[预防胃肠道吻合口漏的现代方法和技术]。

Chirurgie (Heidelberg, Germany) Pub Date : 2024-11-01 Epub Date: 2024-09-28 DOI:10.1007/s00104-024-02179-7
Kamacay Cira, Dirk Wilhelm, Philipp-Alexander Neumann
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引用次数: 0

摘要

胃肠道吻合口的愈合是一个复杂的生物学过程,受多种因素的影响。支持愈合和预防吻合口漏(AL)的策略多种多样,包括术前、术中和术后措施。术前干预旨在优化患者和组织环境,尤其是肠道微生物群。术中措施属于技术性措施,包括手术入路的选择、吻合技术和吻合口加固。术中诊断的各种程序可以识别需要额外保护措施的吻合口。最近,吲哚菁绿(ICG)透视技术已被用于评估组织灌注,而光谱显微镜等新技术也提供了很好的可能性。术后诊断方法的目的是尽早发现潜在的 AL,以便在症状出现之前就采取治疗措施。这些方法包括各种成像技术,以及用于早期 AL 检测的创新型生物可吸收、pH 值敏感植入物。由于 AL 的成因是多方面的,技术可能性也多种多样,因此没有任何一种方法可以预防 AL。取而代之的是,各种措施的综合应用将最终实现最佳的吻合口愈合。人工智能的使用和基于数据的分析有望更好地解读大量数据,从而提供一般性建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Modern approaches and technologies to prevent anastomotic leakage in the gastrointestinal tract].

The healing of gastrointestinal anastomoses is a complex biological process influenced by numerous factors. Various strategies to support healing and prevent anastomotic leakage (AL) exist, encompassing preoperative, intraoperative and postoperative measures. Preoperative interventions aim to optimize the patient and the tissue environment, particularly the gut microbiome. Intraoperative measures are technical in nature and include the choice of surgical access, the anastomotic technique and anastomotic reinforcement. Various procedures of the intraoperative diagnostics enable identification of such anastomoses requiring additional protective measures. Recently, indocyanine green (ICG) fluoroscopy has become established for evaluation of tissue perfusion, while newer techniques such as spectral microscopy offer promising possibilities. Postoperative diagnostic methods aim to identify potential AL as early as possible to enable initiation of therapeutic steps even before the onset of symptoms. These procedures range from various imaging techniques to innovative bioresorbable, pH-sensitive implants for early AL detection. Due to the multifactorial genesis of AL and the diverse technical possibilities, no single method will become established for prevention of AL. Instead, a combination of measures will ultimately lead to optimal anastomotic healing. The use of artificial intelligence and analyses based on the data promises a better interpretation of the vast amount of data and therefore to be able to provide general recommendations.

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