分区：
文献类型：
--
作者：
Bao, Zhouzhou;Deng, Binge;Ye, Jian
前哨淋巴结（Sentinel Lymph Node，SLN）显像和活检是评估区域淋巴结转移状况和决定手术方式的重要手段，但目前尚无可靠的方法在手术中对转移性SLN进行准确、快速的诊断。本文提出了一种基于拉曼成像结合经典最小二乘数据处理方法，利用叶酸功能化的靶向和非靶向缺口增强拉曼标记物（FA-GERT和Nt-GERT）检测转移性SLN的新方法，命名为“比率拉曼双纳米标记策略”。通过使用这种策略，通过内置的自校准信号校正，而不是绝对强度依赖的信号读出，我们实现了转移性SLN的可视化和快速术中诊断，当比值（FA-GERT/Nt-GERT）的截断值设置为1.255时，准确率高达87.5%。这种方法在诊断SLN转移方面可能优于现有的组织病理学评估，并有希望在未来指导外科手术。
Sentinel lymph node (SLN) imaging and biopsy has been advocated as an important technique to evaluate the metastatic status of regional lymph nodes and determine subsequent surgical procedure for many cancers, yet there is no reliable means to provide accurate and rapid diagnosis of metastatic SLN during surgery. Here we develop a new approach, named "Ratiometric Raman dual-nanotag strategy", that using folic acid functionalized targeted and nontargeted gap-enhanced Raman tags (FA-GERTs and Nt-GERTs) to detect metastatic SLN based on Raman imaging combined with classical least square data processing methods. By using this strategy, with builtin self-calibration for signal correction, rather than absolute intensity-dependent signal readout, we realize the visualization and prompt intraoperative diagnosis of metastatic SLN with a high accuracy of 87.5 % when the cut-off value of ratio (FA-GERTs/Nt-GERTs) set at 1.255. This approach may outperform the existing histopathological assessment in diagnosing SLN metastasis and is promising for guiding surgical procedure in the future.