Evidence map›Paper›PMID 40646475›Full record

ArticleBMC oral health2025

Optimal sites for miniscrew insertion in anterior aesthetic region: a CBCT study for different vertical skeletal patterns.

Xiaoyan Feng, Luxi Weng, Xin Li, Yiyang Shen, Jun Lin

Abstract read
In one paragraph

Article in BMC oral health, 2025. 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

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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

5 authors.

Xiaoyan FengDepartment of Stomatology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China.
Luxi WengDepartment of Stomatology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China.
Xin LiDepartment of Stomatology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China.
Yiyang ShenDepartment of Stomatology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China.
Jun LinDepartment of Stomatology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China. linjun2@zju.edu.cn.

Funding

National Natural Science Foundation of China 81970978
6 · The paper itself

Abstract

introductionThe objective of this retrospective cohort study was to measure the root distance, bone thickness and bone density in maxillary anterior region with different vertical skeletal patterns based on CBCT data, and provide reference for the optimal site for miniscrew insertion in anterior aesthetic region.

methods60 adult patients(18-29years) with skeletal Class I angle (ANB angle = 2° ± 2°) were selected and divided into three groups (n = 20) according to vertical skeletal patterns.The population was divided into 3 groups according to the measured SN-GoGn angle: hypodivergent (SN-GoGn < 27°), average (27°≤ SN-GoGn ≤ 37°) and hyperdivergent (SN-GoGn > 37°) groups. The CBCT data was processed and measured by Dolphin Imaging and Mimics Medical. Measurement indicators included interradicular distances (IRD), overall bone thickness (OBT), cortical bone thickness (CBT), cortical and cancellous bone density (CoBD & CaBD). One-way ANOVA test of variance was used for statistical comparisons.

resultsIRD increased with apical height, reaching an maximum average measurement of 4.750 ± 1.226 mm at 10 mm axial section. Within the same axial section, the IRD of the region between the two central incisors was significantly larger than that of the other regions. There was no statistical difference in IRD among different vertical skeletal patterns. OBT increased with vertical height in the 2-6 mm axial sections, and no significant difference among three groups. There was a statistical difference of the CBT at 4-8 mm axial sections among the three groups (P < 0.05), but not at 10 mm axial section. There was no statistical difference (P < 0.05) of CaBD among different vertical skeletal patterns. However, there are statistically difference of CoBD in many regions between hypodivergent and hyperdivergent groups.

conclusionsThe anatomical structure in anterior aesthetic region of individuals varies greatly, and interradicular distances is not affected by vertical skeletal pattern. However, in general, hypodivergent patients have higher bone density and greater bone thickness than that of hyperdivergent patients, which means more safe regions to choose for miniscrew insertion.

Indexed as

Bone ScrewsCone-Beam Computed TomographyEsthetics, DentalMaxillaOrthodontic Anchorage ProceduresAdolescentAdultBone DensityCancellous BoneCephalometryCohort StudiesCortical BoneFemaleHumansIncisorMaleAnterior aesthetic region CBCTMiniscrewVertical skeletal pattern

Identifiers

PMID40646475
PMCPMC12255091

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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.