4.8 Article

Gap-enhanced Raman tags for high-contrast sentinel lymph node imaging

期刊

BIOMATERIALS
卷 163, 期 -, 页码 105-115

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.biomaterials.2018.02.020

关键词

Nanoprobe; Bioimaging; Lymph node; Plasmonics; Surface enhanced Raman scattering

资金

  1. National Key R&D Program of China [2016YFC1302900]
  2. National Natural Science Foundation of China [21375087, 81571763, 81622026, 81472426]
  3. Shanghai municipal commission of health and family planning [15GWZK0701, 2017ZZ02016]
  4. Shanghai Jiao Tong University [YG2016MS51, YG2017MS54]
  5. Shanghai Key Laboratory of Gynecologic Oncology

向作者/读者索取更多资源

The sentinel lymph node (SLN) biopsy is gaining in popularity as a procedure to investigate the lymphatic metastasis of malignant tumors. The commonly used techniques to identify the SLNs in clinical practice are blue dyes-guided visualization, radioisotope-based detection and near-infrared fluorescence imaging. However, all these methods have not been found to perfectly fit the clinical criteria with issues such as short retention time in SLN, poor spatial resolution, autofluorescence, low photostability and high cost. In this study, we have reported a new type of nanoprobes, named, gap-enhanced Raman tags (GERTs) for the SLN Raman imaging. With the advantageous features including unique fingerprint Raman signal, strong Raman enhancement, high photostability, good biocompatibility and extra-long retention time, we have demonstrated that GERTs are greatly favorable for high-contrast and deep SLN Raman imaging, which meanwhile reveals the dynamic migration behavior of the probes entering the SLN. In addition, a quantitative volumetric Raman imaging (qVRI) data-processing method is employed to acquire a high resolution 3-dimensional (3D) margin of SLN as well as the content variation of GERTs in the SLN. Moreover, SLN detection could be realized via a cost-effective commercial portable Raman scanner. Therefore, GERTs hold the great potential to be translated in clinical application for accurate and intraoperative location of the SLN. (C) 2018 Elsevier Ltd. All rights reserved.

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