Quantitative perfusion assessment using indocyanine green during surgery — current applications and recommendations for future use
Langenbeck s Archives of Surgery, vol. 408, pp. 67
Abstract
PURPOSE: Incorrect assessment of tissue perfusion carries a significant risk of complications in surgery. The use of near-infrared (NIR) fluorescence imaging with Indocyanine Green (ICG) presents a possible solution. However, only through quantification of the fluorescence signal can an objective and reproducible evaluation of tissue perfusion be obtained. This narrative review aims to provide an overview of the available quantification methods for perfusion assessment using ICG NIR fluorescence imaging and to present an overview of current clinically utilized software implementations. METHODS: PubMed was searched for clinical studies on the quantification of ICG NIR fluorescence imaging to assess tissue perfusion. Data on the utilized camera systems and performed methods of quantification were collected. RESULTS: Eleven software programs for quantifying tissue perfusion using ICG NIR fluorescence imaging were identified. Five of the 11 programs have been described in three or more clinical studies, including Flow® 800, ROIs Software, IC Calc, SPY-Q™, and the Quest Research Framework®. In addition, applying normalization to fluorescence intensity analysis was described for two software programs. CONCLUSION: Several systems or software solutions provide a quantification of ICG fluorescence; however, intraoperative applications are scarce and quantification methods vary abundantly. In the widespread search for reliable quantification of perfusion with ICG NIR fluorescence imaging, standardization of quantification methods and data acquisition is essential.
Authors 7
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Leiden University Medical Center
Affiliation as printed
Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands. P.van_den_hoven@lumc.nl
Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
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Copenhagen University Hospital · Rigshospitalet
Affiliation as printed
Department of Surgery and Transplantation, Copenhagen University Hospital Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark
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Copenhagen University Hospital · Rigshospitalet
Affiliation as printed
Department of Surgery and Transplantation, Copenhagen University Hospital Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark
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Copenhagen Academy for Medical Education and Simulation · Capital Region of Denmark
Affiliation as printed
CAMES Engineering, Copenhagen Academy for Medical Education and Simulation, Centre for Human Resources and Education, The Capital Region of Denmark, Copenhagen, Denmark
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Leiden University Medical Center
Affiliation as printed
Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
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Leiden University Medical Center
Affiliation as printed
Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
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Copenhagen University Hospital · Rigshospitalet
Affiliation as printed
Department of Surgery and Transplantation, Copenhagen University Hospital Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark
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