Motion analysis of suturing technique with Leap Motion Controller<sup>TM</sup>. Proof-of-concept

Tsuyuki, Shota; Hoshina, Katsuyuki; Miyahara, Kensuke; Suhara, Masamitsu; Matsukura, Mitsuru; Isaji, Toshihiko; Takayama, Tadatoshi

doi:10.1177/00368504221103777

Cited by 3 publications

(3 citation statements)

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“…In our previous study, we demonstrated the usefulness of the LMC as an educational tool for anastomosis training for surgeons [7]. There are various tools and systems to track a surgeon's procedural skills and provide educational feedback [10][11][12][13]; however, a majority of them are too heavily equipped and may be too expensive to be implemented easily in all facilities.…”

Section: Discussionmentioning

confidence: 99%

“…In the present study, the captured data of the hand movements were converted into a graph of time and angle of the elements via the LMC. Among the four elements, only “roll” showed a significant difference between the novice and expert groups [ 7 ] (Table 1 ); we therefore chose it to evaluate training proficiency.…”

Section: Methodsmentioning

confidence: 99%

“…1 A). We have been using this device as an educational tool for suturing skills and have previously reported that the “roll” movement effectively reflects the described skills [ 7 ]. In addition, we have integrated an off-the-job training (Off-JT) system (dry laboratory) in our department for medical students and young surgeons [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

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Motion capture device reveals a quick learning curve in vascular anastomosis training

et al. 2023

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Purpose Surgical procedures are often evaluated subjectively, and an objective evaluation has been considered difficult to make and rarely reported, especially in open surgery, where the range of motion is wide. This study evaluated the effectiveness of surgical suturing training as an educational tool using the Leap Motion Controller (LMC), which can capture hand movements and reproduce them as data comprising parametric elements. Methods We developed an off-the-job training system (Off-JT) in our department, mainly using prosthetic grafts and various anastomotic methodologies with graded difficulty levels. We recruited 50 medical students (novice group) and 6 vascular surgeons (expert group) for the study. We evaluated four parameters for intraoperative skills: suturing time, slope of the roll, smoothness, and rate of excess motion. Results All 4 parameters distinguished the skill of the novice group at 1 and 10 h off-JT. After 10 h of off-JT, all 4 parameters of the novices were comparable to those of the expert group. Conclusion Our education system using the LMC is relatively inexpensive and easy to set up, with a free application for analyses, serving as an effective and ubiquitous educational tool for young surgeons.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Motion capture device reveals a quick learning curve in vascular anastomosis training

et al. 2023

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An objective skill assessment framework for microsurgical anastomosis based on ALI scores

Gholami,

Manon,

Yao

et al. 2024

Acta Neurochir

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Introduction The current assessment and standardization of microsurgical skills are subjective, posing challenges in reliable skill evaluation. We aim to address these limitations by developing a quantitative and objective framework for accurately assessing and enhancing microsurgical anastomosis skills among surgical trainees. We hypothesize that this framework can differentiate the proficiency levels of microsurgeons, aligning with subjective assessments based on the ALI score. Methods We select relevant performance metrics from the literature on laparoscopic skill assessment and human motor control studies, focusing on time, instrument kinematics, and tactile information. This information is measured and estimated by a set of sensors, including cameras, a motion capture system, and tactile sensors. The recorded data is analyzed offline using our proposed evaluation framework. Our study involves 12 participants of different ages ($$35.42\pm 9.78$$ 35.42 ± 9.78 years) and genders (nine males and three females), including six novice and six intermediate subjects, who perform surgical anastomosis procedures on a chicken leg model. Results We show that the proposed set of objective and quantitative metrics to assess skill proficiency aligns with subjective evaluations, particularly the ALI score method, and can effectively differentiate novices from more proficient microsurgeons. Furthermore, we find statistically significant disparities, where microsurgeons with intermediate level of skill proficiency surpassed novices in both task speed, reduced idle time, and smoother, briefer hand displacements. Conclusion The framework enables accurate skill assessment and provides objective feedback for improving microsurgical anastomosis skills among surgical trainees. By overcoming the subjectivity and limitations of current assessment methods, our approach contributes to the advancement of surgical education and the development of aspiring microsurgeons. Furthermore, our framework emerges to precisely distinguish and classify proficiency levels (novice and intermediate) exhibited by microsurgeons.

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Development of a System for Determining Technique Level of Vascular Anastomosis Using Hand Motion

Chen,

Shoji,

Kowatari

et al. 2024

JRM

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In off-pump coronary artery bypass grafting (OPCAB), the coronary arteries are joined as the heart beats. This procedure requires high skill and experience to be performed reliably and quickly. Although training kits are commonly used for technical training, the inability of trainees to always be with experienced surgeons for guidance and to receive immediate evaluation remains problematic. To address this problem, a system that allows a single trainee to observe and quantitatively evaluate the procedures performed by an experienced surgeon is being developed. In this study, to analyze the differences between the motions of experienced and novice surgeons, Leap Motion was used to measure the hand motion of the vascular anastomosis performed by both surgeons using a training kit. Using the measured data, the features of the vascular anastomosis surgical techniques performed by experienced and novices were tested using the Mann–Whitney U test. In addition, a binary classification was performed using machine learning with these features. The binary classification results show that trainees can be classified as experts or novices with high accuracy using the developed system.

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Motion analysis of suturing technique with Leap Motion Controller^TM. Proof-of-concept

Cited by 3 publications

References 10 publications

Motion capture device reveals a quick learning curve in vascular anastomosis training

Motion capture device reveals a quick learning curve in vascular anastomosis training

An objective skill assessment framework for microsurgical anastomosis based on ALI scores

Development of a System for Determining Technique Level of Vascular Anastomosis Using Hand Motion

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Motion analysis of suturing technique with Leap Motion ControllerTM. Proof-of-concept

Cited by 3 publications

References 10 publications

Motion capture device reveals a quick learning curve in vascular anastomosis training

Motion capture device reveals a quick learning curve in vascular anastomosis training

An objective skill assessment framework for microsurgical anastomosis based on ALI scores

Development of a System for Determining Technique Level of Vascular Anastomosis Using Hand Motion

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Product

Resources

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Motion analysis of suturing technique with Leap Motion Controller^TM. Proof-of-concept