Cited by 1,126Optical Imaging and Spectroscopy TechniquesSpectroscopy Techniques in Biomedical and Chemical ResearchNanoplatforms for cancer theranostics

First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows

Hu, Zhenhua, Fang, Cheng, Li, Bo, Zhang, Zeyu, Cao, Caiguang, Cai, Meishan, Su, Song, Sun, Xingwang +11 more·2019·Nature Biomedical Engineering

Abstract

The second near-infrared wavelength window (NIR-II, 1,000-1,700 nm) enables fluorescence imaging of tissue with enhanced contrast at depths of millimetres and at micrometre-scale resolution. However, the lack of clinically viable NIR-II equipment has hindered the clinical translation of NIR-II imaging. Here, we describe an optical-imaging instrument that integrates a visible multispectral imaging system with the detection of NIR-II and NIR-I (700-900 nm in wavelength) fluorescence (by using the dye indocyanine green) for aiding the fluorescence-guided surgical resection of primary and metastatic liver tumours in 23 patients. We found that, compared with NIR-I imaging, intraoperative NIR-II imaging provided a higher tumour-detection sensitivity (100% versus 90.6%; with 95% confidence intervals of 89.1%-100% and 75.0%-98.0%, respectively), a higher tumour-to-normal-liver-tissue signal ratio (5.33 versus 1.45) and an enhanced tumour-detection rate (56.41% versus 46.15%). We infer that combining the NIR-I/II spectral windows and suitable fluorescence probes might improve image-guided surgery in the clinic.

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Crossref · 10.1038/s41551-019-0494-0

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  • Significant liver accumulation of NIR-II cyanine dyes generates intense background fluorescence, further compromising imaging accuracy.

    “Compounding this issue, significant liver accumulation of these dyes generates intense background fluorescence, further compromising imaging accuracy66.”

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Authors
Hu, Z., Fang, C., Li, B., Zhang, Z., Cao, C., Cai, M., Su, S., Sun, X., Shi, X., Li, C., Zhou, T., Zhang, Y., Chi, C., He, P., Xia, X., Chen, Y., Gambhir, S. S., Cheng, Z., & Tian, J.
Affiliations
  • Chinese Academy of Sciences (CN)
  • Southwest Medical University (CN)
  • Xidian University (CN)
  • Stanford Medicine (US)
Corresponding author
  • Gambhir, Sanjiv Sam
  • Cheng, Zhen
  • Tian, Jie
Venue
Nature Biomedical Engineering
Published
2019-12-23
Volume
4
Issue
3
Pages
259-271
ISSN
2157-846X (ISSN-L)
OpenAlex
W2995471545
Cited by
1,126
References
38
Citations by year
2026: 120 · 2025: 197 · 2024: 203 · 2023: 206 · 2022: 179 · 2021: 149 · 2020: 72
FWCI
66.02
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Biomedical Engineering (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Natural Science Foundation of China (81930053, 61622117, 81671759, 81227901)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
  • Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
Keywords
NIR-II fluorescence imaging, multispectral imaging, fluorescence-guided surgery, liver tumors, indocyanine green, cancer detection
MeSH terms
Animals, Disease Models, Animal, Female, Fluorescence, Carcinoma, Hepatocellular, Humans, Indocyanine Green, Infrared Rays, Liver, Liver Neoplasms, Male, Surgery, Computer-Assisted, Mice, Hep G2 Cells, Optical Imaging

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