Ex vivo brain tumor analysis using spectroscopic optical coherence tomography

2016 ◽  
Author(s):  
Marcel Lenz ◽  
Robin Krug ◽  
Hubert Welp ◽  
Kirsten Schmieder ◽  
Martin R. Hofmann
Author(s):  
Marcel Lenz ◽  
Robin Krug ◽  
Volker Jaedicke ◽  
Ralf Stroop ◽  
Kirsten Schmieder ◽  
...  

2015 ◽  
Author(s):  
Marcel Lenz ◽  
Robin Krug ◽  
Volker Jaedicke ◽  
Ralf Stroop ◽  
Kirsten Schmieder ◽  
...  

2017 ◽  
Author(s):  
Marcel Lenz ◽  
Robin Krug ◽  
Christopher Dillmann ◽  
Alexandra Gerling ◽  
Nils C. Gerhardt ◽  
...  

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.


The Analyst ◽  
2020 ◽  
Vol 145 (4) ◽  
pp. 1445-1456 ◽  
Author(s):  
Fabian Placzek ◽  
Eliana Cordero Bautista ◽  
Simon Kretschmer ◽  
Lara M. Wurster ◽  
Florian Knorr ◽  
...  

Characterization of bladder biopsies, using a combined fiber optic probe-based optical coherence tomography and Raman spectroscopy imaging system that allows a large field-of-view imaging and detection and grading of cancerous bladder lesions.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
R Bhoite ◽  
H Jinnouchi ◽  
F Otsuka ◽  
Y Sato ◽  
A Sakamoto ◽  
...  

Abstract Background In many studies, struts coverage is defined as >0 mm of tissue overlying the stent struts by optical coherence tomography (OCT). However, this definition has never been validated using histology as the “gold standard”. The present study sought to assess the appropriate cut-off value of neointimal thickness of stent strut coverage by OCT using histology. Methods OCT imaging was performed on 39 human coronary arteries with stents from 25 patients at autopsy. A total of 165 cross-sectional images from 46 stents were co-registered with histology. The optimal cut-off value of strut coverage by OCT was determined. Strut coverage by histology was defined as endothelial cells with at least underlying two layers of smooth muscle cells. Considering the resolution of OCT is 10–20 μm, 3 different cut-off values (i.e. at ≥20, ≥40, and ≥60 μm) were assessed. Results A total of 2235 struts were evaluated by histology. Eventually, 1216 struts which were well-matched struts were analyzed in this study. By histology, uncovered struts were observed in 160 struts and covered struts were observed in 1056 struts. The broadly used definition of OCT-coverage which does not consider neointimal thickness yielded a poor specificity of 37.5% and high sensitivity 100%. Of 3 cut-off values, the cut-off value of >40 μm was more accurate as compared to >20 and >60 mm [sensitivity (99.3%), specificity (91.0%), positive predictive value (98.6%), and negative predictive value (95.6%)] Conclusion The most accurate cut-off value was ≥40 μm neointimal thickness by OCT in order to identify stent strut coverage validated by histology. Funding Acknowledgement Type of funding source: None


2002 ◽  
Vol 30 (3) ◽  
pp. 209-215 ◽  
Author(s):  
Hans Hoerauf ◽  
J�rg Winkler ◽  
Christian Scholz ◽  
Christopher Wirbelauer ◽  
Roswitha S. Gordes ◽  
...  

2006 ◽  
Vol 38 (6) ◽  
pp. 588-597 ◽  
Author(s):  
H.J. Böhringer ◽  
D. Boller ◽  
J. Leppert ◽  
U. Knopp ◽  
E. Lankenau ◽  
...  

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