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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

机译:用于验证术中机器人分类系统的回顾性研究,用于评估Kirschner线(K-Wire)展示术后术后计算机断层扫描分类系统,用于评估椎弓根螺钉放置的准确性

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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? 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.
机译:该回顾性研究的这种目的是验证术中的机器人分级分类系统,用于评估Kirschner-Wire(K-Wire)展示的准确性与术后计算机断层扫描(CT)-Base分类系统,用于评估椎弓根螺钉放置的准确性。我们对从2014年9月至2015年9月到11月高雄医科大学院医院诊所仪器的35名连续患者的前瞻性收集数据进行了回顾性审查。在经营过程中,我们使用了一个机器人分级分类系统来验证术中的术中准确性k线展示。手术后三个月,我们使用了共同的CT基础分类系统来评估椎弓根螺钉放置的术后准确性。使用Kappa统计协议进行比较了术中机器人辅助和各种术后CT基分类系统的准确性分布。在重新定位之前和之后的K-Wire放置的术中精度被归类为优秀(131/176,74.4%和133/176,分别为75.6%),令人满意(36/176,20.5%和41/176,23.3%,评估术后CT基础分类系统中的庭质(9/176,5.1%和2/176,1.1%)。在这些系统中的任何一个下,没有评估螺钉放置是不可接受的。 Kappa统计数据显示,所提出的系统和上述分类系统之间没有显着差异(P?我们的结果表明,术中机器人分级系统和各种术后CT的分级系统之间没有显着差异。机器人分级分类系统是一种可行的评估方法K-Wire展示的准确性。使用术中机器人分级系统来分类K线放置的准确性,使得能够预测椎弓根螺钉放置的术后准确度。

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