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机构地区:[1]江西省九江市第一人民医院,江西九江332000
出 处:《中国医学创新》2014年第33期132-134,共3页Medical Innovation of China
基 金:江西省卫生厅科技计划项目(20142062)
摘 要:目的:探讨乳腺密度联合Gail模型对女乳腺癌诊断的临床价值。方法:选择40例患者,所有患者均病理检查确诊乳腺癌,联合组使用乳腺密度检测联合Gail模型进行评估,乳腺密度则单纯通过乳腺密度检查,Gail模型组单纯使用Gail模型评估,比较各组对乳腺癌诊断的价值。结果:Gail模型分型结果显示,高风险者拟诊恶性比率多于良性者(P<0.05);乳腺密度结果显示,拟诊恶性者其乳腺密度高于拟诊良性者(P<0.05);联合组病理相符度为97.5%,高于乳腺密度组和Gail模型组(P<0.05)。结论:乳腺密度联合Gail模型预测乳腺癌,能显著提高其诊断乳腺癌符合率,利于对高风险人群进行早期干预,达到降低乳腺癌死亡率的目的。Objective:To investigate the clinical value of breast density combined with Gail model for the diagnose of breast cancer.Method:40 patients diagnosed with breast cancer pathology were chosen,the combined group were used breast density detection combined with the Gail model to assess breast cancer,the breast density group were used breast density,the Gail model group were used the Gail model,then the value of diagnosis for breast cancer were evaluate and compared.Result: The Gail model group with high-risk persons of suspected malignant ratio was higher than optimum(P〈0.05), breast density showed that suspected malignant breast density was higher than optimum(P〈0.05),pathology consistent with the combined group was 97.5%,it was higher than the breast density group and the Gail model group(P〈0.05).Conclusion:Gail model combined with breast density predicting breast cancer for women can improve the predictive positive rate and conducive the high-risk groups for early intervention,so as to reduce breast cancer mortality.
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