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文献速递乳腺MR

多参数乳腺MRI鉴别非肿块强化病变的前瞻性诊断准确性研究

Multiparametric MRI for non-mass enhancement breast lesions: a prospective diagnostic accuracy study.
PubMed 文献 · Eur Radiol · 2026-05-21

该前瞻性多中心研究纳入351例BI-RADS 3-5非肿块强化（NME）乳腺病变患者，评估动态增强联合DWI的多参数MRI诊断效能。共识判读获得98.4%敏感度、86.4%特异度、92.9%准确率（AUC=0.94），阴性预测值达97.9%，各BI-RADS分类阴性预测值均高（96.8-98.5%）。

要点

  • 多参数MRI对NME病变敏感度98.4%、特异度86.4%，阴性预测值97.9%，有助减少不必要的活检。
  • 五个独立恶性预测因子：III型流出曲线、节段性分布、II型平台曲线、ADC≤1.3×10⁻³ mm²/s、区域分布。
  • 读者间一致性几乎完美（κ=0.847），共识判读与个体判读性能接近。

核心结论

  • 多参数乳腺MRI（形态学+动力学+DWI）对NME病变诊断准确性高，敏感度98.4%、特异度86.4%、AUC=0.94，高阴性预测值支持减少不必要活检。

研究设计与样本

  • 前瞻性诊断准确性研究，7家三级中心，20个月招募，共351例女性患者（平均44.2±11.1岁；恶性189例，良性162例）。
  • 纳入标准：年龄≥18岁、BI-RADS 3-5的NME病变女性；参考标准为组织病理学。
  • 9名经验丰富放射科医生在盲法下独立判读，采用集中成像；统计分析包括ROC曲线、逻辑回归和读者间一致性评估。

关键影像表现/征象

  • NME病变的恶性独立预测因子包括III型流出曲线（OR=26.84）、节段性分布（OR=9.12）、II型平台曲线（OR=6.58）、ADC≤1.3×10⁻³ mm²/s（OR=6.24）和区域分布（OR=5.34）。

诊断标准与关键数值

  • 共识判读多参数MRI诊断恶性NME的敏感度98.4%（95%CI 95.6-99.7）、特异度86.4%（95%CI 80.2-91.3）、阳性预测值89.4%（95%CI 84.5-92.9）、阴性预测值97.9%（95%CI 94.0-99.6）、准确率92.9%（95%CI 89.6-95.3）、AUC=0.94（95%CI 0.91-0.96）。
  • 个体判读平均敏感度97.1%、特异度84.8%；读者间一致性κ=0.847（95%CI 0.801-0.893）。
  • 各BI-RADS分类阴性预测值维持在96.8-98.5%。
  • ADC阈值≤1.3×10⁻³ mm²/s为恶性独立预测因子（OR=6.24；p=0.001）。

临床应用与阅片要点

  • 对BI-RADS 3-5的NME病变，应综合形态学分布（节段性/区域分布）、动力学曲线类型（III型流出、II型平台）和ADC值（≤1.3×10⁻³ mm²/s）进行恶性风险评估。
  • 多参数MRI高阴性预测值（97.9%）提示阴性者可考虑避免不必要的活检，但需结合临床。

以上解读依据论文摘要（全文未开放获取或许可不允许翻译转载）。

英文原文（摘要）· 点击展开

OBJECTIVES: To evaluate the diagnostic accuracy of multiparametric breast MRI combining dynamic contrast-enhanced imaging with diffusion-weighted imaging (DWI) for differentiating benign from malignant non-mass enhancement (NME) breast lesions.

MATERIALS AND METHODS: This prospective diagnostic accuracy study recruited patients from seven tertiary centers with centralized imaging over a 20-month period. The index test was multiparametric MRI, including morphological assessment, kinetic curve analysis, and DWI with apparent diffusion coefficient (ADC) measurements. The reference standard was histopathological confirmation. Nine experienced radiologists from participating centers independently evaluated examinations while blinded to clinical history and outcomes.

INCLUSION CRITERIA: female patients aged ≥ 18 years with BI-RADS 3-5 NME lesions. Statistical analyses included ROC curve analysis, logistic regression, and inter-reader agreement (IRA) assessment.

RESULTS: A total of 351 female patients (mean age, 44.2 ± 11.1 years; 189 malignant, 162 benign lesions) were enrolled. Consensus-based multiparametric MRI achieved 98.4% (95% CI: 95.6-99.7) sensitivity, 86.4% (95% CI: 80.2-91.3) specificity, 89.4% (95% CI: 84.5-92.9) positive predictive value, 97.9% (95% CI: 94.0-99.6) negative predictive value (NPV), and 92.9% (95% CI: 89.6-95.3) accuracy (AUC = 0.94; 95% CI: 0.91-0.96). Individual reader performance averaged 97.1% sensitivity and 84.8% specificity. Five independent predictors were identified: Type III washout curves (OR = 26.84; p = 0.001), segmental distribution (OR = 9.12; p = 0.001), Type II plateau curves (OR = 6.58; p = 0.008), ADC values ≤ 1.3 × 10⁻³ mm²/s (OR = 6.24; p = 0.001), and regional distribution (OR = 5.34; p = 0.032). IRA was almost perfect (κ = 0.847; 95% CI: 0.801-0.893). High NPV was maintained across all BI-RADS categories (96.8-98.5%).

CONCLUSION: Multiparametric breast MRI demonstrates superior diagnostic accuracy for NME lesions with high NPV, supporting potential reduction of unnecessary biopsies while maintaining excellent sensitivity.

KEY POINTS: Question Can multiparametric MRI combining dynamic contrast-enhanced imaging with diffusion-weighted imaging improve diagnostic accuracy for non-mass enhancement breast lesions compared to individual imaging parameters? Findings Multiparametric MRI achieved 92.9% accuracy, 98.4% sensitivity, and 86.4% specificity with five independent malignancy predictors, significantly outperforming individual parameters, with almost perfect inter-reader agreement. Clinical relevance Multiparametric breast MRI demonstrates superior diagnostic performance for non-mass enhancement lesions, potentially reducing unnecessary biopsies while maintaining excellent sensitivity for malignancy detection.

来源：Eur Radiol，查看原文。版权归原作者所有。

引用

  1. Soliman BK, Refaat R, Khater HM, et al. Multiparametric MRI for non-mass enhancement breast lesions: a prospective diagnostic accuracy study. Eur Radiol. 2026. PMID: 42166016. doi:10.1007/s00330-026-12641-1
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供执业医师工作参考，不替代临床判断；数值与分级以指南原文为准。