Department of Ultrasound, Sichuan Cancer Hospital Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
PLoS One. 2022 Mar 24;17(3):e0265952. doi: 10.1371/journal.pone.0265952. eCollection 2022.
To evaluate ultrasound characteristics in the prediction of malignant and benign phyllodes tumor of the breast (PTB) by using Logistic regression analysis.
79 lesions diagnosed as PTB by pathology were analyzed retrospectively. The ultrasound features of PTB were recorded and compared between benign and malignant tumors by using single factor and multiple stepwise Logistic regression analysis. Moreover, the Logistic regression model for malignancy prediction was also established.
There were 79 patients with PTB, including 39 benign PTBs and 40 malignant PTBs (33 borderline PTBs and 7 malignant PTBs by pathologic classification). The area under the ROC curve (AUC) of lesion size and age were 0.737 and 0.850 respectively. There were significant differences in age, lesion size, shape, internal echo, liquefaction, and blood flow between malignant and benign PTBs by using single-factor analysis (P<0.05). Age, internal echo, and liquefaction were significant features by using Logistic regression analysis. The corresponding regression equation In (p/(1 - p) = -3.676+2.919 internal echo +3.029 liquefaction +4.346 age).
Internal echo, age, and liquefaction are independent ultrasound characteristics in predicting the malignancy of PTBs.
通过 Logistic 回归分析评估超声特征在预测乳腺叶状肿瘤（PTB）良恶性中的作用。
回顾性分析经病理诊断为 PTB 的 79 个病灶。记录 PTB 的超声特征，并通过单因素和多步 Logistic 回归分析比较良性和恶性肿瘤之间的差异。此外，还建立了用于恶性预测的 Logistic 回归模型。
79 例患者中，良性叶状肿瘤 39 例，恶性叶状肿瘤 40 例（按病理分类，交界性叶状肿瘤 33 例，恶性叶状肿瘤 7 例）。病灶大小和年龄的 ROC 曲线下面积（AUC）分别为 0.737 和 0.850。单因素分析显示，年龄、病灶大小、形态、内部回声、液化和血流在良恶性 PTB 之间存在显著差异（P<0.05）。Logistic 回归分析显示年龄、内部回声和液化是显著特征。相应的回归方程为 In（p/（1-p）=-3.676+2.919 内部回声+3.029 液化+4.346 年龄）。
内部回声、年龄和液化是预测 PTB 恶性程度的独立超声特征。
