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Article: Accuracy evaluation of 3D-printed noninvasive adhesive marker for dynamic navigation implant surgery in a maxillary edentulous model: An in vitro study

TitleAccuracy evaluation of 3D-printed noninvasive adhesive marker for dynamic navigation implant surgery in a maxillary edentulous model: An in vitro study
Authors
Keywords3D printing
Accuracy
Dental implant
Surgical navigation systems
Issue Date2022
Citation
Medical Engineering and Physics, 2022, v. 103, article no. 103783 How to Cite?
AbstractDynamic computer-aided implant surgery (DCAIS) can improve dental implantation accuracy and reduce surgical risks. In the registration procedure of DCAIS, the type and the number of registration markers significantly impact the accuracy of DCAIS. One problem of DCAIS in clinical application is that only invasive screw markers can be used for implantation in edentulous patients. It could cause additional trauma, scar formation and usually increase patient discomfort. In this experiment, a personalized 3D-printed edentulous maxillary model was used for simulating clinical situations, and a 3D-printed noninvasive adhesive marker (3D-PNAM) was designed to figure out the above problem. In this research, six target screws were implanted into the model's maxillary alveolar ridge as targets for accuracy analysis. This study used target registration error (TRE) as an index to evaluate the accuracy of invasive screw makers and noninvasive adhesive markers. Results showed that 3D-PNAMs had the same accuracy as screw markers, and placing at least six registration markers in the maxilla was needed for good registration accuracy. The registration markers should be further improved and designed according to application areas' clinical needs and anatomical characteristics in future clinical studies.
Persistent Identifierhttp://hdl.handle.net/10722/354221
ISSN
2023 Impact Factor: 1.7
2023 SCImago Journal Rankings: 0.458
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLan, Kengliang-
dc.contributor.authorTao, Baoxin-
dc.contributor.authorWang, Feng-
dc.contributor.authorWu, Yiqun-
dc.date.accessioned2025-02-07T08:47:15Z-
dc.date.available2025-02-07T08:47:15Z-
dc.date.issued2022-
dc.identifier.citationMedical Engineering and Physics, 2022, v. 103, article no. 103783-
dc.identifier.issn1350-4533-
dc.identifier.urihttp://hdl.handle.net/10722/354221-
dc.description.abstractDynamic computer-aided implant surgery (DCAIS) can improve dental implantation accuracy and reduce surgical risks. In the registration procedure of DCAIS, the type and the number of registration markers significantly impact the accuracy of DCAIS. One problem of DCAIS in clinical application is that only invasive screw markers can be used for implantation in edentulous patients. It could cause additional trauma, scar formation and usually increase patient discomfort. In this experiment, a personalized 3D-printed edentulous maxillary model was used for simulating clinical situations, and a 3D-printed noninvasive adhesive marker (3D-PNAM) was designed to figure out the above problem. In this research, six target screws were implanted into the model's maxillary alveolar ridge as targets for accuracy analysis. This study used target registration error (TRE) as an index to evaluate the accuracy of invasive screw makers and noninvasive adhesive markers. Results showed that 3D-PNAMs had the same accuracy as screw markers, and placing at least six registration markers in the maxilla was needed for good registration accuracy. The registration markers should be further improved and designed according to application areas' clinical needs and anatomical characteristics in future clinical studies.-
dc.languageeng-
dc.relation.ispartofMedical Engineering and Physics-
dc.subject3D printing-
dc.subjectAccuracy-
dc.subjectDental implant-
dc.subjectSurgical navigation systems-
dc.titleAccuracy evaluation of 3D-printed noninvasive adhesive marker for dynamic navigation implant surgery in a maxillary edentulous model: An in vitro study-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.medengphy.2022.103783-
dc.identifier.pmid35500986-
dc.identifier.scopuseid_2-s2.0-85126715851-
dc.identifier.volume103-
dc.identifier.spagearticle no. 103783-
dc.identifier.epagearticle no. 103783-
dc.identifier.eissn1873-4030-
dc.identifier.isiWOS:000788873700006-

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