Rapid, Label-Free Detection of Brain Tumors with Stimulated Raman Scattering Microscopy

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Rapid, Label-Free Detection of Brain Tumors with Stimulated Raman Scattering Microscopy

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Title: Rapid, Label-Free Detection of Brain Tumors with Stimulated Raman Scattering Microscopy
Author: Ji, Minbiao; Orringer, Daniel A.; Freudiger, Christian Wilhelm; Ramkissoon, Shakti; Liu, Xiaohui; Lau, Darryl; Golby, Alexandra Jacqueline; Norton, Isaiah Hakim; Hayashi, Marika; Agar, Nathalie Marie Yvonne Rachel; Young, Geoffrey; Spino, Cathie; Santagata, Sandro; Camelo-Piragua, Sandra; Ligon, Keith Lloyd; Sagher, Oren; Xie, Xiaoliang Sunney

Note: Order does not necessarily reflect citation order of authors.

Citation: Ji, Minbiao, Daniel A. Orringer, Christian W. Freudiger, Shakti Ramkissoon, Xiaohui Liu, Darryl Lau, Alexandra J. Golby, et al. 2013. Rapid, Label-Free Detection of Brain Tumors with Stimulated Raman Scattering Microscopy. Science Translational Medicine 5(201): 201ra119.
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Abstract: Surgery is an essential component in the treatment of brain tumors. However, delineating tumor from normal brain remains a major challenge. We describe the use of stimulated Raman scattering (SRS) microscopy for differentiating healthy human and mouse brain tissue from tumor-infiltrated brain based on histoarchitectural and biochemical differences. Unlike traditional histopathology, SRS is a label-free technique that can be rapidly performed in situ. SRS microscopy was able to differentiate tumor from nonneoplastic tissue in an infiltrative human glioblastoma xenograft mouse model based on their different Raman spectra. We further demonstrated a correlation between SRS and hematoxylin and eosin microscopy for detection of glioma infiltration (κ = 0.98). Finally, we applied SRS microscopy in vivo in mice during surgery to reveal tumor margins that were undetectable under standard operative conditions. By providing rapid intraoperative assessment of brain tissue, SRS microscopy may ultimately improve the safety and accuracy of surgeries where tumor boundaries are visually indistinct.
Published Version: doi:10.1126/scitranslmed.3005954
Other Sources: http://bernstein.harvard.edu/papers/Sci_Transl_Med-2013-Ji-201ra119.pdf
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11235654
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