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Past
Over the past decade, there has been a marked increase in the uptake of robotic surgery in patients undergoing curative esophagectomy or gastrectomy for esophagogastric cancers. Although there is an expanding evidence base for minimally invasive techniques that appears to suggest either improved or similar morbidity, without compromising oncological quality,1,2 most of these studies preclude analysis comparing robotic esophagectomy or gastrectomy. To date, only one single-center European randomized controlled trial3 has shown improvements in postoperative complications, pain, short-term quality of life, and functional recovery when comparing robotic with open esophagectomy. Furthermore, a recent publication from the Upper Gastrointestinal International Robotic-assisted Association (UGIRA) demonstrated promising results of this technique when undertaken in high-volume specialized centers with adequate training.4 The data concerning robotic gastrectomy is largely based on observational cohort studies5 and originates from the Far East, with a different patient population and standard of lymphadenectomy to what is commonly observed in Western centers.5,6
Present
The present study7 included patients with nonmetastatic esophageal and gastric cancers receiving open (esophagus, n = 11,442; stomach, n = 22,183), laparoscopic [esophagus (LAMIE), n = 4827; stomach (LAMIG), n = 6359], or robotic [esophagus (RAMIE), n = 1657; stomach (RAMIG), n = 1718] surgery from the US National Cancer Database (NCDB) (2010–2017). Patients receiving robotic surgery were more commonly treated within high-volume, academic centers and with advanced clinical T and N stage disease. From 2010 to 2017, textbook outcome (TO) rates increased for esophageal and gastric cancer treated by all surgical techniques. RAMIE [odds ratio (OR):1.41, CI95%: 1.27–1.58] and RAMIG (OR: 1.30, CI95%: 1.17–1.45) had significantly higher TO rates compared with open surgery. For esophagectomy, TO [hazard ratio (HR): 0.64, CI95%: 0.60–0.67] and RAMIE (HR: 0.92, CI95%: 0.84–1.00) were both associated with long-term survival. For gastrectomy, TO (HR: 0.58, CI95%: 0.56–0.60) and both LAMIG (HR: 0.89, CI95%: 0.85–0.94) and RAMIG (HR: 0.88, CI95%: 0.81–0.96) were all associated with long-term survival. Subset analysis in high-volume centers confirmed similar findings.
Future
Moving forwards, dissemination of robotic surgery is key to ensuring routine adoption into clinical practice to optimize patient benefits. Firstly, implementation of training programs should be safe and be adopted within high-volume centers and/or surgeons to ensure a sufficient case volume to shorten any potential proficiency gain curve. Further, embedding adjuncts such as video-based analyses of performance, telemedicine for surgical coaching, and image-based surgery with projections of preoperative imaging may allow refined surgical anatomy and dissection in cancer surgery and shorten the learning curve among surgeons. Secondly, regulators and surgical community need to have highly regulated systems in place, such as international registries. This would be useful for (i) close monitoring of performance and uptake of robotic surgeries across various specialties and (ii) generating accurate data to inform the creation of appropriate safeguards; national bodies should consider providing coverage for robotic surgery with provisions for evidence development. The UGIRA was established to facilitate the reporting of robotic procedures worldwide and analyze variation and learning curves. Use of these provisions would facilitate greater understanding of how robotic procedures are being used in real-world practice. Akin to post-market surveillance of pharmaceuticals, such provisions would also create a common data resource from which the comparative safety and effectiveness of robotic operations can be evaluated by numerous investigators and is necessary for not only RAMIE/MIG, but also other types of surgery.
References
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Kamarajah, S.K., Griffiths, E.A., Phillips, A.W. et al. ASO Author Reflections: Modern-Day Implementation of Robotic Esophagogastric Cancer Surgery. Ann Surg Oncol 29, 2826–2827 (2022). https://doi.org/10.1245/s10434-021-11107-6
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DOI: https://doi.org/10.1245/s10434-021-11107-6