TY - JOUR
T1 - EVA: laparoscopic instrument tracking based on Endoscopic Video Analysis for psychomotor skills assessment.
AU - Oropesa, Ignacio
AU - Sánchez-González, Patricia
AU - Chmarra, Magdalena K
AU - Lamata, Pablo
AU - Fernández, Alvaro
AU - Sánchez-Margallo, Juan A
AU - Jansen, Frank Willem
AU - Dankelman, Jenny
AU - Sánchez-Margallo, Francisco M
AU - Gómez, Enrique J
PY - 2013/3
Y1 - 2013/3
N2 - INTRODUCTION: The EVA (Endoscopic Video Analysis) tracking system is a new system for extracting motions of laparoscopic instruments based on nonobtrusive video tracking. The feasibility of using EVA in laparoscopic settings has been tested in a box trainer setup.METHODS: EVA makes use of an algorithm that employs information of the laparoscopic instrument's shaft edges in the image, the instrument's insertion point, and the camera's optical center to track the three-dimensional position of the instrument tip. A validation study of EVA comprised a comparison of the measurements achieved with EVA and the TrEndo tracking system. To this end, 42 participants (16 novices, 22 residents, and 4 experts) were asked to perform a peg transfer task in a box trainer. Ten motion-based metrics were used to assess their performance.RESULTS: Construct validation of the EVA has been obtained for seven motion-based metrics. Concurrent validation revealed that there is a strong correlation between the results obtained by EVA and the TrEndo for metrics, such as path length (ρ = 0.97), average speed (ρ = 0.94), or economy of volume (ρ = 0.85), proving the viability of EVA.CONCLUSIONS: EVA has been successfully validated in a box trainer setup, showing the potential of endoscopic video analysis to assess laparoscopic psychomotor skills. The results encourage further implementation of video tracking in training setups and image-guided surgery.
AB - INTRODUCTION: The EVA (Endoscopic Video Analysis) tracking system is a new system for extracting motions of laparoscopic instruments based on nonobtrusive video tracking. The feasibility of using EVA in laparoscopic settings has been tested in a box trainer setup.METHODS: EVA makes use of an algorithm that employs information of the laparoscopic instrument's shaft edges in the image, the instrument's insertion point, and the camera's optical center to track the three-dimensional position of the instrument tip. A validation study of EVA comprised a comparison of the measurements achieved with EVA and the TrEndo tracking system. To this end, 42 participants (16 novices, 22 residents, and 4 experts) were asked to perform a peg transfer task in a box trainer. Ten motion-based metrics were used to assess their performance.RESULTS: Construct validation of the EVA has been obtained for seven motion-based metrics. Concurrent validation revealed that there is a strong correlation between the results obtained by EVA and the TrEndo for metrics, such as path length (ρ = 0.97), average speed (ρ = 0.94), or economy of volume (ρ = 0.85), proving the viability of EVA.CONCLUSIONS: EVA has been successfully validated in a box trainer setup, showing the potential of endoscopic video analysis to assess laparoscopic psychomotor skills. The results encourage further implementation of video tracking in training setups and image-guided surgery.
KW - Clinical Competence
KW - Education, Medical, Graduate
KW - Endoscopy
KW - Equipment Failure
KW - Feasibility Studies
KW - Functional Laterality
KW - Humans
KW - Internship and Residency
KW - Laparoscopy
KW - Models, Anatomic
KW - Movement
KW - Psychomotor Performance
KW - Teaching Materials
KW - Video Recording
U2 - 10.1007/s00464-012-2513-z
DO - 10.1007/s00464-012-2513-z
M3 - Article
C2 - 23052495
SN - 1432-2218
VL - 27
SP - 1029
EP - 1039
JO - Surgical endoscopy
JF - Surgical endoscopy
IS - 3
ER -