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双能 CT 检测椎体压缩性骨折:骨髓水肿显示的视觉和定量分析性能与 MRI 比较。

Dual-energy CT in vertebral compression fractures: performance of visual and quantitative analysis for bone marrow edema demonstration with comparison to MRI.

机构信息

Department of Radiology, University Hospital of Strasbourg, 10 Avenue Molière, 67098, Strasbourg, France,

出版信息

Skeletal Radiol. 2014 Apr;43(4):485-92. doi: 10.1007/s00256-013-1812-3. Epub 2014 Jan 21.

DOI:10.1007/s00256-013-1812-3
PMID:24445957
Abstract

OBJECTIVE

To prospectively evaluate the performance of virtual non-calcium (VNC) dual-energy CT (DECT) images for the demonstration of trauma-related abnormal marrow attenuation in collapsed and non-collapsed vertebral compression fractures (VCF) with MRI as a reference standard.

MATERIALS AND METHODS

Twenty patients presenting with non-tumoral VCF were consecutively and prospectively included in this IRB-approved study, and underwent MRI and DECT of the spine. MR examination served as a reference standard. Two independent readers visually evaluated all vertebrae for abnormal marrow attenuation ("CT edema") on VNC DECT images; specificity, sensitivity, predictive values, intra and inter-observer agreements were calculated. A last reader performed a quantitative evaluation of CT numbers; cut-off values were calculated using ROC analysis.

RESULTS

In the visual analysis, VNC DECT images had an overall sensitivity of 84%, specificity of 97%, and accuracy of 95%, intra- and inter-observer agreements ranged from k = 0.74 to k = 0.90. CT numbers were significantly different between vertebrae with edema on MR and those without (p < 0.0001). Cut-off values provided sensitivity of 85% (77%) and specificity of 82% (74%) for "CT edema" on thoracic (lumbar) vertebrae.

CONCLUSIONS

VNC DECT images allowed an accurate demonstration of trauma-related abnormal attenuation in VCF, revealing the acute nature of the fracture, on both visual and quantitative evaluation.

摘要

目的

前瞻性评估虚拟非钙(VNC)双能 CT(DECT)图像在 MRI 作为参考标准的情况下,对创伤相关骨髓衰减异常的显示能力,用于评估塌陷和非塌陷性椎体压缩性骨折(VCF)。

材料与方法

本项 IRB 批准的研究连续纳入 20 例非肿瘤性 VCF 患者,并对其进行脊柱 MRI 和 DECT 检查。MR 检查作为参考标准。两位独立的读者对所有椎体的 VNC DECT 图像上的异常骨髓衰减(“CT 水肿”)进行了视觉评估;计算了特异性、敏感性、预测值、观察者内和观察者间的一致性。最后一位读者对 CT 数进行了定量评估;使用 ROC 分析计算了截断值。

结果

在视觉分析中,VNC DECT 图像的总体敏感性为 84%,特异性为 97%,准确性为 95%,观察者内和观察者间的一致性范围为 k=0.74 至 k=0.90。MR 上有水肿的椎体与无水肿的椎体之间的 CT 数有显著差异(p<0.0001)。截断值对胸(腰)椎上的“CT 水肿”提供了 85%(77%)的敏感性和 82%(74%)的特异性。

结论

VNC DECT 图像可以在视觉和定量评估上准确地显示 VCF 中的创伤相关异常衰减,揭示骨折的急性特征。

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Unreported vertebral body compression fractures at abdominal multidetector CT.腹部多层 CT 检查未报告的椎体压缩性骨折。
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Dual-energy CT applications in musculoskeletal disorders.
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Br J Radiol. 2024 Mar 28;97(1156):705-715. doi: 10.1093/bjr/tqae023.
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Utilization of a two-material decomposition from a single-source, dual-energy CT in acute traumatic vertebral fractures.单源双能量CT的双物质分解在急性创伤性椎体骨折中的应用
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A Deep Learning-Based Model for Classifying Osteoporotic Lumbar Vertebral Fractures on Radiographs: A Retrospective Model Development and Validation Study.一种基于深度学习的X线片上骨质疏松性腰椎骨折分类模型:一项回顾性模型开发与验证研究。
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