Effect of a Novel Segment Algorithm on Radiologist�s Diagnosis of Masses Using Breast Ultrasound Imaging

To investigate the effect of using a novel segment algorithm on radiologists’ sensitivity and specificity for discriminating malignant masses from benign masses using breast ultrasound (BUS) imaging. 510 conventional BUS images acquired from 109 masses were processed by the novel segment algorithm. Five radiologists were invited to analyze the original and computerized images independently according to the Breast Imaging Reporting and Data System for Ultrasound (BI-RADS-US). The diagnostic sensitivity and specificity were calculated for each radiologist by means of a binary outcome using ROC. As a result, the proposed segment algorithm can highly improve the diagnosis performance of the radiologists by meliorating the margin of the mass and the contrast of the image.