首页|Data from Norton Leatherman Spine Center Advance Knowledge in Robotics [Comparison of No Tap (Two-step) and Tapping Robotic Assisted Cortical Bone Traje ctory Screw Insertion]
Data from Norton Leatherman Spine Center Advance Knowledge in Robotics [Comparison of No Tap (Two-step) and Tapping Robotic Assisted Cortical Bone Traje ctory Screw Insertion]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics have been published. According to news reporting out of Louisville, Kentucky, by New sRx editors, research stated, "Workflow for cortical bone trajectory (CBT) screw s includes tapping line-to-line or under tapping by 1 mm. We describe a non-tapp ing,two-step workflow for CBT screw placement, and compare the safety profile a nd time savings to the Tap (three-step) workflow." Our news journalists obtained a quote from the research from Norton Leatherman S pine Center, "Patients undergoing robotic assisted 1-3 level posterior fusion wi th CBT screws for degenerative conditions were identified and separated into eit her a No-Tap or Tap workflow. Number of total screws, screw-related complication s, estimated blood loss, operative time, robotic time, and return to the operati ng room were collected and analyzed. There were 91 cases (458 screws) in the No- Tap and 88 cases (466 screws) in the Tap groups, with no difference in demograph ics, revision status, ASA grade, approach, number of levels fused or diagnosis b etween cohorts. Total robotic time was lower in the No-Tap (26.7 min) versus the Tap group (30.3 min, p = 0.053). There was no difference in the number of malpo sitioned screws identified intraoperatively (10 vs 6, p = 0.427), screws convert ed to freehand (3 vs 3, p = 0.699), or screws abandoned (3 vs 2, p = 1.000). No pedicle/pars fracture or fixation failure was seen in the No-Tap cohort and one in the Tap cohort (p = 1.00). No patients in either cohort were returned to OR f or malpositioned screws."
LouisvilleKentuckyUnited StatesNor th and Central AmericaBone ResearchEmerging TechnologiesHealth and Medicin eMachine LearningRoboticsRobotsNorton Leatherman Spine Center
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