T1 Mapping联合扩散加权成像构建多模态预测模型在乳腺肿块良恶性鉴别中的应用研究
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福建省龙岩市第一医院

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福建省自然科学基金计划项目(2023J011880)。


Application of a multimodal predictive model based on T1 Mapping combined with diffusion-weighted imaging for differentiating benign and malignant breast masses
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The First Hospital of Longyan City

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    摘要:

    目的 评估T1 Mapping 联合扩散加权成像(diffusion-weighted imaging,DWI)在乳腺肿块良恶性鉴别中的诊断价值,并分析其与Ki-67 表达的相关性。方法 回顾性纳入96 例经病理证实的乳腺肿块患者,比较T1 值、T1+值、△T1%、T2值及表观弥散系数(apparent diffusion coefficient,ADC)的差异,采用Logistic回归构建联合模型并进受试者操作特征(receiver operating characteristic,ROC)曲线分析,同时评估MRI参数与Ki-67 的Spearman 相关性。结果 恶性肿块T1 值、T1+值及△T1%均显著高于良性肿块,ADC显著低于良性(均P<0.05)。多因素分析显示△T1%与ADC为独立预测因子。联合模型的曲线下面积(area under the curve,AUC)为0.941,优于各单项MRI定量指标。Ki-67高表达组△T1%升高、ADC降低(均P<0.05),且△T1%与Ki-67呈正相关(r=0.462),ADC与Ki-67 呈负相关(r=?0.518)。结论 T1 Mapping 联合DWI可显著提高乳腺肿块良恶性的鉴别效能,△T1%与ADC具有重要的诊断价值,并可反映肿瘤的增殖活性。

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    Objective To evaluate the diagnostic value of T1 Mapping combined with diffusion-weighted imaging (DWI) in differentiating benign and malignant breast masses, and to analyze its correlation with Ki-67 expression. Methods A total of 96 patients with pathologically confirmed breast masses were retrospectively enrolled. The differences in T1 value, post-contrast T1 (T1+) value, percentage change of T1 (△T1%), T2 value and apparent diffusion coefficient (ADC) were compared between benign and malignant masses. Logistic regression analysis was used to construct a combined diagnostic model, followed by receiver operating characteristic (ROC) curve analysis. Meanwhile, the Spearman correlation between MRI quantitative parameters and Ki-67 expression was evaluated. Results The T1 value, T1+ value and △T1% of malignant masses were significantly higher than those of benign masses, while the ADC was significantly lower (all P<0.05). Multivariate analysis showed that △T1% and ADC were independent predictors for malignant breast masses. The area under the curve (AUC) of the combined model was 0.941, which was superior to all individual MRI quantitative parameters. In the high Ki-67 expression group, △T1% was increased and ADC was decreased (both P< 0.05). Moreover, △T1% was positively correlated with Ki-67 (r=0.462), and ADC was negatively correlated with Ki-67 (r=?0.518). Conclusion T1 Mapping combined with DWI can significantly improve the diagnostic efficiency in differentiating benign and malignant breast masses. △T1% and ADC have important diagnostic value and can reflect the proliferative activity of breast tumors.

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吴小敏,赖燕琴,廖雪燕,罗珊,林丹丹. T1 Mapping联合扩散加权成像构建多模态预测模型在乳腺肿块良恶性鉴别中的应用研究[J].生物医学工程学进展,2026,(1):63-68

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  • 收稿日期:2026-01-26
  • 最后修改日期:2026-02-10
  • 录用日期:2026-02-13
  • 在线发布日期: 2026-04-14
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