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ID 116983
Title Alternative
Long-term outcomes of SN idenitification
Author
Matsuoka, Hisashi Japanese Red Cross Kochi Hospital
Keywords
Indocyanine green
lung cancer
sentinel node
Content Type
Journal Article
Description
Background: Sentinel node (SN) biopsy is used in the management of numerous cancers to avoid unnecessary lymphadenectomy. This was a clinical exploration/feasibility study of a novel identification technique for SN biopsy using indocyanine green (ICG) fluorescence imaging during lung cancer surgery.
Methods: SN biopsy using ICG was performed on 22 patients who had cT1 or T2N0M0 lung cancer. ICG was injected just around the primary tumor. The fluorescence imaging system enabled visualization of the lymphatic vessels draining from the primary tumor toward the lymph nodes. Fluorescently labeled nodes were dissected, and patients were followed-up for prognosis and recurrence to confirm the pattern of lymph node metastasis after surgery.
Results: SNs were successfully identified in 16 (72.7%) of 22 patients. A total of 13 of 16 patients had pathological N0 and three had SN metastasis. The median follow-up time was 92.7 months. Only one patient had no SN metastasis at the postoperative pathological examination and lymph node metastasis during the follow-up period. The accuracy rate was 93.8% (15/16) and the false-negative rate was 7.7% (1/13).
Conclusions: SNs were identified by ICG fluorescence imaging, and this technique during lung cancer surgery had good identification and accuracy rates throughout the follow-up period.
Journal Title
Thoracic Cancer
ISSN
17597714
17597706
Publisher
China Lung Oncology Group|John Wiley & Sons Australia
Volume
12
Issue
2
Start Page
165
End Page
171
Published Date
2020-11-21
Rights
This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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DOI (Published Version)
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language
eng
TextVersion
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departments
University Hospital
Medical Sciences