Guiding esophagectomy with intraoperative NIR-II fluorescence video imaging and rapid computation
Abstract
Preclinical shortwave infrared/near-infrared II (SWIR/NIR-II, 1,000 to 3,000 nm) fluorescence imaging has shown superior contrast, resolution, and penetration depth compared to traditional near-infrared I (NIR-I, 700 to 900 nm) imaging, owing to reduced light scattering and tissue autofluorescence. Here, we carried out clinical translation of NIR-II fluorescence imaging to guide esophagectomy through intraoperative video imaging and rapid analysis of blood perfusion in the gastric conduits (GC) of esophageal cancer patients, following intravenous administration of indocyanine green (ICG). Within <1 min, NIR-II video imaging clearly visualized the spatial and temporal blood flow features, and importantly, intraoperative principal component analysis (PCA) of the video revealed distinct perfusion patterns in GC. This led to rapid, subjective decision-making for targeted resection of poorly perfused tissue and informed reconstruction of the GC to reduce the risk of life-threatening anastomotic leakage. This approach enhances surgical precision and improves outcomes by providing operator-independent intraoperative guidance.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (12)
Feifei Wang
Ian Yu Hong Wong
Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong
Haoran Liu
Marine Biogeochemistry Division, GEOMAR Helmholtz Centre for Ocean Research
Zhisheng Wu
Department of Electrical and Electronic Engineering
Claudia Lai Yin Wong
Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong
Danyang Xu
Department of Electrical and Electronic Engineering
Desmond Kwan Kit Chan
Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong
Betty Tsz Ting Law
Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong
Fion Siu Yin Chan
Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong
Liangqiong Qu
Department of Statistics and Actuarial Science, The University of Hong Kong
Simon Ying Kit Law
Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong
Hongjie Dai
The University of Hong Kong-SIRI , , ,