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Journal of Biomedical Optics

Longitudinal in vivo monitoring of rodent glioma models through thinned skull using laser speckle contrast imaging
Author(s): Abhishek Rege; Alan C. Seifert; Dan Schlattman; Yu Ouyang; Khan W. Li; Luca Basaldella; Henry Brem; Betty M. Tyler; Nitish V. Thakor
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Paper Abstract

Laser speckle contrast imaging (LSCI) is a contrast agent free imaging technique suited for longitudinal assessment of vascular remodeling that accompanies brain tumor growth. We report the use of LSCI to monitor vascular changes in a rodent glioma model. Ten rats are inoculated with 9L gliosarcoma cells, and the angiogenic response is monitored five times over two weeks through a thinned skull imaging window. We are able to visualize neovascularization and measure the number of vessels per unit area to assess quantitatively the microvessel density (MVD). Spatial spread of MVD reveals regions of high MVD that may correspond to tumor location. Whole-field average MVD values increase with time in the tumor group but are fairly stable in the control groups. Statistical analysis shows significant differences in MVD values between the tumor group and both saline-receiving and unperturbed control groups over the two-week period (p < 0.05). In conclusion, LSCI is suitable for investigation of tumor angiogenesis in rodent models. In addition, the statistical difference (p < 0.02) between MVD values of the tumor (24.40 ± 1.41) and control groups (15.40 ± 1.60) on the 14th day after inoculation suggests a potential use of LSCI in the clinic in distinguishing tumor environments from normal vasculature.

Paper Details

Date Published: 12 December 2012
PDF: 10 pages
J. Biomed. Opt. 17(12) 126017 doi: 10.1117/1.JBO.17.12.126017
Published in: Journal of Biomedical Optics Volume 17, Issue 12
Show Author Affiliations
Abhishek Rege, Johns Hopkins Univ. (United States)
Alan C. Seifert, Infinite Biomedical Technologies LLC (United States)
Dan Schlattman, Infinite Biomedical Technologies, LLC (United States)
Yu Ouyang, Infinite Biomedical Technologies, LLC (United States)
Khan W. Li, The Johns Hopkins Hospital (United States)
Luca Basaldella, The Johns Hopkins Hospital (United States)
Henry Brem, Johns Hopkins Univ. (United States)
Betty M. Tyler, The Johns Hopkins Hospital (United States)
Nitish V. Thakor, Johns Hopkins Univ. (United States)

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