Literature DB >> 24335267

Clinical trial of video-assisted thoracoscopic segmentectomy using infrared thoracoscopy with indocyanine green.

Shintaro Tarumi1, Noriyuki Misaki2, Yoshitaka Kasai2, Sung Soo Chang2, Tetsuhiko Go2, Hiroyasu Yokomise2.   

Abstract

OBJECTIVES: The maintenance of a good surgical view is mandatory in video-assisted thoracoscopic surgery (VATS). For routine segmentectomy, it is necessary to re-inflate the lung in order to identify the intersegmental line. However, such re-inflation can occasionally obstruct the surgical view. Infrared thoracoscopy (IRT) with indocyanine green (ICG) can reveal the intersegmental line based on blood flow differences, without the need for lung re-inflation. The purpose of this study was to confirm the usefulness of IRT with ICG for VATS.
METHODS: Between October 2008 and September 2011, 44 consecutive patients underwent segmentectomy at our institution. In 13 patients, VATS segmentectomy using IRT with ICG was employed. Informed consent was obtained from all patients. Computed tomography was performed to identify the dominant pulmonary artery supplying the target segment. The operations were performed using two ports and one mini-thoracotomy (3-6 cm). The dominant arteries were interrupted, and the intersegmental line was identified using IRT with ICG.
RESULTS: Identification of the intersegmental line was possible in 11 (84.6%) of the 13 patients. The average age was 70 years, and 6 of the patients were male. The mean operation time was 191 min, and the mean bleeding volume was 64 ml. The operation time and bleeding volume were similar to the values in the other 31 patients who underwent thoracotomy (167 min/115 ml, P = 0.212/0.361, respectively). No complications attributable to IRT with ICG were observed.
CONCLUSIONS: VATS segmentectomy using IRT with ICG allows the maintenance of a clear surgical view and identification of the intersegmental line in a high proportion of cases. Therefore, we consider this method to be useful for minimally invasive thoracic surgery.
© The Author 2013. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Entities:  

Keywords:  Indocyanine green; Infrared thoracoscopy; Segmentectomy; Video-assisted thoracoscopic surgery

Mesh:

Substances:

Year:  2013        PMID: 24335267     DOI: 10.1093/ejcts/ezt565

Source DB:  PubMed          Journal:  Eur J Cardiothorac Surg        ISSN: 1010-7940            Impact factor:   4.191


  30 in total

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Review 3.  Applications of indocyanine green based near-infrared fluorescence imaging in thoracic surgery.

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Journal:  J Thorac Dis       Date:  2016-10       Impact factor: 2.895

Review 4.  3D-CT anatomy for VATS segmentectomy.

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Journal:  J Vis Surg       Date:  2017-07-01

Review 5.  Imaging techniques for minimally invasive thoracic surgery-Korea University Guro Hospital experiences.

Authors:  Kook Nam Han; Hyun Koo Kim
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6.  Clarification of the resection line non-intubated segmentectomy using indocyanine green.

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Journal:  Ann Transl Med       Date:  2019-01

Review 7.  Anatomical thoracoscopic segmentectomy for lung cancer.

Authors:  Yoichi Ohtaki; Kimihiro Shimizu
Journal:  Gen Thorac Cardiovasc Surg       Date:  2014-05-03

8.  Uniportal video-assisted thoracic lung segmentectomy with near infrared/indocyanine green intersegmental plane identification.

Authors:  Elisa Meacci; Dania Nachira; Maria Teresa Congedo; Marco Chiappetta; Leonardo Petracca Ciavarella; Stefano Margaritora
Journal:  J Vis Surg       Date:  2018-01-18

9.  Planning and marking for thoracoscopic anatomical segmentectomies.

Authors:  Agathe Seguin-Givelet; Madalina Grigoroiu; Emmanuel Brian; Dominique Gossot
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

10.  A new LigaSure technique for the formation of segmental plane by intravenous indocyanine green fluorescence during thoracoscopic anatomical segmentectomy.

Authors:  Hiroaki Kuroda; Hitoshi Dejima; Tetsuya Mizumo; Noriaki Sakakura; Yukinori Sakao
Journal:  J Thorac Dis       Date:  2016-06       Impact factor: 2.895

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