In 2009, an estimated 197,300 women with early stage invasive breast cancer and/or carcinoma in situ (CIS) received breast conserving surgery (BCS). BCS involves removal of malignant tissue with a surrounding margin of normal breast tissue. Residual cancer found in this margin after surgery is an important predictor of local recurrence of cancer after BCS. Recently, it was found that one death was averted for every four women in which a local recurrence is avoided. Thus, complete tumor excision is essential to reduce the risk of recurrence. As many as 20-70% of BCS patients must undergo re-excision surgery, because their cancer was incompletely removed during the first BCS procedure. This represents an enormous physical burden to the patient (increasing her chances for surgical complications and/or eventual cancer-related mortality) and financial burden to the health care system (effectively doubling the cost of treatment for this group of patients). By 2015, it is expected that the number of patients undergoing BCS will rise from approximately 197,000 to more than 270,000 per year in the U.S., at an annual growth rate of 5.5%. With no industry standard to prevent re-excision, it is expected that there will be a concomitant rise in the number of re-excision surgeries. Thus, there is a significant unmet clinical need for effective intra-operative assessment of breast tumor margins. The long-term research objective of this application is to develop a clinically-viable system for wide-field high-resolution microscopy of the tumor bed in BCS procedures, using a wide-field optically-sectioned scanning imager optimized for in vivo imaging, and non-toxic tissue-enhancing fluorescent contrast agents. This would be combined with automated image classification algorithms, which confer an automatic decision to the surgeon intra-operatively, whether or not additional tissue should be resected from the tumor bed. The objective of this development-phase R21 proposal is to complete a critical technology refinement, and to validate it in a pre-clinical tumor margin model.
The specific aims of the current R21 proposal are 1) To develop a practical, non-contact, optically-sectioned wide-field fluorescence imaging system for in vivo tumor bed assessment, and 2) To evaluate the imaging system for in vivo tumor margin assessment in a transgenic murine tumor margin model. Successful completion of the R21 will result in a critical first step towards a clinically-viable system for in vivo fluorescence histology of breast tumor margins.

Public Health Relevance

The successful development of a clinically-viable system and methodology for in vivo microscopic analysis of breast tissue has tremendous implications for the more than 197,000 women who annually undergo breast conserving cancer surgery. There is currently no widely available intra-operative tool to aid surgeons in determining whether surgery has been successful, therefore 20-70% of these women will undergo multiple surgeries to have their cancer fully removed. The development of a system which allows high-resolution microscopic mapping of the tumor bed could allow surgeons to catch bits of tumor left behind in the patient during the first surgery, thereby preventing the need for multiple surgeries, decreasing the patients'chances for surgical complications and tumor recurrence, and drastically reducing the healthcare costs for this growing patient population.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21CA159936-02
Application #
8225170
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Baker, Houston
Project Start
2011-03-01
Project End
2012-06-30
Budget Start
2012-03-01
Budget End
2012-06-30
Support Year
2
Fiscal Year
2012
Total Cost
$132,750
Indirect Cost
$48,196
Name
Duke University
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705