A Virtual Reality Training Curriculum for Laparoscopic Colorectal Surgery

Beyer-Berjot, Laura; Berdah, Stéphane; Hashimoto, Daniel A.; Darzi, Ara; Aggarwal, Rajesh

doi:10.1016/j.jsurg.2016.05.012

Cited by 42 publications

(40 citation statements)

References 37 publications

(56 reference statements)

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“…This leads to a shortened learning curve and preserves the operative quality homogeneously [10]. Second, manipulation and situational training became very effective through virtual simulation systems and educational programmes on multimedia, which were not widely available in the early 2000s [28][29][30], leading to improved personal skills and knowledge. Third, the participation of experienced surgeons as supervisors became increasingly popular in clinical practice [8,16].…”

Section: Discussionmentioning

confidence: 99%

Does the Endoscopic Surgical Skill Qualification System Improve Patients’ Outcome Following Laparoscopic Surgery for Colon Cancer? A Multicentre, Retrospective Analysis with Propensity Score Matching.

Kazama

Numata

Aoyama

et al. 2020

Preprint

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Background: This study aimed to investigate the short-term and oncological impact of the Endoscopic Surgical Skill Qualification System (ESSQS) by the Japan Society for Endoscopic Surgery on the operator performing laparoscopic surgery for colon cancer.Methods: This retrospective cohort study was based on medical records from a multicentre database. A total of 417 patients diagnosed with stage II/III colon and rectosigmoid cancer treated with curative resection were divided into two groups according to whether they were operated on by qualified surgeons (Q group, n=352) or not (NQ group, n=65). Through strict propensity score matching, 98 cases (49 in each group) were assessed.Results: Operative time was significantly longer in the NQ group than in the Q group (199 vs. 168 min, p=0.029). The amount of blood loss, post-operative complications, and duration of hospitalisation were similar between both groups. No mortality was observed. One conversion case was seen in the NQ group. The 3-year recurrence-free survival rate was 86.6% in the NQ group and 88.2% in the Q group, which was not statistically significant (log-rank p=0.966).Conclusion: Direct operation by ESSQS-qualified surgeons contributed to a shortened operation time. Under an organised educational environment, almost equivalent safety and oncological outcomes are expected regardless of the surgeon’s qualifications.

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Section: Discussionmentioning

confidence: 99%

Does the Endoscopic Surgical Skill Qualification System Improve Patients’ Outcome Following Laparoscopic Surgery for Colon Cancer? A Multicentre, Retrospective Analysis with Propensity Score Matching.

Kazama

Numata

Aoyama

et al. 2020

Preprint

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“…In addition, increasing the playable area provides significantly more options for actions, and high-performance computers and tuning of neural networks will be needed for more complex tasks. 3D operation models are currently being developed and are used in Artificial Intelligence -Emerging Trends and Applications practice for endoscopic surgery simulation [11][12][13][14]. The speed at which high-performance…”

Section: Discussionmentioning

confidence: 99%

Can Reinforcement Learning Be Applied to Surgery?

Sato¹,

Koga²,

Fujii³

et al. 2018

Artificial Intelligence - Emerging Trends and Applications

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Background: Remarkable progress has recently been made in the field of artificial intelligence (AI). Objective: We sought to investigate whether reinforcement learning could be used in sur gery in the future. Methods: We created simple 2D tasks (Tasks 1-3) that mimicked surgery. We used a neu ral network library, Keras, for reinforcement learning. In Task 1, a Mac OS X with an 8 GB memory (MacBook Pro, Apple, USA) was used. In Tasks 2 and 3, a Ubuntu 14. 04LTS with a 26 GB memory (Google Compute Engine, Google, USA) was used. Results: In the task with a relatively small task area (Task 1), the simulated knife finally passed through all the target areas, and thus, the expected task was learned by AI. In con trast, in the task with a large task area (Task 2), a drastically increased amount of time was required, suggesting that learning was not achieved. Some improvement was observed when the CPU memory was expanded and inhibitory task areas were added (Task 3). Conclusions: We propose the combination of reinforcement learning and surgery. Appli cation of reinforcement learning to surgery may become possible by setting rules, such as appropriate rewards and playable (operable) areas, in simulated tasks.

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“…VR simulators have become widespread in the last decade to improve psychomotor learning outcomes in laparoscopic surgery and natural orifice transluminal endoscopic surgery (NOTES) [28,29]. However, there is no virtual reality-based simulation for colorectal ESD.…”

Section: Esd Training In the United Statesmentioning

confidence: 99%