4.8 Article

eTargeted multimodal nano-reporters for pre-procedural MRI and intra-operative image-guidance

Journal

BIOMATERIALS
Volume 109, Issue -, Pages 69-77

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.biomaterials.2016.09.013

Keywords

Upconversion nanoparticles; Medical imaging; Cancer; Interventional radiology; Multimodal probe

Funding

  1. ACS (American Cancer Society) [ACS 279148]
  2. National Cancer Institute [R01CA141047, R21CA173491, R21EB017986, R21CA185274]
  3. National Institute of Biomedical Imaging and Bioengineering
  4. Center for Translational Imaging at Northwestern University
  5. NASA Ames Research Center [NNA04CC36G]
  6. U. S. Department of Energy, Office of Science, Office of Basic Energy Sciences [DE-AC02-06CH11357]
  7. Argonne National Laboratory

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Multimodal-imaging probes offer a novel approach, which can provide detail diagnostic information for the planning of image-guided therapies in clinical practice. Here we report targeted multimodal Nd3+-doped upconversion nanoparticle (UCNP) imaging reporters, integrating both magnetic resonance imaging (MRI) and real-time upconversion luminescence imaging (UCL) capabilities within a single platform. Nd3+-doped UCNPs were synthesized as a core shell structure showing a bright visible emission upon excitation at the near infrared (minimizing biological overheating and increasing tissue penetration depth) as well as providing strong MRI 1-2 contrast (high r(2)/r(1) ratio). Transcatheter intra-arterial infusion of Nd3+-doped UCNP5 conjugated with anti-CD44-monoclonal antibody allowed for high performance in vivo multimodal UCL and MR imaging of hepatocellular carcinoma (HCC) in an orthotopic rat model. The resulted in vivo multimodal imaging of Nd3+ doped core-shell UCNP5 combined with transcatheter intra-arterial targeting approaches successfully discriminated liver tumors from normal hepatic tissues in rats for surgical resection applications. The demonstrated multimodal UCL and MRI imaging capabilities of our multimodal UCNP5 reporters suggest strong potential for in vivo visualization of tumors and precise surgical guidance to fill the gap between pre-procedural imaging and intraoperative reality. (C) 2016 Elsevier Ltd. All rights reserved.

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