Automated Breast Volume Sonography - New Technology in Breast Cancer Diagnosis

Aim. To study diagnostic capabilities of the new method Automated Breast Volume Sonography (ABVS) in the reference to mammography. Materials and methods. ABVS were performed in 152 patients on ACUSON S2000 ABVS with a special transducer for automated scanning 14L5BV 14 MGz. All lesions were classified according to BIRADS classification, topography, presence of the retraction fenomenon, microcalcification by 2 experts independently. Inter-observer variability were classified under kappa value. All results were verified by cytological and pathomorphological examinations of the specimens. Diagnostic confidence of the ABVS were calculated. Results. Interrater variability values were good for BIRADS classification (k = 0.78), poor - for benign lesions (k = 0.53), and excellent (k = 0.96) for malignant. Retraction phenomenon that is seen by mammography in breast cancer also was specifically showed by ABVS, interobserver variability was high (k = 0.85). This symptom was seen in 88.2% in breast cancer. Sensitivity and specificity of the ABVS in breast cancer diagnosis according to our results were 87% and 72%. High sensitivity and specificity was proved in the case with high density breasts (types C and D) - 100% and 96% respectively. Resume. ABVS was highly effective in women with higher breast density. ABVS data can be compared with mammography data therefore could be recommended as an adjunct to mammography in the cases of suspicious dense breast lesions.

автоматическая объемная сонография, сонотомография, маммография, рак молочной железы, automated breast volume sonography, sonotomography, mammography, breast cancer

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