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Updated: Jun 13, 2025
Tissue-simulating Phantoms for Assessing Potential Near-infrared Fluorescence Imaging Applications in Breast Cancer Surgery
Published on: September 19, 2014
Illuminating the future of precision cancer surgery with fluorescence imaging and artificial intelligence convergence
Han Cheng1,2,3,4,5, Hongtao Xu1,2,3,4,5, Boyang Peng6
1Department of Oral and Maxillofacial-Head & Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Abstract:
Real-time and accurate guidance for tumor resection has long been anticipated by surgeons. In the past decade, the flourishing material science has made impressive progress in near-infrared fluorophores that may fulfill this purpose. Fluorescence imaging-guided surgery shows great promise for clinical application and has undergone widespread evaluations, though it still requires continuous improvements to transition this technique from bench to bedside. Concurrently, the rapid progress of artificial intelligence (AI) has revolutionized medicine, aiding in the screening, diagnosis, and treatment of human doctors. Incorporating AI helps enhance fluorescence imaging and is poised to bring major innovations to surgical guidance, thereby realizing precision cancer surgery. This review provides an overview of the principles and clinical evaluations of fluorescence-guided surgery. Furthermore, recent endeavors to synergize AI with fluorescence imaging were presented, and the benefits of this interdisciplinary convergence were discussed. Finally, several implementation strategies to overcome technical hurdles were proposed to encourage and inspire future research to expedite the clinical application of these revolutionary technologies.
Insights
Artificial intelligence (AI) combined with near-infrared fluorescence imaging offers improved guidance for tumor resection surgery. This synergy enhances precision cancer surgery, moving innovative techniques closer to clinical practice.
Area of Science:
- Biomedical Engineering
- Surgical Oncology
- Medical Imaging
Background:
- Near-infrared (NIR) fluorophores have advanced significantly, offering potential for real-time surgical guidance.
- Fluorescence imaging-guided surgery (FIGS) shows promise but requires further development for widespread clinical adoption.
- Artificial intelligence (AI) is transforming medicine, with potential applications in enhancing surgical procedures.
Purpose of the Study:
- To review the principles and clinical evaluations of fluorescence-guided surgery.
- To explore the integration of AI with fluorescence imaging for improved surgical guidance.
- To discuss strategies for overcoming challenges in clinical implementation.
Main Methods:
- Review of current literature on NIR fluorophores and FIGS.
- Analysis of AI applications in medical imaging and surgical guidance.
- Discussion of interdisciplinary convergence benefits and implementation strategies.
Main Results:
- Fluorescence imaging-guided surgery is a promising technique requiring further refinement.
- AI integration can significantly enhance fluorescence imaging capabilities for surgery.
- Synergy between AI and FIGS can lead to major innovations in precision cancer surgery.
Conclusions:
- The convergence of AI and fluorescence imaging holds significant potential for advancing precision cancer surgery.
- Overcoming technical hurdles is crucial for expediting the clinical application of these technologies.
- Future research should focus on interdisciplinary collaboration to translate these innovations from bench to bedside.
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