Double-Lumen Intubation Facilitating a Single-Anesthesia Workflow in Robot-Assisted Navigational Bronchoscopy and Subsequent Lung Resection: A Single-Center, Retrospective Study
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Design and Patient Selection
2.2. Preoperative Preparation
2.3. Procedural Workflow
2.4. Histopathological Workup
2.5. Subgroup Analysis
2.6. Statistical Analysis
3. Results
3.1. Patient and Lesion Characteristics
3.2. Procedural Metrics
3.3. Intraoperative Management and Complications
3.4. “Tool-in-Lesion” and Diagnostic Yield
3.5. Comparison Between SLT and DLT
3.6. SLT vs. DLT (Excluding C-Arm Cases)
4. Discussion
5. Conclusions
6. Limitations
7. Future Directions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Gex, G.; Pralong, J.A.; Combescure, C.; Seijo, L.; Rochat, T.; Soccal, P.M. Diagnostic yield and safety of electromagnetic navigation bronchoscopy for lung nodules: A systematic review and meta-analysis. Respiration 2014, 87, 165–176. [Google Scholar] [CrossRef]
- Sung, H.; Ferlay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA A Cancer J. Clin. 2021, 71, 209–249. [Google Scholar] [CrossRef]
- Verhoeven, R.L.; Fütterer, J.J.; Hoefsloot, W.; van der Heijden, E.H. Cone-beam CT image guidance with and without electromagnetic navigation bronchoscopy for biopsy of peripheral pulmonary lesions. J. Bronchol. Interv. Pulmonol. 2021, 28, 60–69. [Google Scholar] [CrossRef]
- Folch, E.E.; Pritchett, M.A.; Nead, M.A.; Bowling, M.R.; Murgu, S.D.; Krimsky, W.S.; Murillo, B.A.; LeMense, G.P.; Minnich, D.J.; Bansal, S. Electromagnetic navigation bronchoscopy for peripheral pulmonary lesions: One-year results of the prospective, multicenter NAVIGATE study. J. Thorac. Oncol. 2019, 14, 445–458. [Google Scholar] [CrossRef] [PubMed]
- Aftab, G.M.; Hamid, K.; Frenia, D. Diagnostic yield of electromagnetic navigational bronchoscopy in a low volume center when performed by community pulmonologists. Adv. Respir. Med. 2022, 90, 157–160. [Google Scholar] [CrossRef]
- Seijo, L.M.; de Torres, J.P.; Lozano, M.D.; Bastarrika, G.; Alcaide, A.B.; Lacunza, M.M.; Zulueta, J.J. Diagnostic yield of electromagnetic navigation bronchoscopy is highly dependent on the presence of a Bronchus sign on CT imaging: Results from a prospective study. Chest 2010, 138, 1316–1321. [Google Scholar] [CrossRef] [PubMed]
- Ali, M.S.; Ghori, U.K.; Wayne, M.T.; Shostak, E.; De Cardenas, J. Diagnostic performance and safety profile of robotic-assisted bronchoscopy: A systematic review and meta-analysis. Ann. Am. Thorac. Soc. 2023, 20, 1801–1812. [Google Scholar] [CrossRef]
- Chaddha, U.; Kovacs, S.P.; Manley, C.; Hogarth, D.K.; Cumbo-Nacheli, G.; Bhavani, S.V.; Kumar, R.; Shende, M.; Egan, J.P., III; Murgu, S. Robot-assisted bronchoscopy for pulmonary lesion diagnosis: Results from the initial multicenter experience. BMC Pulm. Med. 2019, 19, 243. [Google Scholar] [CrossRef] [PubMed]
- Fielding, D.I.; Bashirzadeh, F.; Son, J.H.; Todman, M.; Chin, A.; Tan, L.; Steinke, K.; Windsor, M.N.; Sung, A.W. First human use of a new robotic-assisted fiber optic sensing navigation system for small peripheral pulmonary nodules. Respiration 2019, 98, 142–150. [Google Scholar] [CrossRef]
- Simoff, M.J.; Pritchett, M.A.; Reisenauer, J.S.; Ost, D.E.; Majid, A.; Keyes, C.; Casal, R.F.; Parikh, M.S.; Diaz-Mendoza, J.; Fernandez-Bussy, S. Shape-sensing robotic-assisted bronchoscopy for pulmonary nodules: Initial multicenter experience using the Ion™ Endoluminal System. BMC Pulm. Med. 2021, 21, 322. [Google Scholar] [CrossRef]
- Shaller, B.D.; Duong, D.K.; Swenson, K.E.; Free, D.; Bedi, H. Added value of a robotic-assisted bronchoscopy platform in cone beam computed tomography-guided bronchoscopy for the diagnosis of pulmonary parenchymal lesions. J. Bronchol. Interv. Pulmonol. 2024, 31, e0971. [Google Scholar] [CrossRef]
- Bashour, S.I.; Khan, A.; Song, J.; Chintalapani, G.; Kleinszig, G.; Sabath, B.F.; Lin, J.; Grosu, H.B.; Jimenez, C.A.; Eapen, G.A. Improving shape-sensing robotic-assisted bronchoscopy outcomes with mobile cone-beam computed tomography guidance. Diagnostics 2024, 14, 1955. [Google Scholar] [CrossRef]
- Skouras, V.S.; Gkiozos, I.; Charpidou, A.G.; Syrigos, K.N. Robotic Bronchoscopy in Lung Cancer Diagnosis. Cancers 2024, 16, 1179. [Google Scholar] [CrossRef]
- Ruetzler, K.; Grubhofer, G.; Schmid, W.; Papp, D.; Nabecker, S.; Hutschala, D.; Lang, G.; Hager, H. Randomized clinical trial comparing double-lumen tube and EZ-Blocker® for single-lung ventilation. Br. J. Anaesth. 2011, 106, 896–902. [Google Scholar] [CrossRef]
- Wu, Y.; Liu, Y.; Ruan, H.; Zhang, Z.; Yang, J.; Li, N.; Wang, G.; Wang, X. Efficiency and safety of double-lumen bronchial tube and bronchial blocker for one-lung ventilation in patients with thoracic surgery: A meta-analysis. BMC Anesthesiol. 2025, 25, 281. [Google Scholar] [CrossRef]
- Shaylor, R.; Verenkin, V.; Matot, I. Anesthesia for patients undergoing anesthesia for elective thoracic surgery during the COVID-19 pandemic: A consensus statement from the Israeli Society of Anesthesiologists. J. Cardiothorac. Vasc. Anesth. 2020, 34, 3211–3217. [Google Scholar] [CrossRef]
- Langiano, N.; Fiorelli, S.; Deana, C.; Baroselli, A.; Bignami, E.G.; Matellon, C.; Pompei, L.; Tornaghi, A.; Piccioni, F.; Orsetti, R. Airway management in anesthesia for thoracic surgery: A “real life” observational study. J. Thorac. Dis. 2019, 11, 3257. [Google Scholar] [CrossRef] [PubMed]
- Sonnet, M. Living Guideline der S3-Leitlinie Lungenkarzinom veröffentlicht: Living Guideline der S3-Leitlinie Lungenkarzinom veröffentlicht. Im. Fokus Onkol. 2025, 28, 32. [Google Scholar] [CrossRef]
- Remon, J.; Soria, J.-C.; Peters, S. Early and locally advanced non-small-cell lung cancer: An update of the ESMO Clinical Practice Guidelines focusing on diagnosis, staging, systemic and local therapy. Ann. Oncol. 2021, 32, 1637–1642. [Google Scholar] [CrossRef] [PubMed]
- O’Dowd, E.L.; Tietzova, I.; Bartlett, E.; Devaraj, A.; Biederer, J.; Brambilla, M.; Brunelli, A.; Chorostowska, J.; Decaluwe, H.; Deruysscher, D. ERS/ESTS/ESTRO/ESR/ESTI/EFOMP statement on management of incidental findings from low dose CT screening for lung cancer. Eur. J. Cardio-Thorac. Surg. 2023, 64, ezad302. [Google Scholar] [CrossRef]
- Guirado, M.; Fernández Martín, E.; Fernández Villar, A.; Navarro Martín, A.; Sánchez-Hernández, A. Clinical impact of delays in the management of lung cancer patients in the last decade: Systematic review. Clin. Transl. Oncol. 2022, 24, 1549–1568. [Google Scholar] [CrossRef]
- Tsai, C.-H.; Kung, P.-T.; Kuo, W.-Y.; Tsai, W.-C. Effect of time interval from diagnosis to treatment for non-small cell lung cancer on survival: A national cohort study in Taiwan. BMJ Open 2020, 10, e034351. [Google Scholar] [CrossRef]
- Weiser, L.; Perez, C.; Watson, J.J.; Knabe, K.; Razavi, A.; Krishna, V.; Fuller, C.; Soukiasian, S.; Brownlee, A.R.; Soukiasian, H.J. Combining robotic navigational bronchoscopy and lung resection into a single anesthetic event: Cost-effectiveness, wait times, and outcomes. Ann. Thorac. Surg. Short. Rep. 2025, 3, 324–328. [Google Scholar] [CrossRef]
- Xie, F.; Zhang, Q.; Mu, C.; Zhang, Q.; Yang, H.; Mao, J.; Simoff, M.J.; Huang, J.A.; Zhang, X.; Sun, J. Shape-sensing robotic-assisted bronchoscopy (SS-RAB) in sampling peripheral pulmonary nodules: A prospective, multicenter clinical feasibility study in China. J. Bronchol. Interv. Pulmonol. 2024, 31, e0981. [Google Scholar] [CrossRef] [PubMed]
- Sun, X.; Su, Y.; Li, S.; Tian, Y.; Zhao, L. Diagnostic Value and Safety of Electromagnetic Navigation Bronchoscopy in Peripheral Pulmonary Lesions: A Meta-analysis. Zhongguo Fei Ai Za Zhi 2023, 26, 119–134. [Google Scholar]
- Verhoeven, R.L.; van der Sterren, W.; Kong, W.; Langereis, S.; van der Tol, P.; van der Heijden, E.H. Cone-beam CT and augmented fluoroscopy–guided navigation bronchoscopy: Radiation exposure and diagnostic accuracy learning curves. J. Bronchol. Interv. Pulmonol. 2021, 28, 262–271. [Google Scholar] [CrossRef] [PubMed]
- Pritchett, M.A.; Schampaert, S.; De Groot, J.A.; Schirmer, C.C.; van der Bom, I. Cone-beam CT with augmented fluoroscopy combined with electromagnetic navigation bronchoscopy for biopsy of pulmonary nodules. J. Bronchol. Interv. Pulmonol. 2018, 25, 274–282. [Google Scholar] [CrossRef]
- Olsson, J.; Schultz, E.; Gould, M. Timeliness of care in patients with lung cancer: A systematic review. Thorax 2009, 64, 749–756. [Google Scholar] [CrossRef] [PubMed]
- Shoni, M.; Rodriguez, G. Intraoperative anesthetic management of the thoracic patient. Thorac. Surg. Clin. 2020, 30, 279–291. [Google Scholar] [CrossRef]

| Total (n = 36 Patients/n = 42 Nodules) | |
|---|---|
| Age (patients) | 64.94 ± 7.94 |
| Female (patients) | 16 (44.4%) |
| Topographical data (nodules) | |
| Peripheral third | 32 (76.2%) |
| Middle third | 6 (14.3%) |
| Central third | 4 (9.5%) |
| Lesion Lobe (nodules) | |
| RUL | 11 (26.2%) |
| ML | 4 (9.5%) |
| RLL | 4 (9.5%) |
| LUL | 12 (28.6%) |
| LLL | 11 (26.2%) |
| Morphological data (nodules) | |
| Lesion size (cm) | 1.22 ± 0.76 |
| Lesion Density (nodules) | |
| Solid | 33 (78.6%) |
| Sub-solid | 1 (2.4%) |
| GGO | 8 (19.0%) |
| Imaging tool (nodules) | |
| C-arm | 9 (21.4%) |
| CBCT | 33 (78.6%) |
| Primary airway management (patients) | |
| SLT | 16 (44.4%) |
| DLT | 20 (55.6%) |
| Biopsy tool (nodules) | |
| Forceps | 40.0% |
| Cryoprobe | 48.0% |
| Cryoprobe + Forceps | 12.0% |
| Number of biopsies per patient | 5.39 ± 3.59 |
| Procedure time (min.) | 58.28 ± 21.32 |
| Surgical technique (%) | |
| RATS | 58.3 |
| VATS | 30.6 |
| None | 11.1 |
| Diagnostic yield (%) | 73.0 |
| (Serious) Adverse Event | 0% |
| Minor bleeding | 1 (2.4%) |
| SLT (n = 16) | DLT (n = 20) | p-Value | |
|---|---|---|---|
| Procedure Time (min.) | 63.06 ± 18.64 | 54.45 ± 23.02 | 0.234 |
| Number of biopsies per patient | 3.16 ± 3.07 | 7.88 ± 2.23 | 0.035 |
| Lesion size (cm) | 1.59 ± 0.84 | 1.12 ± 0.66 | 0.070 |
| Diagnostic yield (%) | 50.0 | 84.2 | 0.035 |
| C-arm | 9 (56.3%) | 0.0 | <0.001 |
| SLT (n = 7) | DLT (n = 20) | p-Value | |
|---|---|---|---|
| Procedure Time (min.) | 63.28 ± 21.45 | 54.45 ± 23.03 | 0.383 |
| Number of biopsies per patient | 5.10 ± 3.14 | 7.88 ± 2.23 | 0.060 |
| Lesion size (cm) | 1.23 ± 0.39 | 1.12 ± 0.66 | 0.675 |
| Diagnostic yield (%) | 66.7 | 84.2 | 0.562 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Menghesha, H.; Arensmeyer, J.; Feodorovici, P.; Coburn, M.; Skowasch, D.; Kütting, D.; Schmidt, J.; Zalepugas, D. Double-Lumen Intubation Facilitating a Single-Anesthesia Workflow in Robot-Assisted Navigational Bronchoscopy and Subsequent Lung Resection: A Single-Center, Retrospective Study. J. Clin. Med. 2026, 15, 1025. https://doi.org/10.3390/jcm15031025
Menghesha H, Arensmeyer J, Feodorovici P, Coburn M, Skowasch D, Kütting D, Schmidt J, Zalepugas D. Double-Lumen Intubation Facilitating a Single-Anesthesia Workflow in Robot-Assisted Navigational Bronchoscopy and Subsequent Lung Resection: A Single-Center, Retrospective Study. Journal of Clinical Medicine. 2026; 15(3):1025. https://doi.org/10.3390/jcm15031025
Chicago/Turabian StyleMenghesha, Hruy, Jan Arensmeyer, Philipp Feodorovici, Mark Coburn, Dirk Skowasch, Daniel Kütting, Joachim Schmidt, and Donatas Zalepugas. 2026. "Double-Lumen Intubation Facilitating a Single-Anesthesia Workflow in Robot-Assisted Navigational Bronchoscopy and Subsequent Lung Resection: A Single-Center, Retrospective Study" Journal of Clinical Medicine 15, no. 3: 1025. https://doi.org/10.3390/jcm15031025
APA StyleMenghesha, H., Arensmeyer, J., Feodorovici, P., Coburn, M., Skowasch, D., Kütting, D., Schmidt, J., & Zalepugas, D. (2026). Double-Lumen Intubation Facilitating a Single-Anesthesia Workflow in Robot-Assisted Navigational Bronchoscopy and Subsequent Lung Resection: A Single-Center, Retrospective Study. Journal of Clinical Medicine, 15(3), 1025. https://doi.org/10.3390/jcm15031025

