Can Breast Magnetic Resonance Imaging Prevent Biopsy or Change the Management of BI-RADS® Category 4 Breast Lesions?

被引:1
|
作者
Turnaoglu, Hale [1 ,2 ]
Ozturk, Emine [1 ]
Yucesoy, Cuneyt [1 ]
Teber, Mehmet Akif [3 ]
Turan, Aynur [3 ]
Ozbalci, Aysu Basak [1 ]
Seker, Ebru Gaye [4 ]
Onal, Binnur [5 ]
Hekimoglu, Baki [1 ]
机构
[1] Diskapi Yildirim Beyazit Training & Res Hosp, Dept Radiol, Ankara, Turkey
[2] Baskent Univ, Sch Med, Dept Radiol, Ankara, Turkey
[3] Etlik Ihtisas Training & Res Hosp, Dept Radiol, Ankara, Turkey
[4] Diskapi Yildirim Beyazit Training & Res Hosp, Dept Gen Surg, Ankara, Turkey
[5] Diskapi Yildirim Beyazit Training & Res Hosp, Dept Pathol & Cytol, Ankara, Turkey
关键词
Breast; BI-RADS; 4; Magnetic resonance imaging; Mammography; Ultrasonography; CANCER; MAMMOGRAPHY; DIAGNOSIS; FEATURES; BENIGN; MASSES; MRI;
D O I
10.1007/s12262-017-1654-7
中图分类号
R61 [外科手术学];
学科分类号
摘要
The BI-RADS (R) category 4 includes suspicious breast lesions which requires biopsy. The aim of this study is to investigate the contribution of breast magnetic resonance imaging to the management of BI-RADS (R) category 4 breast lesions detected by mammography and/or ultrasonography. Thirty-four lesions classified as BI-RADS (R) category 4A, 4B, or 4C by conventional methods were evaluated with magnetic resonance imaging. All lesions were coded by using the American College of Radiology BI-RADS (R) lexicon. Each lesion was verified with the result of pathology. Lesions were evaluated as BI-RADS (R) category 1 in 1 patient (2.9%), category 3 (20.6%) in 7 patients, category 4 in 25 patients (73.6%), and category 5 in 1 patient (2.9%) with breast magnetic resonance imaging. Only the BI-RADS (R) 4A lesion categories were changed by breast magnetic resonance imaging, and these lesions were pathologically diagnosed as benign. The negative predictive value of breast MRI for BI-RADS (R) category 4A lesions was calculated as 100%. In all BI-RADS (R) category 4 lesions, pathologically 4 lesions found to be high risk and 3 lesions found to be malignant. The sensitivity, specificity, positive predictive, and negative predictive value of breast magnetic resonance imaging in BI-RADS (R) category 4 lesions were calculated as 100, 29.6, 26.9, and 100%, respectively. The area under the ROC curve was calculated 0.648. Breast magnetic resonance imaging is promising to be used as a problem-solving modality in BI-RADS (R) category 4A breast lesions.
引用
收藏
页码:505 / 512
页数:8
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