Construct validity of a video-tracking system based on orthogonal cameras approach for objective assessment of laparoscopic skills

Pérez-Escamirosa, Fernando; Chousleb-Kalach, Alberto; Hernández-Baro, Maria del Carmen; Sánchez‐Margallo, Juan A.; Espinoza, Daniel Lorias; Minor-Martínez, Arturo

doi:10.1007/s11548-016-1388-1

Cited by 18 publications

(10 citation statements)

References 28 publications

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“…There are alternatives to the Aruco-markers. Pérez-Escamirosa and coworkers 25 attached colored markers on laparoscopic instruments and recorded with two cameras. The positions were extracted by color segmentation algorithms and the 3D positions were calculated by linear triangulation.…”

Section: Discussionmentioning

confidence: 99%

Vision-Based Tracking of Surgical Motion During Live Open-Heart Surgery

Stenmark

Omerbašić

Magnusson

et al. 2022

Journal of Surgical Research

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Background: Motion tracking during live surgeries may be used to assess surgeons' intraoperative performance, provide feedback, and predict outcome. Current assessment protocols rely on human observations, controlled laboratory settings, or tracking technologies not suitable for live operating theatres. In this study, a novel method for motion tracking of live open-heart surgery was developed, and evaluated.Materials and methods: Three-D-printed 'tracking die' with miniature markers were fitted to DeBakey forceps. The surgical field was recorded with a video camera mounted above the operating table. Software was developed for tracking the die from the recordings. The system was tested on five open-heart procedures. Surgeons were asked to report subjective system related concerns during live surgery and assess the weight of the die on blind test.The accuracy of the system was evaluated against ground truth generated by a robot. Results:The 3D-printed die weighed 6 g and tolerated sterilization with hydrogen peroxide, which added approximately 13% to the mass of the forceps. Surgeons sensed a shift in the balance of the instrument but could on blind test not correctly verify changes in weight.When two or more markers were detected, the 3D position estimate was on average within 2-3 mm, and 1.1-2.6 degrees from ground truth. Computational time was 30-50 ms per frame on a standard laptop. Conclusions:The vision-based motion tracking system was applicable for live surgeries with negligible inconvenience to the surgeons. Motion data was extracted with acceptable accuracy and speed at low computational cost.

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Section: Discussionmentioning

confidence: 99%

Vision-Based Tracking of Surgical Motion During Live Open-Heart Surgery

Stenmark

Omerbašić

Magnusson

et al. 2022

Journal of Surgical Research

View full text Add to dashboard Cite

show abstract

“…The Simball Box or research and development results like TrEndo provide skill assessment by instrument tracking, continuous attachment of instruments restrict alterations of the training setup and can interfere training through altered instrument handling [7][8][9]. Analyzing multiple motion analysis parameters (MAP) through instrument tracking with additional sensors or colored markers and image analysis pose smaller influences on the tools' characteristic behavior, yet, are inefficient due to instrument modification and simulator-dependent software adjustments [10][11][12][13][14]. Determining instrument positions and angles by edge detection alone forgoes the problem entirely, the necessary image processing increases the complexity of the system, decreases reliability in altered circumstances, and decreases portability to different phantom trainers [15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

A system for real-time multivariate feature combination of endoscopic mitral valve simulator training data

et al. 2022

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Purpose For an in-depth analysis of the learning benefits that a stereoscopic view presents during endoscopic training, surgeons required a custom surgical evaluation system enabling simulator independent evaluation of endoscopic skills. Automated surgical skill assessment is in dire need since supervised training sessions and video analysis of recorded endoscope data are very time-consuming. This paper presents a first step towards a multimodal training evaluation system, which is not restricted to certain training setups and fixed evaluation metrics. Methods With our system we performed data fusion of motion and muscle-action measurements during multiple endoscopic exercises. The exercises were performed by medical experts with different surgical skill levels, using either two or three-dimensional endoscopic imaging. Based on the multi-modal measurements, training features were calculated and their significance assessed by distance and variance analysis. Finally, the features were used automatic classification of the used endoscope modes. Results During the study, 324 datasets from 12 participating volunteers were recorded, consisting of spatial information from the participants’ joint and right forearm electromyographic information. Feature significance analysis showed distinctive significance differences, with amplitude-related muscle information and velocity information from hand and wrist being among the most significant ones. The analyzed and generated classification models exceeded a correct prediction rate of used endoscope type accuracy rate of 90%. Conclusion The results support the validity of our setup and feature calculation, while their analysis shows significant distinctions and can be used to identify the used endoscopic view mode, something not apparent when analyzing time tables of each exercise attempt. The presented work is therefore a first step toward future developments, with which multivariate feature vectors can be classified automatically in real-time to evaluate endoscopic training and track learning progress.

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“…Due to the steep learning curve that laparoscopic surgery demands in certain surgical procedures, advanced and structured training programs and methods are constantly being introduced [1,2]. Recently, there is a paradigm shift from traditional subjective assessment methods of trainees to more objective assessment tools that can accredit surgeons as competent in laparoscopic surgery [3,4].…”

Section: Introductionmentioning

confidence: 99%