Decoding robotic surgery skills

"Although robotic surgery is a widely adopted minimally invasive option for treating prostate cancer, standardized training for it doesn't exist yet," says the study's corresponding author, Andrew Hung, MD, assistant professor of clinical urology at the 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.

Hung and his colleagues are currently testing the efficacy of the tutorial with a group of medical students in the research lab at the Keck School. The team is hopeful that their approach to developing this training tutorial could one day be applied to any procedure in any kind of robotic operation.

Robotic radical prostatectomy accounts for 87 percent of prostate cancer surgeries in the United States.