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

IF 1.2 4区 医学 Q3 SURGERY
Surgical Innovation Pub Date : 2024-12-01 Epub Date: 2024-10-05 DOI:10.1177/15533506241290079
Minoli Rajasinghe, Tarana Lucky, Shamitha Kathurusinghe
{"title":"The Role of Indocyanine Green With Near-Infrared Imaging for the Intraoperative Detection and Enhancement of Endometriosis Lesions: A Narrative Review.","authors":"Minoli Rajasinghe, Tarana Lucky, Shamitha Kathurusinghe","doi":"10.1177/15533506241290079","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background:</b> 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.<b>Methods:</b> 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.<b>Results:</b> 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).<b>Conclusion:</b> 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.</p>","PeriodicalId":22095,"journal":{"name":"Surgical Innovation","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11476485/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surgical Innovation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/15533506241290079","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/5 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: 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.Methods: 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.Results: 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).Conclusion: 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.

吲哚菁绿与近红外成像在术中检测和增强子宫内膜异位症病灶中的作用:综述。
背景:临床上需要改进子宫内膜异位症的术中检测,而吲哚菁绿近红外成像(NIR-ICG)是一种新型的术中检测技术。本综述旨在确定近红外成像(NIR-ICG)是否是检测子宫内膜异位症的有效工具,并为其使用制定循证方法:方法:本综述检索了Ovid MEDLINE和Embase至2023年7月的文献,并考虑了以英文发表的描述使用近红外-ICG在术中检测子宫内膜异位症的主要文献。不考虑病例研究、视频演示和描述近红外成像技术用于其他手术的文章。由两位作者独立筛选确定的研究,并由一位作者提取数据:结果:在纳入的九项研究中,有六项研究发现近红外-ICG能提高子宫内膜异位症的检测效果,并能识别更多病灶,而其余三项研究发现近红外-ICG的疗效与现行标准相比没有变化或有所降低。在所有研究中,近红外-ICG 都会漏检一些病灶,而这些病灶在常规成像中都能检测到。研究发现,从使用染料到看到病灶之间的时间越长,检测效果越好。本综述提出的理想 ICG 方案是在手术前根据患者体重使用一定量的染料(0.25-0.3 mg/kg),然后在成像前等待较长时间(10-30 分钟):结论:作为传统白光成像的辅助手段,近红外-ICG 可能有助于术中识别子宫内膜异位症,尤其是浸润较深的疾病。然而,这一领域还需要大量的进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Surgical Innovation
Surgical Innovation 医学-外科
CiteScore
2.90
自引率
0.00%
发文量
72
审稿时长
6-12 weeks
期刊介绍: Surgical Innovation (SRI) is a peer-reviewed bi-monthly journal focusing on minimally invasive surgical techniques, new instruments such as laparoscopes and endoscopes, and new technologies. SRI prepares surgeons to think and work in "the operating room of the future" through learning new techniques, understanding and adapting to new technologies, maintaining surgical competencies, and applying surgical outcomes data to their practices. This journal is a member of the Committee on Publication Ethics (COPE).
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信