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基于荧光图像的食管胃吻合术中胃管灌注评估

Fluorescence Image-Based Evaluation of Gastric Tube Perfusion during Esophagogastrostomy.

作者信息

Quan Yu Hua, Han Kook Nam, Kim Hyun Koo

机构信息

Department of Thoracic and Cardiovascular Surgery, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.

Department of Biomedical Science, Korea University College of Medicine, Seoul, Korea.

出版信息

Korean J Thorac Cardiovasc Surg. 2020 Aug 5;53(4):178-183. doi: 10.5090/kjtcs.2020.53.4.178.

Abstract

During esophagectomy and esophagogastrostomy, the prediction of anastomotic leakage relies on the operating surgeon's tactile or visual diagnosis. Therefore, anastomotic leaks are relatively unpredictable, and new intraoperative evaluation methods or tools are essential. A fluorescence imaging system enables visualization over a wide region of interest, and provides intuitive information on perfusion intraoperatively. Surgeons can choose the best anastomotic site of the gastric tube based on fluorescence images in real time during surgery. This technology provides better surgical outcomes when used with an optimal injection dose and timing of indocyanine green.

摘要

在食管切除术和食管胃吻合术中,吻合口漏的预测依赖于手术医生的触觉或视觉诊断。因此,吻合口漏相对难以预测,新的术中评估方法或工具至关重要。荧光成像系统能够在广泛的感兴趣区域实现可视化,并在术中提供有关灌注的直观信息。手术过程中,外科医生可以根据荧光图像实时选择胃管的最佳吻合部位。当与吲哚菁绿的最佳注射剂量和时机配合使用时,这项技术可带来更好的手术效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff6a/7409886/9df5be431906/KJTCV-53-178-f1.jpg

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