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价值，通 过观察分析软骨的信号强度、厚度及形态 的变化等，为早期发现关节软骨损伤提供 诊断依据。方法 收集200例18-60岁患者 膝关节MRI成像资料，按年龄分为18-40 岁、41-60岁两组。常规行T1WI、T2WI、 水脂分离技术(WFS)及三维扰相梯度回波 成像(3D GRE)序列进行膝关节软骨MRI成 像，且在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，均以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信号强度、厚度 及形态变化最清晰，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检查膝关节软骨病变 中最好的技术，软骨损伤越严重，软骨厚 度越薄，并且可以减少漏诊、误诊。

Objective To discuss the value 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 200 patients' cases of knee MRI data were collected between18 to 60, they were divided into two groups which was 18 to 40 and 41 to 60 years old respectively and they were both checked by conventional T1WI, T2WI, water fat separation technology (WFS) and threedimensional spoiled gradient echo imaging (3D GRE) sequence of MRI, 5 places of articular cartilage thickness were measured on knee joints and patellar cartilage by sagittal MRI 3D GRE sequence, 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 with the highest image resolution. Conclusion MRI three-dimensional spoiled gradient echo(3D GRE) sequence is currently the best diagnostic technique in knee joint cartilage lesions. The more serious cartilage damage is, The thinner thickness of cartilage is, and can reduce missed diagnosis and misdiagnosis.