Researchers from the Keck School of Medicine of USC are looking to technology to help deconstruct expert surgeons’ robotic surgery skills so they can create an objective, standardized way to train the next generation of surgeons. Using a data recorder plugged into a robotic surgery system, the team analyzed expert and novice surgeons’ movements during the reconstruction step of robotic radical prostatectomy, a common surgery for prostate cancer. The data helped the team decode surgical skills, develop a needle-driving gesture classification system and create a training tutorial.
“Although robotic surgery is a widely adopted minimally invasive option for treating prostate cancer, standardized training for it doesn’t exist yet,” says Andrew Hung, MD, Assistant Professor of Clinical Urology, Keck School. “In order to create a methodical, streamlined training tutorial for this main reconstruction step of the prostate surgery, we relied on automated performance metrics and observation to objectively measure surgeon performance.”
Using both video and movement data recorded from 70 surgeries, the study found that experts outperformed novices in completion time, instrument movement efficiency and camera manipulation. Experts also had fewer needle-driving attempts and less tissue trauma.
The researchers were also able to identify 14 common needle-driving gestures, which were classified as combinations of forehand, backhand, flush-hand, overhand or underhand. Compared to standardized gestures, random sequences of gestures were associated with lower efficiency, more needle-driving attempts and more tissue trauma.
The data were then used to develop a tutorial that broke the complex surgical step into smaller, discrete steps.
“While there is no single perfect way to do a perfect operation, creating a standardized method for robotic surgery training provides surgeons a common training ground,” Hung says.
Robotic radical prostatectomy accounts for 87 percent of prostate cancer surgeries in the United States.
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