Robotic-assisted minimally invasive esophagectomy—technical considerations and outcomes
Introduction
Esophageal cancer is recognized as the seventh most common cancer and sixth deadliest cancer worldwide (1,2). The standard curative treatment approach for resectable cases involves a radical esophagectomy and extended lymphadenectomy—a technically demanding procedure associated with high morbidity and mortality rates (3,4). Since the pioneering esophagectomy performed for intrathoracic esophageal cancer in 1913, significant advancements have occurred in both technique and approach (5).
Historically, open esophagectomy (OE), which usually involves a thoracotomy and laparotomy, was the standard approach until the advent of minimally invasive esophagectomy (MIE) in 1992 (6). This shift was marked by a hybrid approach that combined thoracoscopic and laparoscopic techniques, as seen in the MIRO trial. This randomized control trial highlighted a reduction in major complications with the hybrid approach compared to OE, though it also brought to light concerns about the high rates of pulmonary complication linked to thoracotomy (7).
By 2011, the pivotal TIME trial established the superiority of a total MIE over OE by comparing multiple perioperative parameters (8). This trial, employing the McKeown procedure, demonstrated that MIE could reduce postoperative pulmonary infections, operative blood loss, postoperative pain scores, and hospital length of stay, while improving overall quality of life. Importantly, MIE achieved these benefits while maintaining equivalent long-term oncologic outcomes (8). Subsequent systematic reviews have reaffirmed these findings, solidifying MIE as a preferred approach in many centers (9,10). However, concerns emerged regarding the safety of MIE, citing higher rates of reinterventions compared to OE (11-15). Additionally, MIE is not without its challenges, including limited instrument movement that decreases surgical dexterity and a steep learning curve that necessitates a high volume of cases to achieve proficiency (1,16).
In response to the limitations and technical challenges associated with conventional MIE, robotic-assisted MIE (RAMIE) was introduced in 2004 with further developments documented in a 2006 case series (17,18). RAMIE employs state-of-the-art robotic systems that offer articulated instruments with seven degrees of freedom, tremor-filtering, and enhanced magnification (19). The introduction of RAMIE has marked a significant shift in surgical practice, with a notable increase in the number of esophagectomies performed robotically between 2009 and 2016 (20).
This review seeks to comprehensively analyze the existing literature on RAMIE, comparing it with traditional MIE and OE approaches. We will explore the various techniques within RAMIE and assess how its outcomes measure up against those of OE and MIE. It underscores the necessity for thoracic surgeons to remain well-versed in the latest developments within the field of robotic esophagectomy to enhance patient outcomes and adapt to the evolving landscape of surgical techniques.
RAMIE technical considerations
Approach
RAMIE, encompassing both transhiatal and transthoracic approaches, has seen varying adoption rates across different regions influenced by histologic subtypes of cancer, patient conditions, and surgeon preference. The McKeown approach, prevalent in Asia, places emphasis on cervical lymph node dissection, aligning with the typical location of esophageal squamous cell carcinoma (SCC) in the proximal or mid-esophagus (21,22). Conversely, the Ivor-Lewis or transhiatal approach are predominately utilized in America and Europe where adenocarcinoma in the lower esophagus is more common (23,24). The first transhiatal robotic-assisted esophagectomy was reported by Horgan et al. in 2003 (25) and has since remained a promising approach for esophagectomy. This technique is noted for its shorter learning curves and comparable operative times, mortality rates, blood loss, and lengths of hospital stay (26).
Additionally, the application of robotics in esophagectomy varies widely. In the McKeown approach, some surgeons only use the robot during the thoracic phase, while others extend its use to the abdominal phase as well. For the Ivor-Lewis approach, there are significant technical challenges associated with performing the intrathoracic esophagogastrostomy with conventional MIE. However, robotic assistance can facilitate this complex intrathoracic anastomosis, making fully or partially robotic-assisted Ivor-Lewis procedures increasingly more common (27).
Patient positioning
When planning patient positioning for each RAMIE approach, it is crucial to tailor positioning to the specific phases of the procedure to optimize surgical access and maneuverability. For an Ivor-Lewis RAMIE, the patient is positioned supine during the abdominal phase and shifts to a left lateral decubitus position for the thoracic phase. In contrast, a McKeown RAMIE involves the patient remaining supine during both the cervical and abdominal phases, while starting with the left lateral decubitus position for the thoracic phase. Notably, while thoracoscopic MIE approaches are typically performed in the left lateral decubitus position, Otsubo et al. have reported improved postoperative oxygenation when the thoracic phase is conducted with the patient in a supine position (28). Meanwhile, in a transhiatal RAMIE, the patient remains in a supine position throughout both the abdominal and cervical phases. This strategic positioning facilitates optimal access and maneuverability during each distinct phase of the RAMIE procedures.
Anastomosis
Anastomotic leakage stands out as the most critical and life-threatening complication post-esophagectomy, and surgeons have continually sought to address this problem by investigating various techniques over the years. When opting for a cervical anastomosis, as seen with McKeown and transhiatal esophagectomy, the procedure typically involves a left cervical incision, which remains consistent across both open and minimally invasive approaches (1). However, performing an intrathoracic anastomosis, characteristic of Ivor-Lewis esophagectomy, can pose technical challenges, particularly with conventional thoracoscopic MIE methods due to rigid instruments and limited thoracic mobility (1). With RAMIE, articulated instruments allow for a broader range of motion within the osseous thorax. While a circular stapled anastomosis is the standard technique in thoracoscopic approaches, RAMIE also offers the versatility of a hand-sewn anastomosis (29).
When comparing the various robotic esophagectomy anastomotic techniques, it is essential to acknowledge that whether employing circular stapled, linear stapled, or handsewn methods, each technique strives to achieve a tension-free, well-vascularized, patent anastomosis with adequate tumor resection margins. The circular stapled technique, known for its straightforward and reproducible approach, involves placing an anvil within the esophagus and using the circular stapler within the conduit. This technique typically reports anastomotic leak rates between 5% and 10% (30-33) and stricture rates, while infrequently reported, have reached as high as 19% (33), with postoperative dysphagia occurring around 17% (34). The linear-stapled, or hybrid, technique, requires aligning the esophagus and conduit side-to-side, then using a linear stapler to create a common channel. The final closure of the common defect is performed by hand. This technique shows anastomotic leak rates ranging from 4% to 8% and stricture rates between 6% and 16% (34-37). Lastly, the handsewn technique, which is the most time-consuming, involves the surgeon hand sewing the anastomosis entirely using the robotic console. Leak rates for this technique have been reported from 0% to 30%, with stricture rates largely unreported (38-41).
Lymphadenectomy
Finally, in terms of overall survival, the thoroughness of lymphadenectomy during esophagectomy holds paramount importance. A lymph node harvest of a minimum of 15 nodes correlates with enhanced overall survival rates (42). RAMIE facilitates meticulous lymph node dissection, particularly in complex regions previously subjected to irradiation, ensuring comprehensive treatment (32). Some investigations suggest RAMIE yields an increased lymph node harvest compared to conventional MIE, particularly in Asia, where consistent data supports a more thorough mediastinal lymph node dissection (43,44). Despite variations in findings, an overwhelming majority of consensus experts agree on RAMIE’s potential superiority over MIE in terms of extensive mediastinal lymphadenectomy (45).
Total mesoesophagus excision (TME)
A TME is a technique derived from rectal cancer surgery that has been advocated for by Japanese surgeons as the optimal resection approach for esophagectomy, emphasizing its potential to maximize en bloc excision by leveraging the anatomical space surrounding the esophagus (45). Identifying the mesoesophagus can pose a challenge with the conventional MIE approach, particularly in cases where patients have undergone neoadjuvant radiotherapy. However, the improved visual field provided by robotic technology facilitates the TME technique, making it more feasible. However, the adoption of TME remains predominantly within Asian surgical practices, with ongoing debates surrounding its efficacy in increasing lymph node excision and reducing mediastinal lymph node recurrence rates (46).
Thoracic duct resection
Similarly, the routine resection of the thoracic duct during RAMIE remains controversial due to associated postoperative complications, such as chylothorax, long-term immune alterations, hemodynamic shifts, and changes in nutrient absorption, though it may potentially remove a source of metastatic tumor cells or future lymph node metastatic sites (47-49). By employing the RAMIE approach, the thoracic duct can be precisely identified and resected with the 10-fold magnification and stable three-dimensional view that the robotic platform allows (50).
Outcomes of robotic esophagectomy
RAMIE is predominantly utilized in patients with esophageal cancer, and its efficacy has been evaluated through prospective randomized controlled trials (RCTs) (51,52) as well as numerous meta-analyses and retrospective studies (53,54). These studies have compared RAMIE’s operative, postoperative, and oncologic outcomes with those of OE and MIE.
Intraoperative blood loss
Studies consistently show that RAMIE results in lower intraoperative blood loss compared to OE (55,56). When comparing RAMIE with MIE, the findings are mixed in comparison—some studies report similar amounts of blood loss (51,57-61), while others indicate it is lower in RAMIE (62-64).
Anastomotic leak
Comparative studies using the McKeown and Ivor-Lewis techniques reveal that RAMIE and MIE show comparable anastomotic leak rates, with no significant differences observed across multiple studies (65-69). Similarly, when comparing RAMIE to OE, the research indicates that there are no significant differences in anastomotic leak rates between these surgical approaches (52,70-75).
Lymph node harvest
When evaluating the capacity for a larger lymph node harvest, the findings from various studies present a complex yet insightful picture. Propensity-matched studies have consistently shown superior lymph node yields with RAMIE, as evidenced by two extensive reports (22,76). However, this outcome is contrasted by another matched study which found a more effective lymph node harvest with MIE as compared to RAMIE (31). Further analysis through a RCT supports the efficacy of RAMIE, demonstrating a more favorable lymph node harvest with this technique (77).
Comparative assessments between RAMIE and traditional OE reveal mixed outcomes. While one RCT reported no significant differences in lymph node harvest between the two techniques (31), three additional observational studies observed a greater lymph node yield with RAMIE compared to OE (72,73,76).
A particularly notable finding emerges when considering patients who received neoadjuvant therapy. In this specific subset, those who underwent RAMIE harvested significantly more lymph nodes than those who underwent MIE, despite there being no significant differences in the total number of lymph nodes harvested across the entire study population (21,31,78). This highlights RAMIE’s potential in achieving a more thorough lymph node dissection, enhancing its role in the treatment of esophageal cancer.
Oncologic outcomes
A RCT with a follow-up median of 21 months indicated that the cancer recurrence rates for RAMIE and VAMIE were 14.9% and 25.5%, respectively, although these differences were not statistically significant (77). Furthermore, an observational study echoed these findings, showing no significant differences in overall recurrence rates, with RAMIE at 11.8% and VAMIE at 10.2%. Locoregional recurrence rates were also similar between the two methods (RAMIE 3.5%, VAMIE 3.9%), despite RAMIE having a longer median follow-up time of 17.2 months compared to 9.3 months for VAMIE (69). Additionally, one RCT and an observational study found no difference in either locoregional or distant recurrence between RAMIE and OE (52,75).
Operative time
Operative times for RAMIE tend to be longer when compared to OE (55,56) and MIE (57,62,63) in several studies. However, results from the RAMIE trial, a randomized control trial comparing MIE and RAMIE, suggest a shorter operative time with RAMIE compared to previous findings, attributed to more efficient docking processes and the advanced capabilities of wristed robotic instruments and 3D visualization (51). Notably, while one randomized control trial by van der Sluis et al. reported a longer operative time for RAMIE compared to OE (349 vs. 296 minutes) (52), additional observational studies did not report any statistical difference between the two techniques (66,71,74).
Cost
The robotic platform, while initially expensive to acquire and maintain, shows promise in reducing overall healthcare costs. Early data suggest that while the cost per procedure is higher for RAMIE, the total expenses—including those associated with treating complications—may be lower due to fewer complications (52,79). Furthermore, the potential integration of artificial intelligence and future technological advancements could significantly enhance the effectiveness and cost-efficiency of robotic surgeries.
Learning curve
Chan et al. conducted a recent systematic review that analyzed a substantial body of research addressing the learning curves associated with various esophagectomy techniques. Their findings indicate that mastering a total MIE approach typically requires approximately 69 cases. In contrast, the learning curve for a total RAMIE approach is notably shorter, with an estimated 36 cases needed for proficiency. It is important to note that some surgeons’ prior experience with the MIE technique, years of experience as a thoracic faculty, as well as familiarity with the robotic platform from performing other robotic-assisted thoracic cases could potentially contribute to the reduced number of cases required to overcome the learning curve for RAMIE (16).
Conclusions
In conclusion, RAMIE has established itself as a robust and effective approach for treating esophageal cancer. By harnessing advanced robotic technology, RAMIE addresses the limitations often encountered with conventional MIE, such as restricted instrument mobility and a challenging learning curve. Since its introduction, RAMIE has not only captured the attention of the surgical community but has also demonstrated its capability to enhance perioperative outcomes and oncologic efficacy.
The accumulated evidence robustly positions RAMIE as a superior alternative to traditional esophagectomy methods, particularly for esophageal cancer treatment. With its demonstrated potential to improve surgical precision and patient recovery, RAMIE is shaping the future of minimally invasive esophageal surgery, making advanced surgical techniques more accessible and effective for a wider range of patients.
Acknowledgments
Funding: None.
Footnote
Peer Review File: Available at https://aoe.amegroups.com/article/view/10.21037/aoe-24-18/prf
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://aoe.amegroups.org/article/view/10.21037/aoe-24-18/coif). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
References
- Mann C, Berlth F, Hadzijusufovic E, et al. Minimally invasive esophagectomy: clinical evidence and surgical techniques. Langenbecks Arch Surg 2020;405:1061-7. [Crossref] [PubMed]
- Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018;68:394-424. [Crossref] [PubMed]
- Zheng C, Li XK, Zhang C, et al. Comparison of short-term clinical outcomes between robot-assisted minimally invasive esophagectomy and video-assisted minimally invasive esophagectomy: a systematic review and meta-analysis. J Thorac Dis 2021;13:708-19. [Crossref] [PubMed]
- Lv L, Hu W, Ren Y, et al. Minimally invasive esophagectomy versus open esophagectomy for esophageal cancer: a meta-analysis. Onco Targets Ther 2016;9:6751-62. [Crossref] [PubMed]
- Lerut T, Wiesel O. History of esophagectomy for cancer of the esophagus and the gastroesophageal junction. Ann Transl Med 2021;9:897. [Crossref] [PubMed]
- Cuschieri A, Shimi S, Banting S. Endoscopic oesophagectomy through a right thoracoscopic approach. J R Coll Surg Edinb 1992;37:7-11. [PubMed]
- Briez N, Piessen G, Bonnetain F, et al. Open versus laparoscopically-assisted oesophagectomy for cancer: a multicentre randomised controlled phase III trial - the MIRO trial. BMC Cancer 2011;11:310. [Crossref] [PubMed]
- Biere SS, Maas KW, Bonavina L, et al. Traditional invasive vs. minimally invasive esophagectomy: a multi-center, randomized trial (TIME-trial). BMC Surg 2011;11:2. [Crossref] [PubMed]
- Verhage RJ, Hazebroek EJ, Boone J, et al. Minimally invasive surgery compared to open procedures in esophagectomy for cancer: a systematic review of the literature. Minerva Chir 2009;64:135-46. [PubMed]
- Deng J, Su Q, Ren Z, et al. Comparison of short-term outcomes between minimally invasive McKeown and Ivor Lewis esophagectomy for esophageal or junctional cancer: a systematic review and meta-analysis. Onco Targets Ther 2018;11:6057-69. [Crossref] [PubMed]
- Kingma BF, Grimminger PP, van der Sluis PC, et al. Worldwide Techniques and Outcomes in Robot-assisted Minimally Invasive Esophagectomy (RAMIE): Results From the Multicenter International Registry. Ann Surg 2022;276:e386-92. [Crossref] [PubMed]
- Seesing MFJ, Gisbertz SS, Goense L, et al. A Propensity Score Matched Analysis of Open Versus Minimally Invasive Transthoracic Esophagectomy in the Netherlands. Ann Surg 2017;266:839-46. [Crossref] [PubMed]
- Sihag S, Kosinski AS, Gaissert HA, et al. Minimally Invasive Versus Open Esophagectomy for Esophageal Cancer: A Comparison of Early Surgical Outcomes From The Society of Thoracic Surgeons National Database. Ann Thorac Surg 2016;101:1281-8; discussion 1288-9. [Crossref] [PubMed]
- Takeuchi H, Miyata H, Ozawa S, et al. Comparison of Short-Term Outcomes Between Open and Minimally Invasive Esophagectomy for Esophageal Cancer Using a Nationwide Database in Japan. Ann Surg Oncol 2017;24:1821-7. [Crossref] [PubMed]
- Mamidanna R, Bottle A, Aylin P, et al. Short-term outcomes following open versus minimally invasive esophagectomy for cancer in England: a population-based national study. Ann Surg 2012;255:197-203. [Crossref] [PubMed]
- Chan KS, Oo AM. Exploring the learning curve in minimally invasive esophagectomy: a systematic review. Dis Esophagus 2023;36:doad008. [Crossref] [PubMed]
- van Hillegersberg R, Boone J, Draaisma WA, et al. First experience with robot-assisted thoracoscopic esophagolymphadenectomy for esophageal cancer. Surg Endosc 2006;20:1435-9. [Crossref] [PubMed]
- Kernstine KH, DeArmond DT, Karimi M, et al. The robotic, 2-stage, 3-field esophagolymphadenectomy. J Thorac Cardiovasc Surg 2004;127:1847-9. [Crossref] [PubMed]
- Qureshi YA, Dawas KI, Mughal M, et al. Minimally invasive and robotic esophagectomy: Evolution and evidence. J Surg Oncol 2016;114:731-5. [Crossref] [PubMed]
- Seto Y, Mori K, Aikou S. Robotic surgery for esophageal cancer: Merits and demerits. Ann Gastroenterol Surg 2017;1:193-8. [Crossref] [PubMed]
- Chao YK, Hsieh MJ, Liu YH, et al. Lymph Node Evaluation in Robot-Assisted Versus Video-Assisted Thoracoscopic Esophagectomy for Esophageal Squamous Cell Carcinoma: A Propensity-Matched Analysis. World J Surg 2018;42:590-8. [Crossref] [PubMed]
- Deng HY, Luo J, Li SX, et al. Does robot-assisted minimally invasive esophagectomy really have the advantage of lymphadenectomy over video-assisted minimally invasive esophagectomy in treating esophageal squamous cell carcinoma? A propensity score-matched analysis based on short-term outcomes. Dis Esophagus 2019;32:doy110. [Crossref] [PubMed]
- van der Horst S, de Maat MFG, van der Sluis PC, et al. Extended thoracic lymph node dissection in robotic-assisted minimal invasive esophagectomy (RAMIE) for patients with superior mediastinal lymph node metastasis. Ann Cardiothorac Surg 2019;8:218-25. [Crossref] [PubMed]
- Cerfolio RJ, Wei B, Hawn MT, et al. Robotic Esophagectomy for Cancer: Early Results and Lessons Learned. Semin Thorac Cardiovasc Surg 2016;28:160-9. [Crossref] [PubMed]
- Horgan S, Berger RA, Elli EF, et al. Robotic-assisted minimally invasive transhiatal esophagectomy. Am Surg 2003;69:624-6. [Crossref] [PubMed]
- Dunn DH, Johnson EM, Anderson CA, et al. Operative and survival outcomes in a series of 100 consecutive cases of robot-assisted transhiatal esophagectomies. Dis Esophagus 2017;30:1-7. [Crossref] [PubMed]
- de la Fuente SG, Weber J, Hoffe SE, et al. Initial experience from a large referral center with robotic-assisted Ivor Lewis esophagogastrectomy for oncologic purposes. Surg Endosc 2013;27:3339-47. [Crossref] [PubMed]
- Otsubo D, Nakamura T, Yamamoto M, et al. Prone position in thoracoscopic esophagectomy improves postoperative oxygenation and reduces pulmonary complications. Surg Endosc 2017;31:1136-41. [Crossref] [PubMed]
- de Groot EM, Kingma FB, Goense L, et al. Robot-assisted hand-sewn intrathoracic anastomosis after esophagectomy. Ann Esophagus 2022;5:19. [Crossref]
- Sarkaria IS, Rizk NP, Grosser R, et al. Attaining Proficiency in Robotic-Assisted Minimally Invasive Esophagectomy While Maximizing Safety During Procedure Development. Innovations (Phila) 2016;11:268-73. [Crossref] [PubMed]
- Tagkalos E, Goense L, Hoppe-Lotichius M, et al. Robot-assisted minimally invasive esophagectomy (RAMIE) compared to conventional minimally invasive esophagectomy (MIE) for esophageal cancer: a propensity-matched analysis. Dis Esophagus 2020;33:doz060. [Crossref] [PubMed]
- van der Sluis PC, Tagkalos E, Hadzijusufovic E, et al. Robot-Assisted Minimally Invasive Esophagectomy with Intrathoracic Anastomosis (Ivor Lewis): Promising Results in 100 Consecutive Patients (the European Experience). J Gastrointest Surg 2021;25:1-8. [Crossref] [PubMed]
- Wang WP, Chen LQ, Zhang HL, et al. Modified Intrathoracic Esophagogastrostomy with Minimally Invasive Robot-Assisted Ivor-Lewis Esophagectomy for Cancer. Dig Surg 2019;36:218-25. [Crossref] [PubMed]
- Zhang H, Wang Z, Zheng Y, et al. Robotic Side-to-Side and End-to-Side Stapled Esophagogastric Anastomosis of Ivor Lewis Esophagectomy for Cancer. World J Surg 2019;43:3074-82. [Crossref] [PubMed]
- Chouliaras K, Hochwald S, Kukar M. Robotic-assisted Ivor Lewis esophagectomy, a review of the technique. Updates Surg 2021;73:831-8. [Crossref] [PubMed]
- Hodari A, Park KU, Lace B, et al. Robot-Assisted Minimally Invasive Ivor Lewis Esophagectomy With Real-Time Perfusion Assessment. Ann Thorac Surg 2015;100:947-52. [Crossref] [PubMed]
- Kandagatla P, Ghandour AH, Amro A, et al. Long-term outcomes after robotic-assisted Ivor Lewis esophagectomy. J Robot Surg 2022;16:119-25. [Crossref] [PubMed]
- Cerfolio RJ, Bryant AS, Hawn MT. Technical aspects and early results of robotic esophagectomy with chest anastomosis. J Thorac Cardiovasc Surg 2013;145:90-6. [Crossref] [PubMed]
- Egberts JH, Stein H, Aselmann H, et al. Fully robotic da Vinci Ivor-Lewis esophagectomy in four-arm technique-problems and solutions. Dis Esophagus 2017;30:1-9. [Crossref] [PubMed]
- Trugeda S, Fernández-Díaz MJ, Rodríguez-Sanjuán JC, et al. Initial results of robot-assisted Ivor-Lewis oesophagectomy with intrathoracic hand-sewn anastomosis in the prone position. Int J Med Robot 2014;10:397-403. [Crossref] [PubMed]
- Zhang Y, Xiang J, Han Y, et al. Initial experience of robot-assisted Ivor-Lewis esophagectomy: 61 consecutive cases from a single Chinese institution. Dis Esophagus 2018; [Crossref] [PubMed]
- Visser E, van Rossum PSN, Ruurda JP, et al. Impact of Lymph Node Yield on Overall Survival in Patients Treated With Neoadjuvant Chemoradiotherapy Followed by Esophagectomy for Cancer: A Population-based Cohort Study in the Netherlands. Ann Surg 2017;266:863-9. [Crossref] [PubMed]
- Tachimori Y, Ozawa S, Numasaki H, et al. Efficacy of lymph node dissection by node zones according to tumor location for esophageal squamous cell carcinoma. Esophagus 2016;13:1-7. [Crossref] [PubMed]
- Udagawa H, Ueno M, Shinohara H, et al. The importance of grouping of lymph node stations and rationale of three-field lymphoadenectomy for thoracic esophageal cancer. J Surg Oncol 2012;106:742-7. [Crossref] [PubMed]
- Li B, Yang Y, Toker A, et al. International consensus statement on robot-assisted minimally invasive esophagectomy (RAMIE). J Thorac Dis 2020;12:7387-401. [Crossref] [PubMed]
- Akiyama Y, Iwaya T, Endo F, et al. Thoracoscopic esophagectomy with total meso-esophageal excision reduces regional lymph node recurrence. Langenbecks Arch Surg 2018;403:967-75. [Crossref] [PubMed]
- Anand S, Kalayarasan R, Chandrasekar S, et al. Minimally Invasive Esophagectomy with Thoracic Duct Resection Post Neoadjuvant Chemoradiotherapy for Carcinoma Esophagus-Impact on Lymph Node Yield and Hemodynamic Parameters. J Gastrointest Cancer 2019;50:230-5. [Crossref] [PubMed]
- Schurink B, Defize IL, Mazza E, et al. Two-Field Lymphadenectomy During Esophagectomy: The Presence of Thoracic Duct Lymph Nodes. Ann Thorac Surg 2018;106:435-9. [Crossref] [PubMed]
- Yoshida N, Nagai Y, Baba Y, et al. Effect of Resection of the Thoracic Duct and Surrounding Lymph Nodes on Short- and Long-Term and Nutritional Outcomes After Esophagectomy for Esophageal Cancer. Ann Surg Oncol 2019;26:1893-900. [Crossref] [PubMed]
- van Boxel GI, Kingma BF, Voskens FJ, et al. Robotic-assisted minimally invasive esophagectomy: past, present and future. J Thorac Dis 2020;12:54-62. [Crossref] [PubMed]
- Yang Y, Li B, Yi J, et al. Robot-assisted Versus Conventional Minimally Invasive Esophagectomy for Resectable Esophageal Squamous Cell Carcinoma: Early Results of a Multicenter Randomized Controlled Trial: the RAMIE Trial. Ann Surg 2022;275:646-53. [Crossref] [PubMed]
- van der Sluis PC, van der Horst S, May AM, et al. Robot-assisted Minimally Invasive Thoracolaparoscopic Esophagectomy Versus Open Transthoracic Esophagectomy for Resectable Esophageal Cancer: A Randomized Controlled Trial. Ann Surg 2019;269:621-30. [Crossref] [PubMed]
- Watanabe M, Kuriyama K, Terayama M, et al. Robotic-Assisted Esophagectomy: Current Situation and Future Perspectives. Ann Thorac Cardiovasc Surg 2023;29:168-76. [Crossref] [PubMed]
- Till BM, Grenda TR, Okusanya OT, et al. Robotic Minimally Invasive Esophagectomy. Thorac Surg Clin 2023;33:81-8. [Crossref] [PubMed]
- van der Sluis PC, Ruurda JP, van der Horst S, et al. Learning Curve for Robot-Assisted Minimally Invasive Thoracoscopic Esophagectomy: Results From 312 Cases. Ann Thorac Surg 2018;106:264-71. [Crossref] [PubMed]
- Esagian SM, Ziogas IA, Skarentzos K, et al. Robot-Assisted Minimally Invasive Esophagectomy versus Open Esophagectomy for Esophageal Cancer: A Systematic Review and Meta-Analysis. Cancers (Basel) 2022;14:3177. [Crossref] [PubMed]
- Huang Y, Zhao YL, Song JD. Early outcomes with robot-assisted vs. minimally invasive esophagectomy for esophageal cancer: a systematic review and meta-analysis of matched studies. Eur Rev Med Pharmacol Sci 2021;25:7887-97. [PubMed]
- Zhang Y, Dong D, Cao Y, et al. Robotic Versus Conventional Minimally Invasive Esophagectomy for Esophageal Cancer: A Meta-analysis. Ann Surg 2023;278:39-50. [Crossref] [PubMed]
- Magouliotis DE, Zotos PA, Fergadi MP, et al. Meta-analysis of robot-assisted versus video-assisted McKeown esophagectomy for esophageal cancer. Updates Surg 2022;74:1501-10. [Crossref] [PubMed]
- Chen H, Liu Y, Peng H, et al. Robot-assisted minimally invasive esophagectomy versus video-assisted minimally invasive esophagectomy: a systematic review and meta-analysis. Transl Cancer Res 2021;10:4601-16. [Crossref] [PubMed]
- Mederos MA, de Virgilio MJ, Shenoy R, et al. Comparison of Clinical Outcomes of Robot-Assisted, Video-Assisted, and Open Esophagectomy for Esophageal Cancer: A Systematic Review and Meta-analysis. JAMA Netw Open 2021;4:e2129228. [Crossref] [PubMed]
- Perry R, Barbosa JP, Perry I, et al. Short-term outcomes of robot-assisted versus conventional minimally invasive esophagectomy for esophageal cancer: a systematic review and meta-analysis of 18,187 patients. J Robot Surg 2024;18:125. [Crossref] [PubMed]
- Angeramo CA, Bras Harriott C, Casas MA, et al. Minimally invasive Ivor Lewis esophagectomy: Robot-assisted versus laparoscopic-thoracoscopic technique. Systematic review and meta-analysis. Surgery 2021;170:1692-701. [Crossref] [PubMed]
- Li XK, Xu Y, Zhou H, et al. Does robot-assisted minimally invasive oesophagectomy have superiority over thoraco-laparoscopic minimally invasive oesophagectomy in lymph node dissection? Dis Esophagus 2021;34:doaa050. [Crossref] [PubMed]
- Mehdorn AS, Möller T, Franke F, et al. Long-Term, Health-Related Quality of Life after Open and Robot-Assisted Ivor-Lewis Procedures-A Propensity Score-Matched Study. J Clin Med 2020;9:3513. [Crossref] [PubMed]
- Rolff HC, Ambrus RB, Belmouhand M, et al. Robot-Assisted Hybrid Esophagectomy Is Associated with a Shorter Length of Stay Compared to Conventional Transthoracic Esophagectomy: A Retrospective Study. Minim Invasive Surg 2017;2017:6907896. [Crossref] [PubMed]
- Shi J, Luo D, Weng H, et al. Optimally estimating the sample standard deviation from the five-number summary. Res Synth Methods 2020;11:641-54. [Crossref] [PubMed]
- Xu Y, Li XK, Cong ZZ, et al. Long-term outcomes of robotic-assisted versus thoraco-laparoscopic McKeown esophagectomy for esophageal cancer: a propensity score-matched study. Dis Esophagus 2021;34:doaa114. [Crossref] [PubMed]
- Yang Y, Zhang X, Li B, et al. Short- and mid-term outcomes of robotic versus thoraco-laparoscopic McKeown esophagectomy for squamous cell esophageal cancer: a propensity score-matched study. Dis Esophagus 2020;33:doz080. [Crossref] [PubMed]
- Gong L, Jiang H, Yue J, et al. Comparison of the short-term outcomes of robot-assisted minimally invasive, video-assisted minimally invasive, and open esophagectomy. J Thorac Dis 2020;12:916-24. [Crossref] [PubMed]
- Jeong DM, Kim JA, Ahn HJ, et al. Decreased Incidence of Postoperative Delirium in Robot-assisted Thoracoscopic Esophagectomy Compared With Open Transthoracic Esophagectomy. Surg Laparosc Endosc Percutan Tech 2016;26:516-22. [Crossref] [PubMed]
- Meredith KL, Maramara T, Blinn P, et al. Comparative Perioperative Outcomes by Esophagectomy Surgical Technique. J Gastrointest Surg 2020;24:1261-8. [Crossref] [PubMed]
- Osaka Y, Tachibana S, Ota Y, et al. Usefulness of robot-assisted thoracoscopic esophagectomy. Gen Thorac Cardiovasc Surg 2018;66:225-31. [Crossref] [PubMed]
- Sarkaria IS, Rizk NP, Goldman DA, et al. Early Quality of Life Outcomes After Robotic-Assisted Minimally Invasive and Open Esophagectomy. Ann Thorac Surg 2019;108:920-8. [Crossref] [PubMed]
- Yun JK, Chong BK, Kim HJ, et al. Comparative outcomes of robot-assisted minimally invasive versus open esophagectomy in patients with esophageal squamous cell carcinoma: a propensity score-weighted analysis. Dis Esophagus 2020;33:doz071. [Crossref] [PubMed]
- Espinoza-Mercado F, Imai TA, Borgella JD, et al. Does the Approach Matter? Comparing Survival in Robotic, Minimally Invasive, and Open Esophagectomies. Ann Thorac Surg 2019;107:378-85. [Crossref] [PubMed]
- He ZF, Zheng TL, Liu DL, et al. Comparison of short-term and long-term efficacy between robot-assisted and thoracoscopy-laparoscopy-assisted radical esophageal cancer surgery. Zhonghua Wei Chang Wai Ke Za Zhi 2020;23:390-5. [PubMed]
- Park S, Hwang Y, Lee HJ, et al. Comparison of robot-assisted esophagectomy and thoracoscopic esophagectomy in esophageal squamous cell carcinoma. J Thorac Dis 2016;8:2853-61. [Crossref] [PubMed]
- Goense L, van Dijk WA, Govaert JA, et al. Hospital costs of complications after esophagectomy for cancer. Eur J Surg Oncol 2017;43:696-702. [Crossref] [PubMed]
Cite this article as: Scheese D, Ramamoorthy BU, Bane B, Puig CA, Julliard WA, Shah RD. Robotic-assisted minimally invasive esophagectomy—technical considerations and outcomes. Ann Esophagus 2024;7:20.