Multimodal Imaging Nanoparticles Derived from Hyaluronic Acid for Integrated Preoperative and Intraoperative Cancer Imaging

William M Payne, Tanner K Hill, Denis Svechkarev, Megan B Holmes, Balasrinivasa R Sajja, Aaron M Mohs

Research output: Contribution to journalArticlepeer-review

Abstract

Surgical resection remains the most promising treatment strategy for many types of cancer. Residual malignant tissue after surgery, a consequence in part due to positive margins, contributes to high mortality and disease recurrence. In this study, multimodal contrast agents for integrated preoperative magnetic resonance imaging (MRI) and intraoperative fluorescence image-guided surgery (FIGS) are developed. Self-assembled multimodal imaging nanoparticles (SAMINs) were developed as a mixed micelle formulation using amphiphilic HA polymers functionalized with either GdDTPA for T1 contrast-enhanced MRI or Cy7.5, a near infrared fluorophore. To evaluate the relationship between MR and fluorescence signal from SAMINs, we employed simulated surgical phantoms that are routinely used to evaluate the depth at which near infrared (NIR) imaging agents can be detected by FIGS. Finally, imaging agent efficacy was evaluated in a human breast tumor xenograft model in nude mice, which demonstrated contrast in both fluorescence and magnetic resonance imaging.

Original languageEnglish (US)
Pages (from-to)9616791
JournalContrast Media and Molecular Imaging
Volume2017
DOIs
StatePublished - 2017

Keywords

  • Animals
  • Breast Neoplasms/diagnostic imaging
  • Female
  • Heterografts
  • Humans
  • Hyaluronic Acid
  • Intraoperative Period
  • Magnetic Resonance Imaging/methods
  • Mice
  • Multimodal Imaging/methods
  • Nanoparticles/chemistry
  • Optical Imaging/methods
  • Phantoms, Imaging
  • Preoperative Period
  • Surgery, Computer-Assisted/methods

Fingerprint

Dive into the research topics of 'Multimodal Imaging Nanoparticles Derived from Hyaluronic Acid for Integrated Preoperative and Intraoperative Cancer Imaging'. Together they form a unique fingerprint.

Cite this