A novel localization device for small pulmonary nodules in thoracoscopic wedge resection with adequate margin distance: a retrospective study

一种用于胸腔镜楔形切除术中定位小肺结节并确保足够切缘距离的新型定位装置:一项回顾性研究

阅读:1

Abstract

BACKGROUND: Thoracoscopic wedge resection of small pulmonary nodules (SPNs) is a common surgical procedure. Adequate surgical margin distance is challenging and key to successful resection for malignant nodules. The aim of this study was to evaluate the feasibility of a novel localization needle in wedge resection for SPNs with adequate margin distance. METHODS: A retrospective review of needle localization cases from November 2021 to August 2022 was performed, in which 58 patients who underwent modified computed tomography (CT)-guided needle localization following thoracoscopic wedge resection were enrolled. Nodules were localized by placing a novel device characterized by a 4-hook anchor and a tricolored suture with a scale. The clinical characteristics were collected to evaluate the feasibility of the procedure in obtaining a sufficient margin distance. RESULTS: A total of 68 SPNs were collected, and the median size of SPNs was 10.0 mm with a median depth of 18.9 mm. Needle localization was successful in 65 nodules (95.6%), and all nodules were completely removed. The median resection margin distance was 14 mm (range, 8-26 mm). There were 62 (91.2%) SPNs with a margin distance to tumor size ratio ≥1, 38 (92.7%) SPNs with a depth <20 mm, and 24 (88.9%) SPNs with a depth ≥20 mm, respectively. Regardless of the nodule depth, the median resection margin distances were both 14 mm. CONCLUSIONS: This study indicated that modified preoperative CT-guided 4-hook needle with scaled suture localization is a safe, efficient strategy for the wedge resection of SPNs via thoracoscopic surgery. Furthermore, it was considerably advantageous for obtaining adequate margins distance, especially for deep nodules.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。