Infrared metrics for fixation-free liver tumor detection

Zhaomin Chen, Ryan Butke, Barrie Miller, Charles L. Hitchcock, Heather C. Allen, Stephen P. Povoski, Edward W. Martin, James V. Coe

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Infrared (IR) spectroscopic imaging of human liver tissue slices has been used to identify and characterize liver tumors. Liver tissue, containing a liver metastasis of breast origin (mucinous carcinoma), was surgically removed from a consenting patient and frozen without formalin fixation or dehydration procedures, so that lipids and water remained in the tissues. A set of IR metrics (ratios of various IR peaks) was determined for tumors in fixation-free liver tissues. K-means cluster analysis was used to tell tumor from nontumor. In this case, there was a large reduction in lipid content upon going from nontumor to tumor tissue, and a well-resolved IR spectrum of nontumor liver lipid was obtained and analyzed. These IR metrics may someday guide work on IR spectroscopic diagnostics on patients in the operating room. This work also suggests utility for these methods beyond the identification of liver tumors, perhaps in the study of liver lipids.

Original languageEnglish
Pages (from-to)12442-12450
Number of pages9
JournalJournal of Physical Chemistry B
Volume117
Issue number41
DOIs
StatePublished - Oct 17 2013

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