Guiding esophagectomy with intraoperative NIR-II fluorescence video imaging and rapid computation

F Feifei Wang I Ian Yu Hong Wong (Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong) H Haoran Liu (Marine Biogeochemistry Division, GEOMAR Helmholtz Centre for Ocean Research) Z Zhisheng Wu (Department of Electrical and Electronic Engineering) C Claudia Lai Yin Wong (Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong) D Danyang Xu (Department of Electrical and Electronic Engineering) D Desmond Kwan Kit Chan (Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong) B Betty Tsz Ting Law (Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong) F Fion Siu Yin Chan (Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong) L Liangqiong Qu (Department of Statistics and Actuarial Science, The University of Hong Kong) S Simon Ying Kit Law (Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong) H Hongjie Dai (The University of Hong Kong-SIRI , , ,)

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

Volume / Issue Vol. 122, Issue 49
Published December 09, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (12)

F

Feifei Wang

I

Ian Yu Hong Wong

Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong

H

Haoran Liu

Marine Biogeochemistry Division, GEOMAR Helmholtz Centre for Ocean Research

Z

Zhisheng Wu

Department of Electrical and Electronic Engineering

C

Claudia Lai Yin Wong

Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong

D

Danyang Xu

Department of Electrical and Electronic Engineering

D

Desmond Kwan Kit Chan

Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong

B

Betty Tsz Ting Law

Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong

F

Fion Siu Yin Chan

Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong

L

Liangqiong Qu

Department of Statistics and Actuarial Science, The University of Hong Kong

S

Simon Ying Kit Law

Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong

H

Hongjie Dai

The University of Hong Kong-SIRI , , ,