1. Indocyanine Green Fluorescence Imaging to Predict Graft Survival After Orthotopic Liver Transplantation: A Pilot Study
- Author
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Muga Terasawa, Quentin Nicolas, Eric Vibert, René Adam, Marc-Antoine Allard, Chady Salloum, Oriana Ciacio, Nicolas Golse, Daniel Cherqui, Didier Samuel, Gabriella Pittau, Antonio Sa Cunha, Irene E. Vignon-Clementel, Damien Dousse, Luis Cano, Hôpital Paul Brousse, Physiopathologie et traitement des maladies du foie, Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Hôpital de Rangueil, CHU Toulouse [Toulouse], Numerical simulation of biological flows (REO), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jacques-Louis Lions (LJLL (UMR_7598)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Nutrition, Métabolismes et Cancer (NuMeCan), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and BOPA_BERNOULLI
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Indocyanine Green ,Orthotopic liver transplantation ,[SDV]Life Sciences [q-bio] ,medicine.medical_treatment ,Pilot Projects ,Near-infrared fluorescence ,030230 surgery ,Liver transplantation ,Revascularization ,Modelling ,Indocyanine green dye ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Primary non-function ,Humans ,Medicine ,Prospective Studies ,Prospective cohort study ,Transplantation ,Hepatology ,business.industry ,Graft Survival ,Optical Imaging ,[SDV.MHEP.HEG]Life Sciences [q-bio]/Human health and pathology/Hépatology and Gastroenterology ,Liver Transplantation ,3. Good health ,Fluorescence intensity ,chemistry ,030211 gastroenterology & hepatology ,Surgery ,Graft survival ,Graft function ,business ,Nuclear medicine ,Indocyanine green ,Indocyanine green fluorescence - Abstract
Introduction: The incidence of primary non-function (PNF) after liver transplantation (LT) remains a major concern with the increasing use of marginal grafts. Indocyanine green (ICG) fluorescence is an imaging technique used in hepatobiliary surgery and LT. Because few early predictors are available, we aimed to quantify in real time the fluorescence of grafts during LT to predict their 3 months survival. Patients and methods: After graft revascularization, ICG was intravenously injected, then the fluorescence of the graft was captured with a near infrared camera and postoperatively quantified. A multi-parametric modelling of the parenchymal fluorescence intensity curve was proposed, and a predictive model of graft survival was tested. Results: Between July 2017 and May 2019, 76 LT were included, among which 6 recipients were re-transplanted (re-LT+ ). No side effects of ICG injection were observed. The parameter a150 (temporal course of fluorescence intensity) was significantly higher in the group re-LT+ group (0.022s-1 [0.016-0.035] versus 0.012s-1 [0.009-0.015], p=0.01). This parameter was the only independent predictive factor of graft survival at 3 months (OR=2.4 CI95% [1.05-5.5] p=0.03). The best cut-off for the parameter a150 (0.0155s-1 ) predicted the graft survival at 3 months with a sensitivity of 83% and a specificity of 79% (AUC=0.82 [0.67-0.98], p=0.01). Conclusion: Quantitative assessment of intraoperative ICG fluorescence on the graft was feasible to predict graft survival at 3 months with a good sensitivity and specificity. Further prospective studies should validate these results over larger cohorts and evaluate the clinical impact of this tool.
- Published
- 2020
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