| 刘欣然,田兆荣,高娜,马嘉乐,王志军.动态增强MRI定量参数鉴别高、低级别乳腺癌[J].中国医学影像技术,2025,41(6):924~927 |
| 动态增强MRI定量参数鉴别高、低级别乳腺癌 |
| Dynamic contrast-enhanced MRI quantitative parameters for differentiating high- and low-grade breast cancer |
| 投稿时间：2024-10-28 修订日期：2025-06-12 |
| DOI：10.13929/j.issn.1003-3289.2025.06.016 |
| 中文关键词: 乳腺肿瘤 组织学 磁共振成像 |
| 英文关键词:breast neoplasms histology magnetic resonance imaging |
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| 摘要点击次数: 1023 |
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| 中文摘要: |
| 目的 观察基于笛卡尔采集的K空间共享三维容积快速动态成像(DISCO)技术动态增强MRI(DCE-MRI)定量参数鉴别高、低级别乳腺癌的价值。方法 回顾性分析80例经活检病理证实的单发乳腺癌,其中40例为低级别(L组)、40例为高级别(H组)乳腺癌;比较组间治疗前DISCO-DCE-MRI定量参数,包括血管外细胞外间隙容积分数(Ve)、速率常数(Kep)、对比增强比率(CER)、最大增强斜率(MaxSlope)及容积转移常数(Ktrans),分析其与组织学级别的相关性。针对组间差异有统计学意义的DISCO-DCE-MRI定量参数绘制受试者工作特征(ROC)曲线,计算曲线下面积(AUC),评估其鉴别高、低级别乳腺癌的效能。结果 L组Ve[0.91(0.59,0.99)]、CER(2.76±0.54)及MaxSlope[0.02(0.01,0.03)]均高于H组[0.52(0.34,0.73)、(2.31±0.74)、0.01(0.01,0.02),P均＜0.05],组间Kep及Ktrans差异均无统计学意义(P均＞0.05)。乳腺癌Ve、CER、MaxSlope均与组织学级别呈负相关(rs=-0.43、-0.39、-0.35,P均＜0.05),而Kep及Ktrans与组织学级别均无明显相关(P均＞0.05)。以Ve、CER及MaxSlope鉴别高、低级别乳腺癌的AUC分别为0.749、0.725及0.700。结论 DISCO-DCE-MRI定量参数中的Ve、CER及MaxSlope均可用于鉴别高、低级别乳腺癌。 |
| 英文摘要: |
| Objective To explore the value of dynamic contrast-enhanced (DCE)-MRI quantitative parameters based on differential sub-sampling with Cartesian ordering (DISCO) technology for differentiating high- and low-grade breast cancer. Methods A total of 80 patients with single breast cancer confirmed by biopsy pathology were retrospectively enrolled, including 40 cases of low-grade (L group) and 40 cases of high-grade breast cancer (H group). Then quantitative parameters obtained from DISCO-DCE-MRI before treatment were compared between groups, including extravascular extracellular volume fraction (Ve), rate constant (Kep), contrast enhancement ratio (CER), maximum slope (MaxSlope) and volume transfer constant (Ktrans), and their correlations with histological grade were analyzed. Receiver operating characteristic (ROC) curves of DISCO-DCE-MRI quantitative parameters being significantly different between groups were plotted, and the area under the curves (AUC) were calculated to evaluate their efficacy for differentiating high- and low-grade breast cancer. Results Ve (0.91[0.59, 0.99]), CER (2.76±0.54) and MaxSlope (0.02[0.01, 0.03]) in L group were all higher than those in H group (0.52[0.34, 0.73],[2.31±0.74], 0.01[0.01, 0.02], all P＜0.05), and no significant difference of Kep nor Ktrans was found between groups (both P＞0.05). Ve, CER and MaxSlope of breast cancer were all negatively correlated with histological grade (rs=－0.43, －0.39, －0.35, all P＜0.05), while Kep and Ktrans had no significant correlation with histological grade (both P＞0.05). The AUC of Ve, CER and MaxSlope for differentiating high- and low-grade breast cancer was 0.749, 0.725 and 0.700, respectively.Conclusion Among DISCO-DCE-MRI quantitative parameters, Ve, CER and MaxSlope could be used for differentiating high- and low-grade breast cancer. |
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