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锥形束计算机断层扫描金属伪影减少算法在检测牙种植体周围开窗和骨缺损方面的有效性

Efficacy of Metal Artifact Reduction Algorithm of Cone-Beam Computed Tomography for Detection of Fenestration and Dehiscence around Dental Implants.

作者信息

Salemi Fatemeh, Jamalpour Mohamad Reza, Eskandarloo Amir, Tapak Leili, Rahimi Narges

机构信息

PhD, Department of Oral & Maxillofacial Radiology, School of Dentistry, Hamadan university of Medical Science, Hamadan, Iran.

MScD, Department of Oral and Maxillofacial Surgery, Dental Implants Research Center, School of Dentistry, Hamadan university of Medical Science. Hamadan, Iran.

出版信息

J Biomed Phys Eng. 2021 Jun 1;11(3):305-314. doi: 10.31661/jbpe.v0i0.2102-1284. eCollection 2021 Jun.

DOI:10.31661/jbpe.v0i0.2102-1284
PMID:34189119
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8236107/
Abstract

BACKGROUND

Beam hardening and scattering artifacts from high-density objects such as dental implants adversely affect the image quality and subsequently the detection of fenestration or dehiscence around dental implants.

OBJECTIVE

This study aimed to assess the efficacy of metal artifact reduction (MAR) algorithm of two cone-beam computed tomography (CBCT) systems for detection of peri-implant fenestration and dehiscence.

MATERIAL AND METHODS

In this experimental study, thirty-six titanium implants were placed in bone blocks of bovine ribs. Fenestration and dehiscence were created in the buccal bone around implants. CBCT images were obtained using Cranex 3D and ProMax 3D CBCT systems with and without MAR algorithm. Two experienced radiologists observed the images. Data were analyzed using SPSS software. The Kappa coefficient of agreement, the area under the receiver operating characteristic (ROC) curve, sensitivity, specificity, and accuracy of different imaging modalities were calculated and analyzed.

RESULTS

In both CBCT systems, the use of MAR algorithm decreased the area under the ROC curve and subsequently the diagnostic accuracy for the detection of fenestration and dehiscence. The sensitivity, specificity and accuracy of both CBCT systems were higher in absence of the MAR algorithm. The specificity of ProMax 3D for detection of fenestration was equal with/without the MAR algorithm.

CONCLUSION

Although CBCT is suitable for detection of peri-implant defects, the application of the MAR algorithm does not enhance the detection of peri-implant fenestration and dehiscence.

摘要

背景

来自牙种植体等高密度物体的线束硬化和散射伪影会对图像质量产生不利影响,进而影响牙种植体周围开窗或骨缺损的检测。

目的

本研究旨在评估两种锥形束计算机断层扫描(CBCT)系统的金属伪影减少(MAR)算法对种植体周围开窗和骨缺损检测的效果。

材料与方法

在本实验研究中,将36枚钛种植体植入牛肋骨块中。在种植体周围的颊侧骨上制造开窗和骨缺损。使用Cranex 3D和ProMax 3D CBCT系统,分别在有和没有MAR算法的情况下获取CBCT图像。两名经验丰富的放射科医生观察图像。使用SPSS软件进行数据分析。计算并分析不同成像方式的一致性Kappa系数、受试者操作特征(ROC)曲线下面积、灵敏度、特异度和准确度。

结果

在两种CBCT系统中,使用MAR算法均降低了ROC曲线下面积,进而降低了开窗和骨缺损检测的诊断准确性。在没有MAR算法的情况下,两种CBCT系统的灵敏度、特异度和准确度均更高。ProMax 3D检测开窗的特异度在有/无MAR算法时相同。

结论

虽然CBCT适用于检测种植体周围缺损,但MAR算法的应用并不能提高种植体周围开窗和骨缺损的检测率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef1/8236107/0270587d040b/JBPE-11-305-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef1/8236107/b2cc63e9d58b/JBPE-11-305-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef1/8236107/f012e0b27236/JBPE-11-305-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef1/8236107/b6a8ca1a3edc/JBPE-11-305-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef1/8236107/93cd5e5606a6/JBPE-11-305-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef1/8236107/0270587d040b/JBPE-11-305-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef1/8236107/b2cc63e9d58b/JBPE-11-305-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef1/8236107/f012e0b27236/JBPE-11-305-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef1/8236107/b6a8ca1a3edc/JBPE-11-305-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef1/8236107/93cd5e5606a6/JBPE-11-305-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aef1/8236107/0270587d040b/JBPE-11-305-g005.jpg

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