Evidence map›Paper›PMID 31484529›Full record

ArticleBMC oral health2019

Accuracy of in vitro mandibular volumetric measurements from CBCT of different voxel sizes with different segmentation threshold settings.

Ting Dong, Lunguo Xia, Chenglin Cai, Lingjun Yuan, Niansong Ye, Bing Fang

Abstract read
In one paragraph

Article in BMC oral health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
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21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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  7. Accuracy of digital duplication scanning methods for complete dentures.Journal of prosthodontics : official journal of the American College of Prosthodontists · 2025
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ting DongDepartment of Orthodontics, Ninth People's Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine, No. 639 Zhizaoju Road, Shanghai, China.
Lunguo XiaDepartment of Orthodontics, Ninth People's Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine, No. 639 Zhizaoju Road, Shanghai, China.
Chenglin CaiDepartment of Orthodontics, Ninth People's Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine, No. 639 Zhizaoju Road, Shanghai, China.
Lingjun YuanDepartment of Orthodontics, Ninth People's Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine, No. 639 Zhizaoju Road, Shanghai, China. 38741244@qq.com.
Niansong YeDepartment of Orthodontics, Ninth People's Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine, No. 639 Zhizaoju Road, Shanghai, China. yns119@126.com.
Bing FangDepartment of Orthodontics, Ninth People's Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine, No. 639 Zhizaoju Road, Shanghai, China. fangbing@sjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine the accuracy of volumetric measurements of the mandible in vitro by cone-beam computed tomography (CBCT) and to analyze the influence of voxel sizes and segmentation threshold settings on it.

methodsThe samples were obtained from pig mandibles and scanned with 4 voxel sizes: .125 mm, .20 mm, .30 mm, and .40 mm. The minimum segmentation thresholds in Hounsfield units (HU) were set as 0, 100, 200, 300, and 400, respectively, for each voxel size for 3D reconstruction. Laser scanning as the reference, the volumes of each CBCT scanning, the mean iterative distances of superimposition and total positive and negative deviations were recorded and compared.

resultsThe volumes of CBCT-scan deviated from those of laser-scan by + 7.67% to - 3.05% with different HU and voxel sizes. The deviation increased with the voxel size. There was a more suitable minimum HU threshold of segmentation (HU100 for .125 mm, 200 for .20 mm, 300 for .30 mm, and 400 for .40 mm) for each voxel size.

conclusionsVoxel sizes and Hounsfield unit thresholds influence the accuracy of volumetric measurements in CBCT scanning. The volume increase with the voxel size, and different voxel sizes correspond to different optimal Hounsfield unit thresholds.

Indexed as

AnimalsComputer SimulationCone-Beam Computed TomographyImage Processing, Computer-AssistedImaging, Three-DimensionalLasersMandibleOdontometryRadiographic Image EnhancementRadiography, Dental, DigitalSwineTooth CrownTooth RootCone-beam computed tomography (CBCT)Hounsfield unit thresholdVolumetric measurementVoxel size

Identifiers

PMID31484529
PMCPMC6727515

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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.