1 Department of Radiology, Vancouver General Hospital, 3350-950 West 10th Ave, Vancouver, BC V5Z 1M9, Canada.
2 Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
AJR Am J Roentgenol. 2018 Apr;210(4):842-847. doi: 10.2214/AJR.17.18673. Epub 2018 Feb 22.
The purpose of this study is to determine the utility of dual-energy CT (DECT) for assessing carpal fractures and to obtain an attenuation value cutoff (in Hounsfield units) to identify bone marrow edema due to an acute carpal fracture.
In this retrospective study, 24 patients who presented with wrist fractures from September 3, 2014, through March 9, 2015, underwent imaging with DECT (80 and 140 kVp). Using the three-material decomposition algorithm specific for virtual noncalcium to construct images, two radiologists identified carpal fractures and associated bone marrow edema. Readers noted the attenuation at areas with and without bone marrow edema. The cutoff value was obtained by ROC analysis and was internally validated on 13 separate patients with suspected wrist fractures. A p < 0.05 was considered statistically significant.
CT attenuation was significantly higher in areas of bone marrow edema than in areas without it (p < 0.0001, t test). A cutoff of 5.90 HU allows detection of bone marrow edema associated with acute wrist fractures with 100% sensitivity and 99.5% specificity, compared with visual DECT interpretation. In the 13 validation cases, the cutoff of 5.90 HU identified bone marrow edema with 100% accuracy, compared with visual interpretation. Kappa values were 0.83 between the two readings by reader 1, and 0.73 and 0.96 comparing the two readings of reader 1 with the reading by reader 2.
DECT is a useful tool for identifying bone marrow edema in the setting of acute wrist fractures, providing an alternative to MRI. A cutoff value of 5.90 HU can be used for accurate diagnosis and exclusion of carpal fractures.
本研究旨在确定双能 CT(DECT)在评估腕骨骨折中的作用,并获得衰减值截断值(以亨氏单位表示),以识别急性腕骨骨折引起的骨髓水肿。
在这项回顾性研究中,2014 年 9 月 3 日至 2015 年 3 月 9 日期间,24 例因腕部骨折就诊的患者接受了 DECT(80 和 140 kVp)成像。使用特定于虚拟非钙的三物质分解算法构建图像,两位放射科医生识别腕骨骨折和相关骨髓水肿。读者注意到有和没有骨髓水肿的区域的衰减值。通过 ROC 分析获得截断值,并在 13 例疑似腕部骨折的患者中进行内部验证。p < 0.05 被认为具有统计学意义。
与无骨髓水肿区域相比,骨髓水肿区域的 CT 衰减值明显更高(p < 0.0001,t 检验)。与视觉 DECT 解读相比,5.90 HU 的截断值可检测到与急性腕部骨折相关的骨髓水肿,具有 100%的敏感性和 99.5%的特异性。在 13 例验证病例中,与视觉解释相比,5.90 HU 的截断值可准确识别骨髓水肿,准确率为 100%。读者 1 的两种读数之间的 Kappa 值为 0.83,读者 1 的两种读数与读者 2 的读数之间的 Kappa 值为 0.73 和 0.96。
DECT 是识别急性腕部骨折骨髓水肿的有用工具,为 MRI 提供了替代方法。5.90 HU 的截断值可用于准确诊断和排除腕骨骨折。