Complex Breast Masses

Objectives The purpose of this study was to assess whether cyst diameter might contribute to the prediction of malignancy in complex breast masses. Methods In this cross‐sectional study, we identified 48 breast masses that had sonographic features suggestive of benign breast lesions (oval shape, cir...

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Published in:Journal of ultrasound in medicine Vol. 31; no. 4; pp. 581 - 587
Main Authors: Jales, Rodrigo Menezes, Sarian, Luís Otavio, Peralta, Cleisson Fábio Andrioli, Torresan, Renato, Marussi, Emílio Francisco, Alvares, Beatriz Regina, Derchain, Sophie
Format: Journal Article
Language:English
Published: American Institute of Ultrasound in Medicine 01-04-2012
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Abstract Objectives The purpose of this study was to assess whether cyst diameter might contribute to the prediction of malignancy in complex breast masses. Methods In this cross‐sectional study, we identified 48 breast masses that had sonographic features suggestive of benign breast lesions (oval shape, circumscribed margins, parallel axis, and abrupt limits). However, these masses were classified as Breast Imaging Reporting and Data System (BI‐RADS) category 4 because of the presence of at least 1 cyst (complex echogenicity). All breast masses were biopsied (25 core needle and 23 core needle and excision). Subsequent histologic analysis was performed, and 12 malignancies (25%) were identified. Mammographic features were reviewed. Different sonographic measurements (largest diameters of the mass and cyst and vascular pattern) were assessed for the detection of malignancy. Results Among the sonographic features, the vascular pattern, ie, the detection of blood flow (present in the lesion [P >.99] or present immediately adjacent to the lesion [P = .46]), was not associated with malignancy, whereas the largest mass and cyst dimensions had significantly positive correlations (P = .02; P < .001, respectively) with tumor malignancy. In receiver operating characteristic curve analysis, the point with the highest sum of sensitivity and specificity corresponded to a maximum cyst diameter of 8 mm (sensitivity, 67%; specificity, 86%). The positive and negative predictive values at that cutoff point were 61% and 86%, respectively. The area under the curve was 0.772. In this study, all masses with cysts smaller than 3 mm in diameter (7 cases) were benign, and all masses with cysts larger than 13 mm in diameter (4 cases) were malignant. Conclusions Cyst diameter is a good predictor of malignancy in complex breast masses, which, except for the presence of internal cysts, would be otherwise classified as BI‐RADS category 3.
AbstractList Objectives The purpose of this study was to assess whether cyst diameter might contribute to the prediction of malignancy in complex breast masses. Methods In this cross‐sectional study, we identified 48 breast masses that had sonographic features suggestive of benign breast lesions (oval shape, circumscribed margins, parallel axis, and abrupt limits). However, these masses were classified as Breast Imaging Reporting and Data System (BI‐RADS) category 4 because of the presence of at least 1 cyst (complex echogenicity). All breast masses were biopsied (25 core needle and 23 core needle and excision). Subsequent histologic analysis was performed, and 12 malignancies (25%) were identified. Mammographic features were reviewed. Different sonographic measurements (largest diameters of the mass and cyst and vascular pattern) were assessed for the detection of malignancy. Results Among the sonographic features, the vascular pattern, ie, the detection of blood flow (present in the lesion [P >.99] or present immediately adjacent to the lesion [P = .46]), was not associated with malignancy, whereas the largest mass and cyst dimensions had significantly positive correlations (P = .02; P < .001, respectively) with tumor malignancy. In receiver operating characteristic curve analysis, the point with the highest sum of sensitivity and specificity corresponded to a maximum cyst diameter of 8 mm (sensitivity, 67%; specificity, 86%). The positive and negative predictive values at that cutoff point were 61% and 86%, respectively. The area under the curve was 0.772. In this study, all masses with cysts smaller than 3 mm in diameter (7 cases) were benign, and all masses with cysts larger than 13 mm in diameter (4 cases) were malignant. Conclusions Cyst diameter is a good predictor of malignancy in complex breast masses, which, except for the presence of internal cysts, would be otherwise classified as BI‐RADS category 3.
Author Alvares, Beatriz Regina
Derchain, Sophie
Marussi, Emílio Francisco
Jales, Rodrigo Menezes
Sarian, Luís Otavio
Torresan, Renato
Peralta, Cleisson Fábio Andrioli
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Snippet Objectives The purpose of this study was to assess whether cyst diameter might contribute to the prediction of malignancy in complex breast masses. Methods In...
SourceID wiley
SourceType Publisher
StartPage 581
SubjectTerms breast cancer
Breast Imaging Reporting and Data System
breast sonography
circumscribed masses
complex masses
Title Complex Breast Masses
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