Defining the learning curve for robotic-assisted esophagogastrectomy

Enhanced short-term outcomes after full robotic-assisted minimally invasive Ivor Lewis procedure compared to the hybrid approach

Since its introduction in the early 2000s, full robotic-assisted esophagectomy has remained a niche technique due to debated short-term outcomes. While some studies have reported improved postoperative outcomes with fully minimally invasive approaches compared to open or hybrid esophagectomy, the high rate of postoperative anastomotic leaks stands as a significant limitation. This study evaluates the short-term outcomes of robotic-assisted esophagectomy. We prospectively collected data on patients undergoing robotic-assisted Ivor Lewis esophagectomy for esophageal cancer at our center from January 2017 to October 2024. All patients underwent a robotic abdominal approach and were divided into two groups based on the thoracic approach: open thoracotomy (Hybrid-RAMIE) or robotic thoracoscopy (Full-RAMIE). We compared patients' characteristics and short-term postoperative outcomes. A total of 59 consecutive patients were included (27 in the Hybrid-RAMIE and 32 in the Full-RAMIE). Patients' characteristics were comparable. Both groups showed similar rates of severe morbidity (CD ≥ 3) although the rate of life-threatening complications (CD ≥ 4) was significantly lower in the Full-RAMIE group. The Hybrid-RAMIE group exhibited a significantly higher rate of grade IV complications (22.2%) compared to the Full-RAMIE group (0%, p = 0.005), primarily due to severe pulmonary infections. In the Full-RAMIE group, the majority of complications were grade IIIb, predominantly anastomotic leaks (29%). Most were managed non-operatively, and this rate declined significantly after the learning curve. Our findings indicates that Full-RAMIE is associated with better postoperative outcomes, including a lower risk of severe pulmonary infections. The anastomotic leak rate for Full-RAMIE significantly declined to 6% after the learning curve was surpassed.

Learning curve for robot-assisted Mckeown esophagectomy in patients with thoracic esophageal cancer

BACKGROUND

Robot-assisted minimally invasive esophagectomy (RAMIE) is an effective but technically demanding procedure. The learning curve of RAMIE has been studied to help guide training and to ensure its safe implementation.

METHODS

We retrospectively analyzed the first 83 consecutive patients with thoracic esophageal cancer who underwent robot-assisted minimally invasive Mckeown esophagectomy (RAMIE-MK) between May 2021 and August 2023, all performed by a single surgeon. A cumulative sum (CUSUM) analysis was applied to generate the learning curve of RAMIE-MK, based on total operation time.

RESULTS

The learning curve was divided into two phases based on the CUSUM analysis: Phase I, the initial learning phase (cases 1-27) and Phase II, the proficiency phase (cases 28-83). When comparing the proficiency phase with the initial phase, we observed a significant decreased trends in total operation time (329.6 ± 71.0 min vs 221.3 ± 33.5 min, P＜0.001). No significant differences were found in other clinicopathological characteristics.

CONCLUSION

For a surgeon experienced in open and thoracolaparoscopic esophagectomy, and who also received systematic robot-assisted thoracic surgery training on animals, a total of 27 cases were required to gain technical proficiency in RAMIE-MK.

Caseload per Year in Robotic-Assisted Minimally Invasive Esophagectomy: A Narrative Review

Esophageal surgery is deemed one of the most complex visceral operations. There is a well-documented correlation between higher caseload and better outcomes, with hospitals that perform more surgeries experiencing significantly lower mortality rates. The approach to caseload per year varies across different countries within Europe. Germany increased the minimum annual required caseload of complex esophageal surgeries from 10 to 26 starting in 2023. Furthermore, the new regulations present challenges for surgical training and staff recruitment, risking the further fragmentation of training programs. Enhanced regional cooperation is proposed as a solution to ensure comprehensive training. This review explores the benefits of robotic-assisted minimally invasive esophagectomy (RAMIE) in improving surgical precision and patient outcomes and aims to evaluate how the caseload per year influences the quality of patient care and the efficacy of surgical training, especially with the integration of advanced robotic techniques.

Introduction of a new surgical robot platform "hinotori™" in an institution with established da Vinci surgery™ for digestive organ operations

BACKGROUND

New platforms for robotic surgery have recently become available for clinical use; however, information on the introduction of new surgical robotic platforms compared with the da Vinci™ surgical system is lacking. In this study, we retrospectively determined the safe introduction of the new "hinotori™" surgical robot in an institution with established da Vinci surgery using four representative digestive organ operations.

METHODS

Sixty-one patients underwent robotic esophageal, gastric, rectal, and pancreatic operations using the hinotori system in our department in 2023. Among these, 22 patients with McKeown esophagectomy, 12 with distal gastrectomy, 11 with high- and low-anterior resection of the rectum, and eight with distal pancreatectomy procedures performed by hinotori were compared with historical controls treated using da Vinci surgery.

RESULTS

The console (cockpit) operation time for distal gastrectomy and rectal surgery was shorter in the hinotori group compared with the da Vinci procedure, and there were no significant differences in the console times for the other two operations. Other surgical results were almost similar between the two robot surgical groups. Notably, the console times for hinotori surgeries showed no significant learning curves, determined by the cumulative sum method, for any of the operations, with similar values to the late phase of da Vinci surgery.

CONCLUSIONS

This study suggests that no additional learning curve might be required to achieve proficient surgical outcomes using the new hinotori surgical robotic platform, compared with the established da Vinci surgery.

Exploring the learning curve in minimally invasive esophagectomy: a systematic review

Minimally invasive esophagectomy (MIE) has been shown to be superior to open esophagectomy with reduced morbidity, mortality, and comparable lymph node (LN) harvest. However, MIE is technically challenging. This study aims to perform a pooled analysis on the number of cases required to surmount the learning curve (LC), i.e. NLC in MIE. PubMed, Embase, Scopus, and the Cochrane Library were systematically searched for articles from inception to June 2022. Inclusion criteria were articles that reported LC in video-assisted MIE (VAMIE) and/or robot-assisted MIE (RAMIE). Poisson means (95% confidence interval [CI]) was used to determine NLC. Negative binomial regression was used for comparative analysis. There were 41 articles with 45 data sets (n = 7755 patients). The majority of tumors were located in the lower esophagus or gastroesophageal junction (66.7%, n = 3962/5939). The majority of data sets on VAMIE (n = 16/26, 61.5%) used arbitrary analysis, while the majority of data sets (n = 14/19, 73.7%) on RAMIE used cumulative sum control chart analysis. The most common outcomes reported were overall operating time (n = 30/45) and anastomotic leak (n = 28/45). Twenty-four data sets (53.3%) reported on LN harvest. The overall NLC was 34.6 (95% CI: 30.4-39.2), 68.5 (95% CI: 64.9-72.4), 27.5 (95% CI: 24.3-30.9), and 35.9 (95% CI: 32.1-40.2) for hybrid VAMIE, total VAMIE, hybrid RAMIE, and total RAMIE, respectively. NLC was significantly lower for total RAMIE compared to total VAMIE (incidence rate ratio: 0.52, P = 0.032). Studies reporting NLC in MIE are heterogeneous. Further studies should clearly define prior surgical experiences and assess long-term oncological outcomes using non-arbitrary analysis.

Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy

OBJECTIVE

To develop a deep learning algorithm for anatomy recognition in thoracoscopic video frames from robot-assisted minimally invasive esophagectomy (RAMIE) procedures using deep learning.

BACKGROUND

RAMIE is a complex operation with substantial perioperative morbidity and a considerable learning curve. Automatic anatomy recognition may improve surgical orientation and recognition of anatomical structures and might contribute to reducing morbidity or learning curves. Studies regarding anatomy recognition in complex surgical procedures are currently lacking.

METHODS

Eighty-three videos of consecutive RAMIE procedures between 2018 and 2022 were retrospectively collected at University Medical Center Utrecht. A surgical PhD candidate and an expert surgeon annotated the azygos vein and vena cava, aorta, and right lung on 1050 thoracoscopic frames. 850 frames were used for training of a convolutional neural network (CNN) to segment the anatomical structures. The remaining 200 frames of the dataset were used for testing the CNN. The Dice and 95% Hausdorff distance (95HD) were calculated to assess algorithm accuracy.

RESULTS

The median Dice of the algorithm was 0.79 (IQR = 0.20) for segmentation of the azygos vein and/or vena cava. A median Dice coefficient of 0.74 (IQR = 0.86) and 0.89 (IQR = 0.30) were obtained for segmentation of the aorta and lung, respectively. Inference time was 0.026 s (39 Hz). The prediction of the deep learning algorithm was compared with the expert surgeon annotations, showing an accuracy measured in median Dice of 0.70 (IQR = 0.19), 0.88 (IQR = 0.07), and 0.90 (0.10) for the vena cava and/or azygos vein, aorta, and lung, respectively.

CONCLUSION

This study shows that deep learning-based semantic segmentation has potential for anatomy recognition in RAMIE video frames. The inference time of the algorithm facilitated real-time anatomy recognition. Clinical applicability should be assessed in prospective clinical studies.

Learning curve for adoption of robot-assisted minimally invasive esophagectomy: a systematic review of oncological, clinical, and efficiency outcomes

BACKGROUND

Robot-assisted minimally invasive esophagectomy (RAMIE) is gaining increasing popularity as an operative approach. Learning curves to achieve surgical competency in robotic-assisted techniques have shown significant variation in learning curve lengths and outcomes. This study aimed to summarize the current literature on learning curves for RAMIE.

METHODS

A systematic review was conducted in line with PRISMA guidelines. Electronic databases PubMed, MEDLINE, and Cochrane Library were searched, and articles reporting on learning curves in RAMIE were identified and scrutinized. Studies were eligible if they reported changes in operative outcomes over time, or learning curves, for surgeons newly adopting RAMIE.

RESULTS

Fifteen studies reporting on 1767 patients were included. Nine studies reported on surgeons with prior experience of robot-assisted surgery prior to adopting RAMIE, with only four studies outlining a specified RAMIE adoption pathway. Learning curves were most commonly analyzed using cumulative sum control chart (CUSUM) and were typically reported for lymph node yields and operative times, with significant variation in learning curve lengths (18-73 cases and 20-80 cases, respectively). Most studies reported adoption without significant impact on clinical outcomes such as anastomotic leak; significant learning curves were more likely in studies, which did not report a formal learning or adoption pathway.

CONCLUSION

Reported RAMIE adoption phases are variable, with some authors suggesting significant impact to patients. With robust training through formal programmes or proctorship, however, others report RAMIE adoption without impact on clinical outcomes. A formalized adoption curriculum appears critical to prevent adverse effects on operative efficiency and patient care.

Introducing robotic oesophagectomy into an Australian practice: an assessment of the early procedural outcomes and learning curve

BACKGROUND

Robotic oesophagectomy (RAMIO) is a novel procedure in Australia and New Zealand. We aimed to report the early operative and clinical outcomes achieved during the introduction of RAMIO into the practice of a single Australian surgeon and benchmark these against outcomes of patients receiving conventional minimally invasive oesophagectomy (MIO) by the same surgeon.

METHODS

Data on all patients undergoing RAMIO, performed by a single high-volume Australian surgeon, were collected from a prospectively maintained database. Operative, clinical and surgical quality outcomes were benchmarked on a univariable basis against those of patients receiving MIO. Learning curves were computed using quadratic and linear regression of operating times on case-numbers and compared using Cox regression modelling.

RESULTS

290 patients (237 MIO, 53 RAMIO (47% Ivor-Lewis, 53% McKeon oesophagectomy)) were included. Compared with MIO, the median thoracic operating time was 20 min longer for RAMIO (P = 0.03). Following RAMIO, there was less blood loss (P < 0.01) and a shorter length of stay (P < 0.01).There were no differences in morbidity and quality of surgery following RAMIO compared with MIO. There were no deaths following RAMIO. Having progressed from MIO, the operating times for RAMIO improved after 22 cases compared with MIO (110 cases) (HR 0.70 (0.51-0.93), P = 0.01).

CONCLUSION

With careful implementation, RAMIO may be safely performed within the Australian setting and is associated with a modest increase in procedure duration, but less blood loss and shorter length of stay compared with conventional MIO.

Overall morbidity after total minimally invasive keyhole oesophagectomy versus hybrid oesophagectomy (the MICkey trial): study protocol for a multicentre randomized controlled trial

BACKGROUND

Oesophageal cancer (EC) is the sixth leading cause of cancer death worldwide. Oesophageal resection is the only curative treatment option for EC which is frequently performed via an abdominal and right thoracic approach (Ivor-Lewis operation). This 2-cavity operation is associated with a high risk of major complications. To reduce postoperative morbidity, several minimally invasive techniques have been developed that can be broadly classified into either hybrid oesophagectomy (HYBRID-E) via laparoscopic/robotic abdominal and open thoracic surgery or total minimally invasive oesophagectomy (MIN-E). Both, HYBIRD-E and MIN-E, compare favourable to open oesophagectomy. However, there is still an evidence gap comparing HYBRID-E with MIN-E with regard to postoperative morbidity.

METHODS

The MICkey trial is a multicentre randomized controlled superiority trial with two parallel study groups. A total of 152 patients with oesophageal cancer scheduled for elective oesophagectomy will be randomly assigned 1:1 to the control group (HYBRID-E) or to the intervention group (MIN-E). The primary endpoint will be overall postoperative morbidity assessed via the comprehensive complication index (CCI) within 30 days after surgery. Specific perioperative parameters, as well as patient-reported and oncological outcomes, will be analysed as secondary outcomes.

DISCUSSION

The MICkey trial will address the yet unanswered question whether the total minimally invasive oesophagectomy (MIN-E) is superior to the HYBRID-E procedure regarding overall postoperative morbidity.

TRIAL REGISTRATION

DRKS00027927 U1111-1277-0214. Registered on 4th July 2022.

Learning curve for inflatable mediastinoscopic and laparoscopic-assisted esophagectomy

OBJECTIVE

To identify the morbidity that is associated with the learning curve of inflatable mediastinoscopic and laparoscopic-assisted esophagectomy (IMLE), and investigate the strategies to ride out the early period.

METHODS

Our study included a retrospective series of 108 consecutive patients undergoing IMLE by a single surgeon with advanced training in minimally invasive esophageal surgery in independent practice at high-volume tertiary center from July 2017 to November 2020. The cumulative sum (CUSUM) method was used to analyze the learning curve. Patients were stratified into two groups in chronological order, defining the surgeon's early (Group 1: the first 27 cases) and late experience (Group 2: the next 81 cases). Intraoperative characteristics and short-term surgical outcomes were compared between the two groups.

RESULTS

A total of 108 patients were included. Three patients converted into thoracoscopic surgery. The number of patients with postoperative pulmonary infection was 16 (14.8%), and vocal cord palsy had occurred in 12 patients (11.1%). One patient died within 90 days after surgery. CUSUM plots revealed decreasing total operative time, thoracic procedure time, abdominal procedure time, assistant-adjustment time after patients 27, 17, 26, and 35, respectively.

CONCLUSION

IMLE is technically feasible, in terms of perioperative outcomes, for using as a radical surgery for thoracic esophageal cancer. For a surgeon experienced in minimally invasive esophageal surgery, experience of 27 cases is required to gain early proficiency of IMLE.

Why pay more for robot in esophageal cancer surgery?

Esophagectomy is the gold standard for the treatment of resectable esophageal cancer. Traditionally, it is performed through a laparotomy and a thoracotomy, and is associated with high rates of postoperative complications and mortality. The advent of robotic surgery has represented a technological evolution in the field of esophageal cancer treatment. Robot-assisted Minimally Invasive Esophagectomy (RAMIE) has been progressively widely adopted following the first reports on the safety and feasibility of this procedure in 2004. The robotic approach has better short-term postoperative outcomes than open esophagectomy, without jeopardizing oncologic radicality. The results of the comparison between RAMIE and conventional minimally invasive esophagectomy are less conclusive. This article will focus on the role of RAMIE in the current clinical scenario with particular attention to its possible benefits and perspectives.

Robot-assisted Ivor Lewis Esophagectomy (RAILE): A review of surgical techniques and clinical outcomes

In the past 20 years, robotic system has gradually found a place in esophagectomy which is a demanding procedure in the deep and narrow thoracic cavity containing crucial functional structures. Ivor Lewis esophagectomy (ILE) is a mainstream surgery type for esophagectomy and is widely accepted for its capability in lymphadenectomy and relatively mitigated trauma. As a minimally invasive technique, robot-assisted Ivor Lewis esophagectomy (RAILE) has been frequently compared with the video-assisted procedure and the traditional open procedure. However, high-quality evidence elucidating the advantages and drawbacks of RAILE is still lacking. In this article, we will review the surgical techniques, both short and long-term outcomes, the learning curve, and explicate the current progress and clinical efficacy of RAILE.

Initial Learning Curve and Stereotypical Use of Extra Arm During da Vinci Chest Procedures of McKeown Esophagectomy

Objective: McKeown esophagectomy facilitates extensive lymphadenectomy for the optimal management of esophageal cancer. Robot-assisted esophagectomy (RAE) was introduced in an attempt to reduce the incidence of postoperative complications. The da Vinci System has 3 active robotic arms in addition to the camera scope, and an extra robotic arm (ERA) is generally used to maintain a fine and stable operative field. However, the optimal use of an ERA has not been documented. In addition, the learning curve of the RAE using the da Vinci System remains controversial. In this study, we aimed to determine the optimal use of an ERA in association with the initial learning curve of robotic McKeown esophagectomy with extremely extensive lymphadenectomy. Methods: We reviewed 81 consecutive patients who underwent RAE. To determine whether stereotypical use of an ERA after establishment of its optimal use accounted for the learning curve, we measured the duration of 14 steps and the duration when performed with optimal use of an ERA in the corresponding step by reviewing video-recorded procedures. We then calculated the ratio as the degree of stereotypical use of the ERA during the da Vinci chest procedures. Results: The cumulative sum method showed that the learning curve required 27 cases of RAE. In addition, stereotypical use of the ERA was significantly associated with the learning curve of RAE. Conclusions: Establishment of optimal use of an ERA could help to accelerate the learning curve in da Vinci chest procedures during McKeown esophagectomy with extensive lymphadenectomy.

Automated Surgical-Phase Recognition for Robot-Assisted Minimally Invasive Esophagectomy Using Artificial Intelligence

BACKGROUND

Although a number of robot-assisted minimally invasive esophagectomy (RAMIE) procedures have been performed due to three-dimensional field of view, image stabilization, and flexible joint function, both the surgeons and surgical teams require proficiency. This study aimed to establish an artificial intelligence (AI)-based automated surgical-phase recognition system for RAMIE by analyzing robotic surgical videos.

METHODS

This study enrolled 31 patients who underwent RAMIE. The videos were annotated into the following nine surgical phases: preparation, lower mediastinal dissection, upper mediastinal dissection, azygos vein division, subcarinal lymph node dissection (LND), right recurrent laryngeal nerve (RLN) LND, left RLN LND, esophageal transection, and post-dissection to completion of surgery to train the AI for automated phase recognition. An additional phase ("no step") was used to indicate video sequences upon removal of the camera from the thoracic cavity. All the patients were divided into two groups, namely, early period (20 patients) and late period (11 patients), after which the relationship between the surgical-phase duration and the surgical periods was assessed.

RESULTS

Fourfold cross validation was applied to evaluate the performance of the current model. The AI had an accuracy of 84%. The preparation (p = 0.012), post-dissection to completion of surgery (p = 0.003), and "no step" (p < 0.001) phases predicted by the AI were significantly shorter in the late period than in the early period.

CONCLUSIONS

A highly accurate automated surgical-phase recognition system for RAMIE was established using deep learning. Specific phase durations were significantly associated with the surgical period at the authors' institution.

Transthoracic Esophagectomy: Hand-sewn Versus Side-to-side Linear-stapled Versus Circular-stapled Anastomosis: A Systematic Review and Meta-analysis

BACKGROUND

Three anastomotic techniques are mostly used to create an esophagogastric anastomosis in a transthoracic esophagectomy: hand-sewn (HS), side-to-side linear-stapled (SSLS), and circular-stapled (CS). The aim of this study was to compare surgical outcomes after HS, SSLS, and CS intrathoracic esophagogastric anastomosis.

MATERIALS AND METHODS

A systematic review using the MEDLINE database was performed to identify original articles analyzing outcomes after HS, SSLS, and CS esophagogastric anastomosis. The main outcome was an anastomotic leakage rate. Secondary outcomes included overall morbidity, major morbidity, and mortality. A meta-analysis of proportions and linear regression models were used to assess the effect of each anastomotic technique on the different outcomes.

RESULTS

A total of 101 studies comprising 12,595 patients were included; 8835 (70.1%) with CS, 2532 (20.1%) with HS, and 1228 (9.8%) with SSLS anastomosis. Anastomotic leak occurred in 10% [95% confidence interval (CI), 6%-15%], 9% (95% CI, 6%-13%), and 6% (95% CI, 5%-7%) of patients after HS, SSLS, and CS anastomosis, respectively. Risk of anastomotic leakage was significantly higher with HS anastomosis (odds ratio=1.73, 95% CI: 1.47-2.03, P<0.0001) and SSLS (odds ratio=1.68, 95% CI: 1.36-2.08, P<0.0001), as compared with CS. Overall morbidity (HS: 52% vs. SLSS: 39% vs. CS: 35%) and major morbidity (HS: 33% vs. CS: 19%) rates were significantly lower with CS anastomosis. Mortality rate was 4% (95% CI, 3%-6%), 2% (95% CI, 2%-3%), and 3% (95% CI, 3%-4%) after HS, SSLS, and CS anastomosis, respectively.

CONCLUSION

HS and SSLS intrathoracic esophagogastric anastomoses are associated with significantly higher rates of an anastomotic leak than CS anastomosis.

Robotic-assisted minimally invasive Ivor Lewis esophagectomy within the prospective multicenter German da Vinci Xi registry trial

Abstract

Purpose

Robotic-assisted minimally invasive esophagectomy (RAMIE) has become one standard approach for the operative treatment of esophageal tumors at specialized centers. Here, we report the results of a prospective multicenter registry for standardized RAMIE.

Methods

The German da Vinci Xi registry trial included all consecutive patients who underwent RAMIE at five tertiary university centers between Oct 17, 2017, and Jun 5, 2020. RAMIE was performed according to a standard technique using an intrathoracic circular stapled esophagogastrostomy.

Results

A total of 220 patients were included. The median age was 64 years. Total minimally invasive RAMIE was accomplished in 85.9%; hybrid resection with robotic-assisted thoracic approach was accomplished in an additional 11.4%. A circular stapler size of ≥28 mm was used in 84%, and the median blood loss and operative time were 200 (IQR: 80–400) ml and 425 (IQR: 335–527) min, respectively. The rate of anastomotic leakage was 13.2% (n=29), whereas the two centers with >70 cases each had rates of 7.0% and 12.0%. Pneumonia occurred in 19.5% of patients, and the 90-day mortality was 3.6%. Cumulative sum analysis of the operative time indicated the end of the learning curve after 22 cases.

Conclusions

High-quality multicenter registry data confirm that RAMIE is a safe procedure and can be reproduced with acceptable leak rates in a multicenter setting. The learning curve is comparably low for experienced robotic surgeons.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00423-022-02520-w.

Short-term outcomes of robot-assisted minimally invasive esophagectomy with extended lymphadenectomy for esophageal cancer compared with video-assisted minimally invasive esophagectomy: A single-center retrospective study

BACKGROUND

The safety and feasibility of robot-assisted minimally invasive esophagectomy (RAMIE) remain unclear. The aim of this study was to compare the short-term outcomes of RAMIE with extended lymphadenectomy and conventional minimally invasive esophagectomy (MIE) in order to investigate the safety and feasibility of RAMIE.

METHODS

A retrospective analysis of 87 patients who underwent minimally invasive esophagectomy at our institution between April 2018 and March 2020 was made, assigning 22 in the RAMIE group and 65 in the MIE group. Short-term clinical outcomes and clinical baseline data were compared.

RESULTS

The baseline characteristics were comparable. No significant difference in median thoracic phase blood loss and median number of dissected mediastinal lymph nodes were observed. The median operative time of thoracic approach was significantly longer in the RAMIE group than the MIE group (305 minutes [221-397] vs 227 minutes [133-365], P < .0001). With respect to postoperative complications such as recurrent laryngeal nerve paralysis (Clavien-Dindo ≥ grade II) (RAMIE 4.6% vs MIE 17%, P = .11) and postoperative pneumonia (Clavien-Dindo ≥ grade III) (RAMIE 9% vs MIE 23%, P = .13), no significant difference was observed. The patients in the RAMIE group had a better postoperative swallowing function (P = .023) and were able to start oral food intake significantly earlier (P = .007). The median hospital stay was significantly shorter in the RAMIE group than in the MIE (23 days vs 35 days, P = .009).

CONCLUSIONS

RAMIE with extended lymphadenectomy was safe and feasible for esophageal cancer and resulted in improved postoperative swallowing function and shorter postoperative hospital stay.

Safe and Appropriate Minimally Invasive and Robotic Esophagectomy in a Community Cancer Center

OBJECTIVES

Minimally invasive esophagectomy is a technically challenging procedure that been associated with better outcomes at high-volume tertiary care centers. Louisiana is one of the most impoverished states, and travel to a "destination center" is not an option for many patients. We hypothesize that patients can obtain excellent surgical outcomes following MIE in a comprehensive community cancer center.

METHODS

We identified all patients who underwent totally robotic MIE by a single surgeon at our center from July 2018 to November 2020. All cases were performed using totally robotic Ivor Lewis technique with intrathoracic isoperistaltic esophagogastrostomy. Incidence, demographics, treatment, and outcomes were compared before and after first 10 cases using Student's t-test.

RESULTS

We identified 21 patients: 16 male and 5 female. Mean age 65 (49-85). 19 patients underwent MIE for malignancy; 18 of these received neoadjuvant therapy. OR time decreased following the first 10 cases (502 vs. 408 minutes, P = 0.0127). Average lymph node harvest was 14 (4-23 nodes). Positive margin rate was 0%. Mean length of stay trended towards a decrease after the first 10 cases (11 vs. 9 days, P = NS). There were no leaks or strictures. Thirty-day readmission was five patients. Ninety-day mortality was 0%.

CONCLUSION

These outcomes rival those of high-volume referral centers and demonstrate that totally robotic MIE can be performed with excellent outcomes in community center. These data call into question the need for all patients to travel to "destination centers" to receive complex oncologic surgery.

Double-Docking Technique, an Optimized Process for Intrathoracic Esophagogastrostomy in Robot-Assisted Ivor Lewis Esophagectomy

Background

Though robotic Ivor Lewis esophagectomy has been increasingly applied, intrathoracic esophagogastrostomy is still a technical barrier. In this retrospective study, we introduced a double-docking technique for intrathoracic esophagogastrostomy to optimize surgical exposure and facilitate intrathoracic anastomosis. Moreover, we compared the clinical outcomes between the double-docking technique and anastomosis with a single-docking procedure in robotic Ivor Lewis esophagectomy.

Methods

From March 2017 to September 2020, the clinical data of 68 patients who underwent robotic Ivor Lewis esophagectomy were reviewed, including 23 patients who underwent the double-docking technique (double-docking group) and 45 patients who underwent single-docking robotic esophagectomy (single-docking group). All patients were diagnosed with esophageal cancer or gastro-esophageal junction by biopsy before surgery. The technical details of the double-docking technique are described in this article.

Results

There was no difference in the patient demographics data between the two groups. The median surgical time in the double-docking group was slightly shorter than in the classic group without statistical difference (380 vs. 395 min, p = 0.368). In the double-docking group, the median blood loss was 90 mL, the median number of lymph nodes harvested was 17, and the R0 resection rates were 100% (23/23). There were no differences in the surgical outcomes between the two groups.

Conclusions

Based on our experience, the double-docking technique provides good surgical exposure when fashioning anastomosis, and such a technique does not increase the surgical time. Therefore, we believe that the double-docking technique is a safe and effective method for intrathoracic esophagogastrostomy while providing good exposure and ensuring the convenience and reliability of intrathoracic anastomosis.

Surgical outcomes after totally minimally invasive Ivor Lewis esophagectomy. A systematic review and meta-analysis

BACKGROUND

A transthoracic esophagectomy is associated with high rates of morbidity. Minimally invasive esophagectomy has emerged to decrease such morbidity. The aim of this study was to accurately determine surgical outcomes after totally minimally invasive Ivor-Lewis Esophagectomy (TMIE).

METHODS

A systematic literature search was performed to identify original articles analyzing patients who underwent TMIE. Main outcomes included overall morbidity, major morbidity, pneumonia, arrhythmia, anastomotic leak, chyle leak, and mortality. A meta-analysis was conducted to estimate the overall weighted proportion and its 95% confidence interval (CI) for each analyzed outcome.

RESULTS

A total of 5619 patients were included for analysis; 4781 (85.1%) underwent a laparoscopic/thoracoscopic esophagectomy and 838 (14.9%) a robotic-assisted esophagectomy. Mean age of patients was 63.5 (55-67) years and 75.8% were male. Overall morbidity and major morbidity rates were 39% (95% CI, 33%-45%) and 20% (95% CI, 13%-28%), respectively. Postoperative pneumonia and arrhythmia rates were 10% (95% CI, 8%-13%) and 12% (95% CI, 8%-17%), respectively. Anastomotic leak rate across studies was 8% (95% CI, 6%-10%). Chyle leak rate was 3% (95% CI, 2%-5%). Mortality rate was 2% (95% CI, 2%-2%). Median ICU stay and length of hospital stay were 2 (1-4) and 11.2 (7-20) days, respectively.

CONCLUSIONS

Totally minimally invasive Ivor-Lewis esophagectomy is a challenging procedure with high morbidity rates. Strategies to enhance postoperative outcomes after this operation are still needed.

Learning curve for robot-assisted Ivor Lewis esophagectomy

This study aimed to demonstrate the learning curve of robot-assisted minimally invasive esophagectomy (RAMIE). A retrospective analysis of the first 124 consecutive patients who underwent RAMIE with intrathoracic anastomosis (Ivor Lewis) by a single surgeon between May 2015 and August 2020 was performed. An risk-adjusted cumulative sum (RA-CUSUM) analysis was applied to generate a learning curve of RAMIE considering the major complication rate, which reflected the technical proficiency. The overall 30-day morbidity rate was 38.7%, while the major complication rate was 25.8%. The learning curve was divided into two phases based on the RA-CUSUM analysis: phase I, the initial learning phase (cases 1-51) and phase II, the proficiency phase (cases 52-124). As we compared the proficiency phase with the initial learning phase, significantly decreased trends were observed in relation to the major complication rate (37.3% vs. 18.7%, P = 0.017), total operation time (330.9 ± 55.6 vs. 267.3 ± 39.1 minutes, P < 0.001), and length of hospitalization (10 [IQR, 9-14] days vs. 9 [IQR, 8-11] days, P = 0.034). In conclusion, the learning curve of RAMIE consisted of two phases, and at least 51 cases were required to gain technical proficiency.

INFLUENCE OF MINIMALLY INVASIVE LAPAROSCOPIC EXPERIENCE SKILLS ON ROBOTIC SURGERY DEXTERITY

Background:

It is unclear if there is a natural transition from laparoscopic to robotic surgery with transfer of abilities.

Aim:

To measure the performance and learning of basic robotic tasks in a simulator of individuals with different surgical background.

Methods:

Three groups were tested for robotic dexterity: a) experts in laparoscopic surgery (n=6); b) experts in open surgery (n=6); and c) non-medical subjects (n=4). All individuals were aged between 40-50 years. Five repetitions of four different simulated tasks were performed: spatial vision, bimanual coordination, hand-foot-eye coordination and motor skill.

Results:

Experts in laparoscopic surgery performed similar to non-medical individuals and better than experts in open surgery in three out of four tasks. All groups improved performance with repetition.

Conclusion:

Experts in laparoscopic surgery performed better than other groups but almost equally to non-medical individuals. Experts in open surgery had worst results. All groups improved performance with repetition.

Evaluation of the learning curve for robot-assisted rectal surgery using the cumulative sum method

BACKGROUND

There is no clear evidence on the number of cases required to master the techniques required in robot-assisted surgery for different surgical fields and techniques. The purpose of this study was to clarify the learning curve of robot-assisted rectal surgery for malignant disease by surgical process.

METHOD

The study retrospectively analyzed robot-assisted rectal surgeries performed between April 2014 and July 2020 for which the operating time per process was measurable. The following learning curves were created using the cumulative sum (CUSUM) method: (1) console time required for total mesorectal excision (CUSUM tTME), (2) time from peritoneal incision to inferior mesenteric artery dissection (CUSUM tIMA), (3) time required to mobilize the descending and sigmoid colon (CUSUM tCM), and (4) time required to mobilize the rectum (CUSUM tRM). Each learning curve was classified into phases 1-3 and evaluated. A fifth learning curve was evaluated for robot-assisted lateral lymph node dissection (CUSUM tLLND).

RESULTS

This study included 149 cases. Phase 1 consisted of 32 cases for CUSUM tTME, 30 for CUSUM tIMA, 21 for CUSUM tCM, and 30 for CUSUM tRM; the respective numbers were 54, 48, 45, and 61 in phase 2 and 63, 71, 83, and 58 in phase 3. There was no significant difference in the number of cases in each phase. Lateral lymph node dissection was initiated in the 76th case where robot-assisted rectal surgery was performed. For CUSUM tLLND, there were 12 cases in phase 1, 6 in phase 2, and 7 cases in phase 3.

CONCLUSIONS

These findings suggest that the learning curve for robot-assisted rectal surgery is the same for all surgical processes. Surgeons who already have adequate experience in robot-assisted surgery may be able to acquire stable technique in a smaller number of cases when they start to learn other techniques.

Minimally invasive Ivor Lewis esophagectomy: Robot-assisted versus laparoscopic-thoracoscopic technique. Systematic review and meta-analysis

BACKGROUND

Evidence comparing conventional minimally invasive esophagectomy (CMIE) via laparoscopy and thoracoscopy with robot-assisted minimally invasive esophagectomy (RAMIE) is scarce. The aim of this meta-analysis was to compare surgical outcomes after CMIE and RAMIE with an intrathoracic anastomosis.

METHODS

A systematic literature search was performed to identify original articles analyzing outcomes after CMIE and RAMIE. Main surgical outcomes included operative time, intraoperative blood loss, anastomotic leak rates, pneumonia, overall morbidity, length of stay (LOS), and 30-day mortality. Oncologic outcomes included lymph node yield and R0 resections rates. A meta-analysis of proportions and linear regression models were used to assess the effect of each procedure on the different outcomes.

RESULTS

A total of 6,249 patients were included for analysis; 5,275 (84%) underwent CMIE and 974 (16%) RAMIE. Robotic esophagectomy had longer operative time and less intraoperative blood loss. Anastomotic leakage rates were similar with both approaches. Patients undergoing RAMIE had significantly lower rates of postoperative pneumonia (OR 0.46, 95% CI 0.35-0.61, P < .0001) and overall morbidity (OR 0.67, 95% CI 0.58-0.79, P < .0001). Median LOS was similar in both procedures (RAMIE: 12.1 versus CMIE: 11.9 days, P = .64). Similar mortality rates were found after RAMIE and CMIE (OR 0.69, 95% CI 0.34-1.38, P = .29). Lymph node yield was similar in both procedures, but RAMIE was associated with higher rates of R0 resection (OR 2.84, 95% CI 1.53-5.26, P < .001).

CONCLUSION

Patients undergoing robotic esophagectomy have less intraoperative blood loss, lower rates of postoperative pneumonia, reduced overall morbidity, and higher rates of R0 resections, as compared with those undergoing a laparoscopic-thoracoscopic esophageal resection.

Current status of robot-assisted minimally invasive esophagectomy: what is the real benefit?

Robot-assisted minimally invasive esophagectomy (RAMIE) for esophageal cancer has been performed increasingly frequently over the last few years. Robotic systems with articulated devices and tremor filtration allow surgeons to perform such procedures more meticulously than by hand. The feasibility of RAMIE has been demonstrated in several retrospective comparative studies, which showed similar short-term outcomes to conventional minimally invasive esophagectomy (cMIE). Considering the number of harvested lymph nodes, RAMIE may be superior to cMIE in terms of left upper mediastinal lymph node dissection. However, whether or not the addition of a robotic system to cMIE can help improve perioperative and oncological outcomes remains unclear. Given the lack of established evidence from randomized controlled trials, we must await the results of ongoing studies to reach any meaningful conclusions. Further advancements in robotic platforms, as well as the reduction in medical expenses, will be essential to demonstrate the real benefit of RAMIE.

Learning curves in minimally invasive esophagectomy: A systematic review and evaluation of benchmarking parameters

BACKGROUND

Minimally invasive techniques are increasingly used in the treatment of esophageal cancer. The learning curve for minimally invasive esophagectomy is variable and can impact patient outcomes. The aim of this study was to review the current evidence on learning curves in minimally invasive esophagectomy and identify which parameters are used for benchmarking.

METHODS

A search of the major reference databases (PubMed, Medline, Cochrane) was performed with no time limits up to February 2020. Results were screened in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Studies were included if an assessment of the learning curve was reported on, regardless of which (if any) statistical method was used.

RESULTS

Twenty-nine studies comprising 3,741 patients were included. Twenty-two studies reported on a combination of thoracoscopic, hybrid, and total minimally invasive esophagectomy, 6 studies reported robotic-assisted minimally invasive esophagectomy alone, and 1 study evaluated both robotic-assisted minimally invasive esophagectomy and thoracoscopic esophagectomies. Operating time was the most frequently used parameter to determine learning curve progression (23/39 studies), with number of resected lymph nodes, morbidity, and blood loss also frequently used. Learning curves were found to plateau at 7 to 60 cases for thoracoscopic esophagectomy, 12 to 175 cases for total and thoracoscopic/hybrid esophagectomy, and 9 to 85 cases for robotic-assisted minimally invasive esophagectomy.

CONCLUSION

Multiple parameters are employed to gauge minimally invasive esophagectomy learning curve progression. However, there are no validated or approved sets of outcomes. Further work is required to determine the optimum parameters that should be used to ensure best patient outcomes and required length of proctoring.

Technique of robotic esophagectomy

Robotic surgery continues to grow in thoracic surgery, and currently plays an evolving role in esophagectomy. Robotic assisted minimally invasive esophagectomy (RAMIE) has continued to expand, with many institutions adapting the technique. As the overall experience continues to grow, new data is emerging in its support. We present our approach to this operation.

Risk of chyle leak after robotic versus video-assisted thoracoscopic esophagectomy

BACKGROUND

We investigate the incidence and risk factors for post-operative outcomes including chyle leak following minimally invasive esophagectomy (MIE).

METHODS

Patients undergoing MIE from May 2016 until August 2020 were prospectively followed. Outcomes of robotic and video-assisted thoracoscopic surgery (VATS) esophagectomy were analyzed.

RESULTS

347 esophagectomies were performed: 70 cases were done robotically by 2 surgeons and 277 by VATS by 14 surgeons. Patients had similar demographics, surgical technique, length of stay (LOS), and re-operation rates. Overall complication rates between robotic and VATS MIE were statistically similar (61% vs. 50%; p = 0.082). The majority of complications for either VATS (41.5%) or robotic-assisted minimally invasive esophagectomy (RAMIE) (51.4%) were grade II. Nineteen patients developed a chyle leak. Patients with a chyle leak were similar in age, gender, and hospital LOS (all p > 0.05), but were more likely to undergo a three-hole or robotic esophagectomy (both p < 0.05) as well as have higher rehabilitation requirements on discharge (26% vs. 10%; p = 0.05). Among the two surgeons who each performed > 20 robotic esophagectomies (n = 70), nine chyle leaks occurred. Rates varied by surgeon (7 vs. 2; p = 0.003). Lower leak rates occurred in the surgeon with more robotic esophagectomy experience (n = 47 vs. 23). Patients were similar in age, and gender (p > 0.05), but those with a chyle leak were more likely to undergo three-hole esophagectomies, prophylactic thoracic duction ligations, undergo the abdominal portion via laparotomy, and not have a prophylactic omental flap (all p < 0.05).

CONCLUSION

Robotic and VATS esophagectomy have similar rates of re-operation, length of stay, discharge needs and complications. Differences in outcomes between VATS and Robotic esophagectomy appears to be related to surgeon experience with the robot but may also be associated with techniques such as anastomotic height, omental flap utilization and performance of laparoscopy.

A structured training pathway to implement robot-assisted minimally invasive esophagectomy: the learning curve results from a high-volume center

To ensure safe implementation of robot-assisted minimally invasive esophagectomy (RAMIE), the learning process should be optimized. This study aimed to report the results of a surgeon who implemented RAMIE in a German high-volume center by following a tailored and structured training pathway that involved proctoring. Consecutive patients who underwent RAMIE during the course of the program were included from a prospective database. A single surgeon, who had prior experience in conventional MIE, performed all RAMIE procedures. Cumulative sum (CUSUM) learning curves were plotted for the thoracic operating time and intraoperative blood loss. Perioperative outcomes were compared between patients who underwent surgery before and after a learning curve plateau occurred. Between 2017 and 2018, the adopting center adhered to the structured training pathway, and a total of 70 patients were included in the analysis. The CUSUM learning curves showed plateaus after 22 cases. In consecutive cases 23 to 70, the operating time was shorter for both the thoracic phase (median 215 vs. 249 minutes, P = 0.001) and overall procedure (median 394 vs. 440 minutes, P = 0.005), intraoperative blood loss was less (median 210 vs. 400 milliliters, P = 0.029), and lymph node yield was higher (median 32 vs. 23 nodes, P = 0.001) when compared to cases 1 to 22. No significant differences were found in terms of conversion rates, postoperative complications, length of stay, completeness of resection, or mortality. In conclusion, the structured training pathway resulted in a short and safe learning curve for RAMIE in this single center's experience. As the pathway seems effective in implementing RAMIE without compromising the early oncological outcomes and complication rates, it is advised for surgeons who are wanting to adopt this technique.

A standardized approach for the thoracic dissection in robotic-assisted minimally invasive esophagectomy (RAMIE)

Robot-assisted minimally invasive esophagectomy (RAMIE) is increasingly being adopted as the preferred surgical treatment for esophageal cancer, as it is superior to open esophagectomy and a good alternative to conventional minimally invasive esophagectomy. This paper addresses the technical details of the thoracoscopic phase of RAMIE, including the operating room set-up, patient positioning, port placement, and surgical steps.

Technical details of the hand-sewn and circular-stapled anastomosis in robot-assisted minimally invasive esophagectomy

The circular mechanical and hand-sewn intrathoracic anastomosis are most often used in robot-assisted minimally invasive esophagectomy (RAMIE). The aim of this study was to describe the technical details of both techniques that were pioneered in two high volume centers for RAMIE. A prospectively maintained database was used to identify patients with esophageal cancer who underwent RAMIE with intrathoracic anastomosis. The primary outcome was anastomotic leakage, which was analyzed using a moving average curve. For the hand-sewn anastomosis, video recordings were reviewed to evaluate number of sutures and distances between the anastomosis and the longitudinal staple line or gastric conduit tip. Between 2016 and 2019, a total of 68 patients with a hand-sewn anastomosis and 60 patients with a circular-stapled anastomosis were included in the study. For the hand-sewn anastomosis, the moving average curve for anastomotic leakage (including grade 1-3) started at a rate of 40% (cases 1-10) and ended at 10% (cases 59-68). For the circular-stapled anastomosis, the moving average started at 10% (cases 1-10) and ended at 20% (cases 51-60). This study showed the technical details and refinements that were applied in developing two different anastomotic techniques for RAMIE. Results markedly improved during the period of development with specific changes in technique for the hand-sewn anastomosis. The circular-stapled anastomosis showed a more stable rate of performance.

Robot-assisted minimally invasive esophagectomy for esophageal cancer: Meticulous surgery minimizing postoperative complications

Minimally invasive esophagectomy (MIE) has been reported to reduce postoperative complications especially pulmonary complications and have equivalent long-term survival outcomes as compared to open esophagectomy. Robot-assisted minimally invasive esophagectomy (RAMIE) using da Vinci surgical system (Intuitive Surgical, Sunnyvale, USA) is rapidly gaining attention because it helps surgeons to perform meticulous surgical procedures. McKeown RAMIE has been preferably performed in East Asia where squamous cell carcinoma which lies in more proximal esophagus than adenocarcinoma is a predominant histological type of esophageal cancer. On the other hand, Ivor Lewis RAMIE has been preferably performed in the Western countries where adenocarcinoma including Barrett esophageal cancer is the most frequent histology. Average rates of postoperative complications have been reported to be lower in Ivor Lewis RAMIE than those in McKeown RAMIE. Ivor Lewis RAMIE may get more attention for thoracic esophageal cancer. The studies comparing RAMIE and MIE where recurrent nerve lymphadenectomy was thoroughly performed reported that the rate of recurrent nerve injury is lower in RAMIE than in MIE. Recurrent nerve injury leads to serious complications such as aspiration pneumonia. It seems highly probable that RAMIE is beneficial in performing recurrent nerve lymphadenectomy. Surgery for esophageal cancer will probably be more centralized in hospitals with surgical robots, which enable accurate lymph node dissection with less complications, leading to improved outcomes for patients with esophageal cancer. RAMIE might occupy an important position in surgery for esophageal cancer.

Robotic resection for esophageal cancer

Background

In the surgical treatment of esophageal cancer, complete tumor resection is the most important factor and determines long-term survival. With an increase in robotic expertise in other fields of surgery, robotic-assisted minimally invasive esophagectomy (RAMIE) was born. Currently, there is a lack of convincing data on the extent of expected benefits (perioperative and oncologic outcomes and/or quality of life). Some evidence exists that patients’ overall quality of life and physical function improves, with less fatigue and pain 3 months after surgery. We aimed to review the available literature regarding robotic esophagectomy, compare perioperative, oncologic, and quality of life outcomes with open and minimally invasive approaches, and give a brief overview of our standardized four-arm RAMIE technique and explore future directions.

Methods

A Medline (PubMed) search was conducted including the following key words: esophagectomy, minimally invasive esophagectomy, robotic esophagectomy, Ivor Lewis and McKeown. We present the history, different techniques used, outcomes, and the standardization of robotic esophagectomy.

Results

Robotic esophagectomy offers a steeper learning curve with fewer complications but comparable oncological results compared to conventional minimally invasive esophagectomy.

Conclusions

Available studies suggest that RAMIE is associated with benefits regarding length of stay, clinical outcomes, and quality of life—if patients are treated in an experienced center with a standardized technique for robotic esophagectomy—making it a potentially beneficial tool in the treatment of esophageal cancer. However, center-wide standardization and prospective data collection will be a necessity to prove superiority of robotic esophagectomy.

Lymph node dissection around left recurrent laryngeal nerve: robot-assisted vs. video-assisted McKeown esophagectomy for esophageal squamous cell carcinoma

OBJECTIVE

This study investigated the advantages of robot-assisted McKeown esophagectomy (RAME) for extensive superior mediastinal lymph node dissection (LND) versus video-assisted McKeown esophagectomy (VAME).

METHODS

The cases of 184 consecutive esophageal squamous cell carcinoma (ESCC) patients who underwent minimally invasive McKeown esophagectomy (109 with RAME, 75 with VAME) performed by a single surgical group between June 2017 and December 2019 were retrospectively reviewed.

RESULTS

Overall, 59.8% (110/181) patients (70 treated with RAME, 40 treated with VAME; 64.2% vs. 53.3%, respectively, p = 0.139) underwent complete LND around the left recurrent laryngeal nerve (RLN) by pathological assessment. Cumulative sum plots showed increased numbers of LND around the left RLN (3.6 ± 2.0 vs. 5.4 ± 2.7, p = 0.008) and a decreased incidence of recurrent nerve injury (27.9% vs. 7.4%, p = 0.037) after RAME learning curve. Despite similar overall LND results (30.6 ± 10.2 vs. 28.1 ± 10.2, p > 0.05), RAME yielded more LND (5.4 ± 2.7 vs. 4.4 ± 2.2, p = 0.016) and a greater proportion of lymph node metastases (37.0% vs. 7.5%) around the left RLN but induced a lower proportion of recurrent nerve injuries (7.4% vs. 22.5%, p = 0.178) compared with VAME. Further analysis revealed that the complete LND around the left RLN was associated with recurrent nerve injury in the RAME (20.0% vs. 5.1%, p = 0.035) and VAME (22.5% vs. 5.7%, p = 0.041) groups but did not affect other clinical outcomes including surgical duration, intraoperative blood loss, postoperative intensive care unit stay, hospital stay, and other complications.

CONCLUSIONS

For patients with ESCC, RAME has great advantages in LND around the left RLN and recurrent nerve protection after learning curve of robotic esophagectomy.

Outcomes of robotic esophagectomies for esophageal cancer by hospital volume: an analysis of the national cancer database

BACKGROUND

Robotic minimally invasive esophagectomies (RMIE) have been associated with superior outcomes; however, it is unclear if these are specific to robotic technique or are present only at high-volume institutions. We hypothesize that low-volume RMIE centers would have inferior outcomes.

METHODS

The National Cancer Database (NCDB) identified patients receiving RMIE from 2010 to 2016. Based on the total number of RMIE performed by each hospital system, the lowest quartile performed ≤ 9 RMIE over the study period. Ninety-day mortality, number of lymph nodes evaluated, margins status, unplanned readmissions, length of stay (LOS), and overall survival were compared. Regression models were used to account for confounding.

RESULTS

1565 robotic esophagectomies were performed by 212 institutions. 173 hospitals performed ≤ 9 RMIE (totaling 478 operations over the study period, 30.5% of RMIE) and 39 hospitals performed > 9 RMIE (1087 operations, 69.5%). Hospitals performing > 9 RMIE were more likely to be academic centers (90.4% vs 66.2%, p < 0.001), have patients with advanced tumor stage (65.3% vs 59.8%, p = 0.049), andadministered preoperative radiation (72.8% vs 66.3%, p = 0.010). There were no differences based on demographics, nodal stage, or usage of preoperative chemotherapy. On multivariable regressions, hospitals performing ≤ 9 RMIE were associated with a greater likelihood of experiencing a 90-day mortality, a reduced number of lymph nodes evaluated, and a longer LOS; however, there was no association with rates of positive margins or unplanned readmissions. Median overall survival was decreased at institutions performing ≤ 9 RMIE (37.3 vs 51.5 months, p < 0.001). Multivariable Cox regression demonstrated an association with poor survival comparing hospitals performing ≤ 9 to > 9 RMIE (HR 1.327, p = 0.018).

CONCLUSION

Many robotic esophagectomies occur at institutions which performed relatively few RMIE and were associated with inferior short- and long-term outcomes. These data argue for regionalization of robotic esophagectomies or enhanced training in lower volume hospitals.

Current Issues in Minimally Invasive Esophagectomy

Minimally invasive esophagectomy (MIE) was first introduced in the 1990s. Currently, it is a widely accepted surgical approach for the treatment of esophageal cancer, as it is an oncologically sound procedure; its advantages when compared to open procedures, including reduction in postoperative complications, reduction in the length of hospital stay, and improvement in quality of life, are well documented. However, debates are still ongoing about the safety and efficacy of MIE. The present review focuses on some of the current issues related to conventional MIE and robot-assisted MIE based on evidence from the current literature.

Conversion to open surgery during minimally invasive esophagectomy portends worse short-term outcomes: an analysis of the National Cancer Database

OBJECTIVE

The objectives were to determine factors associated with conversion to open surgery in patients with esophageal cancer who underwent minimally invasive esophagectomy (MIE, including laparo-thoracoscopic and robotic) and the impact of conversion to open surgery on patient outcomes.

METHODS

We included patients from the National Cancer Database with esophageal and gastroesophageal junction cancer who underwent MIE from 2010 to 2015. Patient-, tumor-, and facility-related characteristics as well as short-term and oncologic outcomes were compared between patients who were converted to open surgery and those who underwent successful MIE without conversion to open surgery. Multivariable logistic regression models were used to analyze risk factors for conversion to open surgery from attempted MIE.

RESULTS

7306 patients underwent attempted MIE. Of these patients, 82 of 1487 (5.2%) robotic-assisted esophagectomies were converted to open, compared to 691 of 5737 (12.0%) laparo-thoracoscopic esophagectomies (p < 0.001). Conversion rates decreased significantly over the study period (ptrend = 0.010). Patient age, tumor size, and nodal involvement were independently associated with conversion. Facility minimally invasive cumulative volume and robotic approach were associated with decreased conversion rates. Patients whose MIEs were converted had increased 90-day mortality [Odds Ratio (OR) 1.49; 95% Confidence Interval (CI) 1.10, 2.02], prolonged hospital stay (OR 1.39; 95% CI 1.17, 1.66), and higher rates of unplanned readmission (OR 1.67; 95% CI 1.27, 2.20). No significant differences were found in surgical margins or number of lymph nodes harvested.

CONCLUSION

Patients undergoing attempted MIE requiring conversion to open surgery had significantly worse short-term outcomes including postoperative mortality. Patient factors and hospital experience contribute to conversion rates. These findings should inform surgeons and patients considering esophagectomy for cancer.

Open, Minimally Invasive, and Robotic Approaches for Esophagectomy: What Is the Approach Algorithm?

Esophageal cancer requires a multimodality treatment approach, with surgical resection a key component in many cases. When it comes to esophagectomy, several approaches and techniques exist, including transhiatal versus transthoracic and open versus minimally invasive. Each approach has its associated risks and advantages. When determining the optimal approach and technique, several variables need to be considered. The key variables include patient and tumor characteristics, as well as surgeon comfort and experience with each approach. Regardless of the approach, the goal should remain the same, that is, performing a safe operation without compromise of oncologic principles.

Assessment of Quality Outcomes and Learning Curve for Robot-Assisted Minimally Invasive McKeown Esophagectomy

BACKGROUND

This study aimed to identify the results of the quality assessment and the learning curve of robot-assisted minimally invasive McKeown esophagectomy (RAMIE-MK).

METHODS

The study retrospectively reviewed the data of 400 consecutive patients with esophageal cancer who underwent RAMIE-MK by a single surgeon from November 2015 to March 2019. Cumulative summation analysis of the learning curve was performed. The patients were divided into decile cohorts of 40 cases to minimize demographic deviations and to maximize the power of detecting statistically significant changes in performance.

RESULTS

The 90-day mortality rate for all the patients was 0.5% (2 cases). The authors' experience was divided into the ascending phase (40 cases), the plateau phase (175 cases), and the descending phase (185 cases). After 40 cases, significant improvements in operative time (328 vs. 251 min; P = 0.019), estimated blood loss (350 vs. 200 ml; P = 0.031), and conversion rates (12.5% vs. 2.5%; P < 0.001) were observed. After 80 cases, a decrease in the rates of anastomotic leakage (22.5% vs. 8.1%; P = 0.001) and vocal cord palsy (31.3% vs. 18.4%; P = 0.024) was observed. The number of harvested lymph nodes increased after 40 cases (13 vs. 23; P < 0.001), especially for lymph nodes along the recurrent laryngeal nerve (3.0 vs. 6.0; P < 0.001).

CONCLUSIONS

The learning phase of RAMIE-MK consists of 40 cases, and quality outcomes can be improved after 80 procedures. Several turning points related to the optimization of surgical outcomes can be used as benchmarks for surgeons performing RAMIE-MK.

Strategies to prevent anastomotic leakage after esophagectomy and gastric conduit reconstruction

Background

Surgery remains the cornerstone of esophageal cancer treatment but is burdened with high procedure-related morbidity. Anastomotic leakage as the most important surgical complication after esophagectomy is a key indicator for quality in surgical outcome research.

Purpose

The aim of this narrative review is to assess and summarize the current knowledge on prevention of anastomotic leakage after esophagectomy and to provide orientation for the reader in this challenging field of surgery.

Conclusions

There are various strategies to reduce postoperative morbidity and to prevent anastomotic leakage after esophagectomy, including adequate patient selection and preparation, and many technical-surgical and anesthesiological details. The scientific evidence regarding those strategies is highly heterogeneous, ranging from expert’s recommendations to randomized controlled trials. This review is intended to serve as an empirical guideline to improve the clinical management of patients undergoing esophagectomy with a special focus on anastomotic leakage prevention.

Prevention of intra-thoracic recurrent laryngeal nerve injury with robot-assisted esophagectomy

PURPOSE

Transthoracic esophagectomy for esophageal cancer is one of the most invasive procedures in surgery for gastrointestinal cancer. Serious complications sometimes occur after esophageal cancer surgery, including recurrent laryngeal nerve injury and pneumonia. The purpose of this study was to access the possibility of robot-assisted thoracoscopic esophagectomy for esophageal cancer in terms of preventing recurrent laryngeal nerve injury.

METHODS

Operations in thoracic part were performed in prone position with bilateral ventilation. During dissection of the recurrent laryngeal nerve lymph nodes, thin blood vessels were coagulated with Maryland bipolar forceps in the left hand and then dissected with monopolar scissors in the right hand. Especially when dissecting left recurrent laryngeal nerve lymph nodes, the nerve was left unisolated from the vascular sheath that involves the aortic arch. Short-term outcomes including operative time, estimated blood loss, and postoperative complications including recurrent laryngeal nerve injury were accessed.

RESULTS

From November 2018 to January 2020, 20 patients underwent robot-assisted thoracoscopic esophagectomy for esophageal cancer. Thoracic operative time was 242 min, estimated blood loss in the thoracic part was minimal, the number of dissected mediastinal lymph nodes was 19 (all median), and the incidence rates of recurrent laryngeal nerve injury and pneumonia were 10% (2 case) and 10% (2 cases), respectively.

CONCLUSION

Robot-assisted thoracoscopic esophagectomy for esophageal cancer has the possibility of reducing recurrent laryngeal nerve injury even in the introductory period. Randomized controlled trials are required to confirm this advantage of the robotic surgery.

Comparative Perioperative Outcomes by Esophagectomy Surgical Technique

INTRODUCTION

Surgical resection is vital in the curative management of patients with esophageal cancer. However, a myriad of surgical procedures exists based on surgeon preference and training. We report on the perioperative outcomes based on esophagectomy surgical technique.

METHODS

A prospectively managed esophagectomy database was queried for patients undergoing esophagectomy from 1996 and 2016. Basic demographics, tumor characteristics, operative details, and post-operative outcomes were recorded and analyzed by comparison of transhiatal vs Ivor-lewis and minimally invasive (MIE) vs open procedures.

RESULTS

We identified 856 patients who underwent esophagectomy. Neoadjuvant therapy was administered in 543 patients (63.4%). There were 504 (58.8%) open esophagectomies and 302 (35.2%) MIE. There were 13 (1.5%) mortalities and this did not differ among techniques (p = 0.6). While there was no difference in overall complications between MIE and open, complications occurred less frequently in patients undergoing RAIL and MIE IVL compared to other techniques (p = 0.003). Pulmonary complications also occurred less frequently in RAIL and MIE IVL (p < 0.001). Anastomotic leaks were less common in patients who underwent IVL compared to trans-hiatal approaches (p = 0.03). MIE patients were more likely to receive neoadjuvant therapy (p = 0.001), have lower blood loss (p < 0.001), have longer operations (p < 0.001), and higher lymph node harvests (p < 0.001) compared to open patients.

CONCLUSION

Minimally invasive and robotic Ivor Lewis techniques demonstrated substantial benefits in post-operative complications. Oncologic outcomes similarly favor MIE IVL and RAIL.

Minimally Invasive Esophagectomy: A Consensus Statement

BACKGROUND

Minimally invasive esophagectomy (MIE) is increasingly performed in various ways. The lack of international definitions and nomenclature makes accurate comparison of outcomes difficult.

METHODS

An international, multispecialty consensus-writing committee constructed definitions and nomenclature for MIE. After a PubMed search, vetting, and review with all authors, a consensus was reached.

RESULTS

The proposed definition for MIE is an operation "that removes part or all of the esophagus, does not retract, lift, spread or remove any part of the chest or abdominal wall and the surgeon's and assistant's vision of the operative field is via a monitor, the patient's tissue is manipulated only by instruments that are controlled by the operating surgeon or team, except for during the neck portion if used." A flexible nomenclature is proposed that attempts to describe current and future operations and systems.

CONCLUSIONS

Definitions and nomenclature for MIE are needed to ensure that future studies accurately compare results and outcomes of similar operations. Nomenclatures allow surgeons, researchers, and patients from different cultures to use a common language to facilitate communication and compare. This process is required in order to improve patient outcomes globally to drive adoption of best of practice, yet is lacking for MIE.

Oncologic Resection in Laparoscopic Versus Robotic Transhiatal Esophagectomy

Background and Objectives:

As the use of robotic surgery continues to increase, little is known about robotic oncologic outcomes compared with traditional methods in esophagectomy. The aim of this study was to examine the perioperative oncologic outcomes of patients undergoing laparoscopic versus robot-assisted transhiatal esophagectomy (THE).

Methods:

Thirty-six consecutive patients who underwent laparoscopic and robot-assisted THE for malignant disease over a 3-year period were identified in a retrospective database. Eighteen patients underwent robotic-assisted THE with cervical anastomosis, and 18 patients underwent laparoscopic THE. All procedures were performed by a single foregut and thoracic surgeon.

Results:

Patient demographics were similar between the 2 groups with no significant differences. Lymph node yields for both laparoscopic and robot-assisted THE were similar at 13.9 and 14.3, respectively (P = .90). Ninety-four percent of each group underwent R0 margins, but only 1 patient from each modality had microscopic positive margins. All of the robot-assisted patients underwent neoadjuvant chemoradiation, whereas 83.3% underwent neoadjuvant therapy in the laparoscopy group (P = .23). Clinical and pathologic stagings were similar in each group. There was 1 death after laparoscopic surgery in a cirrhotic patient and no mortalities among the robot-assisted THE patients (P = .99). One patient from each group experienced an anastomotic leak, but neither patient required further intervention.

Conclusions:

Laparoscopic and robot-assisted THEs yield similar perioperative oncologic results including lymph node yield and margin status. In the transition from laparoscopic surgery, robotic surgery should be considered oncologically noninferior compared with laparoscopy.

Comparative outcomes of minimally invasive and robotic-assisted esophagectomy

OBJECTIVE

Minimally invasive esophagectomy (MIE) has demonstrated superior outcomes compared to open approaches. The myriad of techniques has precluded the recommendation of a standard approach. The addition of robotics to esophageal resection has potential benefits. We sought to examine the outcomes with MIE to include robotics.

METHODS

Utilizing a prospective esophagectomy database, we identified patients who underwent (MIE) Ivor Lewis via thoracoscopic/laparoscopic (TL), transhiatal (TH), or robotic-assisted Ivor Lewis (RAIL). Patient demographics, tumor characteristics, and complications were analyzed via ANOVA, χ², and Fisher exact where appropriate.

RESULTS

We identified 302 patients who underwent MIE: TL 95 (31.5%), TH 63 (20.8%), and RAIL 144 (47.7%) with a mean age of 65 ± 9.6. The length of operation was longer in the RAIL: TL (299 ± 87), TH (231 ± 65), RAIL (409 ± 104 min), p < 0.001. However, the EBL was lower in the patients undergoing transthoracic approaches (RAIL + TL): TL (189 ± 188 ml), TH (242 ± 380 ml), RAIL (155 ± 107 ml), p = 0.03. Conversion to open was also lower in these patients: TL 7 (7.4%), TH 8 (12.7%), RAIL 0, p < 0.001. The R0 resection rate and lymph node (LN) harvest also favored the RAIL cohort: TL 86 (93.5%), TH 60 (96.8%), and RAIL 144 (100%), p = 0.01; LN: TL 14 ± 7, TH 9 ± 6, and RAIL 20 ± 9, p < 0.001. The overall morbidity was lower in MIE patients that underwent a transthoracic approach vs. transhiatal: TL 29 (30.5%), TH 39 (61.9%), RAIL 34 (23.6%), p < 0.001.

CONCLUSIONS

Patients undergoing MIE via thoracoscopic/laparoscopic and robotic transthoracic approaches demonstrated lower EBL, morbidity, and conversion to open compared to the transhiatal approach. Additionally the oncologic outcomes measured by R0 resections and LN harvest also favored the patients who underwent a transthoracic approach.

Minimally Invasive and Robotic Esophagectomy: A Review

Great advances have been made in the surgical management of esophageal disease since the first description of esophageal resection in 1913. We are in the era of minimally invasive esophagectomy. The current three main approaches to an esophagectomy are the Ivor Lewis technique, McKeown technique, and the transhiatal approach to esophagectomy. These operations were associated with a high morbidity and mortality. The recent advances in minimally invasive surgical techniques have greatly improved the outcomes of these surgical procedures. This article reviews the literature and describes the various techniques available for performing minimally invasive esophagectomy and robot-assisted esophagectomies, the history behind the development of these techniques, the variations, and the contemporary outcomes after such procedures.

Robot-assisted minimally invasive esophagectomy (RAMIE) improves perioperative outcomes: a review

Robotic assisted minimal invasive esophagectomy (RAMIE) is increasingly applied as a clinically and oncologically safe technique in the surgical treatment of esophageal cancer. This review focuses on the advantages and potential opportunities of RAMIE to improve the perioperative and oncological outcomes based on the evidence from current literature. In addition, critical notes on aspects such as procedure duration and costs are addressed in this paper.