7 research outputs found

    Simple rules for ultrasonographic subcategorization of BI-RADS (R)-US 4 breast masses

    No full text
    Objectives: To evaluate an objective method for ultrasonographic (US) subcategorization of BI-RADS (R)-US 4 breast masses based on clear and simple rules in order for woman to benefit from a more complete and homogeneous breast mass analysis. Methods: In this cross-sectional study, we selected 330 women, with 339 US breast masses, classified as BI-RADSS (R)-US 4. Three physicians experienced in breast imaging independently reviewed all US images, assessing mass shape, margins, orientation, echo texture and vascularity. These experts further subdivided the masses into subcategories 4a, 4b and 4c, according to simple US rules. Inter-observer agreement was calculated for US features categories and for final subcategory assessment. We also estimated the positive predictive value (PPV) for BI-RADS (R)-US subcategories 4a, 4b and 4c assigned by each of the three observers. Results: Pathological examination of all masses confirmed 144 (42%) malignant and 195 (58%) benign tumors. Moderate agreement was obtained for mass shape, margins, vascularity and for final BI-RADS (R)-US 4 subcategory. Substantial agreement was obtained for the description of mass orientation and echo texture. The PPV for subcategories 4a, 4b and 4c were, 17%, 45% and 85%, respectively, for the first observer and 20%, 38% and 79% and 17%, 40% and 85% for the other two observers. Conclusion: Standardization of a US subcategorization of BI-RADS (R)-US 4 breast masses seems to be feasible, with substantial inter-observer agreement and progressive increase in the PPV in the subcategories 4a, 4b and 4c, provided that clear and simple classification rules are defined. (C) 2013 Elsevier Ireland Ltd. All rights reserved.8281231123

    Complex Breast Masses Assessment of Malignant Potential Based on Cyst Diameter

    No full text
    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 3.31458158

    Ultrasound criteria and CA 125 as predictive variables of ovarian cancer in women with adnexal tumors

    No full text
    Objectives To evaluate the capacity to predict malignancy in women with adnexal tumors using CA 125 measurement and ultrasound criteria. Methods This was a cross-sectional study including 103 women with a total of 110 adnexal tumors. CA 125 level was measured in a sample of peripheral blood. Lesions were classified by ultrasound, using standardized predetermined criteria, as benign (B) or malignant (M). Those that could not be classified by these criteria were assessed subjectively. Histopathologic examination of surgical specimens was used as the gold standard. Results Of 110 tumors, 79 (71.8%) were benign and 31 (28.2%) were malignant on histopathology. Ultrasound criteria could be applied to 91 (82.7%) tumors, resulting in a sensitivity of 90%, specificity of 87%, positive predictive value (PPV) of 69% and negative predictive value (NPV) of 97%. In tumors not classifiable according to ultrasound criteria, subjective sonographic assessment gave a sensitivity of 67%, specificity of 80%, PPV of 75% and NPV of 73%. At a cut-off point of 37.4 U/mL, CA 125 had a sensitivity of 69%, a specificity of 87.8%, a PPV of 69% and a NPV of 88% for detection of malignancy. When CA 125 was associated with age and ultrasound criteria in a logistic regression model, the sensitivity and specificity increased in the subset of sonographically malignant tumors. Conclusion The majority of tumors were correctly classified using ultrasound criteria. CA 125 alone performed worse than did ultrasound in discriminating malignant from benign adnexal tumors. CA 125 measurement contributed to the diagnosis of malignancy, improving overall specificity, only in sonographically malignant tumors. Copyright (C) 2012 ISUOG. Published by John Wiley & Sons, Ltd.40336036
    corecore