1
|
Pisani Ceretti A, Mariani NM, Perego M, Giovenzana M, Salaj A, Formisano G, Gheza F, Gloria G, Bernardo R, Bianchi PP. Proposal of set-up standardization for general surgery procedures with the CMR Versius system, a new robotic platform: our initial experience. Langenbecks Arch Surg 2024; 409:107. [PMID: 38565787 DOI: 10.1007/s00423-024-03291-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 03/20/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND The article describes our initial experience using CMR Versius platform for several procedures in general surgery. METHODS Between September 2022 and April 2023, seventy patients underwent robotic surgery in a multi-robotic referral center (San Paolo University Hospital, Milan, Italy). Three surgeons with only laparoscopic experience performed 24 cholecystectomies, 13 inguinal hernia repairs, 9 ventral hernia repairs, 7 right hemicolectomies, 11 left hemicolectomies, 1 sigmoidectomy, 1 ileocecal resection, 1 ventral rectopexy, 1 Nissen fundoplication, 1 total splenectomy, and 1 exploration with multiple biopsies. RESULTS All surgeries were full-robotic, with only one conversion to laparoscopy. The short length of stay and low rate of severe morbidity are promising findings. Although operative time was lengthened, clinical outcomes were not affected. CONCLUSIONS Our experience demonstrates that the adoption of Versius system is safe and feasible in general surgery. The standardization of port placement and BSU set-up can certainly reduce the operative time.
Collapse
Affiliation(s)
- Andrea Pisani Ceretti
- Division of General and Robotic Surgery, Department of Health Sciences, ASST Santi Paolo E Carlo, University of Milan, Milan, Italy.
| | - Nicolò Maria Mariani
- Division of General and Robotic Surgery, Department of Health Sciences, ASST Santi Paolo E Carlo, University of Milan, Milan, Italy.
| | - Marta Perego
- Division of General and Robotic Surgery, Department of Health Sciences, ASST Santi Paolo E Carlo, University of Milan, Milan, Italy
| | - Marco Giovenzana
- Division of General and Robotic Surgery, Department of Health Sciences, ASST Santi Paolo E Carlo, University of Milan, Milan, Italy
| | - Adelona Salaj
- Division of General and Robotic Surgery, Department of Health Sciences, ASST Santi Paolo E Carlo, University of Milan, Milan, Italy
| | - Giampaolo Formisano
- Division of General and Robotic Surgery, Department of Health Sciences, ASST Santi Paolo E Carlo, University of Milan, Milan, Italy
| | - Federico Gheza
- Division of General Surgery, Department of Clinical and Experimental Sciences, University of Brescia and Civili Hospital, Brescia, Italy
| | - Gaia Gloria
- Division of Gynecology, Department of Health Sciences, ASST Santi Paolo E Carlo, University of Milan, Milan, Italy
| | - Rocco Bernardo
- Division of Urology, Department of Health Sciences, ASST Santi Paolo E Carlo, University of Milan, Milan, Italy
| | - Paolo Pietro Bianchi
- Division of General and Robotic Surgery, Department of Health Sciences, ASST Santi Paolo E Carlo, University of Milan, Milan, Italy
| |
Collapse
|
2
|
Larkins K, Quirke N, Ong HI, Mohamed JE, Heriot A, Warrier S, Mohan H. The deconstructed procedural description in robotic colorectal surgery. J Robot Surg 2024; 18:147. [PMID: 38554192 PMCID: PMC10981632 DOI: 10.1007/s11701-024-01907-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 03/05/2024] [Indexed: 04/01/2024]
Abstract
Increasing robotic surgical utilisation in colorectal surgery internationally has strengthened the need for standardised training. Deconstructed procedural descriptions identify components of an operation that can be integrated into proficiency-based progression training. This approach allows both access to skill level appropriate training opportunities and objective and comparable assessment. Robotic colorectal surgery has graded difficulty of operative procedures lending itself ideally to component training. Developing deconstructed procedural descriptions may assist in the structure and progression components in robotic colorectal surgical training. There is no currently published guide to procedural descriptions in robotic colorectal surgical or assessment of their training utility. This scoping review was conducted in June 2022 following the PRISMA-ScR guidelines to identify which robotic colorectal surgical procedures have available component-based procedural descriptions. Secondary aims were identifying the method of development of these descriptions and how they have been adapted in a training context. 20 published procedural descriptions were identified covering 8 robotic colorectal surgical procedures with anterior resection the most frequently described procedure. Five publications included descriptions of how the procedural description has been utilised for education and training. From these publications terminology relating to using deconstructed procedural descriptions in robotic colorectal surgical training is proposed. Development of deconstructed robotic colorectal procedural descriptions (DPDs) in an international context may assist in the development of a global curriculum of component operating competencies supported by objective metrics. This will allow for standardisation of robotic colorectal surgical training and supports a proficiency-based training approach.
Collapse
Affiliation(s)
- Kirsten Larkins
- Department of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- International Medical Robotics Academy, North Melbourne, VIC, Australia
- Department of Surgery, University of Melbourne, Melbourne, VIC, Australia
| | - Ned Quirke
- University College Dublin School of Medicine, Dublin, Ireland
| | - Hwa Ian Ong
- Department of Surgery, University of Melbourne, Melbourne, VIC, Australia.
- Department of Colorectal Surgery, Austin Health, Heidelberg, Australia.
| | - Jade El Mohamed
- International Medical Robotics Academy, North Melbourne, VIC, Australia
| | - Alexander Heriot
- Department of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- International Medical Robotics Academy, North Melbourne, VIC, Australia
- Department of Surgery, University of Melbourne, Melbourne, VIC, Australia
| | - Satish Warrier
- Department of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- International Medical Robotics Academy, North Melbourne, VIC, Australia
- Department of Surgery, University of Melbourne, Melbourne, VIC, Australia
- Department of Colorectal Surgery, Alfred Health, Melbourne, VIC, Australia
| | - Helen Mohan
- Department of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- International Medical Robotics Academy, North Melbourne, VIC, Australia
- Department of Surgery, University of Melbourne, Melbourne, VIC, Australia
- Department of Colorectal Surgery, Austin Health, Heidelberg, Australia
| |
Collapse
|
3
|
Larkins K, Mohamed JE, Mohan H, Heriot A, Warrier S. How I Do It: Structured Narration for Cognitive Simulation-based Training in Robotic Surgery. JOURNAL OF SURGICAL EDUCATION 2023; 80:624-628. [PMID: 36890046 DOI: 10.1016/j.jsurg.2023.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/05/2022] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
Video in robotic surgical education is an important and effective training tool. The educational benefit of video training tools can be enhanced by incorporating cognitive simulation using mental imagery. Narration of robotic surgical training video is an under-explored aspect of video design. Narration can be structured to stimulate visualization and procedural mental mapping. To achieve this, narration should be constructed to follow operative phases and steps and include the procedural, technical and cognitive components. This approach provides a foundation for building an understanding of the key concepts required to safely complete a procedure.
Collapse
Affiliation(s)
- Kirsten Larkins
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
| | - Jade El Mohamed
- International Medical Robotics Academy, North Melbourne, Victoria, Australia
| | - Helen Mohan
- Austin Health, Heidelberg, Victoria, Australia
| | - Alexander Heriot
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia; International Medical Robotics Academy, North Melbourne, Victoria, Australia
| | - Satish Warrier
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia; International Medical Robotics Academy, North Melbourne, Victoria, Australia; Department of Surgery, Monash University, Victoria, Australia
| |
Collapse
|
4
|
Van Eetvelde E, Violon S, Poortmans N, Stijns J, Duinslaeger M, Vanhoeij M, Buyl R, Jacobs-Tulleneers-Thevissen D. Safe implementation of robotic right colectomy with intracorporeal anastomosis. J Robot Surg 2022; 17:1071-1076. [PMID: 36566471 DOI: 10.1007/s11701-022-01514-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 12/18/2022] [Indexed: 12/26/2022]
Abstract
The robotic platform can overcome technical difficulties associated with laparoscopic colon surgery. Transitioning from laparoscopic right colectomy with extracorporeal anastomosis (ECA) to robotic right colectomy with intracorporeal anastomosis (ICA) is associated with a learning phase. This study aimed at determining the length of this learning phase and its associated morbidity. We retrospectively analyzed all laparoscopic right colectomies with ECA (n = 38) and robotic right colectomies with ICA (n = 67) for (pre)malignant lesions performed by a single surgeon between January 2014 and December 2020. CUSUM-plot analysis of total procedure time was used for learning curve determination of robotic colectomies. Non-parametric tests were used for statistical analysis. Compared to laparoscopy, the learning phase robotic right colectomies (n = 35) had longer procedure times (p < 0.001) but no differences in anastomotic leakage rate, length of stay or 30-day morbidity. Conversion rate was reduced from 16 to 3 percent in the robotic group. This study provides evidence that robotic right colectomy with ICA can be safely implemented without increasing morbidity.
Collapse
Affiliation(s)
- E Van Eetvelde
- Department of Surgery, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090, Brussels, Belgium.
| | - S Violon
- Department of Surgery, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090, Brussels, Belgium
| | - N Poortmans
- Department of Surgery, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090, Brussels, Belgium
| | - J Stijns
- Department of Surgery, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090, Brussels, Belgium
| | - M Duinslaeger
- Department of Surgery, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090, Brussels, Belgium
| | - M Vanhoeij
- Department of Surgery, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090, Brussels, Belgium
| | - R Buyl
- Biostatistics and Medical Informatics, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090, Brussels, Belgium
| | - D Jacobs-Tulleneers-Thevissen
- Department of Surgery, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090, Brussels, Belgium
| |
Collapse
|
5
|
Rahimi AO, Ho K, Chang M, Gasper D, Ashouri Y, Dearmon-Moore D, Hsu CH, Ghaderi I. A systematic review of robotic surgery curricula using a contemporary educational framework. Surg Endosc 2022; 37:2833-2841. [PMID: 36481821 DOI: 10.1007/s00464-022-09788-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 11/27/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND There has been a rising trend in robotic surgery. Thus, there is demand for a robotic surgery curriculum (RSC) for training surgical trainees and practicing surgeons. There are limited data available about current curricular designs and the extent to which they have incorporated educational frameworks. Our aim was to study the existing robotic surgery curricula using Kern's 6-step approach in curriculum development. METHODS A systematic review was conducted using PubMed, PubMed Central, Cochrane, Embase, and Scopus (we searched studies from 2001 to 2021). PRISMA Guidelines was used to guide the search. Curriculum designed for general surgery and its subspecialties were included. Urology and gynecology were excluded. The articles were reviewed by five reviewers. RESULTS Our review yielded 71 articles, including 39 curricula at 9 different settings. Using Kern's framework, we demonstrated that the majority of robotic surgery curricula contained all the elements of Kern's curricular design. However, there were significant deficiencies in important aspects of these curricula i.e., implementation, the quality of assessment tools for measurement of performance and evaluation of the educational value of these interventions. Most institutions used commercial virtual reality simulators (VRS) as the main component of their RSC and 23% of curricula only used VRS. CONCLUSIONS Although majority of these studies contained all the elements of Kern's framework, there are critical deficiencies in the components of existing curricula. Future curricula should be designed using established educational frameworks to improve the quality of robotic surgery training.
Collapse
|
6
|
Vanella S, Bottazzi EC, Farese G, Murano R, Noviello A, Palma T, Godas M, Crafa F. Minimally invasive colorectal surgery learning curve. World J Gastrointest Endosc 2022; 14:731-736. [PMID: 36438877 PMCID: PMC9693684 DOI: 10.4253/wjge.v14.i11.731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/01/2022] [Accepted: 10/31/2022] [Indexed: 11/14/2022] Open
Abstract
The learning curve in minimally invasive colorectal surgery is a constant subject of discussion in the literature. Discordant data likely reflects the varying degrees of each surgeon’s experience in colorectal, laparoscopic or robotic surgery. Several factors are necessary for a successful minimally invasive colorectal surgery training program, including: Compliance with oncological outcomes; dissection along the embryological planes; constant presence of an expert tutor; periodic discussion of the morbidity and mortality rate; and creation of a dedicated, expert team.
Collapse
Affiliation(s)
- Serafino Vanella
- Department of General and Oncology Surgery, A.O.R.N. San Giuseppe Moscati, Avellino 83100, Italy
| | - Enrico Coppola Bottazzi
- Department of General and Oncology Surgery, A.O.R.N. San Giuseppe Moscati, Avellino 83100, Italy
| | - Giancarlo Farese
- Department of General and Oncology Surgery, A.O.R.N. San Giuseppe Moscati, Avellino 83100, Italy
| | - Rosa Murano
- Department of General and Oncology Surgery, A.O.R.N. San Giuseppe Moscati, Avellino 83100, Italy
| | - Adele Noviello
- Department of General and Oncology Surgery, A.O.R.N. San Giuseppe Moscati, Avellino 83100, Italy
| | - Tommaso Palma
- Department of General and Oncology Surgery, A.O.R.N. San Giuseppe Moscati, Avellino 83100, Italy
| | - Maria Godas
- Department of General and Oncology Surgery, A.O.R.N. San Giuseppe Moscati, Avellino 83100, Italy
| | - Francesco Crafa
- Department of General and Oncology Surgery, A.O.R.N. San Giuseppe Moscati, Avellino 83100, Italy
| |
Collapse
|
7
|
Huang P, Li S, Li P, Jia B. The Learning Curve of Da Vinci Robot-Assisted Hemicolectomy for Colon Cancer: A Retrospective Study of 76 Cases at a Single Center. Front Surg 2022; 9:897103. [PMID: 35846959 PMCID: PMC9276975 DOI: 10.3389/fsurg.2022.897103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 06/08/2022] [Indexed: 11/13/2022] Open
Abstract
Background and Aims Robotic-assisted right hemicolectomy (RARH) has many benefits in treating colon cancer, but it is a new technology that needs to be evaluated. This study aims to assess the learning curve (LC) of RARH procedures with the complete mesoscopic exception and D3 lymph node dissection for colon carcinoma. Methods A retrospective analysis was performed on a consecutive series of 76 patients who underwent RARH from July 2014 to March 2018. The operation time was evaluated using the cumulative sum (CUSUM) method to analyze the LC. The patients were categorized into two groups based on the LC: Phase I and Phase II. Statistical methods were used to compare clinicopathological data on intraoperative and perioperative outcomes at different stages of the study. Results The peak point of the LC was observed in the 27th case. Using the CUSUM method, we divide the LC into two stages. Stage 1 (initial learning stage): Cases 1–27 and Stage 2 (proficiency phase): Cases 28–76. There were no obvious distinctions between the two patients’ essential characteristics (age, sex, body mass index, clinical stage, and ASA score). The mean operation time of each group is 187.37 ± 45.56 min and 161.1 ± 37.74 min (P = 0.009), respectively. The intraoperative blood loss of each group is 170.4 ± 217.2 ml and 95.7 ± 72.8 ml (P = 0.031), respectively. Conclusion Based on the LC with CUSUM analysis, the data suggest that the learning phase of RARH was achieved after 27 cases. The operation time and the intraoperative blood loss decrease with more cases performed.
Collapse
Affiliation(s)
- Pu Huang
- Medical School of Chinese PLA, Beijing, China
- Department of General Surgery, the First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Sen Li
- Medical School of Chinese PLA, Beijing, China
- Department of General Surgery, the First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Peng Li
- Department of General Surgery, the First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Baoqing Jia
- Medical School of Chinese PLA, Beijing, China
- Department of General Surgery, the First Medical Centre, Chinese PLA General Hospital, Beijing, China
- Correspondence: Baoqing Jia
| |
Collapse
|
8
|
Ferraro L, Formisano G, Salaj A, Giuratrabocchetta S, Giuliani G, Salvischiani L, Bianchi PP. Robotic right colectomy with complete mesocolic excision: Senior versus junior surgeon, a case‐matched retrospective analysis. Int J Med Robot 2022; 18:e2383. [DOI: 10.1002/rcs.2383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 02/17/2022] [Indexed: 11/11/2022]
Affiliation(s)
- Luca Ferraro
- Division of Minimally‐Invasive and Robotic Surgery, Dipartimento di Scienza della Salute Università degli studi di Milano ASST Santi Paolo e Carlo Milan Italy
| | - Giampaolo Formisano
- Division of Minimally‐Invasive and Robotic Surgery, Dipartimento di Scienza della Salute Università degli studi di Milano ASST Santi Paolo e Carlo Milan Italy
| | - Adelona Salaj
- Division of Minimally‐Invasive and Robotic Surgery, Dipartimento di Scienza della Salute Università degli studi di Milano ASST Santi Paolo e Carlo Milan Italy
| | - Simona Giuratrabocchetta
- Division of Minimally‐Invasive and Robotic Surgery, Dipartimento di Scienza della Salute Università degli studi di Milano ASST Santi Paolo e Carlo Milan Italy
| | - Giuseppe Giuliani
- Department of General and Minimally Invasive Surgery Misericordia Hospital Grosseto Italy
| | - Lucia Salvischiani
- Department of General and Minimally Invasive Surgery Misericordia Hospital Grosseto Italy
| | - Paolo Pietro Bianchi
- Division of Minimally‐Invasive and Robotic Surgery, Dipartimento di Scienza della Salute Università degli studi di Milano ASST Santi Paolo e Carlo Milan Italy
| |
Collapse
|
9
|
Huscher C, Marchegiani F, Cobellis F, Tejedor P, Pastor C, Lazzarin G, Wheeler J, Di Saverio S. Robotic oncologic colorectal surgery with a new robotic platform (CMR Versius): hope or hype? A preliminary experience from a full-robotic case-series. Tech Coloproctol 2022; 26:745-753. [PMID: 35637355 PMCID: PMC9360145 DOI: 10.1007/s10151-022-02626-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 04/22/2022] [Indexed: 12/16/2022]
Abstract
Background The present case-series describes the first full-robotic colorectal resections performed with the new CMR Versius platform (Cambridge Medical Robotics Surgical, 1 Evolution Business Park, Cambridge, United Kingdom) by an experienced robotic surgeon. Methods In a period between July 2020 and December 2020, patients aged 18 years or older, who were diagnosed with colorectal cancer and were fit for minimally invasive surgery, underwent robotic colorectal resection with CMR Versius robotic platform at “Casa di Cura Cobellis” in Vallo della Lucania,Salerno, Italy. Three right colectomies, 2 sigmoid colectomies and 1 anterior rectal resection were performed. All the procedures were planned as fully robotic. Surgical data were retrospectively reviewed from a prospectively collected database. Results Four patients were male and 2 patients were female with a median (range) age of 66 (47–72) years. One covering ileostomy was created. Full robotic splenic flexure mobilization was performed. No additional laparoscopic gestures or procedures were performed in this series except for clipping and stapling which were performed by the assistant surgeon due to the absence of robotic dedicated instruments. Two ileocolic anastomoses, planned as robotic-sewn, were performed extracorporeally. One Clavien–Dindo II complication occurred due to a postoperative blood transfusion. Median total operative time was 160 (145–294) min for right colectomies, 246 (191–300) min for sigmoid colectomies and 250 min for the anterior rectal resection. Conclusions The present series confirms the feasibility of full-robotic colorectal resections while highlighting the strengths and the limitations of the CMR Versius platform in colorectal surgery. New devices will need more clinical development to be comparable to the current standard. Supplementary Information The online version contains supplementary material available at 10.1007/s10151-022-02626-9.
Collapse
Affiliation(s)
- Cristiano Huscher
- Casa di Cura Cobellis, Vallo della Lucania, Salerno, Italy
- Department of Surgical Oncology, Robotics and New Technologies, Policlinico Abano, Padua, Italy
| | - Francesco Marchegiani
- Department of Surgical, Oncological and Gastroenterological Sciences, University of Padua, Padua, Italy
| | - Francesco Cobellis
- Casa di Cura Cobellis, Vallo della Lucania, Salerno, Italy
- University of Padua, Padua, Italy
| | - Patricia Tejedor
- Department of Colorectal Surgery, University Hospital Gregorio Marañon, Madrid, Spain
| | - Carlos Pastor
- Department of Colorectal Surgery, University Clinic of Navarre, Madrid-Pamplona, Spain
| | - Gianni Lazzarin
- Department of Surgical Oncology, Robotics and New Technologies, Policlinico Abano, Padua, Italy
| | - James Wheeler
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Salomone Di Saverio
- General Surgery Department "Paride Stefanini", La Sapienza University of Rome, Rome, Italy.
- Department of General Surgery, Madonna del Soccorso Hospital, Asur Marche Area Vasta 5, San Benedetto del Tronto, Ascoli Piceno, Italy.
- Brighton and Sussex University Medical School , Brighton, UK.
| |
Collapse
|
10
|
Is newer always better?: comparing cost and short-term outcomes between laparoscopic and robotic right hemicolectomy. Surg Endosc 2021; 36:2879-2885. [PMID: 34129087 DOI: 10.1007/s00464-021-08579-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 06/02/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Enthusiasm is high for expansion of robotic assisted surgery into right hemicolectomy. But data on outcomes and cost is lacking. Our objective was to determine the association between surgical approach and cost for minimally invasive right hemicolectomy. We hypothesized that a robot approach would have increased costs (both economic and opportunity) while achieving similar short-term outcomes. METHODS We performed a retrospective cohort analysis with a simulation of operating room utilization at a quaternary care, academic institution. We enrolled patients undergoing minimally invasive right hemicolectomy from November 2017 to August 2019. Patients were categorized by the intended approach- laparoscopic or robotic. The primary outcome was the technical variable direct cost. Secondary outcomes included total cost, supply cost, operating room utilization, operative time, conversion, length of stay and 30-day post-operative outcomes. RESULTS 79 patients were included in the study. A robotic approach was used in 22% of the cohort. The groups differed significantly only in etiology of surgery. Robotic surgery was associated with a 1.5 times increase in the technical variable direct cost (p < 0.001), increased supply cost (2.6 times; p < 0.001) and increased total cost (1.3 times; p < 0.001). Significant differences were observed in median room time (Robotic: 285 min vs. Laparoscopic: 170 min; p < 0.001) and procedure time (Robotic: 203 min vs. Laparoscopic: 118 min; p < 0.001). There were no differences observed in post-operative outcomes including length of stay or readmission. In a simulation of OR utilization, 45 laparoscopic right hemicolectomies could be performed in an OR in a month compared to 31 robotic cases. CONCLUSIONS Robotic right hemicolectomy was associated with increased costs with no improvement in post-operative outcomes. In a simulation of operating room efficiency, a robotic approach was associated with 14 fewer cases per month. Practitioners and administrators should be aware of the increased cost of a robotic approach.
Collapse
|
11
|
Guadagni S, Palmeri M, Bianchini M, Gianardi D, Furbetta N, Minichilli F, Di Franco G, Comandatore A, Di Candio G, Morelli L. Ileo-colic intra-corporeal anastomosis during robotic right colectomy: a systematic literature review and meta-analysis of different techniques. Int J Colorectal Dis 2021; 36:1097-1110. [PMID: 33486533 PMCID: PMC8119253 DOI: 10.1007/s00384-021-03850-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/15/2021] [Indexed: 02/05/2023]
Abstract
PURPOSE Robotic assistance could increase the rate of ileo-colic intra-corporeal anastomosis (ICA) during robotic right colectomy (RRC). However, although robotic ICA can be accomplished with several different technical variants, it is not clear whether some of these technical details should be preferred. An evaluation of the possible advantage of one respect to another would be useful. METHODS We conducted a systematic review of literature on technical details of robotic ileo-colic ICA, from which we performed a meta-analysis of clinical outcomes. The extracted data allowed a comparative analysis regarding the outcome of overall complication (OC), bleeding rate (BR) and leakage rate (LR), between (1) mechanical anastomosis with robotic stapler, versus laparoscopic stapler, versus totally hand-sewn anastomosis and (2) closure of enterocolotomy with manual double layer, versus single layer, versus stapled. RESULTS A total of 30 studies including 2066 patients were selected. Globally, the side-to-side, isoperistaltic anastomosis, realized with laparoscopic staplers, and double-layer closure for enterocolotomy, is the most common technique used. According to the meta-analysis, the use of robotic stapler was significantly associated with a reduction of the BR with respect to mechanical anastomosis with laparoscopic stapler or totally hand-sewn anastomosis. None of the other technical aspects significantly influenced the outcomes. CONCLUSIONS ICA fashioning during RRC can be accomplished with several technical variants without evidence of a clear superiority of anyone of these techniques. Although the use of robotic staplers could be associated with some benefits, further studies are necessary to draw conclusions.
Collapse
Affiliation(s)
- Simone Guadagni
- General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy
| | - Matteo Palmeri
- General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy
| | - Matteo Bianchini
- General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy
| | - Desirée Gianardi
- General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy
| | - Niccolò Furbetta
- General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy
| | - Fabrizio Minichilli
- Unit of Environmental Epidemiology and Disease Registries, Institute of Clinical Physiology, National Council of Research, Pisa, Italy
| | - Gregorio Di Franco
- General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy
| | - Annalisa Comandatore
- General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy
| | - Giulio Di Candio
- General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy
| | - Luca Morelli
- General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
- Endo-CAS (Center for Computer Assisted Surgery), University of Pisa, Pisa, Italy.
| |
Collapse
|
12
|
Comment on "Predictors for Anastomotic Leak, Postoperative Complications, and Mortality After Right Colectomy for Cancer: Results From an International Snapshot Audit". Dis Colon Rectum 2021; 64:e40. [PMID: 33417350 DOI: 10.1097/dcr.0000000000001908] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
|
13
|
Sarikaya H, Benhidjeb T, Iosivan SI, Kolokotronis T, Förster C, Eckert S, Wilkens L, Nasser A, Rehberg S, Krüger M, Schulte Am Esch J. Impact of ASA-score, age and learning curve on early outcome in the initiation phase of an oncological robotic colorectal program. Sci Rep 2020; 10:15136. [PMID: 32934256 PMCID: PMC7493955 DOI: 10.1038/s41598-020-72025-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Accepted: 08/12/2020] [Indexed: 02/06/2023] Open
Abstract
The ASA score is known to be an independent predictor of complications and mortality following colorectal surgery. We evaluated early outcome in the initiation phase of a robotic oncological colorectal resection program in dependence of comorbidity and learning curve. 43 consecutive colorectal cancer patients (median age: 74 years) who underwent robotic surgery were firstly analysed defined by physical status (group A = ASA1 + 2; group B = ASA3). Secondly, outcome was evaluated relating to surgery date (group E: early phase; group L: late phase). There were no differences among groups A and B with regard to gender, BMI, skin-to-skin operative times (STS), N- and M-status, hospital-stay as well as overall rate of complications according to Dindo-Clavien and no one-year mortality. GroupA when compared to group B demonstrated significantly lower mean age (65.5 years ± 11.4 years vs 75.8 years ± 8.9 years), T-stage and ICU-stay. When separately analyzed for patients age ICU-stay was comparable (> 75 years vs. < 75 years). Group E and L demonstrated comparable characteristics and early outcome except more frequent lymphatic fistulas in group E. STS was reduced in group L compared to group E. Beyond learning curve aspects in our series, we could demonstrate that patient's physical condition according to ASA rather than age may have an impact on early outcome in the initial phase of a robotic oncological colorectal program.
Collapse
Affiliation(s)
- Hülya Sarikaya
- Department of General and Visceral Surgery, Evangelisches Klinikum Bethel, Schildescher Str. 99, 33611, Bielefeld, Germany
| | - Tahar Benhidjeb
- Department of General and Visceral Surgery, Evangelisches Klinikum Bethel, Schildescher Str. 99, 33611, Bielefeld, Germany
- The New European Surgical Academy, Berlin, Germany
| | - Sergiu I Iosivan
- Department of General and Visceral Surgery, Evangelisches Klinikum Bethel, Schildescher Str. 99, 33611, Bielefeld, Germany
| | - Theodoros Kolokotronis
- Department of General and Visceral Surgery, Evangelisches Klinikum Bethel, Schildescher Str. 99, 33611, Bielefeld, Germany
| | | | - Stephan Eckert
- Department of Anaesthesiology, Intensive Care-, Emergency- and Pain-Medicine, Evangelisches Klinikum Bethel, Bielefeld, Germany
| | - Ludwig Wilkens
- Institute of Pathology, Clinic Region Hannover, Hannover, Germany
| | - Alaa Nasser
- Department of General and Visceral Surgery, Evangelisches Klinikum Bethel, Schildescher Str. 99, 33611, Bielefeld, Germany
| | - Sebastian Rehberg
- Department of Anaesthesiology, Intensive Care-, Emergency- and Pain-Medicine, Evangelisches Klinikum Bethel, Bielefeld, Germany
| | - Martin Krüger
- Department of Gastroenterology and Internal Medicine, Evangelisches Klinikum Bethel, Bielefeld, Germany
| | - Jan Schulte Am Esch
- Department of General and Visceral Surgery, Evangelisches Klinikum Bethel, Schildescher Str. 99, 33611, Bielefeld, Germany.
| |
Collapse
|
14
|
van der Schans EM, Hiep MAJ, Consten ECJ, Broeders IAMJ. From Da Vinci Si to Da Vinci Xi: realistic times in draping and docking the robot. J Robot Surg 2020; 14:835-839. [PMID: 32078114 PMCID: PMC7674320 DOI: 10.1007/s11701-020-01057-8] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Accepted: 02/15/2020] [Indexed: 02/07/2023]
Abstract
Robot-assisted surgery is assumed to be time consuming partially due to extra time needed in preparing the robot. The objective of this study was to give realistic times in Da Vinci Xi draping and docking and to analyse the learning curve in the transition from the Si to the Xi in an experienced team. This prospective study was held in a hospital with a high volume of robot-assisted surgery in general surgery, urology and gynaecology. Times from the moment patients entered the operating room until the surgeon took place behind console were precisely recorded during the first 6 weeks after the implementation of the Xi. In total, 65 procedures were performed and documented. The learning curve for the process of draping and docking the robot was reached after 21 and 18 cases, respectively. Mean times after completion of the learning curve were 5 min for draping and 7 min for docking and were statistically different from mean times before completion of the learning curve (p values < 0.01). In dedicated teams netto extra time needed for preparing the Xi can even be reduced to just the time needed for docking. Thus, setting up the robot should have limited impact on overall time spent in the operation room.
Collapse
Affiliation(s)
- Emma M van der Schans
- Department of Surgery, Meander Medical Center, Maatweg 3, Amersfoort, The Netherlands. .,Faculty of Electrical Engineering, Mathematics and Computer Science, Institute of Technical Medicine, University of Twente, Drienerlolaan 5, Enschede, The Netherlands.
| | - Marijn A J Hiep
- Faculty of Electrical Engineering, Mathematics and Computer Science, Institute of Technical Medicine, University of Twente, Drienerlolaan 5, Enschede, The Netherlands
| | - Esther C J Consten
- Department of Surgery, Meander Medical Center, Maatweg 3, Amersfoort, The Netherlands.,Department of Surgery, University Medical Center Groningen, Hanzeplein 1, Groningen, The Netherlands
| | - Ivo A M J Broeders
- Department of Surgery, Meander Medical Center, Maatweg 3, Amersfoort, The Netherlands.,Faculty of Electrical Engineering, Mathematics and Computer Science, Institute of Technical Medicine, University of Twente, Drienerlolaan 5, Enschede, The Netherlands
| |
Collapse
|
15
|
Lee JM, Yang SY, Han YD, Cho MS, Hur H, Min BS, Lee KY, Kim NK. Can better surgical outcomes be obtained in the learning process of robotic rectal cancer surgery? A propensity score-matched comparison between learning phases. Surg Endosc 2020; 35:770-778. [PMID: 32055993 DOI: 10.1007/s00464-020-07445-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 02/10/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Although studies of robotic rectal cancer surgery have demonstrated the effects of learning on operation time, comparisons have failed to demonstrate differences in clinicopathological outcomes between unadjusted learning phases. This study aimed to investigate the learning curve of robotic rectal cancer surgery for clinicopathological outcomes and compare surgical outcomes between adjusted learning phases. Study design We enrolled 506 consecutive patients with rectal adenocarcinoma who underwent robotic resection by a single surgeon between 2007 and 2018. Risk-adjusted cumulative sum (RA-CUSUM) for surgical failure was used to analyze the learning curve. Surgical failure was defined as the occurrence of any of the following: conversion to open surgery, severe complications (Clavien-Dindo grade ≥ 3a), insufficient number of harvested lymph nodes (LNs), or R1 resection. Comparisons between learning phases analyzed by RA-CUSUM were performed before and after propensity score matching. RESULTS In RA-CUSUM analysis, the learning curve was divided into two learning phases: phase 1 (1st-177th cases, n = 177) and phase 2 (178th-506th cases, n = 329). Before matching, patients in phase 2 had deeper tumor invasion and higher rates of positive LNs on pretreatment images and preoperative chemoradiotherapy. After matching, phase 1 (n = 150) and phase 2 (n = 150) patients exhibited similar clinical characteristics. Phase 2 patients had lower rates of surgical failure overall and these components: conversion to open surgery, severe complications, and insufficient harvested LNs. CONCLUSIONS For robotic rectal cancer surgery, surgical outcomes improved after the 177th case. Further studies by other robotic surgeons are required to validate our results.
Collapse
Affiliation(s)
- Jong Min Lee
- Division of Colorectal Surgery, Department of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-Gu, Seoul, 03722, Korea
| | - Seung Yoon Yang
- Division of Colorectal Surgery, Department of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-Gu, Seoul, 03722, Korea
| | - Yoon Dae Han
- Division of Colorectal Surgery, Department of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-Gu, Seoul, 03722, Korea
| | - Min Soo Cho
- Division of Colorectal Surgery, Department of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-Gu, Seoul, 03722, Korea
| | - Hyuk Hur
- Division of Colorectal Surgery, Department of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-Gu, Seoul, 03722, Korea
| | - Byung Soh Min
- Division of Colorectal Surgery, Department of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-Gu, Seoul, 03722, Korea
| | - Kang Young Lee
- Division of Colorectal Surgery, Department of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-Gu, Seoul, 03722, Korea
| | - Nam Kyu Kim
- Division of Colorectal Surgery, Department of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-Gu, Seoul, 03722, Korea.
| |
Collapse
|
16
|
Totally robotic right hemicolectomy: a multicentre case-matched technical and peri-operative comparison of port placements and da Vinci models. J Robot Surg 2019; 14:479-491. [PMID: 31468314 DOI: 10.1007/s11701-019-01014-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 08/22/2019] [Indexed: 02/06/2023]
Abstract
The objective of the study was to review the technical and peri-operative outcomes using the da Vinci Xi (dVXi) and da Vinci Si (dVSi) models with suprapubic port placement (SPPP) or traditional port placements (TPP) during a robotic right hemicolectomy (RRHC). A retrospective review was undertaken of prospectively maintained databases of RRHC performed by two senior colorectal surgeons in the USA and Australia. Data were prospectively collected for patient demographics, intra-operative technical outcomes and peri-operative clinical outcomes. A cohort of 138 patients underwent RRHC between 2013 and 2017: 134 (97%) had intra-corporeal anastomoses (ICA), 50% for polyp disease and 38% for cancer. 16 (12%) patients had post-operative complications, 11 (8%) of whom had only one complication. There were five (4%) anaemias requiring transfusion; five (4%) anastomotic bleeds; one (1%) leucocytosis/sepsis; two (1%) paralytic ileus; and two (1%) delayed readmissions. There were no conversions to open operations, anastomotic leaks, 30-day readmissions, or 30-day mortalities. With dVSi compared to dVXi, median (IQR) total operation time (TOT) reduced by 16% [134 (118-169) min versus 113 (90-132), p < 0.001]. dVXi had shorter console times (CST) [75 (62-97) min vs 94 (77-108), p = 0.004]. SPPP seemed more advantageous than TPP with less CST [75 (60-98) min versus 85 (70-106), p = 0.02]; less TOT [110 (90-130) min versus 130 (108-167), p < 0.001]; and shorter LOS [2 (2-3) days versus 3(2-3), p = 0.03]. There are operative technical improvements and peri-operative patient clinical benefits during RRHC with ICA using either da Vinci models or port placement configurations. It appears more advantageous to use dVXi with SPPP configuration as our preferred setup for RHHC. Many gastrointestinal surgeons foresee potential benefits of robotic surgery (RS) over conventional laparoscopic surgery, hence evaluation of RS in both routine and more complex operations is needed (Kwak and Kim in J Robot Surg 5:65-72, 2011).
Collapse
|
17
|
A systematic review of the learning curve in robotic surgery: range and heterogeneity. Surg Endosc 2018; 33:353-365. [DOI: 10.1007/s00464-018-6473-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Accepted: 09/20/2018] [Indexed: 12/18/2022]
|
18
|
Abstract
Robotic surgery is safe and feasible offering many potential advantages to the colorectal surgeon.
Collapse
Affiliation(s)
| | - D G Jayne
- St James's University Hospital, Leeds
| |
Collapse
|