Abstract | OBJECTIVE: The primary objective was to assess the feasibility and accuracy of intraoperative sentinel lymph node mapping by using a video-assisted thoracoscopic indocyanine green fluorescence imaging system in patients with clinical stage I non-small-cell lung cancer. METHODS: Thirty-one patients who underwent operation between January 2009 and September 2009 were investigated for sentinel node biopsy. Indocyanine green fluorescence imaging was applied by an infrared light charge-coupled device, and sentinel nodes were identified intraoperatively and dissected. Histologic examination by hematoxylin- eosin staining was used to evaluate metastases. RESULTS: Sentinel lymph nodes were identified by segmentectomy in 11 of 14 patients (78.5%) and by lobectomy in 14 of 17 patients (82.4%). The total identification rate was 80.7% (25/31 patients), the false-negative rate was 0% (0/24 patients), and the overall accuracy rate was 80.7% (25/31 patients). CONCLUSION:
|
Authors | Shin-ichi Yamashita, Keita Tokuishi, Kentaro Anami, Michiyo Miyawaki, Toshihiko Moroga, Mirei Kamei, Shuji Suehiro, Kiyoshi Ono, Shinsuke Takeno, Masao Chujo, Satoshi Yamamoto, Katsunobu Kawahara |
Journal | The Journal of thoracic and cardiovascular surgery
(J Thorac Cardiovasc Surg)
Vol. 141
Issue 1
Pg. 141-4
(Jan 2011)
ISSN: 1097-685X [Electronic] United States |
PMID | 20392454
(Publication Type: Journal Article)
|
Copyright | Copyright © 2011 The American Association for Thoracic Surgery. Published by Mosby, Inc. All rights reserved. |
Chemical References |
- Fluorescent Dyes
- Indocyanine Green
|
Topics |
- Aged
- Aged, 80 and over
- Carcinoma, Non-Small-Cell Lung
(pathology, surgery)
- False Negative Reactions
- Feasibility Studies
- Female
- Fluorescence
- Fluorescent Dyes
- Humans
- Indocyanine Green
- Japan
- Lung Neoplasms
(pathology, surgery)
- Lymph Node Excision
- Lymphatic Metastasis
- Male
- Middle Aged
- Neoplasm Staging
- Pneumonectomy
- Predictive Value of Tests
- Sentinel Lymph Node Biopsy
(methods)
- Thoracic Surgery, Video-Assisted
|