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Quantitative perfusion assessment using indocyanine green during surgery - current applications and recommendations for future use.
Van Den Hoven, P; Osterkamp, J; Nerup, N; Svendsen, M B S; Vahrmeijer, Alexander; Van Der Vorst, J R; Achiam, M P.
Afiliación
  • Van Den Hoven P; Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands. P.van_den_hoven@lumc.nl.
  • Osterkamp J; Department of Surgery and Transplantation, Copenhagen University Hospital Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark.
  • Nerup N; Department of Surgery and Transplantation, Copenhagen University Hospital Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark.
  • Svendsen MBS; CAMES Engineering, Copenhagen Academy for Medical Education and Simulation, Centre for Human Resources and Education, The Capital Region of Denmark, Copenhagen, Denmark.
  • Vahrmeijer A; Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
  • Van Der Vorst JR; Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
  • Achiam MP; Department of Surgery and Transplantation, Copenhagen University Hospital Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark.
Langenbecks Arch Surg ; 408(1): 67, 2023 Jan 26.
Article en En | MEDLINE | ID: mdl-36700999
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Verde de Indocianina Límite: Humans Idioma: En Revista: Langenbecks Arch Surg Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Verde de Indocianina Límite: Humans Idioma: En Revista: Langenbecks Arch Surg Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Alemania