IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v28y2025i2p188-196.html
   My bibliography  Save this article

A prediction method and evaluation for assessing guide-supported dental implant accuracy

Author

Listed:
  • Liangwei Xu
  • Jianlei Wu
  • Lin Chen
  • Hongyan Gao
  • Xian Zhu
  • Guichan Yang
  • Yinghao Chen

Abstract

Functional and esthetic results require accurate implant placement. We aimed to develop a predictive method for assessing dental implant accuracy, and to evaluate the cumulative system influence of surgical guides. A mathematical model was constructed to determine the influence of surface changes on a specific point, using Jacobian matrix expressions. Tooth-supported guides with a specific locating surface were designed for model verification. Ten guides were fabricated for in vitro virtual implant accuracy tests. Locating surface errors of 0.15 mm caused significant deviations in implant positioning. Tooth-supported guide location errors significantly impacted implant accuracy, emphasizing the need for precise guide placement.

Suggested Citation

  • Liangwei Xu & Jianlei Wu & Lin Chen & Hongyan Gao & Xian Zhu & Guichan Yang & Yinghao Chen, 2025. "A prediction method and evaluation for assessing guide-supported dental implant accuracy," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 28(2), pages 188-196, January.
  • Handle: RePEc:taf:gcmbxx:v:28:y:2025:i:2:p:188-196
    DOI: 10.1080/10255842.2023.2284092
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255842.2023.2284092
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10255842.2023.2284092?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:gcmbxx:v:28:y:2025:i:2:p:188-196. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gcmb .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.