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吲哚菁绿引导下口腔癌前哨淋巴结 mapping 的最新进展

Recent Developments of ICG-Guided Sentinel Lymph Node Mapping in Oral Cancer.

作者信息

Kim Ji-Hoon, Ku Minhee, Yang Jaemoon, Byeon Hyung Kwon

机构信息

Department of Otorhinolaryngology, National Health Insurance Service Ilsan Hospital, Goyang 10444, Korea.

Department of Radiology, Yonsei University College of Medicine, Seoul 03722, Korea.

出版信息

Diagnostics (Basel). 2021 May 17;11(5):891. doi: 10.3390/diagnostics11050891.

DOI:10.3390/diagnostics11050891
PMID:34067713
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8156251/
Abstract

Sentinel lymph node (SLN) biopsy has gained attention as a method of minimizing the extent of neck dissection with a similar survival rate as elective neck dissection in oral cancer. Indocyanine green (ICG) imaging is widely used in the field of surgical oncology. Real-time ICG-guided SLN imaging has been widely used in minimally invasive surgeries for various types of cancers. Here, we provide an overview of conventional SLN biopsy and ICG-guided SLN mapping techniques for oral cancer. Although ICG has many strengths, it still has limitations regarding its potential use as an ideal compound for SLN mapping. The development of novel fluorophores and imaging technology is needed for accurate identification of SLNs, which will allow precision surgery that would reduce morbidities and increase patient survival.

摘要

前哨淋巴结(SLN)活检作为一种使颈部清扫范围最小化的方法受到关注,其在口腔癌中的生存率与选择性颈部清扫相似。吲哚菁绿(ICG)成像在外科肿瘤学领域广泛应用。实时ICG引导的SLN成像已广泛用于各种类型癌症的微创手术。在此,我们概述了用于口腔癌的传统SLN活检和ICG引导的SLN定位技术。尽管ICG有许多优点,但就其作为SLN定位的理想化合物的潜在用途而言仍有局限性。需要开发新型荧光团和成像技术以准确识别前哨淋巴结,这将实现精准手术,从而降低发病率并提高患者生存率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b0/8156251/d2ea3a18ca43/diagnostics-11-00891-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b0/8156251/987597fa91e5/diagnostics-11-00891-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b0/8156251/d2ea3a18ca43/diagnostics-11-00891-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b0/8156251/987597fa91e5/diagnostics-11-00891-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b0/8156251/d2ea3a18ca43/diagnostics-11-00891-g002.jpg

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