Open Access. Powered by Scholars. Published by Universities.®

Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Engineering

Dartmouth Scholarship

Drug combinations

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

Improved Tumor Contrast Achieved By Single Time Point Dual-Reporter Fluorescence Imaging, Kenneth M. Tichauer, Kimberley S. Samkoe, Kristian J. Sexton, Jason R. Gunn, Tayyaba Hasan, Brian W. Pogue May 2012

Improved Tumor Contrast Achieved By Single Time Point Dual-Reporter Fluorescence Imaging, Kenneth M. Tichauer, Kimberley S. Samkoe, Kristian J. Sexton, Jason R. Gunn, Tayyaba Hasan, Brian W. Pogue

Dartmouth Scholarship

In this study, we demonstrate a method to quantify biomarker expression that uses an exogenous dual-reporter imaging approach to improve tumor signal detection. The uptake of two fluorophores, one nonspecific and one targeted to the epidermal growth factor receptor (EGFR), were imaged at 1 h in three types of xenograft tumors spanning a range of EGFR expression levels (n  =  6 in each group). Using this dual-reporter imaging methodology, tumor contrast-to-noise ratio was amplified by >6 times at 1 h postinjection and >2 times at 24 h. Furthermore, by as early as 20 min postinjection, the dual-reporter imaging signal …


Quantitative Imaging Reveals Heterogeneous Growth Dynamics And Treatment-Dependent Residual Tumor Distributions In A Three-Dimensional Ovarian Cancer Model, Jonathan P. Celli, Imran Rizvi, Conor L. Evans, Adnan O. Abu-Yousif, Tayyaba Hasan Sep 2010

Quantitative Imaging Reveals Heterogeneous Growth Dynamics And Treatment-Dependent Residual Tumor Distributions In A Three-Dimensional Ovarian Cancer Model, Jonathan P. Celli, Imran Rizvi, Conor L. Evans, Adnan O. Abu-Yousif, Tayyaba Hasan

Dartmouth Scholarship

Three-dimensional tumor models have emerged as valuable in vitro research tools, though the power of such systems as quantitative reporters of tumor growth and treatment response has not been adequately explored. We introduce an approach combining a 3-D model of disseminated ovarian cancer with high-throughput processing of image data for quantification of growth characteristics and cytotoxic response. We developed custom MATLAB routines to analyze longitudinally acquired dark-field microscopy images containing thousands of 3-D nodules. These data reveal a reproducible bimodal log-normal size distribution. Growth behavior is driven by migration and assembly, causing an exponential decay in spatial density concomitant with …