检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:李敏红[1] 陈德基[1] 罗永良[1] 李敏健[1] 林建华[1] 余林[1]
机构地区:[1]广州医科大学附属第二医院放射科,510260
出 处:《临床放射学杂志》2015年第1期36-40,共5页Journal of Clinical Radiology
摘 要:目的探讨乳腺癌动态增强MRI的影像学征象与细胞分子表型之间的相关性。方法回顾性分析85例经手术病理确诊的乳腺癌患者术前MRI资料,采用统计学方法分析MRI影像学征象与乳腺癌分子表型之间的相关性。免疫组织化学检测采用二步法观察癌组织中雌激素受体(ER)、孕激素受体(PR)和人类表皮生长因子受体2(Cerb B-2)的表达水平。结果动态增强MRI诊断乳腺癌病理类型的敏感性和特异性分别为94.0%和80.0%,诊断其分化程度的敏感性和特异性分别94.8%和71.4%。肿瘤的形态和边缘与其病理类型和组织学分级相关(χ2值分别为6.21和5.88,P均<0.05),肿瘤形态和环形强化均与ER和PR的阴性表达相关(P<0.05),环形强化和肿瘤内部坏死与Cerb B-2的阳性表达相关(P<0.05),而肿瘤边缘与ER、PR和Cerb B-2的表达均无相关性(P>0.05)。肿瘤不规则形态可以预测ER的阴性表达,而环形强化是ER、PR阴性预测因子(P<0.05),肿瘤内部坏死是Cerb B-2阳性表达的预测因子(P<0.05)。结论乳腺癌MRI的影像学特征对判断肿瘤类型和组织学分级具有一定的指导意义,可预测乳腺癌的分子表型表达情况,评估预后。Objective To investigate the correlation between MRI imaging characteristics and Cell molecular phenotype of breast cancers. Methods The preoperative MRI materials of 85 patients with pathologically-proved breast cancer were retrospectively analyzed. The correlation between MRI imaging characteristics and cell molecular phenotype was analyzed by using statistical analysis. ER, PR and CerbB-2 expressions in breast cancer tissue were determined with immunohistochem- ical method. Results The sensitivity and specificity of dynamic MRI in judging the pathological types of breast cancer were 94.0% and 80.0% respectively, and in judging the differentiation degree of the breast cancer were 94.8% and 71.4% respectively. The morphology and the border of the breast cancer demonstrated on MR scans carried a close rela- tionship with the pathological type and histological classification ( X2 = 6.21 and X2 = 5.88 respectively, P 〈 0.05 ). The morphology and circular enhancement were well related to the negative expression of ER and PR ( P 〈 0.05 ) , while the cir- cular enhancement bore a definite relationship with the necrosis within tumor as well as with the positive expression of CerbB-2 (P 〈 0.05 ). No statistically significant correlation existed between the shape of tumor' s margin and the expres- sions of ER and PR and CerbB-2 ( P 〉 0.05 ). The irregular shape of the tumor could predict the negative expression of ER, while the circular enhancement was a reliable predictor for the negative expression of ER and PR ( P 〈 0.05 ) and the necrosis within tumor was also a reliable predictor for the positive expression of CerbB-2 ( P 〈 0.05 ). Conclusion Breast cancers have certain MRI features, which are very helpful in judging the pathological type and histological classifica- tion, and also in predicting the molecular phenotypic expression as well as in evaluating the prognosis.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.65