当前位置: X-MOL 学术Asia Pac. J. Clin. Oncol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Real-time image-guided indocyanine green fluorescence dual-visualization technique to measure the intraoperative resection margin during thoracoscopic segmentectomy
Asia-Pacific Journal of Clinical Oncology ( IF 1.9 ) Pub Date : 2022-05-22 , DOI: 10.1111/ajco.13771
Yungang Sun 1, 2, 3 , Qiang Zhang 1, 2, 3 , Zhao Wang 1, 2, 3 , Feng Shao 1, 2, 3
Affiliation  

The primary goal of thoracoscopic segmentectomy is the complete resection of early pulmonary carcinoma while sparing as much of the normal pulmonary parenchyma as possible, but an obvious trade-off exists between the pulmonary parenchymal preservation and an adequate resection margin. In this clinical trial, we explored a real-time image-guided indocyanine green (ICG) fluorescence dual-visualization technique to confirm the resection margin by improving the intraoperative localization of the pulmonary nodule and identification of the intersegmental boundary line (IBL).

中文翻译:

实时图像引导吲哚菁绿荧光双可视化技术测量胸腔镜肺段切除术中切缘

胸腔镜肺段切除术的主要目标是完全切除早期肺癌,同时尽可能多地保留正常肺实质,但在保留肺实质和充分切除边缘之间存在明显的权衡。在这项临床试验中,我们探索了一种实时图像引导吲哚菁绿 (ICG) 荧光双可视化技术,通过改善肺结节的术中定位和节段间边界线 (IBL) 的识别来确认切除边缘。
更新日期:2022-05-22
down
wechat
bug