A narrative review of near-infrared fluorescence imaging in hepatectomy for hepatocellular carcinoma
Year: 2021
Type: review
Abstract: Hepatectomy is a main therapeutic strategy for hepatocellular carcinoma (HCC), which requires removal of primary and disseminated tumors and maximum preservation of normal liver tissue. However, in a clinical operation, it is difficult to recognize the tumor tissue and its boundary with the naked eye and palpation, which often leads to insufficient or excessive resection. Near-infrared fluorescence (NIRF) imaging, a non-invasive, real-time, low-cost, and highly sensitive imaging technique has been extensively studied in surgical navigation. With the development of fluorescence imaging system and fluorescent probe, intraoperative tumor detection and margin definition can be achieved, making the operation more accurate. Advances in fluorescence imaging of HCC in the NIR region have focused on the traditional first NIR window (NIR-I, 700-900 nm), and have recently been extended to the second NIR window (NIR-II, 1,000-1,700 nm). Compared with NIR-I imaging, fluorescence imaging in the NIR-II exhibits great advantages, including higher spatial resolution, deeper penetration depth, and lower optical absorption and scattering from biological substrates with minimal tissue autofluorescence. There is no doubt that developing novel NIRF probes for in vivo imaging of HCC has high significance and direct impact on the field of liver surgery. In this article, the development of various NIRF probes for fluorescence image guided HCC hepatectomy is reviewed, and current challenges and potential opportunities of these imaging probes are discussed.
Source: Annals of Translational Medicine
DOI: 10.21037/atm-20-5341
Authors: Weiqi Zhang, Zhenhua Hu, Jie Tian, Chihua Fang
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
Funders: Innovative Research Team of High-level Local University in Shanghai, National Natural Science Foundation of China, Chinese Academy of Sciences, Xidian University, Beijing Nova Program, National High-tech Research and Development Program, National Key Research and Development Program of China
OpenAlex ID: W3122586403
