本文關(guān)鍵詞： 乳腺超聲 病理分級(jí) 超聲彈性成像 乳腺影像報(bào)告和數(shù)據(jù)系統(tǒng) 浸潤(rùn)性癌　出處：《鄭州大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

【摘要】：目的分析BI-RADS標(biāo)準(zhǔn)化超聲征象能否用于預(yù)測(cè)乳腺浸潤(rùn)性癌,非特殊型病理分級(jí),探討超聲彈性圖像面積比在乳腺浸潤(rùn)性癌,非特殊型不同病理分級(jí)之間差異。方法入選2015年1月至2016年2月的283例單發(fā)乳腺浸潤(rùn)性癌,非特殊型患者,所有患者均于本院行超聲檢查,并經(jīng)術(shù)后病理確診。術(shù)前參考第5版BI-RADS標(biāo)準(zhǔn)化術(shù)語(yǔ)進(jìn)行記錄,最終給予BI-RADS分類。應(yīng)用χ2檢驗(yàn)、Spearman相關(guān)分析分析各超聲征象、彈性成像面積比與病理分級(jí)的相關(guān)性。彈性圖像面積比與浸潤(rùn)性癌,非特殊型不同病理分級(jí)之間行方差分析,分析不同病理分級(jí)之間彈性圖像面積比之間是否存在差異。把浸潤(rùn)性癌病理分級(jí)作為因變量,腫塊的超聲征象(包括BI-RADS分類及彈性圖像面積比)為自變量建立Logistic回歸模型,對(duì)獨(dú)立影響乳腺浸潤(rùn)性癌病理分級(jí)的超聲征象進(jìn)行篩選。結(jié)果多因素分析顯示邊緣、后方回聲特征與乳腺浸潤(rùn)性癌病理分級(jí)密切相關(guān)(OR=50.73、246.60,P均0.05)。并與病理結(jié)果吻合度較好(χ2=29.145、62.079,P均0.01),能夠預(yù)測(cè)乳腺浸潤(rùn)性癌,非特殊型病理級(jí)別。浸潤(rùn)性癌,非特殊型不同病理級(jí)別之間超聲彈性圖像面積比方差分析,浸潤(rùn)性癌,非特殊型Ⅲ級(jí)與I級(jí)、II級(jí)之間差異有統(tǒng)計(jì)學(xué)意義(P=0.02,P=0.01),且與與病理級(jí)別相關(guān)(r=0.519,P=0.00)。結(jié)論腫塊邊緣、后方回聲特征能夠一定程度上預(yù)測(cè)乳腺浸潤(rùn)性癌,非特殊型病理分級(jí),且不同病理級(jí)別浸潤(rùn)性癌,非特殊型之間超聲彈性成像圖面積比不同,高級(jí)別浸潤(rùn)性癌,非特殊型傾向于邊緣不光整、后方回聲增強(qiáng)及更大的面積比。
[Abstract]:Objective to analyze whether BI-RADS standardized ultrasound signs can be used to predict invasive breast cancer and non-special pathological grade, and to explore the area ratio of ultrasonic elastic image in invasive breast carcinoma. Methods from January 2015 to February 2016, 283 cases of single invasive breast cancer and non-special type of breast cancer were selected. All the patients were examined by ultrasound in our hospital. It was confirmed by postoperative pathology and recorded with reference to the 5th edition of BI-RADS standardized terminology before operation. Finally, BI-RADS classification was given. 蠂 2 test was used. Spearman correlation analysis was used to analyze the correlation between ultrasound signs, the area ratio of elastic imaging and pathological grade, and the variance analysis between the area ratio of elastic image and invasive carcinoma and different pathological grades of non-special type. To analyze whether there are differences in the elastic image area ratio between different pathological grades and take the pathological grade of invasive carcinoma as a dependent variable. The ultrasonic signs (including BI-RADS classification and area ratio of elastic images) were used as independent variables to establish Logistic regression model. Results Multivariate analysis showed that the posterior echo features were closely related to the pathological grade of invasive breast carcinoma. 246.60 P was 0.05% and had a good agreement with pathological results (蠂 ~ 2 ~ 2 ~ (29.145) ~ 62.079 P, P = 0.01), which could predict invasive breast cancer. Non-special pathological grade. Invasive carcinoma, non-special type of different pathological grade of ultrasound elastic image area ratio analysis of variance analysis, invasive carcinoma, non-special type 鈪，

本文編號(hào)：1467469