ISSN 1004-4140
    CN 11-3017/P

    MRI对乳腺X线BI-RADS 4类良恶性病变的诊断价值

    Diagnostic Value of Breast MRI in Differentiating Benign and Malignant Lesions Classified as BI-RADS Category 4 on Routine X-ray Mammography

    • 摘要:
      目的 探讨乳腺磁共振成像(MRI)在常规乳腺X线表现乳腺影像报告及数据系统(BI-RADS)4类中良恶性病变的诊断价值。
      方法 选取2022年9月至2025年1月在我院就诊的常规乳腺X线表现乳腺BI-RADS 4类患者110例,比较良恶性病灶MRI特征、定量参数差异。
      结果 110例患者中,病理结果恶性患者74例,良性患者36例;恶性病灶不规则形、边缘不光滑和时间-信号强度(TIC)曲线平台型比例分别为83.78%、86.49%和64.86%,明显高于良性病灶;恶性病灶MRI定量参数容积转运常数(Ktrans)为(0.61±0.20)min−1,明显高于良性病灶,而表观扩散系数(ADC)值为(1.11±0.16)×10−3mm2/s,明显低于良性病灶;Logistic回归分析显示:病灶形态、病灶边缘、TIC曲线类型、Ktrans、ADC值是恶性病变的影响因素;ROC曲线分析显示该模型诊断恶性病变的曲线下面积为0.854(95%CI:0.805~0.902),P<0.05,灵敏性和特异性分别为75.20%和85.90%。
      结论 乳腺MRI在常规乳腺X线表现BI-RADS 4类良恶性病变诊断中有较好的应用价值。

       

      Abstract: Objective: To evaluate the diagnostic value of breast magnetic resonance imaging (MRI) in differentiating benign and malignant lesions classified as Breast Imaging Reporting and Data Systems (BI-RADS) category 4 on conventional X-ray mammography. Methods: A total of 110 patients with breast lesions classified as BI-RADS category 4 on conventional mammography, who were examined at our hospital between September 2022 and January 2025, were retrospectively enrolled. MRI morphological features and quantitative parameters were compared between benign and malignant lesions. Results: Among the 110 patients, 74 were malignant and 36 were benign based on pathological examination. Malignant lesions more frequently exhibited irregular shape, non-smooth margins, and a plateau-type time signal intensity curve (TIC), with proportions of 83.78%, 86.49%, and 64.86%, respectively; these values were significantly higher than those observed in benign lesions. The MRI quantitative parameter volume transport constant (Ktrans) was significantly higher in malignant lesions than in benign lesions (0.61 ± 0.20 min−1 vs. benign lesions, P < 0.05), whereas the apparent diffusion coefficient (ADC) value was significantly lower in malignant lesions (1.11 ± 0.16) × 10−3mm2/s, P < 0.05). Logistic regression analysis showed that lesion morphology, lesion margin, TIC curve type, Ktrans, and ADC values are significant factors associated with malignancy. ROC curve analysis showed that the area under the curve of the model for diagnosing malignant lesions was 0.854 (95% CI: 0.805–0.902, P < 0.05); the sensitivity and specificity were 75.20% and 85.90%, respectively. Conclusion: Breast MRI demonstrates good diagnostic performance in differentiating benign and malignant lesions as BI-RADS category 4 on conventional X-ray mammography and may provide complementary information for clinical decision-making.

       

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