Nanoparticle-mediated radiopharmaceutical-excited fluorescence molecular imaging allows precise image-guided

Zhenhua Hu1, Chongwei Chi2, Muhan Liu2

  • 1Key Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing, China; The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.

Insights

A new radiopharmaceutical-excited fluorescent (REF) imaging technique uses nanoparticles for enhanced cancer surgery. This method improves tumor detection, even for small or residual tissues, enabling more precise surgical removal.

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Medical Imaging

Background:

  • Optical image-guided cancer surgery is crucial but limited by low signal-to-noise ratios from external light excitation.
  • Existing fluorescent molecular imaging techniques face challenges in efficacy due to external light interference.

Purpose of the Study:

  • To introduce and evaluate a novel nanoparticle-mediated radiopharmaceutical-excited fluorescent (REF) imaging strategy for image-guided cancer surgery.
  • To overcome the limitations of external light excitation in fluorescent image-guided cancer surgery.

Main Methods:

  • Developed a REF imaging strategy using europium oxide nanoparticles for dual-excitation via gamma rays and Cerenkov luminescence.
  • Evaluated the technique in preclinical models, including subcutaneous breast cancer (4T1) and hepatocellular carcinoma (orthotropic and orthotropic-ectopic) in mice.

Main Results:

  • The REF technique demonstrated high performance in detecting ultra-small tumors (less than 1 mm) and residual tumor tissues.
  • Successfully identified invisible tumor margins and residual cancer post-resection in animal models.

Conclusions:

  • The novel REF image-guided cancer surgery strategy shows significant potential for precise tumor resection.
  • This internal excitation-based fluorescent imaging offers a promising advancement for improving surgical outcomes in oncology.

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