Clinical trial NCT06654271: Robotic Versus Electromagnetic Bronchoscopy for Pulmonary LesIon AssessmeNT Using Integrated Intraprocedural Imaging
Official title: Robotic Versus Electromagnetic Bronchoscopy for Pulmonary LesIon AssessmeNT Using Integrated Intraprocedural Imaging: the RELIANT 2 Trial
Study type: INTERVENTIONAL
Overall status: RECRUITING
Phase: NA
Conditions: Peripheral Pulmonary Lesion
Lung Nodule, Solitary
Keywords: Electromagnetic navigation bronchoscopy
Robotic assisted bronchoscopy
Cone beam computed tomography
Diagnostic yield
Lead sponsor: Vanderbilt University Medical Center
Sponsor class: OTHER
First posted: 2024-10-23
Enrollment: 440
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: RANDOMIZED
Intervention model: PARALLEL
Intervention model description: This study will be performed as a pragmatic, cluster randomized controlled trial with parallel group assignment.
Primary purpose: DIAGNOSTIC

Brief summary: RELIANT 2 is a pragmatic randomized controlled trial. The goal of this study is to compare the diagnostic yield of robotic assisted bronchoscopy with integrated cone beam computed tomography to that of electromagnetic navigation bronchoscopy with integrated digital tomosynthesis in patients undergoing bronchoscopy to biopsy a pulmonary lesion.

Detailed description: Pulmonary nodules are an incredibly common finding, with millions incidentally detected in the US every year. Biopsy is often needed for diagnosis. There are several technologies currently available to biopsy these lesions, including electromagnetic navigational bronchoscopy (ENB) and robotic assisted bronchoscopy (RAB). The latter is used clinically with either conventional fluoroscopy or with cone beam computed tomography (CBCT) guidance, which provides real time 3-dimensional images during the procedure. Recently, CBCT has been integrated with RAB, which allows for automatic update of the lesion location. This update is believed to increase the diagnostic yield of the procedure. Given this new upgrade, we designed this pragmatic, randomized controlled study to test the hypothesis that the diagnostic yield of RAB with integrated CBCT is superior to ENB with integrated digital tomosynthesis in patients undergoing bronchoscopic biopsy of a peripheral pulmonary lesion. Patients undergoing advanced diagnostic bronchoscopy to biopsy a lung lesion will be assigned to either the RAB or ENB based on cluster randomization. Randomization will be revealed each morning before procedures are started. Any advanced diagnostic bronchoscopy scheduled on that day will be performed with the device (RAB or ENB) allocated to that room on that day. All decisions regarding procedure tools, techniques, and patient management will be per usual care and at the discretion of the treating physician.

Eligibility criteria: Inclusion Criteria:

* ≥ 18 years of age at time of bronchoscopy
* Scheduled for navigational bronchoscopy for the evaluation of a pulmonary lesion

Exclusion Criteria:

* Patient declines to participate
* Patients enrolled in another trial which requires the use of one specific navigational platform

Primary outcomes:
measure: The primary endpoint is the diagnostic yield, defined as the proportion of procedures that result in acquisition of lesional tissue.
timeFrame: 7 days post-procedure
Secondary outcomes:
measure: Duration of bronchoscopy (in minutes)
timeFrame: Duration of procedure, approximately 60 minutes
Other outcomes:
Locations:
city: Chicago
country: United States
facility: Rush University Medical Center
state: Illinois
city: Baltimore
country: United States
facility: Johns Hopkins University
state: Maryland
city: Nashville
country: United States
facility: Vanderbilt University Medical Center
state: Tennessee
city: Nashville
country: United States
facility: Vanderbilt University Medical Center
state: Tennessee
Study officials:
affiliation: Vanderbilt University Medical Center
name: Rafael Paez, MD
role: PRINCIPAL_INVESTIGATOR
References:
citation: Zhang C, Xie F, Li R, Cui N, Herth FJF, Sun J. Robotic-assisted bronchoscopy for the diagnosis of peripheral pulmonary lesions: A systematic review and meta-analysis. Thorac Cancer. 2024 Mar;15(7):505-512. doi: 10.1111/1759-7714.15229. Epub 2024 Jan 29.
citation: Kalchiem-Dekel O, Connolly JG, Lin IH, Husta BC, Adusumilli PS, Beattie JA, Buonocore DJ, Dycoco J, Fuentes P, Jones DR, Lee RP, Park BJ, Rocco G, Chawla M, Bott MJ. Shape-Sensing Robotic-Assisted Bronchoscopy in the Diagnosis of Pulmonary Parenchymal Lesions. Chest. 2022 Feb;161(2):572-582. doi: 10.1016/j.chest.2021.07.2169. Epub 2021 Aug 9.
citation: Low SW, Lentz RJ, Chen H, Katsis J, Aboudara MC, Whatley S, Paez R, Rickman OB, Maldonado F. Shape-Sensing Robotic-Assisted Bronchoscopy vs Digital Tomosynthesis-Corrected Electromagnetic Navigation Bronchoscopy: A Comparative Cohort Study of Diagnostic Performance. Chest. 2023 Apr;163(4):977-984. doi: 10.1016/j.chest.2022.10.019. Epub 2022 Oct 29.
citation: Katsis J, Roller L, Aboudara M, Pannu J, Chen H, Johnson J, Lentz RJ, Rickman O, Maldonado F. Diagnostic Yield of Digital Tomosynthesis-assisted Navigational Bronchoscopy for Indeterminate Lung Nodules. J Bronchology Interv Pulmonol. 2021 Oct 1;28(4):255-261. doi: 10.1097/LBR.0000000000000766.
citation: Gould MK, Tang T, Liu IL, Lee J, Zheng C, Danforth KN, Kosco AE, Di Fiore JL, Suh DE. Recent Trends in the Identification of Incidental Pulmonary Nodules. Am J Respir Crit Care Med. 2015 Nov 15;192(10):1208-14. doi: 10.1164/rccm.201505-0990OC.
citation: Nadig TR, Thomas N, Nietert PJ, Lozier J, Tanner NT, Wang Memoli JS, Pastis NJ, Silvestri GA. Guided Bronchoscopy for the Evaluation of Pulmonary Lesions: An Updated Meta-analysis. Chest. 2023 Jun;163(6):1589-1598. doi: 10.1016/j.chest.2022.12.044. Epub 2023 Jan 11.
citation: Criner GJ, Eberhardt R, Fernandez-Bussy S, Gompelmann D, Maldonado F, Patel N, Shah PL, Slebos DJ, Valipour A, Wahidi MM, Weir M, Herth FJ. Interventional Bronchoscopy. Am J Respir Crit Care Med. 2020 Jul 1;202(1):29-50. doi: 10.1164/rccm.201907-1292SO.
citation: Agrawal A, Hogarth DK, Murgu S. Robotic bronchoscopy for pulmonary lesions: a review of existing technologies and clinical data. J Thorac Dis. 2020 Jun;12(6):3279-3286. doi: 10.21037/jtd.2020.03.35.
citation: Aboudara M, Roller L, Rickman O, Lentz RJ, Pannu J, Chen H, Maldonado F. Improved diagnostic yield for lung nodules with digital tomosynthesis-corrected navigational bronchoscopy: Initial experience with a novel adjunct. Respirology. 2020 Feb;25(2):206-213. doi: 10.1111/resp.13609. Epub 2019 Jul 2.
citation: Styrvoky K, Schwalk A, Pham D, Madsen K, Chiu HT, Abu-Hijleh M. Radiation dose of cone beam CT combined with shape sensing robotic assisted bronchoscopy for the evaluation of pulmonary lesions: an observational single center study. J Thorac Dis. 2023 Sep 28;15(9):4836-4848. doi: 10.21037/jtd-23-587. Epub 2023 Aug 30.