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Updated: Aug 28, 2026

Multispectral Real-time Fluorescence Imaging for Intraoperative Detection of the Sentinel Lymph Node in Gynecologic Oncology
Published on: October 20, 2010
A Prospective Assessment of Near-Infrared Image-Guided Sentinel Lymph Node Identification in Esophageal and
Daniela Molena1, Tamar Nobel1, Marisa Sewell1
1Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
Abstract:
Objective: To evaluate the feasibility of sentinel lymph node (SLN) identification in distal esophageal and esophagogastric junction (EGJ) adenocarcinoma and determine whether the SLN concept applies to this disease. Methods: Patients undergoing esophagectomy for clinical stage I-IVA esophageal and EGJ adenocarcinoma underwent SLN mapping by near-infrared detection of indocyanine green (ICG) injected via endoscopy before esophagectomy. Lymphatic drainage patterns were recorded, and the first identified nodes (SLNs) were harvested. Standard esophagectomy and lymphadenectomy were performed. SLN status was compared with overall nodal status. Results: Of 90 included patients, 77 received ICG; SLN mapping was successful in 64 (83%). Ten patients had two SLN stations identified; the remainder had one. The most common SLN location was along the left gastric artery (36/74 [48%]), followed by the paracardial (17/74 [23%]) and periesophageal (15/74 [20%]) stations. Seven patients had SLNs positive for metastasis (in one, the SLN was the only positive node; in the rest, metastatic nodes were identified in the same or other stations). Of the 57 patients with negative SLNs, 11 (19%) had ≥1 positive node in the same or different nodal station. The false-negative rate was 61.1%. Conclusions: SLN mapping with ICG is feasible in patients with distal esophageal and EGJ adenocarcinoma, with a high rate of successful node identification. Occult nodal metastasis in patients with negative SLNs limits the reliability of SLN assessment as a determinant for selective lymphadenectomy.
