Pancreatic cancer cell detection by targeted lipid microbubbles and multiphoton imaging
Affiliation
Univ Arizona, Coll Opt SciUniv Arizona, Coll Med, Dept Med Imaging
Univ Arizona, Dept Biomed Engn
Univ Arizona, Inst BIO5
Univ Arizona, Coll Med, Dept Med
Issue Date
2018-04Keywords
multiphotoncancer research
pancreatic cancer
nonlinear optics
targeted microbubbles
in-vitro testing
Metadata
Show full item recordCitation
Benjamin Cromey, Benjamin Cromey, Ashley McDaniel, Ashley McDaniel, Terry Matsunaga, Terry Matsunaga, Josef Vagner, Josef Vagner, Khanh Quoc Kieu, Khanh Quoc Kieu, Bhaskar Banerjee, Bhaskar Banerjee, } "Pancreatic cancer cell detection by targeted lipid microbubbles and multiphoton imaging," Journal of Biomedical Optics 23(4), 046501 (9 April 2018).Journal
JOURNAL OF BIOMEDICAL OPTICSRights
© 2018 SPIE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Surgical resection of pancreatic cancer represents the only chance of cure and long-term survival in this common disease. Unfortunately, determination of a cancer-free margin at surgery is based on one or two tiny frozen section biopsies, which is far from ideal. Not surprisingly, cancer is usually left behind and is responsible for metastatic disease. We demonstrate a method of receptor-targeted imaging using peptide ligands, lipid microbubbles, and multiphoton microscopy that could lead to a fast and accurate way of examining the entire cut surface during surgery. Using a plectin-targeted microbubble, we performed a blinded in-vitro study to demonstrate avid binding of targeted microbubbles to pancreatic cancer cells but not noncancerous cell lines. Further work should lead to a much-needed point-of-care diagnostic test for determining clean margins in oncologic surgery. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)ISSN
1083-3668PubMed ID
29633610Version
Final published versionSponsors
Katha Patel and PhuongTrinh Dao of the Medical Student Research Program [R25NS076437]; National Science Foundation (NSF) Graduate Research Fellowship [DGE-1143953]; NSF Electrical, Computer and Cyber Systems (ECCS) [ECCS-1610048]ae974a485f413a2113503eed53cd6c53
10.1117/1.JBO.23.4.046501
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