alexa Non-invasive, Contrast-enhanced Spectral Imaging of Breast Cancer Signatures in Preclinical Animal Models In vivo
ISSN: 2157-7013

Journal of Cell Science & Therapy
Open Access

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Research Article

Non-invasive, Contrast-enhanced Spectral Imaging of Breast Cancer Signatures in Preclinical Animal Models In vivo

V Krishnan Ramanujan1*, Songyang Ren2, Sangyong Park3 and Daniel L Farkas4

1Assistant Professor, Departments of Surgery and Biomedical Sciences, Principal Investigator, Metabolic Photonics Laboratory Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA

2Research Scientist I, Department of Surgery Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA

3Postdoctoral Fellow, Department of Surgery Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA

4Departments of Surgery and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA, Professor, Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA

*Corresponding Author:
V Krishnan Ramanujan, PhD
Assistant Professor
Departments of Surgery and Biomedical Sciences
Principal Investigator
Metabolic Photonics Laboratory
Cedars-Sinai Medical Center
Los Angeles, CA 90048, USA
Tel: +1-310-423-7666
Fax: +1-310-423-7707
E-mail: [email protected]

Received November 08, 2012; Accepted September 27, 2010; Published October 02, 2010

Citation: Ramanujan VK, Ren S, Park S, Farkas DL (2010) Non-invasive, Contrast-enhanced Spectral Imaging of Breast Cancer Signatures in Preclinical Animal Models In vivo. J Cell Sci Ther 1:102. doi: 10.4172/2157-7013.1000102

Copyright: © 2010 Ramanujan VK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

We report here a non-invasive multispectral imaging platform for monitoring spectral reflectance and fluorescence images from primary breast carcinoma and metastatic lymph nodes in preclinical rat model in vivo. The system is built around a monochromator light source and an acousto-optic tunable fi lter (AOTF) for spectral selection. Quantitative analysis of the measured reflectance profiles in the presence of a widely-used lymphazurin dye clearly demonstrates the capability of the proposed imaging platform to detect tumor-associated spectral signatures in the primary tumors as well as metastatic lymphatics. Tumor-associated changes in vascular oxygenation and interstitial fluid pressure are reasoned to be the physiological sources of the measured refl ectance profi les. We also discuss the translational potential of our imaging platform in intra-operative clinical setting.

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