本文選題：腎錯構(gòu)瘤　切入點：腎透明細胞癌　出處：《臨床放射學雜志》2017年07期

【摘要】：目的探討CT紋理分析對鑒別乏脂肪腎錯構(gòu)瘤與腎透明細胞癌的價值。方法回顧性分析經(jīng)手術(shù)病理證實的16例乏脂肪腎錯構(gòu)瘤與79例腎透明細胞癌的CT增強圖像;通過紋理分析的方法測得其平均值、標準差、熵、不均勻度、峰值、偏度等定量參數(shù),并進行統(tǒng)計學分析。結(jié)果兩位觀察者測得的CT紋理分析定量參數(shù)的一致性分析結(jié)果如下:平均值、標準差、熵、不均勻度、峰值及偏度的Cronbachα系數(shù)分別為:0.97、0.93、0.97、0.94、0.56、0.68。紋理分析定量參數(shù)中差、熵、不均勻度三個參數(shù)兩組間比較結(jié)果具有顯著差異:標準差(t=3.60,P0.01),熵(t=4.80,P0.01),不均勻度(t=3.86,P0.01);利用標準差鑒別兩組腫瘤的曲線下面積、閾值、敏感性、特異性、準確性分別為:0.78、45.46、70.9%、81.2%、72.6%;利用熵鑒別兩組腫瘤的曲線下面積、閾值、敏感性、特異性、準確性分別為:0.82、4.50、84.8%、68.8%、82.1%;利用不均勻度鑒別兩組腫瘤的曲線下面積、閾值、敏感性、特異性、準確性分別為:0.80、0.09、70.9%、81.2%、72.6%。利用多參數(shù)聯(lián)合鑒別腎乏脂肪錯構(gòu)瘤與腎透明細胞癌的效能:標準差+熵鑒別兩組腫瘤的曲線下面積、敏感性、特異性、準確性分別為:0.83%、75.0%、81.0%、80.0%;標準差+不均勻度鑒別兩組腫瘤的曲線下面積、敏感性、特異性、準確性分別為:0.81%、81.2%、70.1%、71.6%;熵+不均勻度鑒別兩組腫瘤的曲線下面積、敏感性、特異性、準確性分別為:0.83、81.2%、70.1%、72.6%;標準差+熵+不均勻度鑒別兩組腫瘤的曲線下面積、敏感性、特異性、準確性分別為:0.84、87.5%、69.6%、72.6%。結(jié)論 CT紋理分析的部分定量參數(shù)(標準差、熵、不均勻度)可用于鑒別乏脂肪錯構(gòu)瘤與腎細胞癌。
[Abstract]:Objective to evaluate the value of CT texture analysis in differentiating adipogenic renal hamartoma from renal clear cell carcinoma. Methods CT enhanced images of 16 cases of adipose renal hamartoma and 79 cases of renal clear cell carcinoma proved by surgery and pathology were retrospectively analyzed. The quantitative parameters such as average value, standard deviation, entropy, non-uniformity, peak value, deviation and so on are measured by means of texture analysis. Results the consistency of the quantitative parameters of CT texture analysis measured by two observers was as follows: mean value, standard deviation, entropy, non-uniformity, The Cronbach 偽 coefficients of peak value and skewness are 0. 97 / 0. 93 / 0. 97 / 0. 94 / 0. 566 / 0. 68 respectively. There are significant differences between the three groups in the quantitative parameters of texture analysis: standard deviation is 3. 60% P0.01g, entropy is 4. 80 P0. 01, heterogeneity is 3. 86% P0. 01, and the area under the curve of the two groups is identified by using standard deviation. The threshold value, sensitivity, specificity, accuracy were 72.6. the area under the curve, threshold, sensitivity, specificity and accuracy of the two groups were identified by entropy, respectively. The area under the curve, the threshold, the sensitivity, the specificity and the accuracy of the tumor in the two groups were respectively 82.1.The area under the curve, the threshold, the sensitivity, the specificity, and the accuracy of the two groups were respectively 82.1.The area under the curve, the threshold, the sensitivity, the specificity, and the accuracy of the two groups were identified by non-uniformity. The sensitivity, specificity and accuracy of the two groups were respectively 81.20.The effectiveness of multiple parameters in differentiating renal adipose hamartoma from renal clear cell carcinoma: the area under the curve, sensitivity and specificity of the two groups of tumors were identified by standard deviation entropy. The accuracy of the two groups of tumors was 75.0 and 81.0, respectively; the area under the curve, sensitivity, specificity, and accuracy of the standard deviation non-uniformity were 70.1 and 71.6, respectively; the area under the curve, sensitivity, specificity, and specificity of the two groups of tumors were identified by entropy non-uniformity, and the area under the curve, sensitivity, specificity, and specificity of the two groups of tumors were identified. The accuracy was 70.1% and 72.6% respectively; the standard deviation entropy unevenness was used to identify the area, sensitivity, specificity and accuracy of the two groups of tumors under the curve, respectively. The sensitivity, specificity and accuracy of the two groups were 69.66.Conclusion some quantitative parameters of CT texture analysis (standard deviation, entropy, entropy), Heterogeneity) can be used to differentiate adipose hamartoma from renal cell carcinoma.
【作者單位】： 徐州醫(yī)學院附屬醫(yī)院放射科;
【分類號】：R730.44;R737.11

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