Advances in optical molecular imaging for neural visualization

Frontiers in Bioengineering and Biotechnology

Bioengineering and Biotechnology

Wenkai Liang¹  Shufeng Han¹  Jinzheng Wei²  Chao Liu³  Xiaofeng Yang³ 

[1] Department of Orthopaedics, First Hospital of Shanxi Medical University, Taiyuan, China;Department of Orthopaedics, First Hospital of Shanxi Medical University, Taiyuan, China;First Clinical Medical College, Shanxi Medical University, Taiyuan, China;Department of Urology, First Hospital of Shanxi Medical University, Taiyuan, China;

关键词: optical molecular imaging;    multimodal imaging;    intraoperative imaging;    nerve visualization;    neural fluorescence agents;   

DOI  :  10.3389/fbioe.2023.1250594

 received in 2023-06-30, accepted in 2023-08-10,  发布年份 2023

来源: Frontiers

【 摘 要 】

Iatrogenic nerve injury is a significant complication in surgery, which can negatively impact patients’ quality of life. Currently, the main clinical neuroimaging methods, such as computed tomography, magnetic resonance imaging, and high-resolution ultrasonography, do not offer precise real-time positioning images for doctors during surgery. The clinical application of optical molecular imaging technology has led to the emergence of new concepts such as optical molecular imaging surgery, targeted surgery, and molecular-guided surgery. These advancements have made it possible to directly visualize surgical target areas, thereby providing a novel method for real-time identification of nerves during surgery planning. Unlike traditional white light imaging, optical molecular imaging technology enables precise positioning and identifies the cation of intraoperative nerves through the presentation of color images. Although a large number of experiments and data support its development, there are few reports on its actual clinical application. This paper summarizes the research results of optical molecular imaging technology and its ability to realize neural visualization. Additionally, it discusses the challenges neural visualization recognition faces and future development opportunities.

【 授权许可】

Unknown   
Copyright © 2023 Wei, Liu, Liang, Yang and Han.