Recent development of NIR optical probes for molecular imaging holds great promise for breast cancer imaging. Targeted and activable probes interact with specific targets and therefore make it possible to image biological processes at the cellular or molecular level. Targeted probes bind to specific targets, such as receptors, and can be used to image receptor expression and distribution, while activable probes can be employed to image the activity of matrix-degrading enzymes such as MMPs or cathepsins. Such probes along with optical imaging may yield a unique, highly sensitive technology for in vivo imaging of tumor formation and metastasis. It is inevitable that in the near future some of these probes will be available for use in clinical settings. Despite the advances in molecular imaging technology, however, only recently efforts have been focused on developing in vivo fluorescent enhanced optical tomography (FDOT) that can be used in clinical settings for breast cancer imaging. In this application, we propose to employ a multi-modality approach, a combined MR/FDOT animal imaging system, to improve the accuracy of FDOT and in turn to improve the performance of MRI in distinguishing benign and malignant breast cancers. Several studies have proven that MRI detects malignant cancers which are occult on mammogram and ultrasound, and as such it has fast becoming the most popular imaging modality for screening young women. However, despite its high sensitivity, MRI has low specificity, such that it also detects many benign lesions. As a counterpart of this combined system, FDOT will increase the specificity of the MRI substantially using the targeted/activated probes. Similarly, MRI will improve the quantitative accuracy of FDOT by providing a-priori information, which makes the proposed system a true multi-modality imaging approach. Once the combined system is developed and optimized with phantom studies, the performance of the system will be evaluated with animal studies by using MMP sensitive activable fluorescence imaging probes and two different cell lines that express different levels of MMP activity. The proof-of-principle hybrid MR/FDOT imaging modality proposed in this application is an innovative approach and a first step towards such a clinical multi-modality imaging system. With appropriate modifications in design, the proposed technology has a great translational potential for future human clinical trials.

Public Health Relevance

Although mammography is very sensitive in detecting early breast cancer, it does not work well in women who have dense breast tissues, breast implants, or scar tissues due to previous treatment. Breast MRI is considered as the optimal modality in these patient populations. However, the currently available clinical MR contrast agent Gd-DTPA is a low molecular weight extracellular agent that does not provide high specificity in breast cancer characterization. In the mean time, the recent developments in the molecular imaging probes showed that it is very possible to have some of these exciting probes for clinical use in the near future. Therefore, we focused our efforts on to improve the specificity using a fluorescence tomography system as adjunct to MRI along with targeted/activable probes to increase the specificity. These probes are now only available for animal imaging and it is necessary to evaluate the performance of such a system with animal studies. Hence, this application is aimed at developing a hybrid MR/FDOT system for imaging of rats. If successful, the instrumentation developed during this project can be easily modified for clinical breast imaging and the outcome of our effort will offer a sophisticated tool that could provide high sensitivity and high specificity in the detection and characterization of tumors.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB008716-04
Application #
8091368
Study Section
Special Emphasis Panel (ZRG1-MEDI-A (08))
Program Officer
Conroy, Richard
Project Start
2008-09-05
Project End
2014-06-30
Budget Start
2011-07-01
Budget End
2014-06-30
Support Year
4
Fiscal Year
2011
Total Cost
$310,694
Indirect Cost
Name
University of California Irvine
Department
Miscellaneous
Type
Schools of Medicine
DUNS #
046705849
City
Irvine
State
CA
Country
United States
Zip Code
92697
Kwong, Tiffany C; Nouizi, Farouk; Lin, Yuting et al. (2017) Experimental evaluation of the resolution and quantitative accuracy of temperature-modulated fluorescence tomography. Appl Opt 56:521-529
Luk, Alex; Nouizi, Farouk; Erkol, Hakan et al. (2017) Ex vivo validation of photo-magnetic imaging. Opt Lett 42:4171-4174
Kwong, Tiffany C; Nouizi, Farouk; Cho, Jaedu et al. (2017) Feasibility study of high spatial resolution multimodality fluorescence tomography in ex vivo biological tissue. Appl Opt 56:7886-7891
Nouizi, Farouk; Erkol, Hakan; Luk, Alex et al. (2016) Real-time photo-magnetic imaging. Biomed Opt Express 7:3899-3904
Nouizi, F; Erkol, H; Luk, A et al. (2016) An accelerated photo-magnetic imaging reconstruction algorithm based on an analytical forward solution and a fast Jacobian assembly method. Phys Med Biol 61:7448-7465
Nouizi, Farouk; Luk, Alex; Thayer, Dave et al. (2016) Experimental validation of a high-resolution diffuse optical imaging modality: photomagnetic imaging. J Biomed Opt 21:16009
Lin, Yuting; Lin, Wei-Ching; Fwu, Peter T et al. (2015) Investigation of factors affecting hypothermic pelvic tissue cooling using bio-heat simulation based on MRI-segmented anatomic models. Comput Methods Programs Biomed 122:76-88
Erkol, H; Nouizi, F; Unlu, M B et al. (2015) An extended analytical approach for diffuse optical imaging. Phys Med Biol 60:5103-21
Lin, Yuting; Nouizi, Farouk; Kwong, Tiffany C et al. (2015) Simulation-based evaluation of the resolution and quantitative accuracy of temperature-modulated fluorescence tomography. Appl Opt 54:7612-21
Erkol, Hakan; Nouizi, Farouk; Luk, Alex et al. (2015) Comprehensive analytical model for CW laser induced heat in turbid media. Opt Express 23:31069-84

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