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SLN
BIOMATERIALS · 2021 · IF 12.479

Ratiometric Raman nanotags enable intraoperative detection of metastatic sentinel lymph node

Zhouzhou Bao,Binge Deng,Yuqing Zhang,Xiaowei Li,Ziyang Tan,Zhuowei Gu,Bobo Gu,Zhifeng Shao,Wen Di,Jian Ye

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 built-in 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.

研究领域: 癌症生物学 · 生物医学工程 · 外科肿瘤学 · 分子成像 · 诊断技术
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