@article{5086c5630a82446cbdf0fe8d17ade985,
title = "Pancreatic cancer cell detection by targeted lipid microbubbles and multiphoton imaging",
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.",
keywords = "cancer research, in-vitro testing, multiphoton, nonlinear optics, pancreatic cancer, targeted microbubbles",
author = "Benjamin Cromey and Ashley McDaniel and Terry Matsunaga and Josef Vagner and Kieu, {Khanh Quoc} and Bhaskar Banerjee",
note = "Funding Information: The authors would like to thank Katha Patel and Phuong-Trinh Dao of the Medical Student Research Program [No. R25NS076437 (KP and PT)] for assistance in sample and bubble preparation. We thank R. Dawson Baker for numerous useful discussions on data analysis. Funding for this project came from the National Science Foundation (NSF) Graduate Research Fellowship under Grant No. DGE-1143953 and NSF Electrical, Computer and Cyber Systems (ECCS) under Grant No. ECCS-1610048. Funding Information: The authors would like to thank Katha Patel and Phuong- Trinh Dao of the Medical Student Research Program [No. R25NS076437 (KP and PT)] for assistance in sample and bubble preparation. We thank R. Dawson Baker for numerous useful discussions on data analysis. Funding for this project came from the National Science Foundation (NSF) Graduate Research Fellowship under Grant No. DGE-1143953 and NSF Electrical, Computer and Cyber Systems (ECCS) under Grant No. ECCS-1610048. Publisher Copyright: {\textcopyright} 2018 Society of Photo-Optical Instrumentation Engineers (SPIE).",
year = "2018",
month = apr,
day = "1",
doi = "10.1117/1.JBO.23.4.046501",
language = "English (US)",
volume = "23",
journal = "Journal of Biomedical Optics",
issn = "1083-3668",
publisher = "SPIE",
number = "4",
}