Breast cancer is the second leading cause of cancer-related death and second most frequently diagnosed cancer in women in the United States1. Breast conserving surgery with radiation has emerged as the preferred method for treating breast cancer while preserving breast tissue and without compromising survival rates. Local recurrence following partial mastectomy is strongly correlated to the surgical margin2-4, but despite evaluation using a combination of intraoperative examination and post-operative histopathology, 40% of patients require surgical re-excision as a result of positive or close margins5, 6. Two-photon microscopy (TPM) has demonstrated significant resolution, molecular specificity, and light efficiency advantages over conventional white-light and fluorescence microscopes for imaging endogenous and exogenous contrast both in vivo and ex vivo7-9. However, scattering tissue severely degrades two-photon signals and resolution, limiting the fundamental imaging depth of TPM to ~100

Public Health Relevance

The proposal emphasizes the development of an imaging system that combines optical coherence tomography with two-photon microscopy for biomarker specific imaging of surgical margins for breast cancer detection. By combing this novel multimodal system with wavefront correction methods, we can enhance the detection depth, sensitivity, and specificity to achieve rapid intraoperative assessment of tumor margins as a means of reducing the morbidity and mortality associated with breast cancer.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
5F32CA165484-02
Application #
8366384
Study Section
Special Emphasis Panel (ZRG1-F15-P (20))
Program Officer
Jakowlew, Sonia B
Project Start
2011-09-26
Project End
2013-02-28
Budget Start
2012-09-26
Budget End
2013-02-28
Support Year
2
Fiscal Year
2012
Total Cost
$22,757
Indirect Cost
Name
Massachusetts Institute of Technology
Department
None
Type
Organized Research Units
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02139
Tao, Yuankai K; Shen, Dejun; Sheikine, Yuri et al. (2014) Assessment of breast pathologies using nonlinear microscopy. Proc Natl Acad Sci U S A 111:15304-9