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| Verfasst von: | Nickel, Felix [VerfasserIn]  |
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| | Studier-Fischer, Alexander [VerfasserIn] |
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| | Özdemir, Berkin [VerfasserIn] |
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| | Odenthal, Jan [VerfasserIn] |
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| | Müller, Lucas-Raphael [VerfasserIn] |
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| | Knödler, Samuel [VerfasserIn] |
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| | Kowalewski, Karl-Friedrich [VerfasserIn] |
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| | Camplisson, I. [VerfasserIn] |
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| | Allers, Michael Martin [VerfasserIn] |
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| | Dietrich, Maximilian [VerfasserIn] |
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| | Schmidt, Karsten [VerfasserIn] |
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| | Salg, Gabriel Alexander [VerfasserIn] |
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| | Kenngott, Hannes Götz [VerfasserIn] |
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| | Billeter, Adrian [VerfasserIn] |
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| | Gockel, I. [VerfasserIn] |
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| | Sagiv, C. [VerfasserIn] |
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| | Hadar, O. E. [VerfasserIn] |
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| | Gildenblat, J. [VerfasserIn] |
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| | Ayala, Leonardo [VerfasserIn] |
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| | Seidlitz, Silvia [VerfasserIn] |
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| | Maier-Hein, Lena [VerfasserIn] |
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| | Müller, Beat P. [VerfasserIn] |
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| Titel: | Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging and machine learning in an experimental model for minimally invasive esophagectomy |
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| Verf.angabe: | F. Nickel, A. Studier-Fischer, B. Özdemir, J. Odenthal, L.R. Müller, S. Knoedler, K.F. Kowalewski, I. Camplisson, M.M. Allers, M. Dietrich, K. Schmidt, G.A. Salg, H.G. Kenngott, A.T. Billeter, I. Gockel, C. Sagiv, O.E. Hadar, J. Gildenblat, L. Ayala, S. Seidlitz, L. Maier-Hein, B.P. Müller-Stich |
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| E-Jahr: | 2025 |
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| Jahr: | January 2025 |
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| Umfang: | 13 S. |
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| Illustrationen: | Illustrationen, Diagramme |
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| Fussnoten: | Online verfügbar: 18. April 2023, Artikelversion: 14. Dezember 2024 ; Gesehen am 13.05.2025 |
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| Titel Quelle: | Enthalten in: European journal of surgical oncology |
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| Ort Quelle: | Burlington, Mass. : Harcourt, 1995 |
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| Jahr Quelle: | 2025 |
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| Band/Heft Quelle: | 51(2025), 1 vom: Jan., Artikel-ID 106908, Seite 1-13 |
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| ISSN Quelle: | 1532-2157 |
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| Abstract: | Introduction - Esophagectomy is the mainstay of esophageal cancer treatment, but anastomotic insufficiency related morbidity and mortality remain challenging for patient outcome. Therefore, the objective of this work was to optimize anastomotic technique and gastric conduit perfusion with hyperspectral imaging (HSI) for total minimally invasive esophagectomy (MIE) with linear stapled anastomosis. - Material and methods - A live porcine model (n = 58) for MIE was used with gastric conduit formation and simulation of linear stapled side-to-side esophagogastrostomy. Four main experimental groups differed in stapling length (3 vs. 6 cm) and simulation of anastomotic position on the conduit (cranial vs. caudal). Tissue oxygenation around the anastomotic simulation site was evaluated using HSI and was validated with histopathology. - Results - The tissue oxygenation (ΔStO2) after the anastomotic simulation remained constant only for the short stapler in caudal position (−0.4 ± 4.4%, n.s.) while it was impaired markedly in the other groups (short-cranial: −15.6 ± 11.5%, p = 0.0002; long-cranial: −20.4 ± 7.6%, p = 0.0126; long-caudal: −16.1 ± 9.4%, p < 0.0001). Tissue samples from avascular stomach as measured by HSI showed correspondent eosinophilic pre-necrotic changes in 35.7 ± 9.7% of the surface area. - Conclusion - Tissue oxygenation at the site of anastomotic simulation of the gastric conduit during MIE is influenced by stapling technique. Optimal oxygenation was achieved with a short stapler (3 cm) and sufficient distance of the simulated anastomosis to the cranial end of the gastric conduit. HSI tissue deoxygenation corresponded to histopathologic necrotic tissue changes. The experimental model with HSI and ML allow for systematic optimization of gastric conduit perfusion and anastomotic technique while clinical translation will have to be proven. |
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| DOI: | doi:10.1016/j.ejso.2023.04.007 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext: https://doi.org/10.1016/j.ejso.2023.04.007 |
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| | kostenfrei: Volltext: https://www.sciencedirect.com/science/article/pii/S0748798323004444 |
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| | DOI: https://doi.org/10.1016/j.ejso.2023.04.007 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Gastric conduit |
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| | Hyperspectral imaging |
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| | Linear stapled anastomosis |
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| | Minimally invasive esophagectomy |
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| | Porcine model |
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| | Simulation |
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| | Tissue perfusion |
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| K10plus-PPN: | 192544970X |
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| Verknüpfungen: | → Zeitschrift |
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Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging and machine learning in an experimental model for minimally invasive esophagectomy / Nickel, Felix [VerfasserIn]; January 2025 (Online-Ressource)
