Evidence map›Paper›PMID 41673858›Full record

ArticleBMC oral health2026

Dynamic navigation-assisted extraction of impacted maxillary anterior teeth: a model-based accuracy study.

Zi-Yu Yan, Peng-Fei Jia, Ao-Bo Jin, Liang-Wei Chen, Ming-Pei Gao, Xi-Yuan Luo, Bin-Zhang Wu, Nian-Hui Cui

Abstract read
In one paragraph

Article in BMC oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zi-Yu Yan *Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, No. 22, Zhongguancun South Street, Haidian District, Beijing, 100081, PR China.
Peng-Fei Jia *Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, No. 22, Zhongguancun South Street, Haidian District, Beijing, 100081, PR China.
Ao-Bo JinDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, No. 22, Zhongguancun South Street, Haidian District, Beijing, 100081, PR China.
Liang-Wei ChenDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, No. 22, Zhongguancun South Street, Haidian District, Beijing, 100081, PR China.
Ming-Pei GaoSchool of Stomatology, Peking University, Beijing, PR China.
Xi-Yuan LuoSchool of Stomatology, Peking University, Beijing, PR China.
Bin-Zhang WuFirst Clinical Division, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, 37A Xishiku Street, Xicheng District, Beijing, 100034, PR China. wubinzhang@bjmu.edu.cn.
Nian-Hui CuiDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, No. 22, Zhongguancun South Street, Haidian District, Beijing, 100081, PR China. drcuinianhui@163.com.

Funding

Program for New Clinical Techniques and Therapies of Peking University School and Hospital of Stomatology PKUSSNCT-22A11/PKUSSNCT-25B12Program for Series Clinical Research Special Project of Peking University School and Hospital of Stomatology PKUSS-2024CRF105
6 · The paper itself

Abstract

backgroundAccurate extraction of impacted teeth remains a technically demanding procedure. This study aimed to develop a model-based experimental protocol to assess the surgical accuracy of a dynamic navigation system (DNS) assisted extraction of impacted maxillary anterior teeth.

methodsA standardized custom model simulating impacted maxillary supernumerary teeth was constructed. Preoperative planning, including the definition of osteotomy boundaries and tooth sectioning planes, was performed using integrated intraoral scanning and cone-beam computed tomography (CBCT) data. During surgery, the DNS guided critical surgical procedural steps, including tooth localization, osteotomy, and segmentation. Postoperative CBCT imaging was used to compare actual surgical outcomes with the preoperative plan by quantifying three-dimensional deviations. Outcome measures included root mean square (RMS) deviation, angular deviation, and other geometric discrepancies. Total osteotomy area and operative time were also recorded.

resultsFourteen models were evaluated, with seven assigned to the DNS-assisted group and seven to the control group. Compared with the preoperative plan, the DNS group demonstrated significantly lower RMS deviation in segmentation plane accuracy than the control group (0.43 ± 0.18 mm vs. 0.85 ± 0.38 mm; P = 0.02). Angular deviation was reduced in the DNS group (8.97° vs. 14.76°; P = 0.04), along with curvature RMS (1.72 rad vs. 3.54 rad; P = 0.04) and maximum deviation (0.77 mm vs. 1.30 mm; P < 0.01). DISCUSSION: These results indicate that DNS-assisted extraction of impacted maxillary anterior teeth significantly enhances surgical accuracy compared with conventional techniques, improving procedural accuracy, stability, and overall safety.

Indexed as

MaxillaSurgery, Computer-AssistedTooth ExtractionTooth, ImpactedCone-Beam Computed TomographyHumansImaging, Three-DimensionalIncisorModels, DentalOsteotomyTooth, SupernumeraryAccuracyDynamic navigationModel experimentSupernumerary tooth

Identifiers

PMID41673858
PMCPMC12997684

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.