A novel robotic-assisted lung lobectomy simulation model
The model was rated highly for fidelity and value by both trainees and faculty, and significantly improved trainee confidence. This model offers an effective and reproducible training tool for individual program implementation.
Authors
- Ntemena Kapula (ORCID: https://orcid.org/0000-0002-4159-8913)
- Brandon A. Guenthart (ORCID: https://orcid.org/0000-0002-9864-0035)
- J. Kim
- A. Choi (ORCID: https://orcid.org/0000-0002-5636-233X)
- Irmina A. Elliott (ORCID: https://orcid.org/0000-0002-1138-9053)
- Leah M. Backhus (ORCID: https://orcid.org/0000-0002-4553-1003)
- Natalie S. Lui (ORCID: https://orcid.org/0000-0002-6602-6372)
- Joseph B. Shrager (ORCID: https://orcid.org/0000-0003-0859-0589)
- Carolyn Chang
- Mark F. Berry
- Douglas Z. Liou
Institutions
- VA Palo Alto Health Care System (US)
- Stanford Medicine (US)
- Stanford University (US)
Publication Details
- Journal
- JTCVS Open
- Published
- 2025-10-22
- DOI
- https://doi.org/10.1016/j.xjon.2025.10.006
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00