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吲哚菁绿在乳腺癌患者前哨淋巴结检测中的应用:从临床前评估到临床验证。

Use of indocyanine green for detecting the sentinel lymph node in breast cancer patients: from preclinical evaluation to clinical validation.

机构信息

Intelligent Medical Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.

The Breast Center, Cancer Hospital, Shantou University Medical College, Shantou, China.

出版信息

PLoS One. 2013 Dec 16;8(12):e83927. doi: 10.1371/journal.pone.0083927. eCollection 2013.

Abstract

Assessment of the sentinel lymph node (SLN) in patients with early stage breast cancer is vital in selecting the appropriate surgical approach. However, the existing methods, including methylene blue and nuclides, possess low efficiency and effectiveness in mapping SLNs, and to a certain extent exert side effects during application. Indocyanine green (ICG), as a fluorescent dye, has been proved reliable usage in SLN detection by several other groups. In this paper, we introduce a novel surgical navigation system to detect SLN with ICG. This system contains two charge-coupled devices (CCD) to simultaneously capture real-time color and fluorescent video images through two different bands. During surgery, surgeons only need to follow the fluorescence display. In addition, the system saves data automatically during surgery enabling surgeons to find the registration point easily according to image recognition algorithms. To test our system, 5 mice and 10 rabbits were used for the preclinical setting and 22 breast cancer patients were utilized for the clinical evaluation in our experiments. The detection rate was 100% and an average of 2.7 SLNs was found in 22 patients. Our results show that the usage of our surgical navigation system with ICG to detect SLNs in breast cancer patients is technically feasible.

摘要

评估早期乳腺癌患者的前哨淋巴结 (SLN) 对于选择合适的手术方法至关重要。然而,现有的方法,包括亚甲蓝和核素,在 SLN 定位方面效率和效果都较低,并且在应用过程中会产生一定的副作用。吲哚菁绿 (ICG) 作为一种荧光染料,已被其他几个研究小组证明在 SLN 检测中具有可靠的应用。在本文中,我们介绍了一种使用 ICG 检测 SLN 的新型手术导航系统。该系统包含两个电荷耦合器件 (CCD),可通过两个不同的波段同时捕获实时彩色和荧光视频图像。在手术过程中,外科医生只需要遵循荧光显示。此外,该系统在手术过程中自动保存数据,使外科医生可以根据图像识别算法轻松找到注册点。为了测试我们的系统,我们在临床前环境中使用了 5 只老鼠和 10 只兔子,在临床评估中使用了 22 名乳腺癌患者。检测率为 100%,在 22 名患者中平均发现了 2.7 个 SLN。我们的结果表明,使用我们的带有 ICG 的手术导航系统检测乳腺癌患者的 SLN 在技术上是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a7/3865279/c2d6bafa72d7/pone.0083927.g001.jpg

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