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评估定量动态对比增强 MRI 鉴别乳腺叶状肿瘤不同组织学分级。

Assessment of quantitative dynamic contrast-enhanced MRI in distinguishing different histologic grades of breast phyllode tumor.

机构信息

Department of Nuclear Medicine, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, China.

Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, China.

出版信息

Eur Radiol. 2022 Mar;32(3):1601-1610. doi: 10.1007/s00330-021-08232-x. Epub 2021 Sep 7.

Abstract

OBJECTIVES

To investigate whether quantitative DCE-MRI (qDCE-MRI) could help distinguish breast phyllodes tumor (PT) grades.

MATERIALS AND METHODS

This retrospective study included 67 breast PTs (26 benign lesions, 25 borderline lesions, and 16 malignant lesions) from April 2016 to July 2020. MRI was performed with a 1.5-T MR system. Perfusion parameters (K, k, v, iAUC60) derived from qDCE-MRI, tumor size, and the mean ADC value were correlated with histologic grades using Spearman's rank correlation coefficient. K, k, v, and iAUC60 of three histologic grades were also calculated and compared.

RESULTS

The Spearman correlation coefficient with histologic grade of the tumor size was 0.578 (p < 0.001); the ADC value was not correlated with histologic grades of breast PT (p = 0.059). The K, k, v, and iAUC60 of benign breast PTs were significantly lower than those of borderline breast PTs (p < 0.001) and lower than those of malignant breast PTs (p < 0.001). In comparison, the K, v, and iAUC60 of borderline breast PTs were significantly lower than those of malignant breast PTs (p < 0.001, p < 0.001, p = 0.007, respectively). For ROC analysis, AUCs of K, v, and iAUC60 were higher than tumor size and ADC value for differentiating three PT grades.

CONCLUSION

Quantitative and semi-quantitative perfusion parameters (K, v, and iAUC60, especially K) derived from qDCE-MRI showed better diagnosis efficiency than tumor size and ADC for grading breast PTs. Therefore, qDCE-MRI may be helpful for preoperative differentiating breast PT grades.

KEY POINTS

• Quantitative dynamic contrast-enhanced MRI can be used as a complementary noninvasive method to improve the differential diagnosis of breast PT. • K, v, and iAUC60 derived from qDCE-MRI showed better diagnosis efficiency than tumor size and ADC for grading breast PTs.

摘要

目的

探讨定量动态对比增强磁共振成像(qDCE-MRI)能否有助于鉴别乳腺叶状肿瘤(PT)的分级。

材料与方法

本回顾性研究纳入了 2016 年 4 月至 2020 年 7 月期间的 67 例乳腺叶状肿瘤(26 例良性病变、25 例交界性病变和 16 例恶性病变)。MRI 检查采用 1.5-T MR 系统。采用 Spearman 秩相关系数分析 qDCE-MRI 衍生的灌注参数(K、k、v、iAUC60)、肿瘤大小与组织学分级的相关性。计算并比较三种组织学分级的 K、k、v 和 iAUC60。

结果

肿瘤大小与组织学分级的 Spearman 相关系数为 0.578(p<0.001);ADC 值与乳腺叶状肿瘤的组织学分级无相关性(p=0.059)。良性乳腺叶状肿瘤的 K、k、v 和 iAUC60 明显低于交界性乳腺叶状肿瘤(p<0.001),也明显低于恶性乳腺叶状肿瘤(p<0.001)。相比之下,交界性乳腺叶状肿瘤的 K、v 和 iAUC60 明显低于恶性乳腺叶状肿瘤(p<0.001、p<0.001、p=0.007)。对于 ROC 分析,K、v 和 iAUC60 的 AUC 高于肿瘤大小和 ADC 值,用于鉴别三种 PT 分级。

结论

qDCE-MRI 衍生的定量和半定量灌注参数(K、v 和 iAUC60,尤其是 K)在鉴别乳腺叶状肿瘤分级方面比肿瘤大小和 ADC 值具有更好的诊断效能。因此,qDCE-MRI 可能有助于术前鉴别乳腺叶状肿瘤的分级。

关键点

  • 定量动态对比增强磁共振成像可作为一种补充性无创方法,提高乳腺叶状肿瘤的鉴别诊断能力。

  • qDCE-MRI 衍生的 K、v 和 iAUC60 比肿瘤大小和 ADC 值在乳腺叶状肿瘤分级方面具有更好的诊断效能。

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