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超声弹性成像与MRI诊断乳腺癌的临床价值的对比性研究 被引量:15

Comparative Study on the Clinical Value of Ultrasound Elastography and MRI in the Diagnosis of Breast Cancer
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摘要 目的比较超声弹性成像(UE)与核磁共振成像(MRI)诊断乳腺癌的临床价值。方法回顾性分析2017年12月-2018年12月,因乳腺肿块至我院就诊并行手术切除的68例患者的病例资料,均于术前行UE与MRI检查,以病理诊断结果为金标准,比较两种检查方法的诊断效能。结果本组68例患者经病理诊断为良性肿块29例,经病理诊断为乳腺癌39例;US诊断灵敏度、特异度及准确性分别为79.49%、75.86%、77.94%;MRI诊断灵敏度、特异度及准确性分别为84.62%、86.21%、84.29%;US联合MRI诊断灵敏度、特异度及准确性分别为97.44%、100.00%、98.53%,显著高于US、MRI单独诊断,差异有统计学意义(P<0.05)。结论UE与MRI联合应用诊断乳腺癌具可行性,诊断效能更高,对患者临床治疗方案的选择及预后具重要意义。 Objective To compare the clinical value of ultrasound elastography(UE) and magnetic resonance imaging(MRI) in the diagnosis of breast cancer. Methods A retrospective analysis was performed on the the case data from 68 patients who were admitted to the hospital due to breast mass and underwent surgical resection from December 2017 to December 2018. All of them underwent UE and MRI before surgery. Taking the pathological diagnosis results as the golden standard, the diagnostic efficiency of the two examination methods were compared. Results In the 68 patients, there were 29 cases with benign masses, and 39 cases with breast cancer diagnosed by pathology. The sensitivity, specificity and accuracy of US diagnosis were 79.49%, 75.86% and 77.94%, respectively. The above 3 indexes of MRI diagnosis were 84.62%, 86.21% and 84.29%, respectively. The above 3 indexes of US combined with MRI were 97.44%, 100.00% and 98.53%, respectively, which were significantly higher than those of US or MRI(P<0.05). Conclusion The combination application of UE and MRI is feasible for the diagnosis of breast cancer. And the diagnostic efficiency is higher. It is of great significance for the choice of clinical treatment options and prognosis.
作者 张春菊 孙成 宋贵良 ZHANG Chun-ju;SUN Cheng;SONG Gui-liang(Department of Ultrasonic,The Second People's Hospital of Luohe City,Luohe 462000,Henan Province,China)
出处 《中国CT和MRI杂志》 2020年第2期16-18,F0003,共4页 Chinese Journal of CT and MRI
关键词 超声弹性成像 核磁共振成像 乳腺癌 诊断效能 Ultrasound Elastography Magnetic Resonance Imaging Breast Cancer Diagnostic Efficiency
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