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目的:评估并建立纳入对照侧周缘区时间强度曲线参数峰值强度预测前列腺周缘区结节恶性风险的列线图。方法:对49例首次发现前列腺周缘区结节患者[分为良性结节组(29例)及恶性结节组(20例)]经直肠超声造影,选择结节及对照侧周缘区分别采集时间强度曲线参数并提取峰值强度,利用Logistic回归分析及统计软件分析并建立预测结节恶性风险的列线图,再进行内部验证。结果:恶性组结节区峰值强度明显高于良性结节组(15.6±3.6 vs 12.3±4.1,P=0.009),对照侧周缘区峰值强度两组之间差异无统计学意义(P=0.787)。利用Logistic回归分析纳入正常周缘区峰值强度后,ROC曲线下面积从0.679增至0.843,绘制相应列线图,内部验证显示C-index为0.843,平均绝对误差为0.036。结论:纳入对照侧周缘区峰值强度可明显提高结节区峰值强度诊断前列腺结节的准确性,而据此建立并经内部验证的列线图显示了良好的预测及鉴别能力。
OBJECTIVE: To assess and establish a nomogram that predicts the malignant risk of nodules in the peripheral region of the prostate using the peak intensity of the time intensity curve parameter in the peripheral side of the control. Methods: Forty-nine patients with benign nodules (n = 29) and malignant nodules (n = 20) were found for the first time in the peripancreatic nodules of prostate. The time of rectal ultrasonography, Intensity curve parameters and extract the peak intensity, Logistic regression analysis and statistical software analysis and the establishment of nodular malignant risk nomogram, and then verify the internal. Results: The peak intensity of malignant nodules was significantly higher than that of benign nodules (15.6 ± 3.6 vs 12.3 ± 4.1, P = 0.009), and there was no significant difference between the two groups (P = 0.787) . Logistic regression analysis showed that the area under the ROC curve increased from 0.679 to 0.843 after inclusion of peak intensity in the normal peripheral region, and the corresponding alignment was drawn. The internal validation showed that the C-index was 0.843 and the mean absolute error was 0.036. CONCLUSIONS: The inclusion of peak intensity in the peripheral margins of the control side can significantly improve the accuracy of the nodules’ peak intensity in the diagnosis of prostatic nodules, and the established and internally validated nomograms show good predictive and discriminatory power.