Micro-computed tomography for assessing the internal and external voids of bulk-fill composite restorations: A technical report.

IF 1.7 Q3 DENTISTRY, ORAL SURGERY & MEDICINE Imaging Science in Dentistry Pub Date : 2022-09-01 Epub Date: 2022-06-02 DOI:10.5624/isd.20220007
Vincenzo Tosco, Riccardo Monterubbianesi, Michele Furlani, Alessandra Giuliani, Angelo Putignano, Giovanna Orsini
{"title":"Micro-computed tomography for assessing the internal and external voids of bulk-fill composite restorations: A technical report.","authors":"Vincenzo Tosco,&nbsp;Riccardo Monterubbianesi,&nbsp;Michele Furlani,&nbsp;Alessandra Giuliani,&nbsp;Angelo Putignano,&nbsp;Giovanna Orsini","doi":"10.5624/isd.20220007","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This technical report aims to describe and detail the use of micro-computed tomography for a reliable evaluation of the bulk-fill composite/tooth interface.</p><p><strong>Materials and methods: </strong>Bulk-fill composite restorations in tooth cavities were scanned using micro-computed tomography to obtain qualitatively and quantitatively valuable information. Two-dimensional information was processed using specific algorithms, and ultimately a 3-dimensional (3D) specimen reconstruction was generated. The 3D rendering allowed the visualization of voids inside bulk-fill composite materials and provided quantitative measurements. The 3D analysis software VG Studio MAX was used to perform image analysis and assess gap formation within the tooth-restoration interface. In particular, to evaluate internal adaptation, the Defect Analysis add-on module of VG Studio Max was used.</p><p><strong>Results: </strong>The data, obtained with the processing software, highlighted the presence and the shape of gaps in different colours, representing the volume of porosity within a chromatic scale in which each colour quantitatively represents a well-defined volume.</p><p><strong>Conclusion: </strong>Micro-computed tomography makes it possible to obtain several quantitative parameters, providing fundamental information on defect shape and complexity. However, this technique has the limit of not discriminating materials without radiopacity and with low or no filler content, such as dental adhesives, and hence, they are difficult to visualise through software reconstruction.</p>","PeriodicalId":51714,"journal":{"name":"Imaging Science in Dentistry","volume":"52 3","pages":"303-308"},"PeriodicalIF":1.7000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/2a/44/isd-52-303.PMC9530296.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Imaging Science in Dentistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5624/isd.20220007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/6/2 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 1

Abstract

Purpose: This technical report aims to describe and detail the use of micro-computed tomography for a reliable evaluation of the bulk-fill composite/tooth interface.

Materials and methods: Bulk-fill composite restorations in tooth cavities were scanned using micro-computed tomography to obtain qualitatively and quantitatively valuable information. Two-dimensional information was processed using specific algorithms, and ultimately a 3-dimensional (3D) specimen reconstruction was generated. The 3D rendering allowed the visualization of voids inside bulk-fill composite materials and provided quantitative measurements. The 3D analysis software VG Studio MAX was used to perform image analysis and assess gap formation within the tooth-restoration interface. In particular, to evaluate internal adaptation, the Defect Analysis add-on module of VG Studio Max was used.

Results: The data, obtained with the processing software, highlighted the presence and the shape of gaps in different colours, representing the volume of porosity within a chromatic scale in which each colour quantitatively represents a well-defined volume.

Conclusion: Micro-computed tomography makes it possible to obtain several quantitative parameters, providing fundamental information on defect shape and complexity. However, this technique has the limit of not discriminating materials without radiopacity and with low or no filler content, such as dental adhesives, and hence, they are difficult to visualise through software reconstruction.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
微计算机断层扫描用于评估大块填充复合材料修复体的内部和外部空隙:技术报告。
目的:本技术报告旨在描述和详细使用微计算机断层扫描来可靠地评估填充体复合材料/牙齿界面。材料和方法:采用微计算机断层扫描技术对块状填充复合材料修复体进行扫描,以获得定性和定量有价值的信息。使用特定的算法处理二维信息,最终生成三维(3D)标本重建。3D渲染允许可视化大块填充复合材料内部的空隙,并提供定量测量。使用3D分析软件VG Studio MAX进行图像分析并评估牙齿修复界面内的间隙形成情况。特别地,为了评估内部适应性,我们使用了VG Studio Max的缺陷分析附加模块。结果:通过处理软件获得的数据突出显示了不同颜色间隙的存在和形状,代表了色度范围内的孔隙率,其中每种颜色定量地代表了一个定义良好的体积。结论:微计算机断层扫描可以获得几个定量参数,为缺陷形状和复杂性提供基本信息。然而,这种技术的局限性是不能区分没有放射不透明和低或无填充物含量的材料,例如牙科粘合剂,因此,它们很难通过软件重建可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Imaging Science in Dentistry
Imaging Science in Dentistry DENTISTRY, ORAL SURGERY & MEDICINE-
CiteScore
2.90
自引率
11.10%
发文量
42
期刊最新文献
Classification of mandibular molar furcation involvement in periapical radiographs by deep learning. Clinical validity and precision of deep learning-based cone-beam computed tomography automatic landmarking algorithm. Combination of metal artifact reduction and sharpening filter application for horizontal root fracture diagnosis in teeth adjacent to a zirconia implant. Erratum to: McCune-Albright syndrome with acromegaly: A case report with characteristic radiographic features of fibrous dysplasia. Evaluation of deep learning and convolutional neural network algorithms for mandibular fracture detection using radiographic images: A systematic review and meta-analysis.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1