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A Study of Robot-Assisted Bronchoscopy in Chinese Participants With Lung Lesions
A Real-World Study to Evaluate the Effectiveness and Safety of Robot-Assisted Bronchoscopy in Chinese Patients With Lung Lesions
1 other identifier
interventional
N/A
0 countries
N/A
Brief Summary
Robot-assisted bronchoscopy biopsy procedure will be conducted for all eligible subjects under general anesthesia status by trained investigators in hospital.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
Started Jul 2022
Typical duration for not_applicable
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 16, 2022
CompletedFirst Posted
Study publicly available on registry
June 21, 2022
CompletedStudy Start
First participant enrolled
July 12, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 15, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
September 30, 2024
CompletedFebruary 3, 2025
January 1, 2025
1.2 years
June 16, 2022
January 31, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
Navigation Success Rate
Navigation success rate is defined as the percentage of successful navigation to the targeted lung lesion (lesion localization) as confirmed by radial probe endobronchial ultrasound (R-EBUS) imaging through Monarch Platform during bronchoscopy procedure.
Intraoperative
Secondary Outcomes (7)
Time to R-EBUS Confirmation
Intraoperative
Time to the Tissue Acquisition
Intraoperative
Total Procedure Time
Intraoperative
Number of Conversion to Conventional Bronchoscopic Procedure
Intraoperative
Number of Participants with Pneumothorax Requiring Intervention
Up to 7 days post procedure
- +2 more secondary outcomes
Study Arms (1)
Robot-assisted Bronchoscopy
OTHERParticipants with 8-50 millimeters (mm) diameter size lung lesions identified on computed tomography (CT) scan will be enrolled for robotic assisted bronchoscopy (Monarch Platform) biopsy procedure.
Interventions
Robotic assisted bronchoscopy biopsy procedures will be performed using the Monarch platform.
Eligibility Criteria
You may qualify if:
- Capable and willing to give informed consent
- Acceptable candidate for an elective, non-emergency bronchoscopic procedure
- Lung lesions suspected of malignancy, between 8-50 millimeters (mm) in diameter size identified on thin slice (0.9-1.25 mm) computed tomography (CT) scan within 14 days, requiring bronchoscopic biopsy for diagnosis
- No more than 1 lung lesion will be targeted for robot-assisted bronchoscopy biopsy
You may not qualify if:
- Pre-Operative
- Participants with pure ground-glass opacity lesions on pre-procedure chest CT
- Participants with the target lesion having endobronchial involvement seen on chest CT
- Medical contraindications to bronchoscopy and/or anesthesia as assessed by the investigator (such as severe cardiac arrhythmias, severe hypertension, severe cardiopulmonary dysfunction, myocardial infarction, unstable angina pectoris et cetera \[etc\]) precluding safe bronchoscopic procedure
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Related Publications (13)
Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018 Nov;68(6):394-424. doi: 10.3322/caac.21492. Epub 2018 Sep 12.
PMID: 30207593BACKGROUNDChen W, Zheng R, Zhang S, Zhao P, Zeng H, Zou X. Report of cancer incidence and mortality in China, 2010. Ann Transl Med. 2014 Jul;2(7):61. doi: 10.3978/j.issn.2305-5839.2014.04.05.
PMID: 25333036BACKGROUNDZeng H, Chen W, Zheng R, Zhang S, Ji JS, Zou X, Xia C, Sun K, Yang Z, Li H, Wang N, Han R, Liu S, Li H, Mu H, He Y, Xu Y, Fu Z, Zhou Y, Jiang J, Yang Y, Chen J, Wei K, Fan D, Wang J, Fu F, Zhao D, Song G, Chen J, Jiang C, Zhou X, Gu X, Jin F, Li Q, Li Y, Wu T, Yan C, Dong J, Hua Z, Baade P, Bray F, Jemal A, Yu XQ, He J. Changing cancer survival in China during 2003-15: a pooled analysis of 17 population-based cancer registries. Lancet Glob Health. 2018 May;6(5):e555-e567. doi: 10.1016/S2214-109X(18)30127-X.
PMID: 29653628BACKGROUNDCancer Stat Facts: Lung and Bronchus Cancer." National Cancer Institute, https://seer.cancer.gov/statfacts/html/lungb.html
BACKGROUNDKramer BS, Berg CD, Aberle DR, Prorok PC. Lung cancer screening with low-dose helical CT: results from the National Lung Screening Trial (NLST). J Med Screen. 2011;18(3):109-11. doi: 10.1258/jms.2011.011055. No abstract available.
PMID: 22045816BACKGROUNDWood DE, Kazerooni E, Baum SL, Dransfield MT, Eapen GA, Ettinger DS, Hou L, Jackman DM, Klippenstein D, Kumar R, Lackner RP, Leard LE, Leung AN, Makani SS, Massion PP, Meyers BF, Otterson GA, Peairs K, Pipavath S, Pratt-Pozo C, Reddy C, Reid ME, Rotter AJ, Sachs PB, Schabath MB, Sequist LV, Tong BC, Travis WD, Yang SC, Gregory KM, Hughes M; National comprehension cancer network. Lung cancer screening, version 1.2015: featured updates to the NCCN guidelines. J Natl Compr Canc Netw. 2015 Jan;13(1):23-34; quiz 34. doi: 10.6004/jnccn.2015.0006.
PMID: 25583767BACKGROUNDZhou Q, Fan Y, Wang Y, Qiao Y, Wang G, Huang Y, Wang X, Wu N, Zhang G, Zheng X, Bu H, Li Y, Wei S, Chen L, Hu C, Shi Y, Sun Y. [China National Lung Cancer Screening Guideline with Low-dose Computed Tomography (2018 version)]. Zhongguo Fei Ai Za Zhi. 2018 Feb 20;21(2):67-75. doi: 10.3779/j.issn.1009-3419.2018.02.01. Chinese.
PMID: 29526173BACKGROUNDMcCarty R, Plunkett LM. Binding sites for atrial natriuretic factor (ANF) in brain: alterations in Brattleboro rats. Brain Res Bull. 1986 Dec;17(6):767-72. doi: 10.1016/0361-9230(86)90088-2.
PMID: 2948617BACKGROUNDChen AC, Pastis NJ, Machuzak MS, Gildea TR, Simoff MJ, Gillespie CT, Mahajan AK, Oh SS, Silvestri GA. Accuracy of a Robotic Endoscopic System in Cadaver Models with Simulated Tumor Targets: ACCESS Study. Respiration. 2020;99(1):56-61. doi: 10.1159/000504181. Epub 2019 Dec 5.
PMID: 31805570BACKGROUNDRojas-Solano JR, Ugalde-Gamboa L, Machuzak M. Robotic Bronchoscopy for Diagnosis of Suspected Lung Cancer: A Feasibility Study. J Bronchology Interv Pulmonol. 2018 Jul;25(3):168-175. doi: 10.1097/LBR.0000000000000499.
PMID: 29762461BACKGROUNDChaddha U, Kovacs SP, Manley C, Hogarth DK, Cumbo-Nacheli G, Bhavani SV, Kumar R, Shende M, Egan JP 3rd, Murgu S. Robot-assisted bronchoscopy for pulmonary lesion diagnosis: results from the initial multicenter experience. BMC Pulm Med. 2019 Dec 11;19(1):243. doi: 10.1186/s12890-019-1010-8.
PMID: 31829148BACKGROUNDChen AC, Pastis NJ Jr, Mahajan AK, Khandhar SJ, Simoff MJ, Machuzak MS, Cicenia J, Gildea TR, Silvestri GA. Robotic Bronchoscopy for Peripheral Pulmonary Lesions: A Multicenter Pilot and Feasibility Study (BENEFIT). Chest. 2021 Feb;159(2):845-852. doi: 10.1016/j.chest.2020.08.2047. Epub 2020 Aug 19.
PMID: 32822675BACKGROUNDMurgu S, Chen AC, Gilbert CR, Sterman DH, Pederson D, Rafeq S, Laxmanan B, Schwiers ML, Connelly J, Benz HL, Yasufuku K, Silvestri GA; TARGET Investigators. A Prospective, Multicenter Evaluation of Safety and Diagnostic Outcomes With Robotic-Assisted Bronchoscopy: Results of the Transbronchial Biopsy Assisted by Robot Guidance in the Evaluation of Tumors of the Lung (TARGET) Trial. Chest. 2025 Aug;168(2):539-555. doi: 10.1016/j.chest.2025.04.022. Epub 2025 Apr 27.
PMID: 40300665BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Auris Health, Inc. Clinical Trial
Auris Health, Inc.
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 16, 2022
First Posted
June 21, 2022
Study Start
July 12, 2022
Primary Completion
September 15, 2023
Study Completion
September 30, 2024
Last Updated
February 3, 2025
Record last verified: 2025-01
Data Sharing
- IPD Sharing
- Will share
Johnson \& Johnson Medical Device Companies have an agreement with the Yale Open Data Access (YODA) Project to serve as the independent review panel for evaluation of requests for clinical study reports and participant level data from investigators and physicians for scientific research that will advance medical knowledge and public health. Requests for access to the study data can be submitted through the YODA Project site at http://yoda.yale.edu