DECT in Detection of Vertebral Fracture–associated Bone Marrow Edema: A Systematic Review and Meta-Analysis with Emphasis on Technical and Imaging Interpretation Parameters

医学 荟萃分析 放射科 椎体 骨髓 数字增强无线通信 核医学 病理 外科 计算机科学 电信 无线
作者
Farzaneh Ghazi Sherbaf,Haris I. Sair,Delaram Shakoor,Jan Fritz,Benedikt J. Schwaiger,Michele H. Johnson,Shadpour Demehri
出处
期刊:Radiology [Radiological Society of North America]
卷期号:300 (1): 110-119 被引量:33
标识
DOI:10.1148/radiol.2021203624
摘要

Background Dual-energy CT (DECT) shows promising performance in detecting bone marrow edema (BME) associated with vertebral body fractures. However, the optimal technical and image interpretation parameters are not well described. Purpose To conduct a systematic review and meta-analysis to determine the diagnostic performance of DECT in detecting BME associated with vertebral fractures (VFs), using different technical and image interpretation parameters, compared with MRI as the reference standard. Materials and Methods A systematic literature search was performed on July 9, 2020, to identify studies evaluating DECT performance for in vivo detection of vertebral BME. A random-effects model was used to derive estimates of the diagnostic accuracy parameters of DECT. The impact of relevant covariates in technical, image interpretation, and study design parameters on the diagnostic performance of DECT was investigated using subgroup analyses. Results Seventeen studies (with 742 of 2468 vertebrae with BME at MRI) met inclusion criteria. Pooled estimates of sensitivity, specificity, and area under the curve of DECT for vertebral body BME were 89% (95% CI: 84%, 92%), 96% (95% CI: 92%, 98%), and 96% (95% CI: 94%, 97%), respectively. Single-source consecutive scanning showed poor specificity (78%) compared with the dual-source technique (98%, P < .001). Specificity was higher using bone and soft-tissue kernels (98%) compared with using only soft-tissue kernels (90%, P = .001). Qualitative assessment had a better specificity (97%) versus quantitative assessment (90%) of DECT images (P = .01). Experienced readers showed considerably higher specificity (96%) compared with trainees (79%, P = .01). DECT sensitivity improved using a higher difference between low- and high-energy spectra (90% vs 83%, P = .04). Conclusion Given its high specificity, the detection of vertebral bone marrow edema with dual-energy CT (DECT) associated with vertebral fracture may obviate confirmatory MRI in an emergency setting. Technical parameters, such as the dual-source technique, both bone and soft-tissue kernels, and qualitative assessment by experienced readers, can ensure the high specificity of DECT. © RSNA, 2021 Online supplemental material is available for this article.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
高贵电源发布了新的文献求助10
刚刚
1秒前
Flynut完成签到,获得积分10
1秒前
领导范儿应助个性冰海采纳,获得10
1秒前
2秒前
稳重续完成签到,获得积分10
2秒前
wenbo完成签到,获得积分10
2秒前
3秒前
七听应助七院采纳,获得50
3秒前
翔翼风发布了新的文献求助10
4秒前
杭三问发布了新的文献求助10
4秒前
NexusExplorer应助张香轲采纳,获得10
5秒前
雪0918完成签到,获得积分10
5秒前
6秒前
6秒前
Ki发布了新的文献求助10
6秒前
李健的小迷弟应助小小鱼采纳,获得10
6秒前
6秒前
哭泣的鞋子完成签到,获得积分10
7秒前
7秒前
古儿发布了新的文献求助10
9秒前
wzy发布了新的文献求助10
9秒前
hux发布了新的文献求助10
9秒前
11秒前
罗奕芳发布了新的文献求助10
11秒前
Xw完成签到,获得积分10
11秒前
晶晶发布了新的文献求助10
12秒前
警长发布了新的文献求助10
12秒前
13秒前
春樹暮雲完成签到 ,获得积分10
13秒前
14秒前
14秒前
15秒前
15秒前
16秒前
个性冰海发布了新的文献求助10
16秒前
16秒前
Ki完成签到,获得积分10
16秒前
小二郎应助Wenjie采纳,获得10
17秒前
所所应助aliu采纳,获得10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Mammalian Synthetic Biology 500
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7638481
求助须知:如何正确求助?哪些是违规求助? 9211737
关于积分的说明 19759776
捐赠科研通 7205450
什么是DOI,文献DOI怎么找? 3275880
关于科研通互助平台的介绍 2437447
邀请新用户注册赠送积分活动 2273082