Evidence map›Paper›PMID 40535069›Full record

ReviewTranslational lung cancer research2025

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

Fangfang Xie, Chunxi Zhang, Chun Li, Dan Liu, Quncheng Zhang, Chuanyong Mu, Gang Hou, Manxiang Li, Chunli Tang, Fei Xu and 40 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Translational lung cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. [Expert Consensus on Precision Management of Pulmonary Nodules (2026 Version)].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

50 authors.

Fangfang Xie *Department of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chunxi Zhang *Department of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chun Li *Shanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Dan Liu *Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Quncheng Zhang *Department of Respiratory and Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Chuanyong Mu *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Gang HouDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.
Manxiang LiDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Chunli TangChina State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Fei XuDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Hong ChenDepartment of Pulmonary and Critical Care Medicine, Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Zhongbo ChenDepartment of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Medical School, Ningbo University, Ningbo, China.
Ye GuEndoscopy Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Zhenbiao GuanDepartment of Respiration, Changhai Hospital, Naval Military Medical University, Shanghai, China.
Cheng JiDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Haitao LiDepartment of Respiratory and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Wei LiDepartment of Respiratory Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Xuan LiDepartment of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Yishi LiDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hairong LianDepartment of Respiratory Medicine, Affiliated Hospital of Jiangnan University, Wuxi, China.
Jiangrong LiaoDepartment of Respiratory Medicine, Guizhou Aerospace Hospital, Zunyi, China.
Zhuang LuoDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Haifeng OuyangDepartment of Respiratory Diseases, Xi'an International Medical Center, Xi'an, China.
Yongchun ShenDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yiwei ShiDepartment of Respiratory and Critical Care Medicine, Shanxi Medical University Affiliated First Hospital, Taiyuan, China.
Nansheng WanDepartment of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Tao WangDepartment of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hong WangDepartment of Respiratory Medicine, Lanzhou University Second Hospital, Lanzhou, China.
Huaqi WangDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Juan WangDepartment of Respiratory and Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jingxiang WuDepartment of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xuemei WuDepartment of Respiratory Centre, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, China.
Yang XiaDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Kui XiaoDepartment of Respiratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
Wujian XuDepartment of Respiratory and Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Huizhen YangDepartment of Respiratory and Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Junyong YangDepartment of Respiratory Medicine, Xinjiang Chest Hospital, Wulumuqi, China.
Taosheng YeDepartment of Tuberculosis, The Third People's Hospital of Shenzhen, Shenzhen, China.
Xianwei YeDepartment of Pulmonary and Critical Care Medicine, Guizhou Provincial People's Hospital, Guiyang, China.
Pengfei YuDepartment of Respiratory and Critical Care Medicine, Yantai Yuhuangding Hospital, Affiliated with the Medical College of Qingdao, Yantai, China.
Nan ZhangDepartment of Respiratory Medicine, Emergency General Hospital, Beijing, China.
Peng ZhangPulmonary Intervention Department, Anhui Chest Hospital, Hefei, China.
Qi ZhaoDepartment of Respiratory Medicine, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.
Xiaoxuan ZhengDepartment of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jun ZouDepartment of Respiratory and Critical Care Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Enguo ChenDepartment of Pulmonary and Critical Care Medicine, Regional Medical Center for National Institute of Respiratory Disease, Sir Run Run Shaw Hospital of Zhejiang University, Hangzhou, China.
Hao ZhangDepartment of Thoracic Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.ORCID https://orcid.org/0000-0002-2926-737X
Jiayuan SunDepartment of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0003-3158-3256
Professional Committee on Interventional Pulmonology of China Association for Promotion of Health Science and Technology
Expert Group on Technology of Shape-sensing Robotic-assisted Bronchoscopy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Delphiperipheral pulmonary lesion (PPL)robotic-assisted bronchoscopy (RAB)Shape-sensing

Identifiers

PMID40535069
PMCPMC12170130

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.