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Fluorescence image-guided tumour surgery

  • Kun Wang
  • , Yang Du
  • , Zeyu Zhang
  • , Kunshan He
  • , Zhongquan Cheng
  • , Lin Yin
  • , Di Dong
  • , Changjian Li
  • , Wei Li
  • , Zhenhua Hu
  • , Chong Zhang
  • , Hui Hui
  • , Chongwei Chi
  • , Jie Tian*
  • *Corresponding author for this work
  • CAS - Institute of Automation
  • University of Chinese Academy of Sciences
  • CAS - Institute of Software
  • Capital Medical University
  • Jinan University
  • Beijing Technology and Business University

Research output: Contribution to journalReview articlepeer-review

Abstract

Intraoperative fluorescent imaging can provide real-time identification of tumours, lymph nodes, nerves and other healthy and malignant tissues during oncological surgery, contributing to better surgical outcomes. Various fluorescent probes have been clinically approved for surgical applications, improving tumour resection precision and preventing iatrogenic injury. In this Review, we discuss the development and application of fluorescent probes for image-guided surgery, including systemically and locally applied probes that are either non-targeted or targeted to specific tumours and tissues. We discuss the optimization and clinical potential of these probes, and highlight their current and future applications in oncological surgery. In addition, we examine the hardware of fluorescence imaging equipment, and discuss how artificial intelligence can enable real-time quantification to guide surgical decision-making. Finally, we highlight the remaining challenges in the field of image-guided surgery, including the need for standardization to achieve regulatory approval of new probes, and the required team effort for new probe development.

Original languageEnglish
Article number18356
Pages (from-to)161-179
Number of pages19
JournalNature Reviews Bioengineering
Volume1
Issue number3
DOIs
StatePublished - Mar 2023

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