We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ARAB HEALTH - INFORMA

Download Mobile App




Experience Enhances Robot-Assisted Surgical Skills

By HospiMedica International staff writers
Posted on 23 Jan 2018
Print article
Image: Dr. Andrew Hung and the dVLogger, which tracks doctors’ movements during robotic surgery (Photo courtesy of Ricardo Carrasco III/ USC).
Image: Dr. Andrew Hung and the dVLogger, which tracks doctors’ movements during robotic surgery (Photo courtesy of Ricardo Carrasco III/ USC).
A new study confirms that expert surgeons are more efficient and directed during preselected steps of robot-assisted radical prostatectomy.

Researchers at the University of Southern California (USC; Los Angeles, USA) and Intuitive Surgical (Sunnyvale, CA, USA) conducted a study to explore and validate objective surgeon performance using a novel recording device called the dVLogger--which captures both anonymized video and movement data--to directly capture surgeon manipulations on the da Vinci Surgical System. Kinematic and events data were recorded for 10 expert and 10 novice surgeons while performing bladder mobilization, seminal vesicle dissection, anterior vesicourethral anastomosis, and right pelvic lymphadenectomy.

The performance of the 10 experts (mean 810 cases, range 100-2,000) and 10 novices (mean 35 cases, range 5-80) was evaluated in 100 robot-assisted radical prostatectomy cases. Experts rated all surgeons’ performance blindly using the Global Evaluative Assessment of Robotic Skills (GEARS) metric, and objective metrics were correlated to corresponding GEARS metrics using concurrent validation. Results showed that the experts completed operative steps faster, with less instrument travel distance, less aggregate instrument idle time, shorter camera path length, and more frequent camera movements.

In addition, expert surgeons had a greater ratio of dominant-to-nondominant instrument path distance for all steps, except for anterior vesicourethral anastomosis. For concurrent validation, the median experience of three expert reviewers was 300 cases, and intra-class correlation among reviewers was 0.6-0.7. However, the results showed that in anterior vesicourethral anastomosis and seminal vesicle dissection, kinematic metrics had low associations with GEARS metrics. The study was published in the January 2018 edition of The Journal of Urology.

“In order to be credentialed by institutions to use the robotic system, surgeons must be evaluated by their peers for a handful of procedures, but the evaluations are not ongoing, and sometimes evaluators don’t agree on what constitutes proficiency,” said lead author Andrew Hung, MD, assistant professor of clinical urology at USC. “Creating a sustainable, objective method for evaluating surgeon proficiency and standardizing credentialing is a way to help ensure patient safety. We now have an opportunity to put surgeon proficiency under the microscope and see what role it plays in patient outcomes.”

Related Links:
University of Southern California
Intuitive Surgical
Gold Member
12-Channel ECG
CM1200B
Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
New
Electric Cast Saw
CC4 System
New
Documentation System For Blood Banks
HettInfo II

Print article

Channels

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.