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《形状感知机器人辅助支气管镜检查(ssRAB)在周围型肺部病变管理中的中国专家共识》

Chinese expert consensus on shape-sensing robotic-assisted bronchoscopy (ssRAB) in the management of peripheral pulmonary lesions.

作者信息

Xie Fangfang, Zhang Chunxi, Li Chun, Liu Dan, Zhang Quncheng, Mu Chuanyong, Hou Gang, Li Manxiang, Tang Chunli, Xu Fei, Chen Hong, Chen Zhongbo, Gu Ye, Guan Zhenbiao, Ji Cheng, Li Haitao, Li Wei, Li Xuan, Li Yishi, Lian Hairong, Liao Jiangrong, Luo Zhuang, Ouyang Haifeng, Shen Yongchun, Shi Yiwei, Wan Nansheng, Wang Tao, Wang Hong, Wang Huaqi, Wang Juan, Wu Jingxiang, Wu Xuemei, Xia Yang, Xiao Kui, Xu Wujian, Yang Huizhen, Yang Junyong, Ye Taosheng, Ye Xianwei, Yu Pengfei, Zhang Nan, Zhang Peng, Zhao Qi, Zheng Xiaoxuan, Zou Jun, Chen Enguo, Zhang Hao, Sun Jiayuan

机构信息

Department of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

出版信息

Transl Lung Cancer Res. 2025 May 30;14(5):1500-1515. doi: 10.21037/tlcr-2025-400. Epub 2025 May 28.

Abstract

BACKGROUND

Shape-sensing robotic-assisted bronchoscopy (ssRAB) is a new bronchoscopy technology that utilizes optic fibers to provide accurate position information and robotic-control to deliver improved maneuverability. This technology has been used in the United States since 2019 and investigated in China since 2021. In order to provide a standard practice and make the best use of this technology for managing peripheral pulmonary lesions (PPLs), experts developed the consensus.

METHODS

This consensus was developed using Delphi method. A panel comprising nine experts formulated eight consensus statements after a thorough review of clinical evidence and practical experience. During the second phase, a questionnaire was distributed to collect feedback on these statements from an external panel of 39 physicians. The percentage of responses and the percentage of agreement on each statement were calculated. The consensus was defined as achieved with an agreement percentage threshold of 80% or above.

RESULTS

The eight consensus statements formulated in phase 1 included recommendations for path planning, anesthesia, the use of radial endobronchial ultrasound (EBUS), the use of fluoroscopy and/or cone-beam computed tomography (CBCT) with ssRAB, solving computed tomography (CT)-to-body divergence, the use of sampling tools with ssRAB, cloud biopsy, and the use of rapid on-site evaluation (ROSE) with ssRAB. All panel physicians completed the questionnaire in phase 2. All the statements achieved positive consensus, with six receiving 100% agreement and two reaching 97.4% agreement.

CONCLUSIONS

The document establishes a consensus on recommended practices for optimal utilization of ssRAB technology in the management of PPLs. The guidelines will be updated as new evidence emerges or additional ssRAB platforms are introduced into practice.

摘要

背景

形状感知机器人辅助支气管镜检查(ssRAB)是一种新型支气管镜检查技术,它利用光纤提供精确的位置信息,并通过机器人控制来提高可操作性。自2019年以来,这项技术已在美国使用,自2021年起在中国进行研究。为了提供标准操作规范,并充分利用该技术来管理周围型肺部病变(PPL),专家们制定了本共识。

方法

本共识采用德尔菲法制定。一个由九名专家组成的小组在全面审查临床证据和实践经验后,制定了八项共识声明。在第二阶段,发放了一份问卷,以收集来自39名医生组成的外部小组对这些声明的反馈。计算了每项声明的回复率和同意率。当同意率阈值达到80%或以上时,即达成共识。

结果

第一阶段制定的八项共识声明包括路径规划、麻醉、径向支气管内超声(EBUS)的使用、ssRAB联合荧光透视和/或锥形束计算机断层扫描(CBCT)、解决计算机断层扫描(CT)与身体的偏差、ssRAB联合采样工具的使用、云活检以及ssRAB联合快速现场评估(ROSE)的建议。所有参与小组的医生都完成了第二阶段的问卷。所有声明均达成积极共识,六项声明获得100%的同意,两项声明的同意率达到97.4%。

结论

本文件就ssRAB技术在PPL管理中的最佳应用推荐实践达成了共识。随着新证据的出现或更多ssRAB平台投入实践,这些指南将不断更新。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7b6/12170130/35af9c4a8082/tlcr-14-05-1500-f1.jpg

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