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Revista Brasileira de Ginecologia e Obstetrícia. 2016;38(4):170-176
The objective of this study is to assess whether the largest cyst diameter is useful for BI-RADS ultrasonography classification of predominantly solid breast masses with an oval shape, circumscribed margins, and largest axis parallel to the skin, which, except for the cystic component, would be likely classified as benign.
This study received approval from the local institutional review board. From March 2009 to August 2014, we prospectively biopsied 170 breast masses from 164 women. We grouped the largest cyst and mass diameters according to histopathological diagnoses. We used Student's t-test, linear regression, and the area under the receiver operating characteristic curve (AUC) for statistical assessment.
Histopathological examination revealed 143 (84%) benign and 27 (16%) malignant masses. The mean largest mass diameter was larger among malignant (mean standard deviation, 34.1 16.6 mm) than benign masses (24.7 16.7 mm) (P < 0.008). The mean largest cyst diameter was also larger among malignant (9.9 7.1 mm) than benign masses (4.6 3.6 mm) (P < 0.001). Agreement between measurements of the largest mass and cyst diameters was low (R2 = 0.26). AUC for the largest cyst diameter (0.78) was similar to the AUC for the largest mass diameter (0.69) ( p = 0.2). A largest cyst diameter < 3, 3 to < 11, and 11 mm had a positive predictive value of 0, 15, and 52%, respectively.
A largest cystic component < 3 mm identified within breast masses that show favorable characteristics may be considered clinically inconsequential in ultrasonography characterization. Conversely, masses with a largest cystic component 3 mm should be classified as BI-RADS-US category 4.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2016;38(4):170-176
The objective of this study is to assess whether the largest cyst diameter is useful for BI-RADS ultrasonography classification of predominantly solid breast masses with an oval shape, circumscribed margins, and largest axis parallel to the skin, which, except for the cystic component, would be likely classified as benign.
This study received approval from the local institutional review board. From March 2009 to August 2014, we prospectively biopsied 170 breast masses from 164 women. We grouped the largest cyst and mass diameters according to histopathological diagnoses. We used Student's t-test, linear regression, and the area under the receiver operating characteristic curve (AUC) for statistical assessment.
Histopathological examination revealed 143 (84%) benign and 27 (16%) malignant masses. The mean largest mass diameter was larger among malignant (mean standard deviation, 34.1 16.6 mm) than benign masses (24.7 16.7 mm) (P < 0.008). The mean largest cyst diameter was also larger among malignant (9.9 7.1 mm) than benign masses (4.6 3.6 mm) (P < 0.001). Agreement between measurements of the largest mass and cyst diameters was low (R2 = 0.26). AUC for the largest cyst diameter (0.78) was similar to the AUC for the largest mass diameter (0.69) ( p = 0.2). A largest cyst diameter < 3, 3 to < 11, and 11 mm had a positive predictive value of 0, 15, and 52%, respectively.
A largest cystic component < 3 mm identified within breast masses that show favorable characteristics may be considered clinically inconsequential in ultrasonography characterization. Conversely, masses with a largest cystic component 3 mm should be classified as BI-RADS-US category 4.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2005;27(9):534-540
DOI 10.1590/S0100-72032005000900006
PURPOSE: to evaluate the role of morphological (12) and Doppler velocimetry (17) ultrasonographic features, in the detection of lymph node metastases in breast cancer patients. METHODS: 179 women (181 axillary cavities) were included in the study from January to December 2004. The ultrasonographic examinations were performed with a real-time linear probe (Toshiba-Power Vision-6000 (model SSA-370A)). The morphological parameters were studied with a frequency of 7.5-12 MHz. A frequency of 5 MHz was used for the Doppler velocimetry parameters. Subsequently, the women were submitted to level I, II and III axillary dissection (158), or to the sentinel lymph node technique (23). Sensitivity, specificity, and positive and negative predictive values were calculated for each parameter. The decision tree test was used for parameter association. The cutoff points were established by the ROC curve. RESULTS: at least one lymph node was detected in 173 (96%) of the women by the ultrasonographic examinations. Histological examination detected lymph node metastases in 87 women (48%). The best sensitivity among the morphological paramenters was found with the volume (62%), the antero-posterior diameter (62%) and the fatty hilum placement (56%). Though the specificity of the extracapsular invasion (100%), border regularity (92%) and cortex echogenicity (99%) were high, the sensitivity of these features was too low. None of the Doppler velocimetry parameters reached 50% sensitivity. The decision tree test selected the ultrasonographic parametners: fatty hilum placement, border regularity and cortex echogenicity, as the best parameter association. CONCLUSION: the detection of axillary cavity lymph node stage by a noninvasive method still remains an unfulfilled goal in the treatment of patients with breast cancer.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2005;27(9):534-540
DOI 10.1590/S0100-72032005000900006
PURPOSE: to evaluate the role of morphological (12) and Doppler velocimetry (17) ultrasonographic features, in the detection of lymph node metastases in breast cancer patients. METHODS: 179 women (181 axillary cavities) were included in the study from January to December 2004. The ultrasonographic examinations were performed with a real-time linear probe (Toshiba-Power Vision-6000 (model SSA-370A)). The morphological parameters were studied with a frequency of 7.5-12 MHz. A frequency of 5 MHz was used for the Doppler velocimetry parameters. Subsequently, the women were submitted to level I, II and III axillary dissection (158), or to the sentinel lymph node technique (23). Sensitivity, specificity, and positive and negative predictive values were calculated for each parameter. The decision tree test was used for parameter association. The cutoff points were established by the ROC curve. RESULTS: at least one lymph node was detected in 173 (96%) of the women by the ultrasonographic examinations. Histological examination detected lymph node metastases in 87 women (48%). The best sensitivity among the morphological paramenters was found with the volume (62%), the antero-posterior diameter (62%) and the fatty hilum placement (56%). Though the specificity of the extracapsular invasion (100%), border regularity (92%) and cortex echogenicity (99%) were high, the sensitivity of these features was too low. None of the Doppler velocimetry parameters reached 50% sensitivity. The decision tree test selected the ultrasonographic parametners: fatty hilum placement, border regularity and cortex echogenicity, as the best parameter association. CONCLUSION: the detection of axillary cavity lymph node stage by a noninvasive method still remains an unfulfilled goal in the treatment of patients with breast cancer.
