Transferability of robotic console skills by early robotic surgeons: a multi-platform crossover trial of simulation training

Larkins, Kirsten; Mohan, Helen; Gray, Matthew; Costello, Daniel; Costello, Anthony J.; Heriot, Alexander G.; Warrier, Satish

doi:10.1007/s11701-022-01475-w

Cited by 22 publications

(27 citation statements)

References 22 publications

(28 reference statements)

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“…Although the two platforms are different in design and handling, robotic skills learned and daily applied feel transferable so far. Recent published evidence on simulation trainers, seem to validate our “intangible” experience, signifying that in large medical centres, robotic platform exclusivity is far from mandatory ( 27 ).…”

Section: Discussionmentioning

confidence: 65%

Feasibility of Roux-en-Y Gastric Bypass with the novel robotic platform HUGO™ RAS

et al. 2023

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IntroductionRobotic assisted surgery is a rapidly developing field of minimally invasive bariatric surgery in the last 20 years. Its wide diffusion has led to the development and standardization of robotic assisted approaches for bariatric operations. In this study, we present the first four Roux-en-Y Gastric Bypass (RYGB) operations performed with the new Hugo™ RAS system (Medtronic, Minneapolis, MN, USA).MethodsIn January and February 2023, 4 consecutive patients scheduled for minimal invasive Roux-en-Y-Bypass were selected and underwent the procedure robotic-assisted with the new platform. No exclusion criteria were applied.ResultsFour patients, two females and two males, underwent RYGB with a median BMI of 40 Kg/m2 (range: 36–46) and diabetes mellitus in two cases. The median docking time was 8 min (range: 7–8.5) and the median console time was 127.5 min (range: 95–150). A description of the operating theatre, robotic arms and docking setup is provided. Procedures were performed without intraoperative complications and no conversion to laparoscopy or open surgery was noted. No additional ports were needed to be placed. System's function and docking were uneventful. No early post-operative complications were observed.ConclusionsBased on our initial experience, RYGB with the Hugo™ RAS system is feasible. This study provides the configurations necessary to perform RYGB with the Hugo™ RAS system as well as general information and insights from our preliminary experience.

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Section: Discussionmentioning

confidence: 65%

Feasibility of Roux-en-Y Gastric Bypass with the novel robotic platform HUGO™ RAS

et al. 2023

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“…Data on OR times is summarized in Table 2. 12), representing from 2 to 10% of the OT. By subtracting console time and docking time to the overall OT, we were also able to calculate the time required for port placement, exploratory laparoscopy, and the time from when the surgeon stopped using the console up to the last stitch.…”

Section: Resultsmentioning

confidence: 99%

“…As with any new surgical technology, the bene ts and limitations of each robotic system should be carefully considered before drawing any conclusion. In particular, their features need to be compared to pre-existing techniques and systems [12].…”

Section: Introductionmentioning

confidence: 99%

Robotic Docking Time with the HugoTM RAS system in gynecologic surgery: A procedure independent learning curve using the Cumulative Summation Analysis (CUSUM)

Panico

Mastrovito

Campagna

et al. 2023

Preprint

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Robot-assisted surgery has been proven to offer improvements in term of surgical learning curve and feasibility of minimally invasive surgery, but has often been criticized for its longer operative times compared to conventional laparoscopy. Additional times can be split into time required for system set-up, robotic arms docking and calibration of robotic instruments; secondly, surgeon’s learning curve. One of the newest systems recently launched on the market is the Hugo™ RAS (MEDTRONIC Inc, United States). As some of the earliest adopters of the Hugo™ RAS system technology, we present our data on robotic docking learning curve for the first 192 gynecologic robotic cases performed at our institution. Our data indicates that robotic set-up and docking with the new Hugo™ RAS robotic surgical system can be performed time-effectively and that the specific robotic docking learning curve is comparable to preexisting data for other platforms. This preliminary insights into this recently released system may be worthwhile for other centers which may soon adopt this new technology and may need some relevant information on topics such as OR times. Further studies are necessary to assess the different features of the Hugo™ RAS considering other technical and surgical aspects, to fully become familiar with this novel technology.

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“…Fifty full-text articles were reviewed, and three studies were eligible for inclusion. Through manual reference harvesting one further paper was identified (Figure 2 ) [ 21 - 24 ].…”

Section: Reviewmentioning

confidence: 99%

“…Studies ranged in size from 10 to 71 participants (Table 4 ) [ 21 - 24 ]. Experience ranged broadly.…”

Section: Reviewmentioning

confidence: 99%

Transferability of Technical Skills Across Robotic Surgery Platforms: A Scoping Review

Devine,

Morris,

Kavanagh

2024

Cureus

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As the application of robotic approaches to surgery continues to broaden, new consoles have been introduced to the market. Due to the global utilization of a single platform, previously validated curricula have not been assessed on new robotic systems. Surgery by its nature occurs in a high-stakes environment, potentially exacerbated by non-standardized robotic systems. The aim of this review is to critique the evidence available regarding the transferability of technical skills across robotic platforms. A scoping review utilizing the Medline (Pubmed) and Cochrane Databases was conducted. Full texts were reviewed and appraised. Selected articles were eligible for inclusion if they investigated the ability or implications of the transfer of skill across robotic platforms. Data was extracted, coded inductively, and themes synthesized. NVIVO software was used as an adjunct for this qualitative analysis. Following the removal of duplicates a total of 278 papers were screened according to the eligibility criteria. Fifty full-text articles were reviewed and four met the criterion for inclusion. Novices’ performance across platforms was comparable. Increasing levels of prior robotic experience revealed an improvement in technical performance on a novel robotic platform. Safety metrics appear comparable across systems. Quantifying learning curves across robotic platforms and their implications for the robotic surgeon in training remains to be determined. Future research needs to address the gaps in the literature by clearly defining the extent of technical skills transfer between robotic platforms. These factors will guide the next iteration of surgical training curriculums and regulations for robotic surgery.

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Transferability of robotic console skills by early robotic surgeons: a multi-platform crossover trial of simulation training

Cited by 22 publications

References 22 publications

Feasibility of Roux-en-Y Gastric Bypass with the novel robotic platform HUGO™ RAS

Feasibility of Roux-en-Y Gastric Bypass with the novel robotic platform HUGO™ RAS

Robotic Docking Time with the HugoTM RAS system in gynecologic surgery: A procedure independent learning curve using the Cumulative Summation Analysis (CUSUM)

Transferability of Technical Skills Across Robotic Surgery Platforms: A Scoping Review

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