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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.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12170130 | PMC |
http://dx.doi.org/10.21037/tlcr-2025-400 | DOI Listing |
J Bronchology Interv Pulmonol
October 2025
Section of Interventional Pulmonology, Bronchoscopy, and Pleural Diseases, Division of Pulmonary, Critical Care, & Sleep Medicine. UC San Diego Health, La Jolla, CA.
Background: The optimal airway registration strategy for shape-sensing robotic-assisted bronchoscopy (ssRAB) is uncertain. This study explored if "partial" registration improves efficiency of ssRAB while maintaining procedure performance, and investigated other factors impacting procedure duration.
Methods: A retrospective analysis of prospectively collected data of 201 consecutive ssRABs.
Introduction: For malignant lung tumor patients who are poor surgical candidates, transbronchial cryoablation is a promising alternative treatment method and is safer than percutaneous cryoablation. This case report presents the initial clinical experience of shape-sensing robotic-assisted bronchoscopy (ssRAB) combined with cone-beam computed tomography (CBCT)-guided cryoablation for malignant lung tumor patients.
Case Presentation: Transbronchial cryoablation was performed in six patients.
J Pediatr Surg
August 2025
Department of Pediatric Surgery, Ann & Robert H. Lurie Children's Hospital, Chicago, IL, USA; Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. Electronic address:
Purpose: Pulmonary nodule localization is essential for many procedures in children with cancer. Shape-sensing robotic-assisted bronchoscopy (ssRAB) is a preferred modality of nodule biopsy and localization in adult thoracic surgery, but its utility in pediatric surgery is unknown. We examined the feasibility of ssRAB including bronchial tree mapping and nodule localization in children.
View Article and Find Full Text PDFLung Cancer
September 2025
Weill Cornell Medical College, New York, NY, USA; Thoracic Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Background: The identification of high-grade patterns and mucinous features of invasive primary lung adenocarcinoma on biopsy specimens can have implications on therapeutic decisions across all stages of disease. Shape sensing robotic-assisted bronchoscopy (ssRAB) is an emerging modality for the concomitant diagnosis and staging of lung cancer. We evaluated the performance of ssRAB for adenocarcinoma pattern identification, and particularly high-grade patterns, as well as the histopathologic concordance between biopsy and surgical resection specimens.
View Article and Find Full Text PDFJ Thorac Dis
June 2025
Department of Respiratory Endoscopy, Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Electromagnetic navigation bronchoscopy (ENB) and shape-sensing robotic-assisted bronchoscopy (ssRAB) are the two dominant bronchoscopic technologies for the diagnosis of peripheral pulmonary nodules (PPNs). However, data directly comparing ENB and ssRAB are limited. We designed a randomized controlled trial to compare the diagnostic performance of these two technologies.
View Article and Find Full Text PDF