{"title":"Ultrasound-Based Robot-Assisted Drilling for Minimally Invasive Pedicle Screw Placement","authors":"Ruixuan Li;Ayoob Davoodi;Maikel Timmermans;Kaat Van Assche;Orçun Taylan;Lennart Scheys;Matthias Tummers;Gianni Borghesan;Emmanuel Vander Poorten","doi":"10.1109/TMRB.2024.3385793","DOIUrl":null,"url":null,"abstract":"Minimally invasive pedicle screw placement (MIPSP) is a widely used treatment for spine diseases. When coupled with intraoperative navigation modalities, robots may help improve surgical outcomes and reduce complications. With such a system, the application of pedicle screws has been expanded from needle insertion to the spine surgery. This paper investigates the possibility and feasibility of robot-assisted MIPSP based on ultrasound (US) guidance. The proposed system is non-radiative and fiducial-free, using purely image information to close the registration loop. Then the system automatically positions the drill tip to a planned screw trajectory and executes the drilling operation. Experiments were conducted on both ex-vivo lamb and human cadaver spines. An entry point accuracy of \n<inline-formula> <tex-math>$2.39\\pm 1.41$ </tex-math></inline-formula>\n mm, and orientation accuracy of \n<inline-formula> <tex-math>$2.82\\pm 1.85^{\\circ }$ </tex-math></inline-formula>\n was found for 24 drilled trajectories on three lamb spines. On the ex-vivo human spine, the position error averaged \n<inline-formula> <tex-math>$3.08\\pm 2.43$ </tex-math></inline-formula>\n mm at the entry point and \n<inline-formula> <tex-math>$4.05\\pm 2.62$ </tex-math></inline-formula>\n mm at the stop point across 16 drilling instances. Moreover, a \n<inline-formula> <tex-math>$87.5\\%$ </tex-math></inline-formula>\n success rate was reported by using Gertzbein-Robbins grade. The experimental results demonstrate the potential for offering a radiation-free alternative. Although restricted to cadaver trials, this work encourages further exploration of this technology to assist surgeons in maximizing performance in clinical practice.","PeriodicalId":73318,"journal":{"name":"IEEE transactions on medical robotics and bionics","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE transactions on medical robotics and bionics","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10494398/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Minimally invasive pedicle screw placement (MIPSP) is a widely used treatment for spine diseases. When coupled with intraoperative navigation modalities, robots may help improve surgical outcomes and reduce complications. With such a system, the application of pedicle screws has been expanded from needle insertion to the spine surgery. This paper investigates the possibility and feasibility of robot-assisted MIPSP based on ultrasound (US) guidance. The proposed system is non-radiative and fiducial-free, using purely image information to close the registration loop. Then the system automatically positions the drill tip to a planned screw trajectory and executes the drilling operation. Experiments were conducted on both ex-vivo lamb and human cadaver spines. An entry point accuracy of
$2.39\pm 1.41$
mm, and orientation accuracy of
$2.82\pm 1.85^{\circ }$
was found for 24 drilled trajectories on three lamb spines. On the ex-vivo human spine, the position error averaged
$3.08\pm 2.43$
mm at the entry point and
$4.05\pm 2.62$
mm at the stop point across 16 drilling instances. Moreover, a
$87.5\%$
success rate was reported by using Gertzbein-Robbins grade. The experimental results demonstrate the potential for offering a radiation-free alternative. Although restricted to cadaver trials, this work encourages further exploration of this technology to assist surgeons in maximizing performance in clinical practice.