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The Role of Indocyanine Green Fluorescence in Complex Laparoscopic Cholecystectomy Navigation
Published on: January 31, 2025
[Indocyanine green fluorescence staining in liver surgery]
R Sucher1, M Brunotte1, D Seehofer2
1Klinik für Viszeral‑, Transplantations- Thorax- und Gefäßchirurgie, Universitätsklinikum Leipzig, Liebigstr. 20, 04103, Leipzig, Deutschland.
Indocyanine green (ICG) fluorescence imaging aids liver surgery by visualizing anatomy and tumors. This valuable tool enhances intraoperative detection, particularly in laparoscopic procedures, improving surgical outcomes.
Area of Science:
- Hepatobiliary Surgery
- Surgical Imaging
- Medical Diagnostics
Background:
- Indocyanine green (ICG) offers unique advantages in hepatobiliary surgery due to its exclusive hepatic excretion and near-infrared (NIR) fluorescence properties.
- ICG's characteristics enable novel applications in liver surgery, leveraging its optical capabilities.
Purpose of the Study:
- To systematically review the existing literature on the application of ICG imaging in both open and laparoscopic liver surgery.
- To summarize current scientific understanding and evidence regarding ICG's role in liver surgery.
Main Methods:
- Comprehensive literature review of recent scientific original articles and reviews.
- Synthesis and summary of findings from selected studies on ICG imaging in liver surgery.
Main Results:
- ICG fluorescence imaging is increasingly adopted in liver surgery for real-time display of liver segmental anatomy.
- It facilitates visualization of liver tumors and metastases, aids in detecting bile leaks, and potentially increases R0 resection rates.
- Effectiveness is primarily for superficial lesions due to NIR penetration limitations (8-10 mm).
Conclusions:
- ICG fluorescence staining is a valuable adjunct in contemporary liver surgery, especially in laparoscopic settings.
- It helps overcome challenges in laparoscopic surgery, such as limited tactile feedback and difficult 3D orientation.
- ICG imaging provides supplementary real-time visualization, enhancing surgical precision and decision-making.
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