Preclinical mouse model of optical coherence tomography for subcortical brain imaging without dissection

Author(s):  
Jae Meen Lee ◽  
Inho Han ◽  
Kyoung Hyup Nam ◽  
Dong Hwan Kim ◽  
Seunghwan Song ◽  
...  
2015 ◽  
Vol 8s1 ◽  
pp. CGM.S21216 ◽  
Author(s):  
Susan LeGendre-McGhee ◽  
Photini S. Rice ◽  
R. Andrew Wall ◽  
Kyle J. Sprute ◽  
Ramireddy Bommireddy ◽  
...  

Optical coherence tomography (OCT) is a high-resolution, nondestructive imaging modality that enables time-serial assessment of adenoma development in the mouse model of colorectal cancer. In this study, OCT was utilized to evaluate the effectiveness of interventions with the experimental antitumor agent α-difluoromethylornithine (DFMO) and a nonsteroidal anti-inflammatory drug sulindac during early [chemoprevention (CP)] and late stages [chemotherapy (CT)] of colon tumorigenesis. Biological endpoints for drug interventions included OCT-generated tumor number and tumor burden. Immunochistochemistry was used to evaluate biochemical endpoints [Ki-67, cleaved caspase-3, cyclooxygenase (COX)-2, β-catenin]. K-Ras codon 12 mutations were studied with polymerase chain reaction-based technique. We demonstrated that OCT imaging significantly correlated with histological analysis of both tumor number and tumor burden for all experimental groups ( P < 0.0001), but allows more accurate and full characterization of tumor number and burden growth rate because of its time-serial, nondestructive nature. DFMO alone or in combination with sulindac suppressed both the tumor number and tumor burden growth rate in the CP setting because of DFMO-mediated decrease in cell proliferation (Ki-67, P < 0.001) and K-RAS mutations frequency ( P = 0.04). In the CT setting, sulindac alone and DFMO/sulindac combination were effective in reducing tumor number, but not tumor burden growth rate. A decrease in COX-2 staining in DFMO/sulindac CT groups (COX-2, P < 0.01) confirmed the treatment effect. Use of nondestructive OCT enabled repeated, quantitative evaluation of tumor number and burden, allowing changes in these parameters to be measured during CP and as a result of CT. In conclusion, OCT is a robust minimally invasive method for monitoring colorectal cancer disease and effectiveness of therapies in mouse models.


Author(s):  
Travis W. Sawyer ◽  
Jennifer Watson-Koevary ◽  
Photini F. S. Rice ◽  
Jennifer K. Barton

2019 ◽  
Vol 13 (2) ◽  
Author(s):  
Ilan Felts Almog ◽  
Fu‐Der Chen ◽  
Suhan Senova ◽  
Anton Fomenko ◽  
Elise Gondard ◽  
...  

2019 ◽  
Vol 9 (19) ◽  
pp. 4008
Author(s):  
Luying Yi ◽  
Liqun Sun ◽  
Mingli Zou ◽  
Bo Hou

Optical coherence tomography (OCT) can obtain high-resolution three-dimensional (3D) structural images of biological tissues, and spectroscopic OCT, which is one of the functional extensions of OCT, can also quantify chromophores of tissues. Due to its unique features, OCT has been increasingly used for brain imaging. To support the development of the simulation and analysis tools on which OCT-based brain imaging depends, a model of mesh-based Monte Carlo for OCT (MMC-OCT) is presented in this work to study OCT signals reflecting the structural and functional activities of brain tissue. In addition, an approach to improve the quantitative accuracy of chromophores in tissue is proposed and validated by MMC-OCT simulations. Specifically, the OCT-based brain structural imaging was first simulated to illustrate and validate the MMC-OCT strategy. We then focused on the influences of different wavelengths on the measurement of hemoglobin concentration C, oxygen saturation Y, and scattering coefficient S in brain tissue. Finally, it is proposed and verified here that the measurement accuracy of C, Y, and S can be improved by selecting appropriate wavelengths for calculation, which contributes to the experimental study of brain functional sensing.


2018 ◽  
Vol 12 (1) ◽  
pp. 12-23 ◽  
Author(s):  
Yingwei Fan ◽  
Yan Xia ◽  
Xinran Zhang ◽  
Yu Sun ◽  
Jie Tang ◽  
...  

2015 ◽  
Vol 6 (9) ◽  
pp. 3339 ◽  
Author(s):  
Yang Zhao ◽  
Jason R. Maher ◽  
Jina Kim ◽  
Maria Angelica Selim ◽  
Howard Levinson ◽  
...  

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