Evidence map›Paper›PMID 41385088›Full record

ArticleClinical oral investigations2025

Integration of a dynamic navigation system and piezoelectric technology for impacted anterior maxillary tooth extraction: a retrospective pilot study.

Bin-Zhang Wu, Ao-Bo Jin, Peng-Fei Jia, Liang-Wei Chen, Zi-Yu Yan, Nian-Hui Cui

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical oral investigations, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Bin-Zhang Wu *First 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, Beijing, PR China.
Ao-Bo Jin *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, Beijing, PR China.
Peng-Fei JiaDepartment 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, Beijing, 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, Beijing, PR China.
Zi-Yu YanDepartment 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, Beijing, PR China. yanziyu@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, Beijing, PR China. drcuinianhui@163.com.

Funding

Program for Series Clinical Research Special Project of Peking University School and Hospital of Stomatology PKUSS-2024CRF105
6 · The paper itself

Abstract

objectiveThis study aimed to preliminarily evaluate the precision of a dynamic navigation system (DNS) in guiding a piezoelectric surgical device for the removal of impacted anterior maxillary teeth.

methodsPatients with impacted teeth in the anterior maxilla were enrolled in the study. Preoperative cone-beam computed tomography (CBCT) scans were used to digitally plan the osteotomy site and tooth sectioning trajectory within the DNS software. During surgery, a DNS-guided piezoelectric device was applied to perform both the bone flap osteotomy and tooth sectioning. The actual osteotomy field was intraoperatively scanned using an intraoral scanner, and the postoperative osteotomy contours were compared with the preoperative virtual plan to assess surgical accuracy.

resultsEleven patients with a total of 12 impacted teeth were included. The mean osteotomy duration was 10.33 ± 3.82 min. The average deviation at the boundary apex was 1.17 ± 0.77 mm, while the boundary angle and boundary length deviations were 5.90 ± 4.22° and 0.57 ± 0.50 mm, respectively. The mean intersection-over-union value for the osteotomy area was 0.81 ± 0.07. Only mild postoperative symptoms were reported, and no significant injury to adjacent anatomical structures occurred.

conclusionsThese preliminary findings suggest that DNS-guided piezoelectric surgery is a viable approach for extracting impacted anterior maxillary teeth, demonstrating encouraging accuracy and safety. CLINICAL RELEVANCE: The integration of dynamic navigation technology with piezoelectric instrumentation provides a minimally invasive and precise method for managing impacted anterior maxillary teeth.

Indexed as

MaxillaPiezosurgerySurgery, Computer-AssistedSurgical Navigation SystemsTooth ExtractionTooth, ImpactedAdultCone-Beam Computed TomographyFemaleHumansMaleOsteotomyPilot ProjectsRetrospective StudiesAccuracyAlveolar bone flapDynamic navigation systemImpacted teethIntraoral scanPiezoelectric device

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.