Cao Jian-Xin, Wang Yi-Min, Kong Xiang-Quan, Yang Cheng, Wang Peng
Department of Radiology, Wuhan 161th Hospital, 68 Huangpu Road, Wuhan 430010, China.
Department of Radiology, Union Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China.
Eur J Radiol. 2015 Jun;84(6):1109-15. doi: 10.1016/j.ejrad.2015.03.003. Epub 2015 Mar 16.
To evaluate the capacity of dual-energy computed tomography (DECT) virtual non-calcium (VNCa) images in detecting post-traumatic bone marrow lesions (BMLs) in the knee with a new grading system.
DECT and magnetic resonance (MR) imaging were used to examine acute trauma of the knee in 32 patients. VNCa images were generated by dual-energy subtraction of calcium, and the lower end of the femur and upper end of the tibia each were divided into six regions for grading of bone marrow by two musculoskeletal radiologists using a four-grading system (Grade 4, very obvious lesions; Grade 3, relatively obvious lesions; Grade 2, slight or suspicious lesion on VNCa image and mild lesion on MR image; Grade 1, normal bone marrow). CT values were obtained in the BMLs. MR images were used as the reference standard. Grade 3-4 bone marrow was regarded as a positive result to evaluate the performance of VNCa images in detecting traumatic BMLs in the knee, and receiver operating characteristic (ROC) curve analysis of VNCa images for detection of knee BMLs was performed based on CT value of the bone marrow.
Bone marrow rating by the two radiologists showed very good consistency (κ=0.850 and 0.869 for VNCa and MR images, respectively). VNCa and MR images had good consistency (κ=0.799 for lower end of the femur; κ=0.659 for upper end of the tibia). When Grade 3-4 bone marrow was regarded as a positive result, the sensitivity, specificity, positive predictive value, and negative predictive value of VNCa images for detection of BMLs in the lower end of the femur were 73.5%, 98.6%, 94.7%, and 91.6%, respectively, and the values in the upper end of the tibia were 91.0%, 100.0%, 100.0%, and 95.4%, respectively. The CT values of bone marrow were (-52.5 ± 31.3) HU in positive area and (-91.2 ± 16.9) HU in negative area for the lower end of the femur, and those were (-51.3 ± 30.2) HU in positive area and (-104.7 ± 17.5) HU in negative area for the upper end of the tibia (all p values<0.0001). The areas under the ROC curve of VNCa images for detection of BMLs were 0.875 for the lower end of the femur and 0.939 for the upper end of the tibia.
Good interrater reliability of this new grading system in detecting traumatic BMLs in the knee by VNCa images of DECT can be obtained with good diagnostic predictive values.
采用一种新的分级系统评估双能计算机断层扫描(DECT)虚拟去钙(VNCa)图像检测膝关节创伤后骨髓损伤(BMLs)的能力。
对32例膝关节急性创伤患者进行DECT和磁共振(MR)成像检查。通过对钙进行双能减影生成VNCa图像,股骨下端和胫骨上端各分为六个区域,由两名肌肉骨骼放射科医生使用四级分级系统对骨髓进行分级(4级,损伤非常明显;3级,损伤相对明显;2级,VNCa图像上有轻微或可疑损伤且MR图像上为轻度损伤;1级,骨髓正常)。在BMLs中获取CT值。以MR图像作为参考标准。将3 - 4级骨髓视为阳性结果,评估VNCa图像检测膝关节创伤性BMLs的性能,并基于骨髓CT值对VNCa图像检测膝关节BMLs进行受试者操作特征(ROC)曲线分析。
两名放射科医生对骨髓的分级显示出非常好的一致性(VNCa图像和MR图像的κ值分别为0.850和0.869)。VNCa图像和MR图像具有良好的一致性(股骨下端κ = 0.799;胫骨上端κ = 0.659)。当将3 - 4级骨髓视为阳性结果时,VNCa图像检测股骨下端BMLs的灵敏度、特异度、阳性预测值和阴性预测值分别为73.5%、98.6%、94.7%和91.6%,胫骨上端的相应值分别为91.0%、100.0%、100.0%和95.4%。股骨下端阳性区域骨髓的CT值为(-52.5±31.3)HU,阴性区域为(-91.2±16.9)HU;胫骨上端阳性区域骨髓的CT值为(-51.3±30.2)HU,阴性区域为(-104.7±17.5)HU(所有p值<0.0001)。VNCa图像检测BMLs的ROC曲线下面积,股骨下端为0.875,胫骨上端为0.939。
通过DECT的VNCa图像检测膝关节创伤性BMLs时,这种新的分级系统具有良好的评分者间可靠性和良好的诊断预测价值。