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吲哚菁绿近红外成像在子宫内膜异位症病变术中检测和增强中的作用:叙事性综述。

The Role of Indocyanine Green With Near-Infrared Imaging for the Intraoperative Detection and Enhancement of Endometriosis Lesions: A Narrative Review.

机构信息

Epworth Healthcare, Richmond, VIC, Australia.

Faculty of Medicine, Dentistry & Health Sciences, University of Melbourne, Melbourne, VIC, Australia.

出版信息

Surg Innov. 2024 Dec;31(6):659-669. doi: 10.1177/15533506241290079. Epub 2024 Oct 5.

Abstract

There is a clinical need for improved intraoperative detection of endometriosis, and the use of Indocyanine Green with Near-Infrared Imaging (NIR-ICG) is a novel technique for this purpose. The aim of this review is to determine whether NIR-ICG is an effective tool for endometriosis detection and establish an evidence-based methodology for its use. This review searches Ovid MEDLINE and Embase through July 2023 and considers primary literature published in English describing the use of NIR-ICG to detect endometriosis intraoperatively. Case studies, video demonstrations and articles describing NIR-ICG used for other surgical roles were not considered. Identified studies were screened independently by two authors, and data was extracted by a single author. NIR-ICG was found to enhance the detection of endometriosis in six out of the nine included studies with additional lesion identification, and to have an unchanged or reduced efficacy compared to current standards in the remaining three. Across all studies there were lesions missed by NIR-ICG which were detected by conventional imaging. A greater duration of time between dye administration and visualisation of lesions was found to be more effective for detection. The ideal ICG protocol proposed from this review is a fixed amount of dye proportional to patient weight prior to surgery (0.25-0.3 mg/kg) followed by a longer waiting time before imaging (10-30 min). NIR-ICG has a possible role to enhance the identification of endometriosis intraoperatively as an adjunct to conventional white light imaging, particularly deeper infiltrating disease. However, substantial further research is required in this field.

摘要

临床上需要改进子宫内膜异位症的术中检测,而使用吲哚菁绿近红外成像(NIR-ICG)是一种用于此目的的新技术。本综述的目的是确定 NIR-ICG 是否是一种有效的子宫内膜异位症检测工具,并为其使用建立循证方法。本综述在 2023 年 7 月之前通过 Ovid MEDLINE 和 Embase 进行检索,并考虑了描述使用 NIR-ICG 术中检测子宫内膜异位症的主要文献。未考虑病例研究、视频演示和描述 NIR-ICG 用于其他手术角色的文章。由两位作者独立筛选确定的研究,并由一位作者提取数据。NIR-ICG 被发现可以增强 9 项纳入研究中的 6 项研究中子宫内膜异位症的检测,与其余 3 项研究中的当前标准相比,其额外的病变识别效果没有改变或降低。在所有研究中,都有 NIR-ICG 错过的病变被常规成像检测到。研究发现,在染色剂给药和病变可视化之间延长时间间隔更有利于检测。本综述提出的理想 ICG 方案是在手术前根据患者体重给予固定剂量的染料(0.25-0.3mg/kg),然后在成像前等待更长的时间(10-30 分钟)。NIR-ICG 可能在术中作为常规白光成像的辅助手段,特别是在深部浸润性疾病中,增强子宫内膜异位症的识别具有一定作用。然而,该领域还需要进一步的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28ee/11476485/4df291735800/10.1177_15533506241290079-fig1.jpg

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