title: In vivo fluorescence imaging of hepatocellular carcinoma xenograft using near-infrared labeled epidermal growth factor receptor (EGFR) peptide.
abstract: Minimally-invasive surgery of hepatocellular carcinoma (HCC) can be limited by poor tumor visualization with white light. We demonstrate systemic administration of a Cy5.5-labeled peptide specific for epidermal growth factor receptor (EGFR) to target HCC in vivo in a mouse xenograft model. We attached a compact imaging module to the proximal end of a medical laparoscope to collect near-infrared fluorescence and reflectance images concurrently at 15 frames/sec. We measured a mean target-to-background ratio of 2.99 ± 0.22 from 13 surgically exposed subcutaneous human HCC tumors in vivo in 5 mice. This integrated imaging methodology is promising to guide laparoscopic resection of HCC.
authors.affiliation: Department of Hepatobiliary Surgery, Peking University People's Hospital, Beijing, 100044, China.
authors.forename: Z
authors.initials: Z
authors.lastname: Li
authors.affiliation: Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
authors.forename: Q
authors.initials: Q
authors.lastname: Zhou
authors.affiliation: Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
authors.forename: J
authors.initials: J
authors.lastname: Zhou
authors.affiliation: Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
authors.forename: X
authors.initials: X
authors.lastname: Duan
authors.affiliation: Department of Hepatobiliary Surgery, Peking University People's Hospital, Beijing, 100044, China.
authors.forename: J
authors.initials: J
authors.lastname: Zhu
authors.affiliation: Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
authors.forename: T D
authors.initials: TD
authors.lastname: Wang
keywords: (110.0110) Imaging systems; (170.0170) Medical optics and biotechnology