Poster abstracts

Poster number 34 submitted by Ran Li

Characterization of fixation-free liver using Infrared spectroscopy with and without mesh

Ran Li, Zhaomin Chen,James V. Coe,Heather C. Allen (Department of Chemistry and Biochemistry, The Ohio State University, 100 West 18th Avenue, Columbus, OH 43210, USA), Barrie Miller,Charles L. Hitchcock (Department of Pathology, The Ohio State University, 129 Hamilton Hall, 1645 Neil Avenue, Columbus, OH 43210, USA), Stephen P. Povoski, Edward W. Martin Jr. (Division of Surgical Oncology, Department of Surgery, The Ohio State University, 410 West 10th Avenue, Columbus, OH 43210, USA)

Abstract:
Pathologic assessment of a resected tumor specimen relies on the judgment of the individual pathologists, which, however can result in inconsistency in diagnosis. Furthermore, the final histopathologic report is generally not available until many days after the performed surgical procedure. Highly sensitive, non-invasive techniques for identifying and distinguishing cancer-bearing tissues from non-cancer-bearing tissues can potentially serve as extremely important adjunct methodologies to that of standard histolopathologic tissue analysis for real-time cancer detection as it relates to the assessment of surgical resection margins and the completeness of surgical resection in both the operating room and the pathology department. In this study, infrared (IR) spectroscopy is used to assess tumor vs. non-tumor regions by k-means clustering analysis. A set of newly developed biomarkers were evaluated. The region between 1476─1776 cm-1 is simultaneously fit with band lineshapes and 2nd derivatives to evaluate the protein contents in tumor and non-tumor regions. Surface plasmonic material is able to improve the diagnostic capacity of the IR spectroscopy and brings this technology into current pathology practices and ultimately into the operating room. Later in the study, such material is introduced. The use of mesh/tissue/window produces an interferometric pattern with regions demonstrating either destructive or constructive interference. New peaks are shown in the IR spectra. Subsequently, they are selected to build up new biomarkers and further analyzed quantitatively.

Keywords: FTIR imaging, surface plasmon resonance, k-means clustering analysis