Your browser doesn't support javascript.
loading
Comparative study between automated breast volume scanner and conventional ultrasound in differentiation of benign and malignant breast imaging reporting and data system 4 breast lesions / 中华医学超声杂志(电子版)
Chinese Journal of Medical Ultrasound (Electronic Edition) ; (12): 931-935, 2016.
Artículo en Chino | WPRIM | ID: wpr-641122
ABSTRACT
Objective To evaluate the value of automated breast volume scanner (ABVS) and conventional ultrasound in differentiation of benign and malignant breast imaging reporting and data system (BI-RADS) 4 breast lesions. Methods Totally 239 breast lesions from 217 patients, with diagnosing of BI-RADS 4 by conventional ultrasound and automatically breast volume imaging, were analyzed retrospectively, using postoperative pathology as golden standard. The sensitivity, specificity, accuracy and area under the curve of ABVS and conventional ultrasound were calculated separately. Results There were 154 benign breast lesions, 83 malignant lesions and 2 borderline lesions. The statistical analysis results of ABVS and conventional ultrasound were 96.10% and 91.80% in sensitivity, 84.30% and 80.20% in specificity,89.30% and 84.10% in accuracy, and 0.952 and 0.833 in area under the curve. Therefore, ABVS was superior to the conventional ultrasound. Conclusion Compared with conventional ultrasound, ABVS could improve the diagnostic efficacy for BI-RADS 4 breast lesions in the aspects of sensitivity, specificity, accuracy, which was useful in detection of small and atypical breast cancer and could be used as a noninvasive and reliable complement for conventional ultrasound.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Estudio pronóstico Idioma: Chino Revista: Chinese Journal of Medical Ultrasound (Electronic Edition) Año: 2016 Tipo del documento: Artículo

Similares

MEDLINE

...
LILACS

LIS

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Estudio pronóstico Idioma: Chino Revista: Chinese Journal of Medical Ultrasound (Electronic Edition) Año: 2016 Tipo del documento: Artículo