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Proceedings Paper

Tumor angiogenesis assessment using multi-fluorescent scans on murine slices by Markov random field framework
Author(s): Oumeima Laifa; Delphine Le Guillou-Buffello; Daniel Racoceanu
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Paper Abstract

The fundamental role of vascular supply in tumor growth makes the evaluation of the angiogenesis crucial in assessing effect of anti-angiogenic therapies. Since many years, such therapies are designed to inhibit the vascular endothelial growth factor (VEGF). To contribute to the assessment of anti-angiogenic agent (Pazopanib) effect on vascular and cellular structures, we acquired data from tumors extracted from a murine tumor model using Multi- Fluorescence Scanning. In this paper, we implemented an unsupervised algorithm combining the Watershed segmentation and Markov Random Field model (MRF). This algorithm allowed us to quantify the proportion of apoptotic endothelial cells and to generate maps according to cell density. Stronger association between apoptosis and endothelial cells was revealed in the tumors receiving anti-angiogenic therapy (n = 4) as compared to those receiving placebo (n = 4). A high percentage of apoptotic cells in the tumor area are endothelial. Lower density cells were detected in tumor slices presenting higher apoptotic endothelial areas.

Paper Details

Date Published: 17 November 2017
PDF: 10 pages
Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, 1057208 (17 November 2017); doi: 10.1117/12.2285924
Show Author Affiliations
Oumeima Laifa, Lab. d'Imagerie Biomédicale (France)
Bioinformatics Institute (Singapore)
Delphine Le Guillou-Buffello, Lab. d'Imagerie Biomédicale (France)
Daniel Racoceanu, Lab. d'Imagerie Biomédicale (France)
Pontificia Univ. Católica del Perú (Peru)


Published in SPIE Proceedings Vol. 10572:
13th International Conference on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva; Juan David García, Editor(s)

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