使用增强超声引导（CEUS）对非块状乳腺病变（NML）进行定量表征，并评估其在BI-RADS分类中的附加诊断价值。本研究对连续患有NML的病人进行了前瞻性研究。所有病变通过灰阶超声和CEUS检查，并经过病理学诊断。30岁以上病人接受常规乳房X线检查。三名独立放射科医师根据灰阶超声和乳房X线检查评估特征，并根据BI-RADS分类对NML进行分类。结合对CEUS的定量分析，重新评估了BI-RADS分类，并计算了敏感性、特异性、阳性预测值、阴性预测值和受试者工作特性曲线下面积（AUC）以评估诊断表现。最终纳入了30个良性和24个恶性NML病例，其中原位导管癌占恶性病例的大多数（15/24）。发现平均对比信号强度（AI）、灌注速率（WiR）和40秒时的增强强度（I40）是诊断恶性NML的最有效动力学参数。结合AI的205.2、WiR的127.8和I40的136.4的截断值，诊断准确性得到了改善（AUC=0.904），敏感性为95.8%，特异性为70.0%。结果表明，高度增强、快速注入和排出是恶性NML的特征。使用CEUS进行动力学分析可以反映恶性NML的高血管性质，从而结合灰阶超声提高诊断表现。本研究通过CEUS对非块状乳腺病变的增强特征进行了定量化。我们发现CEUS与常规超声相结合，可提高诊断恶性NML的敏感性。

To characterize non-mass breast lesions (NML) quantitatively by contrast-enhanced ultrasound (CEUS) and to evaluate its additional diagnostic value based on the BI-RADS categories.A prospective study was performed among consecutive patients with NMLs. All lesions were examined by grayscale ultrasound and CEUS and diagnosed on pathology. Standard mammograms were obtained in the patients over 30 years old. Three independent radiologists assessed the features on grayscale ultrasound and mammograms and classified NMLs according to BI-RADS categories. Combined with the quantitative analysis in CEUS, the BI-RADS categories were reassessed, and the sensitivity, specificity, positive predictive value, negative predictive value and area under the receiver operating characteristic curve (AUC) were calculated for the evaluation of the diagnostic performance.30 benign and 24 malignant NMLs were finally enrolled in this study, with ductal carcinoma in situ being the majority of malignant (15/24). Average contrast signal intensity (AI), wash-in rate (WiR) and enhancement intensity at 40 s (I40) were found to be the most efficient kinetic parameters to diagnose malignant NMLs. Combined with the cutoff values of 205.2 for AI, 127.8 for WiR and 136.4 for I40, the diagnostic accuracy was improved (AUC = 0.904), with the sensitivity of 95.8% and the specificity of 70.0%.The results suggested that hyper-enhancement and rapid wash-in and wash-out are the characteristics of malignant NMLs. The kinetic analysis using CEUS can reflect hypervascular nature of malignant NMLs, thus improving the diagnostic performance combined with grayscale ultrasound.In this study, we quantified the enhancement characteristics of non-mass breast lesions with CEUS. We revealed that the combination of CEUS and conventional ultrasound provided higher sensitivity for diagnosing malignant NMLs.