Construct validity for eye–hand coordination skill on a virtual reality laparoscopic surgical simulator

Yamaguchi, Shohei; Konishi, Kozo; Yasunaga, Tomohide; Yoshida, Daisuke; Kinjo, Nao; Kobayashi, Kiroku; Ieiri, Satoshi; Okazaki, Ken; Nakashima, Hiroaki; Tanoue, Kazuo; Maehara, Yoshihiko; Hashizume, Makoto

doi:10.1007/s00464-007-9362-1

Cited by 71 publications

(50 citation statements)

References 28 publications

(24 reference statements)

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“…EVA showed good construct validity both for 2D and 3D metrics. Time, path length, and depth are common parameters, which have been validated in many clinical studies [11,[44][45][46][47][48]. Average speed and acceleration are less widespread metrics, but also showed good discriminative scores [11,44,49].…”

Section: Discussionmentioning

confidence: 99%

EVA: Laparoscopic Instrument Tracking Based on Endoscopic Video Analysis for Psychomotor Skills Assessment

et al. 2012

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Section: Discussionmentioning

confidence: 99%

EVA: Laparoscopic Instrument Tracking Based on Endoscopic Video Analysis for Psychomotor Skills Assessment

et al. 2012

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“…Time to completion has been a popular parameter to evaluate surgical skills in arthroscopic and endoscopic training [2,8,12,15,18], although it cannot clarify the details of psychomotor skills in which the trainee lacks. These results of score and time data support the hypothesis that individuals with more experience in performing actual arthroscopic procedures also will perform better in simulated tasks.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Skills in Arthroscopic Training Based on Trajectory and Force Data

Tashiro

Miura

Nakanishi

et al. 2009

Clinical Orthopaedics &Amp; Related Research

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Objective evaluation of surgical skills is essential for an arthroscopic training system. We asked whether a quantitative assessment of arthroscopic skills using scores, time to completion, instrument tip trajectory data, and force data was valid. We presumed more experienced surgeons would perform better on a simulated arthroscopic procedure than novices, therefore validating the quantitative assessment. Surgical trainees (n = 12), orthopaedic residents (n = 12), and experienced arthroscopic surgeons (n = 6) were tested on a Sawbones 1 knee simulator. Subjects performed a joint inspection and probing task and a partial meniscectomy task. The trajectory data were measured using an electromagnetic motion tracking system and the force data were measured using a force sensor. The experienced group performed both tasks with higher scores and more quickly than the less experienced groups. The path length of the probe and the scissors was substantially shorter and the probe velocity was considerably faster in the experienced group. The trainee group applied substantially stronger forces to the joint during the joint inspection and probing task. Our data suggest a performance assessment using an electromagnetic motion tracking system and a force sensor provides an objective means of evaluating surgical skills in an arthroscopic training system.

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“…However, depending on the nature and difficultness of the task, these metrics might not always show significant differences [57]. For these same tasks, a number of studies have shown that speed of movements can be a differentiating aspect [29,31,48]. This may partly be due to the difficulty of determining an optimal path, which in any case will depend on the task's goal.…”

Section: Clinical Definition Of Metricsmentioning

confidence: 99%

Methods and Tools for Objective Assessment of Psychomotor Skills in Laparoscopic Surgery

García

Sánchez-González

Lamata

et al. 2011

Journal of Surgical Research

131

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Training and assessment paradigms for laparoscopic surgical skills are evolving from traditional mentortrainee tutorship towards structured, more objective and safer programs. Accreditation of surgeons requires reaching a consensus on metrics and tasks used to assess surgeons' psychomotor skills. Ongoing development of tracking systems and software Solutions has allowed for the expansión of novel training and assessment means in laparoscopy. The current challenge is to adapt and include these systems within training programs, and to exploit their possibilities for evaluation purposes. This paper describes the state of the art in research on measuring and assessing psychomotor laparoscopic skills. It gives an overview on tracking systems as well as on metrics and advanced statistical and machine learning techniques employed for evaluation purposes. The later ones have a potential to be used as an aid in deciding on the surgical competence level, which is an important aspect when accreditation of the surgeons in particular, and patient safety in general, are considered. The prospective of these methods and tools make them complementary means for surgical assessment of motor skills, especially in the early stages of training. Successful examples such as the Fundamentáis of Laparoscopic Surgery should help drive a paradigm change to structured curricula based on objective parameters. These may improve the accreditation of new surgeons, as 1 To whom correspondence and reprint requests should be addressed at Bioengineering and Telemedicine Centre (GBT), ETSI Telecomunicación, Universidad Politécnica de Madrid (UPM). Avda Complutense, 30, 28040, Madrid, Spain. E-mail: ioropesa@gbt.tfo. upm.es. well as optimize their already overloaded training schedules.

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Construct validity for eye–hand coordination skill on a virtual reality laparoscopic surgical simulator

Cited by 71 publications

References 28 publications

EVA: Laparoscopic Instrument Tracking Based on Endoscopic Video Analysis for Psychomotor Skills Assessment

EVA: Laparoscopic Instrument Tracking Based on Endoscopic Video Analysis for Psychomotor Skills Assessment

Evaluation of Skills in Arthroscopic Training Based on Trajectory and Force Data

Methods and Tools for Objective Assessment of Psychomotor Skills in Laparoscopic Surgery

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