Evidence map›Paper›PMID 41727932›Full record

ArticleInternational journal of dentistry2026

The Segmentation and 3D Reconstruction of Teeth, Root Canals, and Alveolar Bones in CBCT Images Based on AVIZO Software.

Yan Liu, Chunshen Li, Pengyu Chen, Yunshan Zhao, Liang-Qiu-Yue Zhong, Zhongyi Xiao, Xi Chen

Abstract read
In one paragraph

Article in International journal of dentistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Yan LiuDepartment of Stomatology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China, xjtu.edu.cn.
Chunshen LiDepartment of Stomatology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China, xjtu.edu.cn.
Pengyu ChenDepartment of Stomatology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China, xjtu.edu.cn.
Yunshan ZhaoDepartment of Stomatology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China, xjtu.edu.cn.
Liang-Qiu-Yue ZhongDepartment of Stomatology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China, xjtu.edu.cn.
Zhongyi XiaoDepartment of Stomatology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China, xjtu.edu.cn.
Xi ChenDepartment of Stomatology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China, xjtu.edu.cn.ORCID https://orcid.org/0000-0001-8593-3923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study utilized AVIZO software and manual segmentation techniques to extract individual teeth, root canals, and alveolar bone structures from cone beam computed tomography (CBCT) images. A three-dimensional model suitable for personalized treatment planning was constructed, which holds significant implications for clinical diagnosis and treatment. Methods: We collected 576 CBCT dental images. Based on AVIZO software, the tooth, root canal, and alveolar bone were segmented and 3D reconstructed by image calibration, image noise reduction and edge enhancement, manual labeling, and other methods. Results: Our approach enables segmentation and reconstruction, allowing for quantitative analysis of 3D reconstructed teeth and root canals, including tooth 3D volume size, dip angle, azimuth angle, and shape factors. Three-dimensional volume range: 0.31-1.11 cm Conclusions: We successfully achieved segmentation and three-dimensional reconstruction of teeth, root canals, and alveolar bone. Based on the reconstruction results, we obtained corresponding quantitative data, providing objective and quantitative evidence for developing personalized treatment plans.

Indexed as

3D reconstructionalveolar boneroot canalsegmentationtooth

Identifiers

PMID41727932
PMCPMC12917854

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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.