Effect of cone-beam computed tomography metal artefact reduction on incomplete subtle vertical root fractures.

IF 1.7 Q3 DENTISTRY, ORAL SURGERY & MEDICINE Imaging Science in Dentistry Pub Date : 2023-03-01 DOI:10.5624/isd.20220106
Andréa Huey Tsu Wang, Francine Kühl Panzarella, Carlos Eduardo Fontana, José Luiz Cintra Junqueira, Carlos Eduardo da Silveira Bueno
{"title":"Effect of cone-beam computed tomography metal artefact reduction on incomplete subtle vertical root fractures.","authors":"Andréa Huey Tsu Wang,&nbsp;Francine Kühl Panzarella,&nbsp;Carlos Eduardo Fontana,&nbsp;José Luiz Cintra Junqueira,&nbsp;Carlos Eduardo da Silveira Bueno","doi":"10.5624/isd.20220106","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This study compared the accuracy of detection of incomplete vertical root fractures (VRFs) in filled and unfilled teeth on cone-beam computed tomography images with and without a metal artefact reduction (MAR) algorithm.</p><p><strong>Materials and methods: </strong>Forty single-rooted maxillary premolars were selected and, after endodontic instrumentation, were categorized as unfilled teeth without fractures, filled teeth without fractures, unfilled teeth with fractures, or filled teeth with fractures. Each VRF was artificially created and confirmed by operative microscopy. The teeth were randomly arranged, and images were acquired with and without the MAR algorithm. The images were evaluated with OnDemand software (Cybermed Inc., Seoul, Korea). After training, 2 blinded observers each assessed the images for the presence and absence of VRFs 2 times separated by a 1-week interval. <i>P</i>-values<0.05 were considered to indicate significance.</p><p><strong>Results: </strong>Of the 4 protocols, unfilled teeth analysed with the MAR algorithm had the highest accuracy of incomplete VRF diagnosis (0.65), while unfilled teeth reviewed without MAR were associated with the least accurate diagnosis (0.55). With MAR, an unfilled tooth with an incomplete VRF was 4 times more likely to be identified as having an incomplete VRF than an unfilled tooth without this condition, while without MAR, an unfilled tooth with an incomplete VRF was 2.28 times more likely to be identified as having an incomplete VRF than an unfilled tooth without this condition.</p><p><strong>Conclusion: </strong>The use of the MAR algorithm increased the diagnostic accuracy in the detection of incomplete VRF on images of unfilled teeth.</p>","PeriodicalId":51714,"journal":{"name":"Imaging Science in Dentistry","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/99/15/isd-53-11.PMC10060756.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Imaging Science in Dentistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5624/isd.20220106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: This study compared the accuracy of detection of incomplete vertical root fractures (VRFs) in filled and unfilled teeth on cone-beam computed tomography images with and without a metal artefact reduction (MAR) algorithm.

Materials and methods: Forty single-rooted maxillary premolars were selected and, after endodontic instrumentation, were categorized as unfilled teeth without fractures, filled teeth without fractures, unfilled teeth with fractures, or filled teeth with fractures. Each VRF was artificially created and confirmed by operative microscopy. The teeth were randomly arranged, and images were acquired with and without the MAR algorithm. The images were evaluated with OnDemand software (Cybermed Inc., Seoul, Korea). After training, 2 blinded observers each assessed the images for the presence and absence of VRFs 2 times separated by a 1-week interval. P-values<0.05 were considered to indicate significance.

Results: Of the 4 protocols, unfilled teeth analysed with the MAR algorithm had the highest accuracy of incomplete VRF diagnosis (0.65), while unfilled teeth reviewed without MAR were associated with the least accurate diagnosis (0.55). With MAR, an unfilled tooth with an incomplete VRF was 4 times more likely to be identified as having an incomplete VRF than an unfilled tooth without this condition, while without MAR, an unfilled tooth with an incomplete VRF was 2.28 times more likely to be identified as having an incomplete VRF than an unfilled tooth without this condition.

Conclusion: The use of the MAR algorithm increased the diagnostic accuracy in the detection of incomplete VRF on images of unfilled teeth.

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
锥形束计算机断层金属伪影还原对不完全细微垂直根骨折的影响。
目的:本研究比较了在使用和不使用金属伪影还原(MAR)算法的锥形束计算机断层图像上检测填充和未填充牙齿不完全性垂直牙根骨折(vrf)的准确性。材料与方法:选择单根上颌前磨牙40颗,经根管预备后分为未充填无骨折牙、充填无骨折牙、未充填有骨折牙和充填有骨折牙。每个VRF都是人工创建的,并通过手术显微镜确认。随机排列牙齿,分别使用和不使用MAR算法获取图像。使用OnDemand软件(Cybermed Inc., Seoul, Korea)对图像进行评估。训练后,2名盲法观察者分别评估图像中vrf的存在和不存在,间隔2周。结果:在4种方案中,采用MAR算法分析的未补牙对VRF不完全诊断的准确率最高(0.65),而未经MAR检查的未补牙的诊断准确率最低(0.55)。有了MAR,有不完整VRF的未填充牙齿被诊断为不完整VRF的可能性是没有这种情况的未填充牙齿的4倍,而没有MAR,有不完整VRF的未填充牙齿被诊断为不完整VRF的可能性是没有这种情况的未填充牙齿的2.28倍。结论:采用MAR算法可提高对未补牙图像的VRF不完全性的诊断准确率。
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