4.8 Article

Guiding Brain Tumor Resection Using Surface-Enhanced Raman Scattering Nanoparticles and a Hand-Held Raman Scanner

Journal

ACS NANO
Volume 8, Issue 10, Pages 9755-9766

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/nn503948b

Keywords

surface-enhanced Raman scattering (SERS); SERS nanoparticles; SERS-guided tumor resection; hand-held Raman scanner; brain tumors; glioblastoma multiforme; GBM

Funding

  1. NIH [R01 EB017748, K08 CA16396]
  2. Damon Runyon Cancer Research Foundation [DRR-29-14]
  3. MSKCC Center for Molecular Imaging and Nanotechnology Grant
  4. MSKCC Technology Development Grant
  5. Geoffrey Beene Cancer Research Center at MSKCC Grant Award
  6. Shared Resources Award
  7. Dana Foundation Brain and Immuno-Imaging Grant
  8. Dana Neuroscience Scholar Award
  9. Bayer HealthCare Pharmaceuticals/RSNA Research Scholar Grant
  10. MSKCC Brain Tumor Center Grant
  11. Society of MSKCC Research Grant
  12. R25T Molecular Imaging for Training in Oncology Program from the US National Cancer Institute [2R25-CA096945]
  13. MSKCC NIH Core Grant [P30-CA008748]

Ask authors/readers for more resources

The current difficulty in visualizing the true extent of malignant brain tumors during surgical resection represents one of the major reasons for the poor prognosis of brain tumor patients. Here, we evaluated the ability of a hand-held Raman scanner, guided by surface-enhanced Raman scattering (SERS) nanoparticles, to identify the microscopic tumor extent in a genetically engineered RCAS/tv-a glioblastoma mouse model. In a simulated intraoperative scenario, we tested both a static Raman imaging device and a mobile, hand-held Raman scanner. We show that SERS image-guided resection is more accurate than resection using white light visualization alone. Both methods complemented each other, and correlation with histology showed that SERS nanoparticles accurately outlined the extent of the tumors. Importantly, the hand-held Raman probe not only allowed near real-time scanning, but also detected additional microscopic foci of cancer in the resection bed that were not seen on static SERS images and would otherwise have been missed. This technology has a strong potential for clinical translation because it uses inert gold-silica SERS nanoparticles and a hand-held Raman scanner that can guide brain tumor resection in the operating room.

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