Identification of Metastatic Lymph Nodes Using Indocyanine Green Fluorescence Imaging.
Kyungsu KimKook Nam HanByeong Hyeon ChoiJiyun RhoJun Hee LeeJae Seon EoChungyeul KimBeop-Min KimOk Hwa JeonHyun Koo KimPublished in: Cancers (2023)
Indocyanine green (ICG) has been used to detect several types of tumors; however, its ability to detect metastatic lymph nodes (LNs) remains unclear. Our goal was to determine the feasibility of ICG in detecting metastatic LNs. We established a mouse model and evaluated the potential of ICG. The feasibility of detecting metastatic LNs was also evaluated in patients with lung or esophageal cancer, detected with computed tomography (CT) or positron-emission tomography (PET)/CT, and scheduled to undergo surgical resection. Tumors and metastatic LNs were successfully detected in the mice. In the clinical study, the efficacy of ICG was evaluated in 15 tumors and fifty-four LNs with suspected metastasis or anatomically key regional LNs. All 15 tumors were successfully detected. Among the fifty-four LNs, eleven were pathologically confirmed to have metastasis; all eleven were detected in ICG fluorescence imaging, with five in CT and seven in PET/CT. Furthermore, thirty-four LNs with no signals were pathologically confirmed as nonmetastatic. Intravenous injection of ICG may be a useful tool to detect metastatic LNs and tumors. However, ICG is not a targeting agent, and its relatively low fluorescence makes it difficult to use to detect tumors in vivo. Therefore, further studies are needed to develop contrast agents and devices that produce increased fluorescence signals.
Keyphrases
- fluorescence imaging
- positron emission tomography
- pet ct
- computed tomography
- photodynamic therapy
- squamous cell carcinoma
- small cell lung cancer
- lymph node
- mouse model
- dual energy
- image quality
- pet imaging
- type diabetes
- contrast enhanced
- magnetic resonance imaging
- high dose
- adipose tissue
- single molecule
- low dose
- risk assessment
- metabolic syndrome
- climate change
- skeletal muscle
- insulin resistance
- quantum dots
- neoadjuvant chemotherapy
- high fat diet induced