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采用多模态红外信号技术对子宫内膜癌进行盆腔前哨淋巴结活检:视频文章

Pelvic Sentinel Lymph Node Biopsy for Endometrial Cancer with Multi-Modal Infrared Signal Technology: A Video Article.

作者信息

Perelli Federica, Fera Emanuele Arturo, Giusti Marco, Mattei Alberto, Vizzielli Giuseppe, Arcieri Martina, Centini Gabriele, Zupi Errico, Scambia Giovanni, Cavaliere Anna Franca, Rovero Giulia

机构信息

Azienda USL Toscana Centro, Gynecology and Obstetrics Department, Santa Maria Annunziata Hospital, 50012 Florence, Italy.

Clinic of Obstetrics and Gynecology, "Santa Maria della Misericordia" University Hospital, Azienda Sanitaria Universitaria Friuli Centrale, 33100 Udine, Italy.

出版信息

Healthcare (Basel). 2024 Sep 3;12(17):1752. doi: 10.3390/healthcare12171752.

Abstract

This video article summarizes a case study involving the use of pelvic sentinel lymph node (SLN) biopsy for endometrial cancer (EC) staging and treatment utilizing a multi-modal infrared signal technology. This innovative approach combines cervical injection of fluorescent dye indocyanine green (ICG) and near-infrared imaging to enhance SLN detection rates in early-stage EC patients. The study showcases the successful application of advanced technology in improving surgical staging procedures and reducing postoperative morbidity for patients. Multi-modal infrared signal technology consists of different modes of fluorescence imaging used to identify lymph nodes based on near-infrared signals. Each mode serves a specific purpose: overlay image combines white light and near-infrared signals in green, monochromatic visualization shows near-infrared signal in greyscale, and intensity map combines signals in a color scale to differentiate signal intensity. Yellow denotes strong near-infrared signals while blue represents weaker signals. By utilizing a multi-modal approach, surgeons can accurately identify and remove SLN, thus avoiding unnecessary removal of secondary or tertiary echelons.

摘要

本文视频总结了一个病例研究,该研究涉及利用多模态红外信号技术对子宫内膜癌(EC)进行分期和治疗的盆腔前哨淋巴结(SLN)活检。这种创新方法结合了宫颈注射荧光染料吲哚菁绿(ICG)和近红外成像,以提高早期EC患者的SLN检测率。该研究展示了先进技术在改善手术分期程序和降低患者术后发病率方面的成功应用。多模态红外信号技术由用于基于近红外信号识别淋巴结的不同荧光成像模式组成。每种模式都有特定用途:叠加图像将白光和近红外信号以绿色组合显示,单色可视化以灰度显示近红外信号,强度图以颜色比例组合信号以区分信号强度。黄色表示强近红外信号,而蓝色表示较弱信号。通过采用多模态方法,外科医生可以准确识别并切除SLN,从而避免不必要地切除二级或三级淋巴结。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d637/11394696/6f4771482629/healthcare-12-01752-g001.jpg

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