Is cone-beam computed tomography more accurate than periapical radiography for detection of vertical root fractures? A systematic review and meta-analysis.

IF 2.9 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Abbas Shokri, Fatemeh Salemi, Tara Taherpour, Hamed Karkehabadi, Kousar Ramezani, Foozie Zahedi, Maryam Farhadian
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引用次数: 0

Abstract

Background: This study aimed to conduct a systematic review and meta-analysis to summarize the available evidence comparing the diagnostic accuracy of periapical radiography (PA) and cone-beam computed tomography (CBCT) for detection of vertical root fractures (VRFs).

Methods: A search was conducted in PubMed, Scopus, and Web of Science for articles published regarding all types of human teeth. Data were analyzed by Comprehensive Meta-Analysis statistical software V3 software program. The I2 statistic was applied to analyze heterogeneity among the studies.

Results: Twenty-three articles met the criteria for inclusion in the systematic review and 16 for the meta-analysis. The sensitivity and specificity for detection of VRFs were calculated to be 0.51 and 0.87, respectively for PA radiography, and 0.70 and 0.84, respectively for CBCT.

Conclusions: The sensitivity of CBCT was higher than PA radiography; however, difference between the specificity of the two modalities was not statistically significant.

锥形束计算机断层扫描在检测垂直根折方面是否比根尖周放射摄影更准确?系统回顾和荟萃分析。
背景:本研究旨在进行系统回顾和荟萃分析,总结现有证据,比较根尖周放射摄影术(PA)和锥束计算机断层扫描(CBCT)在检测垂直根折(VRFs)方面的诊断准确性:方法:在 PubMed、Scopus 和 Web of Science 中搜索有关各类人类牙齿的文章。数据采用综合元分析统计软件 V3 软件程序进行分析。采用I2统计量分析研究之间的异质性:结果:23 篇文章符合系统综述的纳入标准,16 篇符合荟萃分析的纳入标准。经计算,PA 放射摄影检测 VRF 的灵敏度和特异度分别为 0.51 和 0.87,CBCT 分别为 0.70 和 0.84:结论:CBCT 的灵敏度高于 PA 放射摄影,但两种模式的特异性差异无统计学意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Medical Imaging
BMC Medical Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
4.60
自引率
3.70%
发文量
198
审稿时长
27 weeks
期刊介绍: BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.
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