Nonmass Lesions in Magnetic Resonance Imaging of the Breast: Additional T2-Weighted Images Improve Diagnostic Accuracy

被引:36
|
作者
Baltzer, Pascal A. T. [1 ]
Dietzel, Matthias [1 ]
Kaiser, Werner A. [1 ]
机构
[1] Univ Jena, Inst Diagnost & Intervent Radiol, D-07740 Jena, Germany
关键词
breast MRI; MR mammography; neoplasm; sensitivity and specificity; breast cancer; BI-RADS; descriptors; CARCINOMA IN-SITU; MR-MAMMOGRAPHY; INTERPRETATION MODEL; ENHANCEMENT; CANCER; MASS;
D O I
10.1097/RCT.0b013e31821065c3
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objective: In magnetic resonance imaging (MRI) of the breast, contrast enhancements present as mass or nonmass (NM) lesions. This study aimed to test the usefulness of currently accepted T1-weighted Breast Imaging Reporting and Data System predictors and to determine the incremental value of new T2-weighted predictors for differentiation of benign from malignant NM lesions. Methods: Consecutive patients undergoing surgery after MRI (1.5-T contrast-enhanced T1- and T2-weighted images) were investigated. Lesions were rated by 2 observers in consensus. Breast Imaging Reporting and Data System criteria for NM included spatial distribution, internal enhancement, and dynamic enhancement pattern. Additional criteria on T2-weighted images were signal intensity, presence of intraductal fluid, or cysts at the enhancements location. Independent differentiation criteria (benign vs malignant) were identified by logistic regression followed by receiver operating characteristics analysis. Results: Of 316 patients, 65 demonstrated NM. The NM lesions were split almost equally into malignant (34) and benign (31) histology. Breast Imaging Reporting and Data System predictors did not differentiate benign from malignant lesions, whereas signal intensity and the presence of cysts on contrast-enhanced T2-weighted images did, with a sensitivity of 91.2% and a specificity of 64.5%. Conclusions: Differentiation of NM can be improved using additional T2-weighted images.
引用
收藏
页码:361 / 366
页数:6
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