Utilization of intraoperative indocyanine green fluorescence imaging to identify vascular anatomy in severe pleural adhesions in uniportal video-assisted thoracoscopic surgery: a case report.

Fluorescence imaging case report pleural adhesions uniportal video-assisted thoracoscopic surgery (uniportal VATS) vascular anatomy

Journal

Translational cancer research
ISSN: 2219-6803
Titre abrégé: Transl Cancer Res
Pays: China
ID NLM: 101585958

Informations de publication

Date de publication:
31 Oct 2023
Historique:
received: 26 04 2023
accepted: 15 09 2023
medline: 16 11 2023
pubmed: 16 11 2023
entrez: 16 11 2023
Statut: ppublish

Résumé

Extensive and dense pleural adhesion is a serious challenge in video-assisted thoracoscopic surgery (VATS), in which identification of vessels and their anatomical spaces is difficult. Once critical vessel is damaged while dissecting adhesion in VATS, leading to fatal hemorrhage, the surgeon will have to switch to thoracotomy. This is the first report of a case in which intraoperative indocyanine green (ICG) fluorescence imaging was used to identify critical vessels in severe pleural adhesions in uniportal VATS. The patient (67-year-old male) with an 8-year history of tuberculosis and severe mixed ventilation dysfunction underwent a standardized wedge resection due to chest computed tomography (CT) scan that revealed a 2.6-cm nodule in the right upper lung. Intraoperatively, the superior vena cava and azygos vein were successfully identified and safely dissected using ICG fluorescence imaging in the presence of extensive and dense pleural adhesions. The chest drainage tube was removed on postoperative day (POD) 3, and patient was released from hospital on POD 5. The patient recovered well and no complication was observed in the follow-up. The ICG fluorescence imaging is used to illustrate the vessels and help to dissect them safely, which is a feasible, visualizable, and user-friendly method in severe pleural adhesions in uniportal VATS.

Sections du résumé

Background UNASSIGNED
Extensive and dense pleural adhesion is a serious challenge in video-assisted thoracoscopic surgery (VATS), in which identification of vessels and their anatomical spaces is difficult. Once critical vessel is damaged while dissecting adhesion in VATS, leading to fatal hemorrhage, the surgeon will have to switch to thoracotomy. This is the first report of a case in which intraoperative indocyanine green (ICG) fluorescence imaging was used to identify critical vessels in severe pleural adhesions in uniportal VATS.
Case Description UNASSIGNED
The patient (67-year-old male) with an 8-year history of tuberculosis and severe mixed ventilation dysfunction underwent a standardized wedge resection due to chest computed tomography (CT) scan that revealed a 2.6-cm nodule in the right upper lung. Intraoperatively, the superior vena cava and azygos vein were successfully identified and safely dissected using ICG fluorescence imaging in the presence of extensive and dense pleural adhesions. The chest drainage tube was removed on postoperative day (POD) 3, and patient was released from hospital on POD 5. The patient recovered well and no complication was observed in the follow-up.
Conclusions UNASSIGNED
The ICG fluorescence imaging is used to illustrate the vessels and help to dissect them safely, which is a feasible, visualizable, and user-friendly method in severe pleural adhesions in uniportal VATS.

Identifiants

pubmed: 37969404
doi: 10.21037/tcr-23-729
pii: tcr-12-10-2946
pmc: PMC10643979
doi:

Types de publication

Case Reports

Langues

eng

Pagination

2946-2951

Informations de copyright

2023 Translational Cancer Research. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://tcr.amegroups.com/article/view/10.21037/tcr-23-729/coif). The authors have no conflicts of interest to declare.

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Auteurs

Yongjiang Chen (Y)

Department of Thoracic Surgery, Guangzhou Medical University 1st Affiliated Hospital, Guangzhou, China.

Jiaxi He (J)

Department of Thoracic Surgery, Guangzhou Medical University 1st Affiliated Hospital, Guangzhou, China.

Chudong Wang (C)

Department of Thoracic Surgery, Guangzhou Medical University 1st Affiliated Hospital, Guangzhou, China.

Shuben Li (S)

Department of Thoracic Surgery, Guangzhou Medical University 1st Affiliated Hospital, Guangzhou, China.

Classifications MeSH