Effectiveness of short-term endoscopic surgical skill training for young pediatric surgeons: a validation study using the laparoscopic fundoplication simulator

Jimbo, Takahiro; Ieiri, Satoshi; Obata, Satoshi; Uemura, Munenori; Souzaki, Ryota; Matsuoka, Noriyuki; Katayama, Tamotsu; Masumoto, Kouji; Hashizume, Makoto; Taguchi, Tomoaki

doi:10.1007/s00383-015-3776-y

Cited by 22 publications

(3 citation statements)

References 10 publications

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“…We have seen statistical significance improvements after only 6 hours of fully mentored and telementored hands-on sessions. Other short-term trainings also have demonstrated to be effective [ 22 ]. We can propose to prove retention and transfer of the skill into clinical practice by doing at least a 6-month follow up of the participants in the operating room.…”

Section: Discussionmentioning

confidence: 99%

Comparative effectiveness of telesimulation versus standard simulation for pediatric Minimally Invasive Surgery (MIS) essential skills training

Georgina

Yang

Silva

et al. 2023

Journal of Pediatric Surgery

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Section: Discussionmentioning

confidence: 99%

Comparative effectiveness of telesimulation versus standard simulation for pediatric Minimally Invasive Surgery (MIS) essential skills training

Georgina

Yang

Silva

et al. 2023

Journal of Pediatric Surgery

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“…E NDOSCOPIC surgery has been more and more practiced in nasal surgery in recent years because of its less trauma and quick recover [1]- [3], the number of nasal surgery videos was continuously booming. These videos provided a great basis for documentation, training of young surgeons [4], medical research [5] and analytics in healthcare [6].…”

Section: Introductionmentioning

confidence: 99%

Multi-Granular Semantic Analysis Based on Nasal Endoscopic Video

et al. 2020

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The semantic analysis of nasal endoscopic video is a challenging task since lots of irrelevant and insignificant information exists in the untrimmed surgical video, i.e. background, blur, judder or bloodstained video fragments. It is important to identify the start and end point of the valid surgical fragments automatically and remove the invalid fragments of endoscopic surgery videos for medical education & research. However, the performance of deep-learning based methods, which use a fixed time interval and a sliding window, are severely affected when the interference information appears randomly in the nasal endoscopic video. Specifically, the surgical video is a continuous process globally, while many local discontinuity fragments are brought when endoscope enters and exits the cavity frequently. Hence, we propose a multi-granularity semantic analysis framework that can simultaneously meet the accuracy and timeliness required for endoscopic surgery video semantic analysis. Our approach is an end-to-end solution. First, a joint model is created to extract the temporal-spatial features of the surgical video on a coarse-grained scale. Meanwhile, an attention mechanism is used to automatically select the informative spatial features of endoscopic video. Second, a hierarchical self-correction module is proposed to correct the boundaries of the surgical operation iteratively on a fine-grained scale. Finally, we justify the proposed network through extensive experiments and quantitative comparisons against other state-of-the-art approaches. We achieve a good performance in terms of accuracy and efficiency.

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“…For this reason, as MIS use has expanded in pediatric populations, training programs have sought to develop pediatric-specific training approaches and simulators. Small box trainers simulating the smaller pediatric body cavity have been developed and validated by Jimbo et al [ 24 ] and Ieiri et al [ 25 ]. Each group demonstrated the validity of their custom simulator using the Objective Structured Assessment of Technical Skills (OSATS) [ 26 ].…”

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confidence: 99%

Automatically rating trainee skill at a pediatric laparoscopic suturing task

et al. 2017

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BackgroundMinimally invasive surgeons must acquire complex technical skills while minimizing patient risk, a challenge that is magnified in pediatric surgery. Trainees need realistic practice with frequent detailed feedback, but human grading is tedious and subjective. We aim to validate a novel motion-tracking system and algorithms that automatically evaluate trainee performance of a pediatric laparoscopic suturing task.MethodsSubjects (n = 32) ranging from medical students to fellows performed two trials of intracorporeal suturing in a custom pediatric laparoscopic box trainer after watching a video of ideal performance. The motions of the tools and endoscope were recorded over time using a magnetic sensing system, and both tool grip angles were recorded using handle-mounted flex sensors. An expert rated the 63 trial videos on five domains from the Objective Structured Assessment of Technical Skill (OSATS), yielding summed scores from 5 to 20. Motion data from each trial were processed to calculate 280 features. We used regularized least squares regression to identify the most predictive features from different subsets of the motion data and then built six regression tree models that predict summed OSATS score. Model accuracy was evaluated via leave-one-subject-out cross-validation.ResultsThe model that used all sensor data streams performed best, achieving 71% accuracy at predicting summed scores within 2 points, 89% accuracy within 4, and a correlation of 0.85 with human ratings. 59% of the rounded average OSATS score predictions were perfect, and 100% were within 1 point. This model employed 87 features, including none based on completion time, 77 from tool tip motion, 3 from tool tip visibility, and 7 from grip angle.ConclusionsOur novel hardware and software automatically rated previously unseen trials with summed OSATS scores that closely match human expert ratings. Such a system facilitates more feedback-intensive surgical training and may yield insights into the fundamental components of surgical skill.Electronic supplementary materialThe online version of this article (doi:10.1007/s00464-017-5873-6) contains supplementary material, which is available to authorized users.

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Effectiveness of short-term endoscopic surgical skill training for young pediatric surgeons: a validation study using the laparoscopic fundoplication simulator

Abstract: Pediatric surgery trainees improved their surgical skills after receiving short-term training. We demonstrated the effectiveness of our training program, which utilized a new laparoscopic fundoplication simulator.

Cited by 22 publications

References 10 publications

Comparative effectiveness of telesimulation versus standard simulation for pediatric Minimally Invasive Surgery (MIS) essential skills training

Comparative effectiveness of telesimulation versus standard simulation for pediatric Minimally Invasive Surgery (MIS) essential skills training

Multi-Granular Semantic Analysis Based on Nasal Endoscopic Video

Automatically rating trainee skill at a pediatric laparoscopic suturing task

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