26 December 2016 Review of the potential of optical technologies for cancer diagnosis in neurosurgery: a step toward intraoperative neurophotonics
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Abstract
Advances in image-guided therapy enable physicians to obtain real-time information on neurological disorders such as brain tumors to improve resection accuracy. Image guidance data include the location, size, shape, type, and extent of tumors. Recent technological advances in neurophotonic engineering have enabled the development of techniques for minimally invasive neurosurgery. Incorporation of these methods in intraoperative imaging decreases surgical procedure time and allows neurosurgeons to find remaining or hidden tumor or epileptic lesions. This facilitates more complete resection and improved topology information for postsurgical therapy (i.e., radiation). We review the clinical application of recent advances in neurophotonic technologies including Raman spectroscopy, thermal imaging, optical coherence tomography, and fluorescence spectroscopy, highlighting the importance of these technologies in live intraoperative tissue mapping during neurosurgery. While these technologies need further validation in larger clinical trials, they show remarkable promise in their ability to help surgeons to better visualize the areas of abnormality and enable safe and successful removal of malignancies.
© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Fartash Vasefi, Fartash Vasefi, Nicholas MacKinnon, Nicholas MacKinnon, Daniel L. Farkas, Daniel L. Farkas, Babak Kateb, Babak Kateb, } "Review of the potential of optical technologies for cancer diagnosis in neurosurgery: a step toward intraoperative neurophotonics," Neurophotonics 4(1), 011010 (26 December 2016). https://doi.org/10.1117/1.NPh.4.1.011010 . Submission: Received: 23 July 2016; Accepted: 7 November 2016
Received: 23 July 2016; Accepted: 7 November 2016; Published: 26 December 2016
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