[使用吲哚菁绿对脑和脊髓肿瘤进行实时术中荧光诊断和手术技术]。

Q4 Medicine
Jun Muto, Yutaka Mine, Yuichi Hirose
{"title":"[使用吲哚菁绿对脑和脊髓肿瘤进行实时术中荧光诊断和手术技术]。","authors":"Jun Muto, Yutaka Mine, Yuichi Hirose","doi":"10.11477/mf.030126030530020308","DOIUrl":null,"url":null,"abstract":"<p><p>This article discusses the development and clinical application of intraoperative fluorescence-guided diagnosis for brain and spinal tumors using indocyanine green (ICG). The Delayed Window ICG (DWIG) technique enhances tumor visualization during surgery, improving resection accuracy and prognosis. By exploiting ICG's selective tumor accumulation and its correlation with MRI gadolinium contrast, DWIG enables real-time identification of tumor boundaries. This technique has demonstrated utility in various tumor types and post-radiation necrosis. Future integration with artificial intelligence and augmented reality technologies may bring advanced surgical precision and support. Expanding ICG applications in brain and spinal tumor surgeries appears to improve both safety and treatment outcomes.</p>","PeriodicalId":35984,"journal":{"name":"Neurological Surgery","volume":"53 2","pages":"308-316"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Real-Time Intraoperative Fluorescence Diagnosis and Surgical Techniques for Brain and Spinal Tumors Using Indocyanine Green].\",\"authors\":\"Jun Muto, Yutaka Mine, Yuichi Hirose\",\"doi\":\"10.11477/mf.030126030530020308\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This article discusses the development and clinical application of intraoperative fluorescence-guided diagnosis for brain and spinal tumors using indocyanine green (ICG). The Delayed Window ICG (DWIG) technique enhances tumor visualization during surgery, improving resection accuracy and prognosis. By exploiting ICG's selective tumor accumulation and its correlation with MRI gadolinium contrast, DWIG enables real-time identification of tumor boundaries. This technique has demonstrated utility in various tumor types and post-radiation necrosis. Future integration with artificial intelligence and augmented reality technologies may bring advanced surgical precision and support. Expanding ICG applications in brain and spinal tumor surgeries appears to improve both safety and treatment outcomes.</p>\",\"PeriodicalId\":35984,\"journal\":{\"name\":\"Neurological Surgery\",\"volume\":\"53 2\",\"pages\":\"308-316\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neurological Surgery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11477/mf.030126030530020308\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurological Surgery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11477/mf.030126030530020308","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

摘要

本文就吲哚菁绿(ICG)在术中荧光引导下诊断脑脊部肿瘤的发展及临床应用作一综述。延迟窗口ICG (DWIG)技术提高了手术中肿瘤的可见性,提高了切除的准确性和预后。通过利用ICG的选择性肿瘤积累及其与MRI钆造影剂的相关性,DWIG能够实时识别肿瘤边界。该技术已被证明在各种肿瘤类型和放疗后坏死中具有实用价值。未来与人工智能和增强现实技术的融合可能会带来先进的手术精度和支持。扩大ICG在脑部和脊柱肿瘤手术中的应用似乎可以提高安全性和治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Real-Time Intraoperative Fluorescence Diagnosis and Surgical Techniques for Brain and Spinal Tumors Using Indocyanine Green].

This article discusses the development and clinical application of intraoperative fluorescence-guided diagnosis for brain and spinal tumors using indocyanine green (ICG). The Delayed Window ICG (DWIG) technique enhances tumor visualization during surgery, improving resection accuracy and prognosis. By exploiting ICG's selective tumor accumulation and its correlation with MRI gadolinium contrast, DWIG enables real-time identification of tumor boundaries. This technique has demonstrated utility in various tumor types and post-radiation necrosis. Future integration with artificial intelligence and augmented reality technologies may bring advanced surgical precision and support. Expanding ICG applications in brain and spinal tumor surgeries appears to improve both safety and treatment outcomes.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Neurological Surgery
Neurological Surgery Medicine-Medicine (all)
自引率
0.00%
发文量
99
×
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:604180095
Book学术官方微信