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| Name | Class |
|---|---|
| Rush University Medical Center | OTHER |
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This is an investigator-initiated, multicenter, non inferiority, cluster randomized controlled trial. The primary objective is to compare the diagnostic yield of the electromagnetic robotic assisted bronchoscopy with digital tomosynthesis (Galaxy system by Noah Medical) to the shape sensing robotic assisted bronchoscopy with integrated cone beam CT (Ionâ„¢ Endoluminal System by Intuitive) in patients undergoing bronchoscopy for peripheral pulmonary lesion (PPL) evaluation.
Millions of nodules are detected every year in the United States. The majority are benign, but some represent early lung cancer and biopsy is often needed to establish the diagnosis. Advanced imaging and navigational guidance systems are routinely used to sample these small peripheral lesions bronchoscopically.
A variety of navigational technologies are currently available, including non-robotic electromagnetic navigational bronchoscopy (ENB) and robotic assisted bronchoscopy (RAB), both cleared by the FDA via the 510(k) pathway. Since market release in 2019, few studies, mostly retrospective and observational studies have reported on the diagnostic yield of RAB which is estimated to be approximately 75-80%. Most of these procedures were performed using conventional fluoroscopy which provides a two-dimensional image to assist with location of the bronchoscope within the chest and with biopsy. However, pulmonary nodules are frequently not visible with conventional fluoroscopy, particularly subsolid or ground glass nodules, which may contribute to non-diagnostic procedures. Thus, the combination of RAB with CBCT, a three-dimensional cross-sectional imaging modality, has been widely adopted by the interventional pulmonology and advanced bronchoscopy community. Cone beam CT produces a near real-time intraprocedural CT image that allows the proceduralist to reposition the robotic bronchoscope based on the location of the bronchoscope relative to that of the nodule and minimize CT to body divergence (CT2BD). Preliminary data suggest that addition of CBCT improves the diagnostic yield. One of the RAB platforms (ssRAB by Intuitive) is now integrated with CBCT, which allows the proceduralist to update the position of the nodule in the navigation system itself. This upgrade is believed to increase the diagnostic yield of ssRAB.
The Galaxy System (Noah Medical) is the latest robotic bronchoscopy platform that integrates its digital tomosynthesis (DT) technology with electromagnetic navigation (EMN) robotic platform with continuous vision. DT is an imaging modality whereby a series of fluoroscopic digital images taken during a partial rotational sweep of a C-arm are superimposed and computationally processed to provide a final three-dimensional image in which the lesion of interest can be far more readily seen than by standard fluoroscopic screening whilst minimizing radiation exposure compared, for example, to CBCT. This new generation Image-Integrated Robotic Assisted Bronchoscopy (ii-RAB) utilizes the advantages of the stability of a robotic bronchoscopy and mitigates CT2BD with imaging confirmation that demonstrates the biopsy tool inside the lesion.
The current assumed pros of using the Galaxy system compared to ssRAB with integrated CBCT is that the procedure may be shorter in time with less use of radiation to the patient and staffs. While the potential downside of the use of DT only without CBCT is that it may be less accurate.
As there are no randomized or retrospective comparative data comparing the two robotic bronchoscopy platforms despite being commercially available and widely utilized, the investigators propose to compare the diagnostic yield of the newest electromagnetic RAB (E-RAB) with integrated digital tomosynthesis (DT) to that of ssRAB with integrated CBCT. Cleveland Clinic and RUSH University currently utilizes both E-RAB with DT and ssRAB with integrated CBCT and they are used interchangeably. Patients are typically assigned arbitrarily to procedures using either platform based on operating room availability.
Thus, the investigator proposes a randomized controlled study to test the hypothesis that the diagnostic yield of E-RAB with DT is not inferior to ssRAB with integrated CBCT in patients undergoing bronchoscopy to biopsy a PPL.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Ionâ„¢ Endoluminal System (shape sensing RAB) | Active Comparator | Providers will utilize the Ionâ„¢ Endoluminal System (shape sensing RAB) to perform a diagnostic bronchoscopy procedure. |
|
| Galaxy by Noah (EMN-RAB) | Active Comparator | Providers will utilize the Galaxy by Noah (EMN-RAB) to perform a diagnostic bronchoscopy procedure. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Bronchoscopy for peripheral pulmonary lesion biopsy | Procedure | Participants are scheduled to undergo a bronchoscopy as part of their routine standard of care. Participants will be randomly assigned to one of our two standards of care bronchoscopy robotic platforms (Ion shape sensing robot or Galaxy by Noah electromagnetic robot). |
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic yield | Diagnostic yield is defined as the proportion of procedures that results in acquisition of lesional tissue. Lesional tissue is defined by the presence of histopathological findings that readily explain the presence of a pulmonary lesion. The following common histopathological findings are pre-specified as lesional: i. Malignant ii. "Specific benign" findings accounting for the presence of a PPL
| 7 days post enrollment |
| Measure | Description | Time Frame |
|---|---|---|
| Radiation Exposure During Study Bronchoscopy | Radiation exposure is defined as the radiation dose delivered to the patient during the study bronchoscopy, recorded as the dose area product (mGy·cm²). Only radiation directly associated with the index bronchoscopy procedure will be included. | During the bronchoscopy procedure |
| Measure | Description | Time Frame |
|---|---|---|
| Duration of Bronchoscopy | Duration of bronchoscopy is defined as the time (in minutes) from insertion of the robotic catheter into the endotracheal tube to removal of the catheter from the endotracheal tube after completion of the procedure. | During the bronchoscopy procedure |
| Need for Additional Diagnostic Procedures |
Inclusion Criteria:
Exclusion Criteria:
1. Inability to provide informed consent
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| See-Wei Low, MD | Contact | 216 445-0570 | LOWS5@ccf.org | |
| Yvonne Meli, RN | Contact | 216 445-4215 | MELIY@ccf.org |
| Name | Affiliation | Role |
|---|---|---|
| See-Wei Low, MD | The Cleveland Clinic | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Rush University Medical Center | Chicago | Illinois | 60612 | United States | ||
| The Cleveland Clinic |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 26367186 | Background | Ost DE, Ernst A, Lei X, Kovitz KL, Benzaquen S, Diaz-Mendoza J, Greenhill S, Toth J, Feller-Kopman D, Puchalski J, Baram D, Karunakara R, Jimenez CA, Filner JJ, Morice RC, Eapen GA, Michaud GC, Estrada-Y-Martin RM, Rafeq S, Grosu HB, Ray C, Gilbert CR, Yarmus LB, Simoff M; AQuIRE Bronchoscopy Registry. Diagnostic Yield and Complications of Bronchoscopy for Peripheral Lung Lesions. Results of the AQuIRE Registry. Am J Respir Crit Care Med. 2016 Jan 1;193(1):68-77. doi: 10.1164/rccm.201507-1332OC. | |
| 18929686 |
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Individual participant data that underlie the results reported will be made available (including data dictionaries) after de-identification.
The data will become available 3 months following publication of outcomes and will remain available for at least 5 years.
Data will be made available to researchers who provide a methodologically sound proposal that has been approved by the Cleveland Clinic Institutional Review Board and the study executive committee.
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| ID | Term |
|---|---|
| D001999 | Bronchoscopy |
| ID | Term |
|---|---|
| D003948 | Diagnostic Techniques, Respiratory System |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
| D004724 | Endoscopy |
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Cluster randomization will be used for this study using bronchoscopy room-days as clusters, given the impracticability of individual-level randomization. Clusters will be randomized to either ssRAB with integrated CBCT or E-RAB with integrated DT. Randomization will be completed in permuted blocks of variable size stratified by room availability.
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It is not possible to blind the bronchoscopist or the patient to the platform used for each procedure, as they are both large distinctive-appearing pieces of equipment.
However, thoracic pathologists (the outcomes assessor) and bronchoscopy schedulers (the care provider team) will remain blinded, such that allocations should be unable to influence their histopathological interpretation or scheduling of procedures in a given bronchoscopy suite, respectively.
|
This outcome is defined as any additional diagnostic procedure performed to evaluate the lung lesion of interest after the index bronchoscopy. Procedures include repeat bronchoscopy, transthoracic needle biopsy, or surgical lung biopsy. |
| 12 months |
| Diagnostic Accuracy at 12 Months Post-Bronchoscopy | Diagnostic accuracy is defined as the ability of the index bronchoscopy procedure to correctly identify the pathology of the target lung nodule, as confirmed by clinical follow-up, additional diagnostic procedures, or surgical pathology within 12 months after the biopsy. Both malignant and specific benign diagnoses will be included in the assessment of accuracy. | 12 months |
| Specimen Suitability for Molecular Analysis | This outcome assesses whether tissue obtained during the index bronchoscopy procedure is adequate for molecular analysis when clinically indicated. Specimen suitability will be determined based on quantity, quality, and integrity of the tissue for intended molecular testing. | Baseline and 1 year |
| Cleveland |
| Ohio |
| 44195 |
| United States |
|
| Background |
| Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377-81. doi: 10.1016/j.jbi.2008.08.010. Epub 2008 Sep 30. |
| 38394646 | Background | Gonzalez AV, Silvestri GA, Korevaar DA, Gesthalter YB, Almeida ND, Chen A, Gilbert CR, Illei PB, Navani N, Pasquinelli MM, Pastis NJ, Sears CR, Shojaee S, Solomon SB, Steinfort DP, Maldonado F, Rivera MP, Yarmus LB. Assessment of Advanced Diagnostic Bronchoscopy Outcomes for Peripheral Lung Lesions: A Delphi Consensus Definition of Diagnostic Yield and Recommendations for Patient-centered Study Designs. An Official American Thoracic Society/American College of Chest Physicians Research Statement. Am J Respir Crit Care Med. 2024 Mar 15;209(6):634-646. doi: 10.1164/rccm.202401-0192ST. |
| 40460390 | Background | Paez R, Lentz RJ, Duke JD, Siemann JK, Salmon C, Dahlberg GJ, Ratwani AP, Casey JD, Chen H, Chen SC, Shojaee S, Rickman OB, Gatto CL, Rice TW, Maldonado F. Robotic versus Electromagnetic Bronchoscopy for Peripheral Pulmonary Lesions: A Randomized Trial (RELIANT). Am J Respir Crit Care Med. 2025 Sep;211(9):1644-1651. doi: 10.1164/rccm.202409-1846OC. |
| 38923084 | Background | Saghaie T, Williamson JP, Phillips M, Kafili D, Sundar S, Hogarth DK, Ing A. First-in-human use of a new robotic electromagnetic navigation bronchoscopic platform with integrated Tool-in-Lesion Tomosynthesis (TiLT) technology for peripheral pulmonary lesions: The FRONTIER study. Respirology. 2024 Nov;29(11):969-975. doi: 10.1111/resp.14778. Epub 2024 Jun 24. |
| 37072895 | Background | Bhadra K, Rickman OB, Mahajan AK, Hogarth DK. "Tool-in-lesion" Accuracy of Galaxy System-A Robotic Electromagnetic Navigation BroncHoscopy With Integrated Tool-in-lesion-Tomosynthesis Technology: The MATCH Study. J Bronchology Interv Pulmonol. 2024 Jan 1;31(1):23-29. doi: 10.1097/LBR.0000000000000923. |
| 32412920 | Background | Pritchett MA, Bhadra K, Mattingley JS. Electromagnetic Navigation Bronchoscopy With Tomosynthesis-based Visualization and Positional Correction: Three-dimensional Accuracy as Confirmed by Cone-Beam Computed Tomography. J Bronchology Interv Pulmonol. 2021 Jan 1;28(1):10-20. doi: 10.1097/LBR.0000000000000687. |
| 29666814 | Background | Ferrari A, Bertolaccini L, Solli P, Di Salvia PO, Scaradozzi D. Digital chest tomosynthesis: the 2017 updated review of an emerging application. Ann Transl Med. 2018 Mar;6(5):91. doi: 10.21037/atm.2017.08.18. |
| 37868864 | Background | 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. |
| 35509435 | Background | Reisenauer J, Duke JD, Kern R, Fernandez-Bussy S, Edell E. Combining Shape-Sensing Robotic Bronchoscopy With Mobile Three-Dimensional Imaging to Verify Tool-in-Lesion and Overcome Divergence: A Pilot Study. Mayo Clin Proc Innov Qual Outcomes. 2022 Apr 23;6(3):177-185. doi: 10.1016/j.mayocpiqo.2022.02.004. eCollection 2022 Jun. |
| 38016646 | Background | Abia-Trujillo D, Folch EE, Yu Lee-Mateus A, Balasubramanian P, Kheir F, Keyes CM, Villalobos R, Chadha RM, Hazelett BN, Fernandez-Bussy S. Mobile cone-beam computed tomography complementing shape-sensing robotic-assisted bronchoscopy in the small pulmonary nodule sampling: A multicentre experience. Respirology. 2024 Apr;29(4):324-332. doi: 10.1111/resp.14626. Epub 2023 Nov 28. |
| 34515222 | Background | Avasarala SK, Roller L, Katsis J, Chen H, Lentz RJ, Rickman OB, Maldonado F. Sight Unseen: Diagnostic Yield and Safety Outcomes of a Novel Multimodality Navigation Bronchoscopy Platform with Real-Time Target Acquisition. Respiration. 2022;101(2):166-173. doi: 10.1159/000518009. Epub 2021 Sep 3. |
| 31265204 | Background | 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. |
| 36441041 | Background | 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. |
| 34384789 | Background | 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. |
| 32642251 | Background | 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. |
| 32023078 | Background | 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. |
| 26214244 | Background | 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. |
| 36640994 | Background | 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. |
| D003949 | Diagnostic Techniques, Surgical |
| D019060 | Minimally Invasive Surgical Procedures |
| D013514 | Surgical Procedures, Operative |
| D013510 | Pulmonary Surgical Procedures |
| D019616 | Thoracic Surgical Procedures |