Spectral Differentiation Between Normal Breast Tissue, Tumors, and Tumor Margins as Confirmation for Tumor Removal
Lead Presenter: Christina Uttero
Additional Presenters: Antonella I. Mazur, Jennifer M. Schubert, Ellen J. (Swain) Marcsisin, Benjamin Bird, Miloš Miljković, and Max Diem
Faculty Advisor/Principal Investigator: Max Diem
Method of Presentation: Poster
Fourier Transform Infrared spectroscopy (FTIR) is a powerful technique used to classify and distinguish between different tissue types in a given sample based upon distinct spectral features. It can also be used as a diagnostic tool for pathologists based on the spectral differentiation between cancerous and non-cancerous areas. The overall goal of this research project is to spectrally distinguish between regions containing tumors and normal tissue as a method for pathologists to use during malignant tumor excision. During excision, pathologists frequently remove an area of tissue surrounding the tumor, known as the tumor margin, to ensure complete tumor removal. Often, diseased areas are still missed or too much tissue is removed. Using a completely automated data acquisition and analysis system developed at the Laboratory for Spectral Diagnosis, pathologists would be able to detect the margin of recession more accurately than presently possible to ensure complete tumor removal. Preliminary data presented demonstrates spectral variance between pure stroma and adipose-laced stroma in the tumor margin. This data will allow for the compilation of a spectral database of normal tissue samples as a comparison for tumor margin samples for spectral confirmation of tumor removal.