Abstract
The debate regarding the oncological superiority of Robotic-Assisted Thoracic Surgery (RATS) versus Video-Assisted Thoracic Surgery (VATS) for early-stage lung cancer is ongoing. Current evidence suggests comparable oncological outcomes between the two approaches. This perspective posits that long-term survival relies less on the platform itself and more on the “surgeon factor”—specifically, the tenacity for radical lymph node dissection. While RATS imposes higher costs, its technical advantages may lower the barrier to achieving standardized, high-quality dissection, effectively “democratizing” surgical precision. Consequently, the choice of approach should not be binary but tailored to anatomical complexity and surgeon proficiency. Rather than forcing a transition, future paradigms must focus on leveraging technology to minimize performance variability while maintaining cost-effectiveness in a value-based healthcare system.
Keywords: humanoid surgeon, minimally invasive surgery, RATS, robotic surgery, surgical platform, VATS
Introduction
Twenty years ago, the landscape of thoracic surgery was dominated by Video-Assisted Thoracic Surgery (VATS). At that time, Robotic-Assisted Thoracic Surgery (RATS) was in its infancy a novelty introduced in select centers but rarely considered a standard of care. Surgeons were rigorously rooted in VATS, and the community witnessed firsthand how it revolutionized patient recovery compared to thoracotomy. However, the surgical landscape began to shift rapidly. We all witness that recently academic conferences are dominated by the versatility of robotic platforms, and patients increasingly arrive well-informed, explicitly asking whether the “latest technology” equates to a cure.
This rapid paradigm shift forces us to ask a fundamental question: Does the platform itself truly dictate the oncological outcome? While the technological allure of RATS is undeniable, current evidence suggests that the platform is not the sole determinant of survival.
Oncologic outcomes
Over the past decade, numerous studies have compared the outcomes of RATS and VATS. The consensus is largely one of equivalence (1–3). For instance, the recent multicenter randomized controlled trial (RVlob Trial) confirmed that RATS is non-inferior to VATS in terms of perioperative outcomes and oncological efficacy for resectable non-small-cell lung cancer (4). This consensus is further supported by institutional series. Park et al. compared early outcomes of robotic versus video-assisted thoracoscopic anatomical resection and demonstrated that complete resection rate (VATS 97.8% vs. RATS 98.5%, p=1.000) and postoperative complication rate (VATS 17.5% vs. RATS 19.0%, p=0.874) were not significantly different between VATS and RATS. They concluded that RATS is a safe and feasible procedure with perioperative results comparable to those of VATS (5–8).
This reinforces the notion that the biological behavior of the tumor and the completeness of the resection are far more impactful than the specific minimally invasive modality employed. The platform serves as the tool, not the defining factor. Yet, the real question is: who wields the tool?
Lymphadenectomy
If the platform is not the primary driver of survival, what is? Lerut T. persuasively stated in his seminal editorial, “The surgeon as a prognostic factor” (9), the technical precision, judgment, and “determination” of the surgeon to perform a radical hilar and mediastinal lymph node dissection are paramount. A complete resection (R0) with adequate lymphadenectomy is the cornerstone of lung cancer surgery, and this depends entirely on the operator’s will and skill. While some studies report similar nodal upstaging rates between platforms (13), others, such as Wilson et al., have demonstrated that RATS yields significantly higher nodal upstaging rates compared to VATS (10.9% vs 8.1%), comparable to those of thoracotomy (11, 12). This is in contrast with those who believe that the determination to remove more lymph node is correlated with specialist interest in the pathology (9). For example, surgeons with no specialist interest were more likely (38%) to sample three or fewer axillary lymph nodes per patient than specialist breast surgeons (10%). Furthermore, even a surgeon’s case volume strongly influences operative outcomes, emphasizing the importance of proficiency and experience (10).
Learning curve
In the VATS era, the steep learning curve could create a disparity in surgical quality between high-volume “master” surgeons and those with less experience (11). Nevertheless, the metric of interest and the technical competency with VATS influenced the learning curve for RATS lobectomy which was identified to be 25.3 ± 12.6 cases (14). Furthermore, when surgeons were considered experts in VATS technical proficiency was achieved earlier in the learning process (11).
Herein lies the true value of the robotic platform. It is not that RATS inherently could create better survival, but that it may facilitate excellence in surgery. Statements suggesting that RATS may “standardize excellence” or reduce surgeon-related variability should be moderated, as these remain attractive but not yet objectively proven concepts.
Nevertheless, it is known that the robotic platform could lower the technical barrier to complex procedures, allowing all surgeons to perform thorough lymph node dissections more comfortably and consistently due to enhanced visualization and dexterity. However, although attractive it has not been objectively proven concepts that RATS can enable an “average” surgeon to perform a “master-level” radical dissection with greater ease than VATS. Therefore, it is difficult to foresee when the robotic system will become a vital tool for quality assurance to reduce performance variability across the field.
Cost effectiveness
The robotic technological advantage comes at a price. The higher cost of RATS compared to VATS remains a significant hurdle to its widespread adoption, raising concerns about cost-effectiveness in healthcare systems (15, 16). Swanson SJ et al. (17) analyzed 15,502 patient records and they found that patient operating times were longer for RATS than VATS (4.49 hours versus. 4.23 hours; P = 0.0959) and wedge resection (3.26 versus. 2.86 hours; P = 0.0003). Length of stay was similar with no differences in adverse events (6, 15–17). The conclusions were that RATS lobectomy and wedge resection seem to have higher hospital costs and longer operating times, without any differences in adverse events (6, 15–17). Furthermore, another study demonstrated higher pain scores in the RATS group compared to the UVATS with 17.1% (RATS) vs 34.3% (UVATS) patients pain free at 14 postoperative day (p = 0.016) (18).
Tailored surgical strategy
As it is manifest that confusion exists, we advocate for a “Tailored Surgical Strategy.” Surgeons should not feel forced to abandon VATS if they are already achieving excellent oncological results with it. For straightforward cases, VATS remains a cost-effective and proficient approach. Conversely, for anatomically complex cases, post-induction treatments, or when extensive lymphadenectomy is anticipated, the robotic platform could offer an advantage in maintaining surgical quality. Nevertheless, although the association of artificial intelligence with robotic platform could certainly in the future add benefits in surgical practice, we must be certain that these technologies are effective, safe, and available to all. It appears evident that the modern thoracic surgeon must be able to operate using VATS or RATS (19–21) to tailor the operation on the basis of patient’s pathology and surgeon preference; in each case patient’s safety is at the top of mind of all surgeons.
The future
However, we should welcome RATS not as a replacement for surgical skill, but as a sophisticated instrument that could empowers surgeons to uphold the highest standards of oncological resection. Future discussions should shift from “Which platform is better?” to “How can we use these platforms to ensure every patient receives the same high-quality, standardized surgery?”. Although speculative, we believe that the development of independent humanoid surgical robots could lead to improve patient outcomes reducing the weakness due to “human factors”. Highest standards of oncological resection could be equal worldwide, and also delivered in less developed countries (22).
Conclusion
In conclusion, in the debate of RATS versus VATS, we must not lose sight of the ultimate goals: the patient’s safety and long-term survival. The literature and our experience suggest that the surgical approach itself is secondary to the quality of the surgery performed, and the surgeon still remains the most important prognostic factor.
Footnotes
Edited by: Jorge Humberto Rodriguez-Quintero, Albert Einstein College of Medicine, United States
Reviewed by: Ting-Fang Kuo, National Taiwan University Hospital, Taiwan
Data availability statement
The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.
Ethics statement
Ethical approval was not required for the study involving humans in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was not required from the participants or the participants’ legal guardians/next of kin in accordance with the national legislation and the institutional requirements.
Author contributions
MM: Investigation, Data curation, Software, Conceptualization, Validation, Resources, Writing – review & editing, Visualization, Project administration, Writing – original draft, Formal Analysis, Methodology, Supervision, Funding acquisition. KN: Visualization, Investigation, Resources, Validation, Data curation, Funding acquisition, Software, Project administration, Writing – review & editing, Formal Analysis, Conceptualization, Supervision, Writing – original draft, Methodology.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The author MM declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
Generative AI statement
The author(s) declared that generative AI was not used in the creation of this manuscript.
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References
- 1. Liang H, Liang W, Zhao L, Chen D, Zhang J, Zhang Y, et al. Robotic versus video-assisted lobectomy/segmentectomy for lung cancer: a meta-analysis. Ann Surg. (2018) 268:254–9. doi: 10.1097/SLA.0000000000002346 [DOI] [PubMed] [Google Scholar]
- 2. Mao J, Tang Z, Mi Y, Xu H, Li K, Liang Y, et al. Robotic and video-assisted lobectomy/segmentectomy for non-small cell lung cancer have similar perioperative outcomes: a systematic review and meta-analysis. Transl Cancer Res. (2021) 10:3883–93. doi: 10.21037/tcr-21-646 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Mirza W, Javid A, Khan ME, Uneeb M, Khan A, Khan HM, et al. Robotic-assisted vs video-assisted thoracoscopic lobectomy for non-small cell lung cancer: a GRADE-assessed systematic review and meta-analysis of randomized controlled trials on surgical quality, perioperative, and oncologic outcomes. J Robot Surg. (2025) 19(1):651. doi: 10.1007/s11701-025-02852-x [DOI] [PubMed] [Google Scholar]
- 4. Niu Z, Cao Y, Du M, Sun S, Yan Y, Zheng Y, et al. Robotic-assisted versus video-assisted lobectomy for resectable non-small-cell lung cancer: the RVlob randomized controlled trial. EClinicalMedicine. (2024) 74:102707. doi: 10.1016/j.eclinm.2024.102707 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Park JH, Park S, Kang CH, Na BS, Bae SY, Na KJ, et al. Early outcomes of robotic versus video-assisted thoracoscopic anatomical resection for lung cancer. J Chest Surg. (2022) 55:49–54. doi: 10.5090/jcs.21.128 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Reddy RM, Gorrepati ML, Oh DS, Mehendale S, Reed MF. Robotic-assisted versus thoracoscopic lobectomy outcomes from high-volume thoracic surgeons. Ann Thorac Surg. (2018) 106:902–8. doi: 10.1016/j.athoracsur.2018.03.048 [DOI] [PubMed] [Google Scholar]
- 7. Terra RM, Araujo PHXN, Lauricella LL, Campos JRM, Trindade JRM, Pêgo-Fernandes PM. A Brazilian randomized study: Robotic-assisted vs. video-assisted lung lobectomy outcomes (BRAVO trial). Jornal Brasileiro Pneumologia. (2022) 48:e20210464. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Montagne F, Chaari Z, Bottet B, Sarsam M, Mbadinga F, Selim J, et al. Long-term survival following minimally invasive lung cancer surgery: comparing robotic-assisted and video-assisted surgery. Cancers. (2022) 14:2611. doi: 10.3390/cancers14112611 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Lerut T. The surgeon as a prognostic factor. Ann Surg. (2000) 232:729–32. doi: 10.1097/00000658-200012000-00001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Merritt RE, Abdel-Rasoul M, D'Souza DM, Kneuertz PJ. Lymph node upstaging for robotic, thoracoscopic, and open lobectomy for patients with clinical stage T2-3N0 non-small cell lung cancer. Ann Thorac Surg. (2023) 115:175–82. doi: 10.1016/j.athoracsur.2022.05.041 [DOI] [PubMed] [Google Scholar]
- 11. Lee BE, Shapiro M, Rutledge JR, Korst RJ. Nodal upstaging with robotic and video assisted thoracoscopic lobectomy for clinical N0 lung cancer. Ann Thorac Surg. (2015) 100:229–33. [DOI] [PubMed] [Google Scholar]
- 12. Wilson JL, Louie BE, Cerfolio RJ, Park BJ, Vallières E, Aye RW, et al. The prevalence of nodal upstaging during robotic lung resection in early stage non-small cell lung cancer. Ann Thorac Surg. (2014) 97:1901–6. doi: 10.1016/j.athoracsur.2014.01.064 [DOI] [PubMed] [Google Scholar]
- 13. Migliore M, Choong CK, Lim E, Goldsmith KA, Ritchie A, Wells FC. A surgeon’s case volume of oesophagectomy for cancer strongly influences the operative mortality rate. Eur J Cardiothorac Surg. (2007) 32:375–80. doi: 10.1016/j.ejcts.2007.04.014 [DOI] [PubMed] [Google Scholar]
- 14. Wilson-Smith AR, Anning N, Muston B, Eranki A, Williams ML, Wilson-Smith CJ, et al. The learning curve of robotic-assisted thoracoscopic lobectomy: a systematic review and meta-analysis. Ann Cardiothorac Surg. (2023) 12:1–8. doi: 10.21037/acs-2022-urats-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Kneuertz PJ, Singer E, D'Souza DM, Abdel-Rasoul M, Moffatt-Bruce SD, Merritt RE. Hospital cost and clinical effectiveness of robotic-assisted versus video-assisted thoracoscopic and open lobectomy: a propensity score-weighted comparison. J Thorac Cardiovasc Surg. (2019) 157:2018–2026.e2. doi: 10.1016/j.jtcvs.2018.12.101 [DOI] [PubMed] [Google Scholar]
- 16. Tupper HI, Lawson BL, Kipnis P, Patel AR, Ashiku SK, Roubinian NH, et al. Video-assisted vs robotic-assisted lung lobectomies for operating room resource utilization and patient outcomes. JAMA Netw Open. (2024) 7:e248881. doi: 10.1001/jamanetworkopen.2024.8881 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Swanson SJ, Miller DL, McKenna RJ, Jr, Howington J, Marshall MB, Yoo AC, et al. Comparing robot-assisted thoracic surgical lobectomy with conventional video-assisted thoracic surgical lobectomy and wedge resection: results from a multihospital database (Premier). J Thorac Cardiovasc Surg. (2014) 147:929–37. doi: 10.1016/j.jtcvs.2013.09.046 [DOI] [PubMed] [Google Scholar]
- 18. Tulinský L, Jarošová N, Adamica D, Bujok P, Mitták M, Kondé A, et al. Pain and recovery after robotic vs. uniportal lobectomy for lung cancer: a comparative analysis. Surg Endoscopy. (2025) 39:7181–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Migliore M. Robotic assisted lung resection needs further evidence. J Thorac Dis. (2016) 8:E1274–8. doi: 10.21037/jtd.2016.10.89 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Sesti J, Langan RC, Bell J, Nguyen A, Turner AL, Hilden P, et al. A comparative analysis of long-term survival of robotic versus thoracoscopic lobectomy. Ann Thorac Surg. (2020) 110:1139–46. doi: 10.1016/j.athoracsur.2020.03.085 [DOI] [PubMed] [Google Scholar]
- 21. Cui Y, Grogan EL, Deppen SA, Wang F, Massion PP, Bailey CE, et al. Mortality for robotic- vs video-assisted lobectomy-treated stage I non-small cell lung cancer patients. JNCI Cancer Spectr. (2020) 4:pkaa028. doi: 10.1093/jncics/pkaa028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Schmidgall S, Opfermann JD, Kim JW, Krieger A. Will your next surgeon be a robot? Autonomy and AI in robotic surgery. Sci Rob. (2025) 10:eadt0187. doi: 10.1126/scirobotics.adt0187 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.
