Resident Operative Autonomy in Robotic Surgery Training: Unpacking Gender Disparities and Training Trends.

OBJECTIVE: This study evaluated resident and program-level factors associated with resident-reported robotic operative autonomy at our institution. DESIGN: This retrospective cohort study evaluates self-reported residents' robotic case logs detailing case type, console time, and portions of the case completed. The analysis included three procedures: pancreaticoduodenectomies, hernia repairs, and low anterior resection. Each procedure was divided into four key portions. Outcomes measured included minutes at the console and High Resident Autonomy (HRA), defined as >50% resident case participation. Independent variables included graduation cohort, pursued fellowship type, attending gender, underrepresented minority status, and hospital type. Univariable and multivariable logistic regression were performed. SETTING: This study took place at the University of Texas Southwestern Medical Center General Surgery Residency between 2021 and 2023. PARTICIPANTS: Twenty-nine chief residents (postgraduate year 5). RESULTS: Of the 541 cases, 61% were hernia repairs, 26% were low anterior resections, and 13% were pancreaticoduodenectomies. Female residents were present in 60% of the cases. Male residents reported more HRA (76% vs. 54%) and longer console times (150 vs 120 minutes; p < 0.01). Multivariable analysis indicated female gender was associated with 74% lower odds of HRA (95% CI: 0.15 - 0.45; p < 0.001) and 18 fewer minutes of console time versus males (p < 0.01). The 2023 cohort had significantly higher odds of HRA than the 2021 cohort (OR: 4.46, 95% CI: 2.34 - 8.51; p < 0.001) and 15 more console minutes. Residents with aligned fellowships spent 37 more console minutes than those without (p < 0.001). No significant differences were found between attending gender, hospital, and minority status. CONCLUSIONS: Our findings reveal significant gender disparities in self-reported operative autonomy and console time. The recent cohort showed improved training outcomes, and fellowship alignment with the case positively impacted console time. This suggests a need to refine training approaches, ensuring equity and optimizing training efficacy.

Robotic versus open pancreaticoduodenectomy in octogenarians: a comparative propensity score analysis of perioperative outcomes.

BACKGROUND: Compared to open pancreaticoduodenectomies (OPD), the robotic (RPD) approach decreases the rate of complication and the length of stay (LOS). However, it remains unknown if these benefits persist in octogenarians, who are at higher risk for perioperative morbidity and mortality. METHODS: A retrospective analysis of the ACS-NSQIP database was performed to identify patients aged 80 years or older who underwent PD for pancreatic adenocarcinoma between 2015-2021. Patients who underwent RPD or OPD were compared using inversed probability weighting of the propensity score. Outcomes assessed include operative time, LOS, non-home discharge, major complications, unplanned readmission, return to the operating room, mortality, and clinically relevant postoperative pancreatic fistula. RESULTS: Of 30,751 patients, 1720 were octogenarians. One thousand six hundred twenty-five patients (94 %) underwent OPD, and 95 (6 %) underwent RPD. RPD was significantly associated with a reduced incidence of major complications (32.6 % vs. 45.6 %; p < 0.01) and a lower rate of non-home discharge (24.7 % vs. 34.3%; p < 0.05). However, RPD was associated with a longer operative time (438 min vs. 342 min; p < 0.0001). There was no difference in other assessed outcomes. CONCLUSION: RPD may reduce major postoperative complications and non-home discharges compared to the open approach for octogenarians.

Learning Curve of a Robotic Bio-Tissue Intestinal Anastomosis: Implications for Surgical Training Curricula.

OBJECTIVE: The integration of robotic surgical training in a time-scarce residency program is a challenge for surgical educators. Simulation-based training is a tool that allows residents to acquire the necessary robotic skills without compromising patient safety. This study aimed to assess the learning curve of a robotic inanimate intestinal anastomosis drill. DESIGN: Two trained graders performed a video-based assessment of each attempt of a side-to-side intestinal anastomosis drill using the Objective Structured Assessment of Technical Skill (OSATS) scale. Residents who achieved a passing score of 28 were included in the study. We assessed the number of attempts required to achieve a passing score and evaluated technical performance on different OSATS domains. Data were analyzed using independent t-test, 1-way ANOVA, and binary logistic regression. SETTING: The University of Texas Southwestern PARTICIPANTS: 33 residents across 4 academic years RESULTS: Thirty-three residents performed 139 attempts with a mean of 4.2 ± 2 attempts per resident. On average, 3.3 attempts were required to achieve a passing score. Average OSATS score increased from 21.7 to 27.2 between the 1st and the 4th attempt, respectively (p < 0.001). Of the OSATS subcategories, time and motion showed the greatest score improvement of 1.5 on a 5-point Likert scale, 95% CI [0.82, 2.18] (p < 0.001). Despite varying baseline OSATS scores between residents on initial assessment, there was no significant difference in the final attempt score. On the initial attempt, a lower score and failure to finish were associated with greater odds of requiring 5 or more attempts to pass the drill. CONCLUSION: All OSATS metrics improved on an intestinal anastomosis drill after simulation training. A maximum of 6 attempts were required to achieve a passing score. Initial performance strongly predicts the number of attempts required to achieve a passing score. This feasible and effective drill provides trainees with robotic intestinal anastomosis training.

From the simulation lab to the operating room: simulation performance predicts intraoperative performance in robotic gastrojejunostomy.

BACKGROUND: Simulation and video-based assessment (VBA) offer residents the opportunity to develop operative skills while ensuring patient safety. This study aims to determine whether simulation training can predict residents' operative performance, focusing on the gastrojejunal (GJ) anastomosis during robotic pancreatoduodenectomy. METHODS: Twenty-seven general surgery residents completed simulated robotic GJ drills and subsequently performed GJs in the operating room (OR). Both simulated and intraoperative performances were video recorded and retrospectively assessed by two blinded graders using the Objective Structural Assessment of Technical Skills (OSATS) scale, time to completion, and occurrence of errors. Intraoperative GJ OSATS scores were compared in cases with and without Clinically Relevant Delayed Gastric Emptying (CRDGE). Statistical analysis was performed using Spearman's rho, Chi-square, and Kruskal-Wallis tests. RESULTS: For simulated GJs, the median OSATS score was 29 (IQR 27-33), time to completion was 30 min (IQR 27-35), and 11 cases had at least one error. Intraoperative GJs had a median OSATS of 30 (IQR 27-31), time to completion of 41 min (IQR 36-51), and errors occurred in nine cases. The OSATS score on the simulated GJs demonstrated a significant positive correlation to the OSATS score on the operative GJs (r = 0.74; p < 0.001) and less time to completion (r = - 0.68; p < 0.001). A shorter simulated GJ completion time significantly correlated with a higher intraoperative OSATS score (r = - 0.52; p < 0.01). Residents with at least one error in the simulated GJs had lower OSATS scores and higher times intraoperatively. Those cases with CRDGE had significantly lower intraoperative OSATS scores than those without CRDGE. CONCLUSION: Performance on a simulated robotic GJ environment is a robust predictor of OR GJ performance, demonstrating predictive validity. VBA of residents' operative GJ performance is associated with the presentation of CRDGE. Simulation-based training may be crucial to optimizing surgical outcomes before operating on patients.

Using OR Black Box Technology to Determine Quality Improvement Outcomes for In-situ Timeout and Debrief Simulation.

OBJECTIVE: The purpose of this study was to determine quality improvement outcomes following the pilot implementation of an in-situ simulation designed to enhance surgical safety checklist performance. BACKGROUND: OR Black Box (ORBB) technology allows near real-time assessment for surgical safety checklist performance. Before our study, timeout quality was 73.3%, compliance was 99.9%, and engagement was 89.7% (n=1993 cases); Debrief Quality was 76.0%, compliance was 66.9%, and engagement was 66.7% (n=1842 cases). METHODS: This IRB-approved study used prospective convergent multi-methods. During 2 months, a 15-minute in-situ simulation, incorporating rapid cycle deliberate practice, was implemented for OR teams. ORBB analytics generated Timeout and Debrief scores for actual operations performed by surgeons who participated in simulation (Sim-group) versus those who did not (No-sim group) over 6 months, including 2 months pre-intervention, during-intervention, and post-intervention. Inductive content analysis was performed based on simulation discussions to determine team member perspectives. RESULTS: Thirty simulations with 163 interprofessional participants were conducted. ORBB data from 1570 cases were analyzed. Scores were significantly better for the Sim-group compared with the No-sim group for debrief quality (84% vs. 79% P<0.001, during-intervention), compliance (73% vs. 66%, P<0.001, post-intervention), and engagement (80% vs. 73%, P=0.012, during-intervention). There were no between-group differences for Timeout scores. Thematic analysis identified 2 primary categories: "culture of safety" and "policy." CONCLUSIONS: This simulation-based QI intervention created a psychologically safe training environment for OR teams. The novel use of ORBB technology facilitated outcome analysis and showed significantly better Debrief scores for simulation-trained surgeons compared with nontrained surgeons.

Enhancing Readability of Online Patient-Facing Content: The Role of AI Chatbots in Improving Cancer Information Accessibility.

BACKGROUND: Internet-based health education is increasingly vital in patient care. However, the readability of online information often exceeds the average reading level of the US population, limiting accessibility and comprehension. This study investigates the use of chatbot artificial intelligence to improve the readability of cancer-related patient-facing content. METHODS: We used ChatGPT 4.0 to rewrite content about breast, colon, lung, prostate, and pancreas cancer across 34 websites associated with NCCN Member Institutions. Readability was analyzed using Fry Readability Score, Flesch-Kincaid Grade Level, Gunning Fog Index, and Simple Measure of Gobbledygook. The primary outcome was the mean readability score for the original and artificial intelligence (AI)-generated content. As secondary outcomes, we assessed the accuracy, similarity, and quality using F1 scores, cosine similarity scores, and section 2 of the DISCERN instrument, respectively. RESULTS: The mean readability level across the 34 websites was equivalent to a university freshman level (grade 13±1.5). However, after ChatGPT's intervention, the AI-generated outputs had a mean readability score equivalent to a high school freshman education level (grade 9±0.8). The overall F1 score for the rewritten content was 0.87, the precision score was 0.934, and the recall score was 0.814. Compared with their original counterparts, the AI-rewritten content had a cosine similarity score of 0.915 (95% CI, 0.908-0.922). The improved readability was attributed to simpler words and shorter sentences. The mean DISCERN score of the random sample of AI-generated content was equivalent to "good" (28.5±5), with no significant differences compared with their original counterparts. CONCLUSIONS: Our study demonstrates the potential of AI chatbots to improve the readability of patient-facing content while maintaining content quality. The decrease in requisite literacy after AI revision emphasizes the potential of this technology to reduce health care disparities caused by a mismatch between educational resources available to a patient and their health literacy.

The development of a deep learning model for automated segmentation of the robotic pancreaticojejunostomy.

BACKGROUND: Minimally invasive surgery provides an unprecedented opportunity to review video for assessing surgical performance. Surgical video analysis is time-consuming and expensive. Deep learning provides an alternative for analysis. Robotic pancreaticoduodenectomy (RPD) is a complex and morbid operation. Surgeon technical performance of pancreaticojejunostomy (PJ) has been associated with postoperative pancreatic fistula. In this work, we aimed to utilize deep learning to automatically segment PJ RPD videos. METHODS: This was a retrospective review of prospectively collected videos from 2011 to 2022 that were in libraries at tertiary referral centers, including 111 PJ videos. Each frame of a robotic PJ video was categorized based on 6 tasks. A 3D convolutional neural network was trained for frame-level visual feature extraction and classification. All the videos were manually annotated for the start and end of each task. RESULTS: Of the 100 videos assessed, 60 videos were used for the training the model, 10 for hyperparameter optimization, and 30 for the testing of performance. All the frames were extracted (6 frames/second) and annotated. The accuracy and mean per-class F1 scores were 88.01% and 85.34% for tasks. CONCLUSION: The deep learning model performed well for automated segmentation of PJ videos. Future work will focus on skills assessment and outcome prediction.

Minimally invasive pancreaticoduodenectomy: A favorable approach for frail patients with pancreatic cancer.

BACKGROUND: Within the past decade, minimally invasive pancreaticoduodenectomy has been increasingly adopted in high-volume cancer centers. Amid broader trends of a growing older population, the numbers of frail patients with cancer are expected to increase. In this study, we compared the postoperative outcomes of open pancreaticoduodenectomy and minimally invasive pancreaticoduodenectomy in frail patients with pancreatic ductal adenocarcinoma. METHODS: Using the pancreatectomy-targeted American College of Surgeons-National Surgical Quality Improvement Program database (2014-2021), we identified pancreaticoduodenectomy cases for pancreatic ductal adenocarcinoma. Patients with a modified frailty index ≥2 were considered frail. We performed 2:1 (open pancreaticoduodenectomy to minimally invasive pancreaticoduodenectomy) optimal pair propensity score matching for both patient- and disease-specific characteristics. We evaluated baseline covariate balance for homogeneity and assessed 30-day postoperative outcomes: complications, discharge destination, major morbidity, and mortality. RESULTS: We identified 3,143 frail patients who underwent pancreaticoduodenectomy for pancreatic ductal adenocarcinoma. Of those, 275 (9%) underwent minimally invasive pancreaticoduodenectomy. Minimally invasive pancreaticoduodenectomy was associated with a lower rate of any complications compared with open pancreaticoduodenectomy (43% vs 54%; P < .001), major morbidity (29% vs 35%; P = .042), and nonhome discharge (12% vs 17%; P = .022). When comparing the 2 minimally invasive pancreaticoduodenectomy approaches, robotic surgery was associated with fewer complications compared with laparoscopy (39% vs 51%; P = .040) and a lower mortality rate (1% vs 4%; P = .041) CONCLUSION: In frail patients with pancreatic cancer, minimally invasive pancreaticoduodenectomy was associated with better postoperative outcomes than open pancreaticoduodenectomy. This study builds on growing literature reporting that, when properly implemented, minimally invasive pancreaticoduodenectomy is associated with more favorable postoperative outcomes. Given the particularly high risk of complication in frail patients, implementing a preoperative frailty assessment can provide valuable insights to inform patient counseling.

Association of race, demographic and socioeconomic factors with failure to rescue after hepato-pancreato-biliary surgery in the United States.

BACKGROUND: We aimed to describe the association of patient-related factors such as race, socioeconomic status, and insurance on failure to rescue (FTR) after hepato-pancreato-biliary (HPB) surgeries. METHODS: Using the National Inpatient Sample, we analyzed 98,788 elective HPB surgeries between 2004 and 2017. Major and minor complications were identified using ICD9/10 codes. We evaluated mortality rates and FTR (inpatient mortality after major complications). We used multivariate logistic regression analysis to assess racial, socioeconomic, and demographic factors on FTR, adjusting for covariates. RESULTS: Overall, 43 % of patients (n = 42,256) had pancreatic operations, 36% (n = 35,526) had liver surgery, and 21% (n = 21,006) had biliary interventions. The overall major complication rate was 21% (n = 20,640), of which 8% (n = 1655) suffered FTR. Factors independently associated with increased risk for FTR were male sex, older age, higher Charlson Comorbidity Index, Hispanic ethnicity, Asian or other race, lower income quartile, Medicare insurance, and southern region hospitals. CONCLUSIONS: Medicare insurance, male gender, Hispanic ethnicity, and lower income quartile were associated with increased risk for FTR. Efforts should be made to improve the identification and subsequent treatment of complications for those at high risk of FTR.

Intensifying supportive care is associated with improved survival in gastric cancer patients with malignant ascites.

BACKGROUND: Gastric cancer patients with malignant ascites often have poor functional status and malnutrition that preclude receipt of systemic therapies. Thus, these patients have a very poor prognosis. Beginning in 2019, our multidisciplinary gastric cancer disease-oriented team implemented a more aggressive supportive care plan for gastric cancer patients with malignant ascites. The initiative included measures such as supplemental enteral nutrition, ascites drainage, and initiation of chemotherapy on an inpatient basis. We compared outcomes for gastric cancer patients who presented with synchronous malignant ascites treated before and after the implementation of the care plan. METHODS: We performed a retrospective review of our institutional database to identify patients diagnosed with gastric adenocarcinoma and synchronous malignant ascites between 2010 and 2022. We compared overall survival (OS) between patients diagnosed from 2010 to 2018, which will be referred to as the historical control era and patients diagnosed from 2019 to 2022, which will be called the aggressive supportive care era. RESULTS: Fifty-four patients were included in our analysis; 31 patients were treated in the historical control time frame, and 23 patients were treated during the aggressive supportive care era. Demographic, clinical, and pathologic characteristics were similar between groups. 3% of historical controls received supplemental tube feeds at diagnosis as compared to 30% of the aggressive supportive care cohort (p < 0.01). 3% of historical controls received their first cycle of chemotherapy in the inpatient setting versus 39% of patients treated during the aggressive supportive care era (p < 0.01). The median number of chemotherapy cycles received was 5 among historical controls and 9.5 among aggressive supportive care era patients (p = 0.02). There was no difference in the number of days spent as an inpatient between the two groups. The median OS for historical control patients was 5.4 months as compared with 10.4 months for patients treated during aggressive supportive care era (p = 0.04). CONCLUSIONS: Gastric cancer patients with synchronous malignant ascites treated during a timeframe when our multidisciplinary team implemented more aggressive supportive care measures had improved OS as compared with historic controls. Our results suggest that aggressive supportive measures for these patients with highly challenging clinical issues and poor prognosis can prolong survival. Specifically, initiation of chemotherapy in the inpatient setting and supplemental nutrition should be considered for patients at high risk for treatment intolerance.

Robotic Enucleation of Pancreatic Head Insulinomas in Close Proximity to the Pancreatic Duct.

BACKGROUND: Insulinomas are rare pancreatic neuroendocrine tumors for which the main curative treatment is surgical resection. Enucleation is preferred over pancreatoduodenectomy to minimize morbidity and function loss.1 Robotic-assisted surgery offers improved versatility and less blood loss than laparoscopic surgery for pancreatic enucleation.2-4 Our video describes the technique for robotic enucleation of pancreatic head insulinomas in close proximity to the pancreatic duct. PATIENTS AND METHODS: The video describes the presentation, diagnostic imaging, and technical aspects of the surgical approach in two patients with pancreatic head insulinomas that underwent robotic enucleation. RESULTS: Case one was a 76-year-old woman who experienced syncope for 2 months. Case two was a 61-year-old man, previously treated for renal cancer, who had documented hypoglycemic symptoms. Computed tomography (CT) scan and magnetic resonance imaging (MRI) identified a 1.5 cm and 1.2 cm pancreatic head mass, respectively. Both patients presented with low glucose levels, and elevated C-peptide and proinsulin. In both cases, endoscopic retrograde cholangiopancreatography (ERCP) and pancreatic duct stent placement were performed the same day of surgery for intraoperative identification and preservation of the duct. Robotic enucleation of the masses was performed, and an ultrasound was used to identify the masses and relation with main pancreatic duct. Pathology revealed a well-differentiated neuroendocrine tumor in both cases. The patient's postoperative course was uneventful, and they were discharged on day 5. Successful resolution of hypoglycemic events occurred in both patients. CONCLUSION: Robotic enucleation is a safe and feasible option for treating pancreatic head tumors in challenging locations. Intraoperative ultrasound is an essential tool for the successful robotic enucleation of pancreatic head tumors.

Cost Analysis and Financial Implications of a Peritoneal Surface Malignancy Program in the USA.

BACKGROUND: We aimed to describe the financial implications of cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS/HIPEC) in the USA. MATERIALS AND METHODS: We conducted a retrospective cost analysis of 100 CRS/HIPEC procedures to examine the impact of patient and procedural factors on hospital costs and reimbursement. A comparison of surgeons' work relative value units (wRVUs) between CRS/HIPEC and a representative sample of complex surgical oncology procedures was made to assess the physicians' compensation rate. Univariable and multivariable backward logistic regression was used to analyze the association between perioperative variables and high direct cost (HDCs). RESULTS: The median direct cost per CRS/HIPEC procedure was US $44,770. The median hospital reimbursement was US $43,066, while professional reimbursement was US $8608, resulting in a positive contribution margin of US $7493/procedure. However, the contribution margin significantly varied with the payer mix. Privately insured patients had a positive median contribution margin of US $23,033, whereas Medicare-insured patients had a negative contribution margin of US $13,034. Length of stay (LOS) had the most significant association with HDC, and major complications had the most significant association with LOS. Finally, CRS/HIPEC procedures generated a median of 13 wRVU/h, which is significantly lower than the wRVU/h generated by open pancreatoduodenectomies, open gastrectomies, and hepatectomies. However, higher operation complexity and multiple visceral resections help compensate for the relatively low wRVU/h. CONCLUSIONS: CRS/HIPEC is an expensive operation, and prolonged LOS has the most significant impact on the total cost of the procedure. High-quality care is essential to improve patient outcomes and maintain the economic sustainability of the procedure.

Adapting to a Robotic Era: The Transferability of Open and Laparoscopic Skills to Robotic Surgery.

BACKGROUND: The learning curve of robotic surgical skills is poorly understood. There is a lack of data on the transferability of skills from open and laparoscopic training to robotic surgery. In this retrospective cohort study, we investigated the impact of training acquired during intern year on the development of robotic skills in general surgery residents, prior to formal robotic training. METHODS: Between 2019 and 2021, novice general surgery residents underwent robotic skill assessment using 3 validated inanimate drills before starting intern year. After completing basic open and laparoscopic proficiency-based curricula, they completed an identical robotic skill assessment at the end of intern year. Pre and post intern year robotic performances were recorded and analyzed by 2 blinded graders. Video-based assessment included completion time, errors, and the modified Objective Structured Assessment of Technical Skills (mOSATS) score. RESULTS: The total time needed to complete all 3 robotic drills decreased from a mean of 26 to 17 minutes after intern year (p < 0.001). The number of errors decreased from a mean of 2.16 to 0.56 errors per subject (p < 0.001). The aggregated mOSATS score increased by an average of 41% (p < 0.001), with a greater increase in technical skill domains compared to the knowledge-based domain. The interrater intraclass correlation coefficient was 0.91. CONCLUSIONS: Baseline robotic surgical skills are limited without formal training. Our findings suggest that acquiring basic open and laparoscopic skills, such as knot tying, needle driving, and tissue handling results in improved performance on the robotic platform, prior to formal robotic training. Therefore, requiring trainees to complete fundamental open and laparoscopic training prior to robotic training may be an efficient and effective strategy within a surgical residency curriculum.

Baseline performance in a robotic virtual reality platform predicts rate of skill acquisition in a proficiency-based curriculum: a cohort study of surgical trainees.

BACKGROUND: Residency programs must prepare to train the next generation of surgeons on the robotic platform. The purpose of this study was to determine if baseline skills of residents on a virtual reality (VR) robotic simulator before intern year predicted future performance in a proficiency-based curriculum. METHODS: Across two academic years, 21 general surgery PGY-1s underwent the robotic surgery boot camp at the University of Texas Southwestern. During boot camp, subjects completed five previously validated VR tasks, and their performance metrics (score, time, and economy of motion [EOM]) were extracted retrospectively from their Intuitive learning accounts. The same metrics were assessed during their residency until they reached previously validated proficiency benchmarks. Outcomes were defined as the score at proficiency, attempts to reach proficiency, and time to proficiency. Spearman's rho and Mann-Whitney U tests were used; median (IQR) was reported. Significance level was set at p < 0.05. RESULTS: Twenty-one residents completed at least three out of the five boot camp tasks and achieved proficiency in the former during residency. The median average score at boot camp was 12.3 (IQR: 5.14-18.5). The median average EOM at boot camp was 599.58 cm (IQR: 529.64-676.60). The average score at boot camp significantly correlated with lower time to achieve proficiency (p < 0.05). EOM at boot camp showed a significant correlation with attempts to proficiency and time to proficiency (p < 0.01). Residents with an average baseline EOM below the median showed a significant difference in attempts to proficiency (p < 0.05) and time to proficiency (p < 0.05) compared to those with EOMs above or equal to the median. CONCLUSION: Residents with an innate ability to perform tasks with better EOM may acquire robotic surgery skills faster. Future investigators could explore how these innate differences impact performance throughout residency.

Perioperative outcomes of robotic and laparoscopic surgery for colorectal cancer: a propensity score-matched analysis.

BACKGROUND: Robotic colorectal surgery is becoming the preferred surgical approach for colorectal cancer (CRC). It offers several technical advantages over conventional laparoscopy that could improve patient outcomes. In this retrospective cohort study, we compared robotic and laparoscopic surgery for CRC using a national cohort of patients. METHODS: Using the colectomy-targeted ACS-NSQIP database (2015-2020), colorectal procedures for malignant etiologies were identified by CPT codes for right colectomy (RC), left colectomy (LC), and low anterior resection (LAR). Optimal pair matching was performed. "Textbook outcome" was defined as the absence of 30-day complications, readmission, or mortality and a length of stay < 5 days. RESULTS: We included 53,209 out of 139,759 patients screened for eligibility. Laparoscopic-to-robotic matching of 2:1 was performed for RC and LC, and 1:1 for LAR. The largest standardized mean difference was 0.048 after matching. Robotic surgery was associated with an increased rate of textbook outcomes compared to laparoscopy in RC and LC, but not in LAR (71% vs. 64% in RC, 75% vs. 68% in LC; p < 0.001). Robotic LAR was associated with increased major morbidity (7.1% vs. 5.8%; p = 0.012). For all three procedures, the mean conversion rate of robotic surgery was lower than laparoscopy (4.3% vs. 9.2%; p < 0.001), while the mean operative time was higher for robotic (225 min vs. 177 min; p < 0.001). CONCLUSIONS: Robotic surgery for CRC offers an advantage over conventional laparoscopy by improving textbook outcomes in RC and LC. This advantage was not found in robotic LAR, which also showed an increased risk of serious complications. The associations highlighted in our study should be considered in the discussion of the surgical management of patients with colorectal cancer.