[{"innerBlocks":[],"name":"core\/freeform","postId":1561,"blockType":{"name":"core\/freeform","keywords":[],"attributes":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"providesContext":[],"usesContext":[],"selectors":[],"supports":{"className":false,"customClassName":false,"reusable":false},"styles":[],"variations":[],"apiVersion":3,"title":"Classic","description":"Use the classic WordPress editor.","category":"text"},"originalContent":"USC\u2019s Keck School of Medicine has successfully used a data recorder to evaluate surgeon performance during prostate cancer surgery.

By doing that, it was able to create an objective and standardized process for training surgeons, according to the findings of a study<\/a>, published in The Journal of Urology<\/i>, involving data recorded from 70 surgeries involving the reconstruction step of robotic radical prostatectomy, which accounts for 87 percent of prostate cancer surgeries in the United States.

\u201cAlthough robotic surgery is a widely adopted minimally invasive option for treating prostate cancer, standardized training for it doesn\u2019t exist yet,\u201d says Andrew Hung, MD, study co-author and assistant professor of clinical urology at Keck. \u201cTo 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.\u201d

Also See<\/b>: Loyola develops system for better reporting robotic surgeries<\/a>

The recorder, called the dVLogger made by Intuitive Surgical, attaches to the vendor\u2019s da Vinci Surgical System, a robotic surgery platform approved by the Food and Drug Administration, and records both video and movement data.

\u201cThis is a research tool\u2014it\u2019s not a product that\u2019s on the market,\u201d notes Hung. \u201cIt\u2019s a recording device created by the manufacturer\u2019s medical research team. We work in collaboration with them. What it records is the robot system data as well as synchronized video.\u201d

Keck has been using the dVLogger since August 2016 during robotic-assisted radical prostatectomy procedures, providing the ability to differentiate between novice and expert surgeons. In fact, the study revealed that expert surgeons outperformed novices in completion time, instrument movement efficiency and camera manipulation. In addition, expert surgeons had fewer needle-driving attempts and less tissue trauma.

\u201cWhat we tried to accomplish is creating automated performance metrics for surgeons to identify where their strengths and weaknesses lie,\u201d says Hung.

\u201cAutomated performance metrics can distinguish surgeon expertise during vesicourethral anastomosis,\u201d concluded the study\u2019s authors. \u201cThe expert vesicourethral anastomosis technique was associated with more efficient movement and less tissue trauma. Standardizing robotic vesicourethral anastomosis and using a methodically developed tutorial may help improve robotic surgical training.\u201d

At Keck, Hung and his colleagues are testing the efficacy of the tutorial with a group of medical students in the research lab. Ultimately, they hope their approach to developing this training tutorial could someday be applied to any procedure in any kind of robotic operation.

\u201cWhile 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,\u201d Hung adds.","saveContent":"USC\u2019s Keck School of Medicine has successfully used a data recorder to evaluate surgeon performance during prostate cancer surgery.

By doing that, it was able to create an objective and standardized process for training surgeons, according to the findings of a study<\/a>, published in The Journal of Urology<\/i>, involving data recorded from 70 surgeries involving the reconstruction step of robotic radical prostatectomy, which accounts for 87 percent of prostate cancer surgeries in the United States.

\u201cAlthough robotic surgery is a widely adopted minimally invasive option for treating prostate cancer, standardized training for it doesn\u2019t exist yet,\u201d says Andrew Hung, MD, study co-author and assistant professor of clinical urology at Keck. \u201cTo 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.\u201d

Also See<\/b>: Loyola develops system for better reporting robotic surgeries<\/a>

The recorder, called the dVLogger made by Intuitive Surgical, attaches to the vendor\u2019s da Vinci Surgical System, a robotic surgery platform approved by the Food and Drug Administration, and records both video and movement data.

\u201cThis is a research tool\u2014it\u2019s not a product that\u2019s on the market,\u201d notes Hung. \u201cIt\u2019s a recording device created by the manufacturer\u2019s medical research team. We work in collaboration with them. What it records is the robot system data as well as synchronized video.\u201d

Keck has been using the dVLogger since August 2016 during robotic-assisted radical prostatectomy procedures, providing the ability to differentiate between novice and expert surgeons. In fact, the study revealed that expert surgeons outperformed novices in completion time, instrument movement efficiency and camera manipulation. In addition, expert surgeons had fewer needle-driving attempts and less tissue trauma.

\u201cWhat we tried to accomplish is creating automated performance metrics for surgeons to identify where their strengths and weaknesses lie,\u201d says Hung.

\u201cAutomated performance metrics can distinguish surgeon expertise during vesicourethral anastomosis,\u201d concluded the study\u2019s authors. \u201cThe expert vesicourethral anastomosis technique was associated with more efficient movement and less tissue trauma. Standardizing robotic vesicourethral anastomosis and using a methodically developed tutorial may help improve robotic surgical training.\u201d

At Keck, Hung and his colleagues are testing the efficacy of the tutorial with a group of medical students in the research lab. Ultimately, they hope their approach to developing this training tutorial could someday be applied to any procedure in any kind of robotic operation.

\u201cWhile 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,\u201d Hung adds.","order":0,"get_parent":{},"attributes":[],"attributesType":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"dynamicContent":""}]

USC Keck tests data recorder to measure robotic surgery performance

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