目的 探讨三维扰相梯度回波 (3D GRE)序列在膝关节软骨损伤中的诊 断价值，通过分析软骨的厚度、形态变 化、信号强度等，为早期诊断关节软骨 损伤提供依据。方法 收集150例18～60岁 膝关节损伤患者MRI成像资料，按年龄分 为18～40岁、41～60岁两组。磁共振常 规扫描T1WI、T2WI、T2WIFS及三维扰相 梯度回波成像(3D GRE)序列，在MRI 3D GRE序列矢状位上测量膝关节内外侧关节 面上下及髌软骨最厚处共5点关节软骨厚 度，应用SPSS 19.0统计学软件对结果进 行统计分析，以P＜0.05为差异有统计学 意义。结果 在膝关节软骨病变检查中， 三维扰相梯度回波(3D GRE)序列图像显 示软骨的厚度、形态变化及信号强度最 清晰，且图像的组织分辨率最高。结论 三维扰相梯度回波(3D GRE)序列技术是 目前MRI检查膝关节软骨损伤中最好的 技术，软骨损伤越严重，则软骨厚度越 薄，应用3D GRE序列可以减少漏诊、误 诊。

Objective Aims Discuss thevalue about three-dimensional spoiled gradient echo (3D GRE) sequence in the diagnosis of knee joint cartilage injury by observing and analyzing the signal strength of cartilage and the change of the thickness and shape, etc., to provide diagnostic basis for early detection of articular cartilage injury. Methods Collect 150 patients' cases of knee MRI imaging data between18 to 60, divided into two groups 18 to 40 and 41 to 60 years old. Conventional T1WI, T2WI, T2WI FS and three-dimensional spoiled gradient echo imaging (3D GRE) sequence MRI imaging, on knee joint cartilage and on sagittal MRI 3D GRE sequence a knee inside and outside joints under the surface and patellar cartilage is the most thick place, a total of 5 articular cartilage thickness, applying SPSS 19.0 statistical software for statistical analysis with P<0.05 for the difference statistically significant. Results in the inspection of knee joint cartilage lesions, the three-dimensional spoiled gradient echo(3D GRE) sequence image display the cartilage's signal strength, thickness and the clearest shape change, and the highest organization of the image resolution. Conclusion MRI three-dimensional spoiled gradient echo(3D GRE) sequence technique is currently the best in knee joint cartilage lesions, the more serious cartilage damage is, the thinner thickness of cartilage is, and can reduce missed diagnosis and misdiagnosis.