Publication Cover
Baylor University Medical Center Proceedings
The peer-reviewed journal of Baylor Scott & White Health
Volume 36, 2023 - Issue 4
80
Views
0
CrossRef citations to date
0
Altmetric
Original Research: Oncology

Ability of single anesthesia for combined robotic-assisted bronchoscopy and surgical lobectomy to reduce time between detection and treatment in stage I non–small cell lung cancer

, BSORCID Icon, , BA, , MD, , MD & , MD
Pages 434-438 | Received 16 Jan 2023, Accepted 15 Mar 2023, Published online: 07 Apr 2023
 

Abstract

Background

Background: Early identification, diagnosis, and treatment of lung cancer is associated with improved clinical outcomes. Robotic-assisted bronchoscopy improves the ability to diagnose early stage lung malignancies and, when combined with robotic-assisted lobectomy under single anesthesia, could reduce time from identification to intervention in early stage lung cancer in a select patient population.

Methods

Methods: A retrospective case-control single-center study compared patients with radiographic stage I non–small cell carcinoma (NSCCA) undergoing robotic navigational bronchoscopy and surgical resection (N = 22) with historical controls (N = 63). The primary outcome was time from initial radiographic identification of a pulmonary nodule to therapeutic intervention. Secondary outcomes included times between identification to biopsy, biopsy to surgery, and procedural complications.

Results

Results: Patients with suspected stage I NSCCA who received single anesthesia for diagnosis and intervention with robotic-assisted bronchoscopy and robotic-assisted lobectomy had shorter times between identification of a pulmonary nodule and intervention compared to controls (65 vs 116 days, P = 0.005). Cases had lower rates of complications (0% vs 5%) and shorter hospitalizations after surgery (3.6 vs 6.2 days, P = 0.017).

Conclusion

Conclusion: Our findings support that implementing a multidisciplinary thoracic oncology team and single-anesthesia biopsy-to-surgery approach in management of stage I NSCCA significantly reduced times from identification to intervention, biopsy to intervention, and length of hospital stays in management of lung cancer.

Acknowledgments

The authors acknowledge assistance from Kim Faught, APRN, FNP-C, and Dianna Miller, RHIT, CRT, for assistance in identification of cases and controls.

Disclosure statement/Funding

No funding or potential conflict of interest was reported by the authors.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.