A translational blueprint for developing intraoperative imaging agents via radiopharmaceutical-guided drug design

Teresa E Sullivan1, Servando Hernandez Vargas1, Sukhen C Ghosh1

  • 1The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77054, USA.

Insights

Radiopharmaceuticals are being converted into fluorescent agents for improved cancer detection during surgery. This approach enhances tumor visualization and surgical precision by leveraging existing nuclear medicine tools.

Area of Science:

  • Molecular imaging
  • Nuclear medicine
  • Surgical oncology

Background:

  • Cancer imaging is advancing with new molecular targets and sensitive detection techniques.
  • Nuclear medicine offers non-invasive whole-body tumor visualization and monitoring.
  • Fluorescence-guided surgery (FGS) enhances tumor-tissue discrimination in the operating room.

Purpose of the Study:

  • To review strategies for converting radiopharmaceuticals into fluorescent and multimodal agents.
  • To highlight the translational potential of using radiopharmaceuticals as models for FGS agents.
  • To discuss the unique capabilities offered by radiopharmaceutical-based agent design.

Main Methods:

  • Review of existing literature on radiopharmaceutical conversion for FGS.
  • Analysis of strategies for developing fluorescent and multimodal counterparts.
  • Examination of preclinical and clinical applications of these agents.

Main Results:

  • Successful conversion of clinically used radiopharmaceuticals into fluorescent agents is feasible.
  • Radiopharmaceutical-based agents offer unique advantages for FGS.
  • Multimodal agents combine imaging and therapeutic capabilities.

Conclusions:

  • Converting radiopharmaceuticals into fluorescent agents holds significant translational potential for FGS.
  • This approach leverages established nuclear medicine expertise for surgical guidance.
  • Radiopharmaceutical-based design enables advanced preclinical and clinical cancer imaging.