摘要
Abstract
Objective:To evaluate the diagnostic value of conventional CT plain scan and multiplanar reconstruction in the classification of distal radius fractures.Methods:The clinical data of 86 patients with distal radius fracture admitted to our hospital from January 2022 to January 2024 were retrospectively analyzed.Conventional CT plain scan and multi-plane reconstruction techniques were used to analyze the AO typing and the diagnostic value of different methods was analyzed using arthroscopic surgery as the gold standard.The number of intra-articular bone mass,the thickness of dorsal bone mass,and the separation and displacement distance of dorsal margin were compared between different methods.Results:Out of 86 patients,30 were positive(type A)and 56 were negative(36 were type B and 20 were type C)detected through arthroscopic surgery;Among them,26 cases were detected as positive(type A),and 60 cases were negative(35 cases of type B+25 cases of type C)by routine CT plain scan;Multi plane reconstruction technology detected 29 positive cases(type A)and 57 negative cases(36 cases of type B+21 cases of type C)The sensitivity and accuracy of multi-plane reconstruction in the diagnosis of distal radius fracture were higher than that of conventional CT,with statistical difference(P<0.05).The number of bone fragments in the joint,the thickness of the dorsal bone fragments,and the separation and displacement distance of the dorsal border were(1.94±0.29),(1.82±0.26)mm,(1.67±0.28)mm,respectively,which were better than(1.42±0.22),(1.47±0.24)mm,(1.12±0.19)mm of conventional CT plain scan,and there were statistical differences(P<0.05).Conclusion:The multi-plane reconstruction technique is more valuable in the diagnosis of distal radius fracture classification,which can accurately identify the disease classification before surgery,better formulate the surgical plan.关键词
桡骨远端骨折/骨折分型/常规CT平扫/多平面重建技术/诊断价值Key words
distal radius fracture/Fracture classification/Conventional CT plain scan/Multi plane reconstruction technology/diagnostic value分类
医药卫生
