title: A retrospective study to validate an intraoperative robotic classification system for assessing the accuracy of kirschner wire (K-wire) placements with postoperative computed tomography classification system for assessing the accuracy of pedicle screw placements.
abstract: This purpose of this retrospective study is validation of an intraoperative robotic grading classification system for assessing the accuracy of Kirschner-wire (K-wire) placements with the postoperative computed tomography (CT)-base classification system for assessing the accuracy of pedicle screw placements.We conducted a retrospective review of prospectively collected data from 35 consecutive patients who underwent 176 robotic assisted pedicle screws instrumentation at Kaohsiung Medical University Hospital from September 2014 to November 2015. During the operation, we used a robotic grading classification system for verifying the intraoperative accuracy of K-wire placements. Three months after surgery, we used the common CT-base classification system to assess the postoperative accuracy of pedicle screw placements. The distributions of accuracy between the intraoperative robot-assisted and various postoperative CT-based classification systems were compared using kappa statistics of agreement.The intraoperative accuracies of K-wire placements before and after repositioning were classified as excellent (131/176, 74.4% and 133/176, 75.6%, respectively), satisfactory (36/176, 20.5% and 41/176, 23.3%, respectively), and malpositioned (9/176, 5.1% and 2/176, 1.1%, respectively)In postoperative CT-base classification systems were evaluated. No screw placements were evaluated as unacceptable under any of these systems. Kappa statistics revealed no significant differences between the proposed system and the aforementioned classification systems (P <0.001).Our results revealed no significant differences between the intraoperative robotic grading system and various postoperative CT-based grading systems. The robotic grading classification system is a feasible method for evaluating the accuracy of K-wire placements. Using the intraoperative robot grading system to classify the accuracy of K-wire placements enables predicting the postoperative accuracy of pedicle screw placements.
authors.affiliation: Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University Department of Neurosurgery, Kaohsiung Medical University Hospital Department of Neurosurgery, Kaohsiung Municipal Hsiao-Kang Hospital Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
authors.forename: Tai-Hsin
authors.initials: TH
authors.lastname: Tsai
authors.forename: Dong-Syuan
authors.initials: DS
authors.lastname: Wu
authors.forename: Yu-Feng
authors.initials: YF
authors.lastname: Su
authors.forename: Chieh-Hsin
authors.initials: CH
authors.lastname: Wu
authors.forename: Chih-Lung
authors.initials: CL
authors.lastname: Lin
mesh_terms: D000368:Aged; D001864:Bone Wires / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D007432:Intraoperative Period; D008159:Lumbar Vertebrae / Q000000981:diagnostic imaging / Q000601:surgery; D008297:Male; D008875:Middle Aged; D065289:Pedicle Screws / Q000706:statistics & numerical data*; D011184:Postoperative Period; D011446:Prospective Studies; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012371:Robotics / Q000379:methods / Q000706:statistics & numerical data*; D013122:Spinal Diseases / Q000000981:diagnostic imaging / Q000601:surgery*; D013123:Spinal Fusion / Q000295:instrumentation / Q000379:methods / Q000706:statistics & numerical data*; D014057:Tomography, X-Ray Computed / Q000706:statistics & numerical data