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Advances in optical molecular imaging for neural visualization.

Jinzheng Wei1,2, Chao Liu3, Wenkai Liang1

  • 1Department of Orthopaedics, First Hospital of Shanxi Medical University, Taiyuan, China.

Frontiers in Bioengineering and Biotechnology
|September 6, 2023
PubMed
Summary

Optical molecular imaging offers real-time nerve visualization during surgery, improving precision and patient outcomes. This technology enhances surgical planning and intraoperative guidance, addressing limitations of current neuroimaging methods.

Keywords:
intraoperative imagingmultimodal imagingnerve visualizationneural fluorescence agentsoptical molecular imaging

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Area of Science:

  • Medical Imaging
  • Surgical Technology
  • Neuroscience

Background:

  • Iatrogenic nerve injury is a major surgical complication impacting patient quality of life.
  • Current neuroimaging (CT, MRI, ultrasound) lacks real-time intraoperative nerve positioning.
  • Existing methods fail to provide precise visual guidance for nerve identification during surgery.

Purpose of the Study:

  • To review optical molecular imaging technology for neural visualization in surgery.
  • To explore the potential of molecular-guided surgery for real-time nerve identification.
  • To discuss challenges and future opportunities in neural visualization recognition.

Main Methods:

  • Summarizing research on optical molecular imaging for neural visualization.
  • Analyzing the application of optical molecular imaging in surgical contexts.
  • Reviewing advancements in targeted and molecular-guided surgery.

Main Results:

  • Optical molecular imaging enables real-time, color-based identification of intraoperative nerves.
  • This technology facilitates precise positioning, unlike traditional white light imaging.
  • It supports concepts like optical molecular imaging surgery and molecular-guided surgery.

Conclusions:

  • Optical molecular imaging presents a novel method for real-time nerve identification during surgery.
  • Despite supporting data, clinical applications are currently limited.
  • Further development is needed to overcome challenges in neural visualization recognition for widespread adoption.