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Accurate in vivo tumor detection using plasmonic-enhanced shifted-excitation Raman difference spectroscopy (SERDS).
Strobbia, Pietro; Cupil-Garcia, Vanessa; Crawford, Bridget M; Fales, Andrew M; Pfefer, T Joshua; Liu, Yang; Maiwald, Martin; Sumpf, Bernd; Vo-Dinh, Tuan.
Afiliação
  • Strobbia P; Fitzpatrick Institute for Photonics, Duke University, Durham, NC, USA.
  • Cupil-Garcia V; Department of Biomedical Engineering, Duke University, Durham, NC, USA.
  • Crawford BM; Fitzpatrick Institute for Photonics, Duke University, Durham, NC, USA.
  • Fales AM; Department of Chemistry, Duke University, Durham, NC, USA.
  • Pfefer TJ; Fitzpatrick Institute for Photonics, Duke University, Durham, NC, USA.
  • Liu Y; Department of Biomedical Engineering, Duke University, Durham, NC, USA.
  • Maiwald M; Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
  • Sumpf B; Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
  • Vo-Dinh T; Fitzpatrick Institute for Photonics, Duke University, Durham, NC, USA.
Theranostics ; 11(9): 4090-4102, 2021.
Article em En | MEDLINE | ID: mdl-33754050
ABSTRACT
For the majority of cancer patients, surgery is the primary method of treatment. In these cases, accurately removing the entire tumor without harming surrounding tissue is critical; however, due to the lack of intraoperative imaging techniques, surgeons rely on visual and physical inspection to identify tumors. Surface-enhanced Raman scattering (SERS) is emerging as a non-invasive optical alternative for intraoperative tumor identification, with high accuracy and stability. However, Raman detection requires dark rooms to work, which is not consistent with surgical settings.

Methods:

Herein, we used SERS nanoprobes combined with shifted-excitation Raman difference spectroscopy (SERDS) detection, to accurately detect tumors in xenograft murine model.

Results:

We demonstrate for the first time the use of SERDS for in vivo tumor detection in a murine model under ambient light conditions. We compare traditional Raman detection with SERDS, showing that our method can improve sensitivity and accuracy for this task.

Conclusion:

Our results show that this method can be used to improve the accuracy and robustness of in vivo Raman/SERS biomedical application, aiding the process of clinical translation of these technologies.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Espectral Raman / Diagnóstico por Imagem / Neoplasias Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Espectral Raman / Diagnóstico por Imagem / Neoplasias Idioma: En Ano de publicação: 2021 Tipo de documento: Article