Tumor margin detection using optical biopsy techniques

Author(s):  
Yan Zhou ◽  
Cheng-hui Liu ◽  
Jiyou Li ◽  
Zhongwu Li ◽  
Lixin Zhou ◽  
...  
2011 ◽  
Vol 11 (4) ◽  
pp. 891-896 ◽  
Author(s):  
Alejandro Garcia-Uribe ◽  
Cheng-Chung Chang ◽  
Murat Kaya Yapici ◽  
Jun Zou ◽  
Bhaskar Banerjee ◽  
...  

Author(s):  
V. Artyushenko ◽  
U. Zabarylo ◽  
A. Bogomolov ◽  
O. Minet ◽  
H. Krause ◽  
...  

2014 ◽  
Author(s):  
Sarah J. Erickson-Bhatt ◽  
Ryan Nolan ◽  
Nathan D. Shemonski ◽  
Steven G. Adie ◽  
Jeffrey Putney ◽  
...  

2017 ◽  
pp. 355-368
Author(s):  
Asael Papour ◽  
Zach Taylor ◽  
Linda Liau ◽  
William H. Yong ◽  
Oscar Stafsudd ◽  
...  

2011 ◽  
Author(s):  
Alejandro Garcia-Uribe ◽  
Cheng-Chung Chang ◽  
Jun Zou ◽  
Bhaskar Banerjee ◽  
John Kuczynski ◽  
...  

2013 ◽  
Vol 15 (5) ◽  
pp. 560-568 ◽  
Author(s):  
Banghe Zhu ◽  
Grace Wu ◽  
Holly Robinson ◽  
Nathaniel Wilganowski ◽  
Mary A. Hall ◽  
...  

Neurosurgery ◽  
2017 ◽  
Vol 64 (CN_suppl_1) ◽  
pp. 264-264 ◽  
Author(s):  
Derek W Yecies ◽  
Orly Liba ◽  
Elliot SoRelle ◽  
Rebecca Dutta ◽  
Christy Wilson ◽  
...  

Abstract INTRODUCTION Optical coherence tomography (OCT) is an emerging technology with the potential to allow for rapid intraoperative detection of brain tumor margins by detecting differences in structure, intensity, spectral signal, and attenuation. OCT systems are capable of rapid imaging of large three-dimensional volumes with cellular level resolution. However, OCT imaging has previously been limited by speckle artifact and the lack of suitable contrast agents, limitations that are surmounted in this study. METHODS We prepared nude mice with orthotopic U87 glioblastoma xenografts and glass cranial windows. We also created large gold nanorods (LGNR) with plasmonic peaks tuned to the spectral range of the OCT scanner. LGNRs were injected intravenously into tumor-bearing mice and OCT imaging was performed in vivo utilizing a novel method for the removal of speckle artifact called Speckle-Free OCT (SFOCT). Fresh ex-vivo patient samples were also imaged. RESULTS >OCT and SFOCT readily distinguished tumor from normal brain with cellular level spatial resolution and to a depth of 1.5 mm. Additionally, SFOCT allowed for the highest resolution ever seen in vivo of mouse white matter architecture. Cortical layers were also readily visible in SFOCT in both live mice and in the ex-vivo human samples, representing a novel ability to interrogate cortical cytoarchitecture across a large field of view. Systemically administered LGNRs were tumor specific and provided excellent spectral contrast using OCT. Ex-vivo hyperspectral and IHC imaging confirmed the localization of LGNRs within the tumor and found that the LGNRs were largely localized within tumor associated macrophages. CONCLUSION SFOCT and LGNR enhanced OCT imaging are promising state of the art technologies for intraoperative tumor margin detection.


Materials ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 7502
Author(s):  
Polina S. Tseregorodtseva ◽  
Kirill E. Buiankin ◽  
Boris P. Yakimov ◽  
Armais A. Kamalov ◽  
Gleb S. Budylin ◽  
...  

Diffuse reflectance spectroscopy (DRS) and imaging are increasingly being used in surgical guidance for tumor margin detection during endoscopic operations. However, the accuracy of the boundary detection with optical techniques may depend on the acquisition parameters, and its evaluation is in high demand. In this work, using optical phantoms with homogeneous and heterogeneous distribution of chromophores mimicking normal and pathological bladder tissues, the accuracy of tumor margin detection using single-fiber diffuse reflectance spectroscopy and spatial frequency domain imaging was evaluated. We also showed how the diffuse reflectance response obtained at different spatial frequencies with the spatial frequency domain imaging technique could be used not only to quantitatively map absorption and scattering coefficients of normal tissues and tumor-like heterogeneities but also to estimate the tumor depth localization. The demonstrated results could be helpful for proper analysis of the DRS data measured in vivo and for translation of optical techniques for tumor margin detection to clinics.


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