目的 研究乳腺钼钯、超声弹性 成像与MRI临床用于诊断乳腺癌的应用价 值，为今后临床诊断提供参考与借鉴，以 提高对乳腺癌的诊断水平。方法 以我院 收治的68例乳腺癌患者为研究对象，对 其进行钼钯X线检查、超声弹性成像检查 以及MRI检查，对比分析三种影像学检查 方法检出肿块、毛刺征和钙化的情况， 探讨钼钯X线、超声弹性成像与MRI临床 用于诊断乳腺癌的应用价值。结果 钼钯 X线对肿块、毛刺征、钙化的检出率分别 为50.0%、35.3%、73.5%；超声弹性成像 对肿块、毛刺征、钙化的检出率分别为 73.5%、51.5%、35.3%，MRI对肿块、毛 刺、钙化的检出率分别为86.8%、77.9%、 22.1%，钼钯X线联合超声弹性成像对三种 的检出率比较好。结论 钼钯X线检查、超 声弹性成像检查具有操作简单、方便、费 用低的优势，但是单一检查的准确率还有 待提高，但是二者联合检查的准确率比较 高；MRI检查的敏感性比较高，可以清楚 显示乳腺内病变的细微结构，在临床实践 中，可以将这三种两两结合进行检查，以 提高对乳腺癌的准确诊断。

Objective This paper is to investigate the application value of molybdenum & palladium elastography and MRI clinically for diagnosing breast cancer and to provide the reference for clinical diagnosis in the future in order to improve the level of the diagnosis on the breast cancer. Methods Sixty eight patients with breast cancer were selected as research subjects, who were subject to molybdenum & palladium X-ray examination, ultrasonic elastography and MRI, the detections of three methods of imageological examination methods on lump, speculate sign and calcification were compared and analyzed, clinical application value of molybdenum & palladium elastography and MRI for diagnosing breast cancer was explored. Results The detection rates of molybdenum palladium X-ray on the lump, spicule sign and calcification hit 50.0%, 35.3% and 73.5% respectively. The detection rates of ultrasound elasticity imaging on the lumps, spicule sign and calcification hit 73.5%, 51.5% and 35.3%, respectively. The detection rates of MRI on the lumps, spicule sign and calcification hit 86.8%, 77.9% and 86.8% respectively, and such three detection rate of molybdenum palladium X-ray combining ultrasound elasticity imaging deliver were better. Conclusion The molybdenum & palladium X-ray and ultrasonic elastography are provided with advantages including simple and convenient operation and low cost, but the accuracy of single check needs to be improved, while the accuracy of combined examination of two method abovementioned is higher. The sensitivity of MRI is higher, and it can clearly show fine structure of breast lesions in clinical practices and these three methods can be combined in pairs in order to improve the accurate diagnosis on the breast cancer.