Differentiation of benign and malignant breast lesions: A comparison between automatically generated breast volume scans and handheld ultrasound examinations |
| |
Authors: | Wang Hong-Yan Jiang Yu-Xin Zhu Qing-Li Zhang Jing Dai Qing Liu He Lai Xing-Jian Sun Qiang |
| |
Institution: | Department of Diagnostic Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China. |
| |
Abstract: | ObjectiveTo assess the diagnostic value of automated breast volume scanning (ABVS) or conventional handheld ultrasonography (HHUS) for the differentiation of benign and malignant breast lesions.Materials and methodsThe study prospectively evaluated 239 lesions in 213 women who were scheduled for open biopsy. The patients underwent ABVS and conventional HHUS. The sensitivity, specificity, accuracy, false positive rate, false negative rate, and positive and negative predictive values for HHUS and ABVS images were calculated using histopathological examination as the gold standard. Additionally, diagnostic accuracy was further evaluated according to the size of the masses.ResultsAmong the 239 breast lesions studied, pathology revealed 85 (35.6%) malignant lesions and 154 (64.4%) benign lesions. ABVS was similar to HHUS in terms of sensitivity (95.3% vs. 90.6%), specificity (80.5% vs. 82.5%), accuracy (85.8% vs. 85.3%), positive predictive value (73.0% vs. 74.0%), and negative predictive value (93.3% vs. 94.1%). The area under the receiver operating characteristic (ROC) curve, which is used to estimate the accuracy of the methods, demonstrated only minor differences between HHUS and ABVS (0.928 and 0.948, respectively).ConclusionsThe diagnostic accuracy of HHUS and ABVS in differentiating benign from malignant breast lesions is almost identical. However, ABVS can offer new diagnostic information. ABVS may help to distinguish between real lesions and inhomogeneous areas, find small lesions, and demonstrate the presence of intraductal lesions. This technique is feasible for clinical applications and is a promising new technique in breast imaging. |
| |
Keywords: | Automated breast volume scanner Breast sonography 3D imaging Breast lesions |
本文献已被 ScienceDirect PubMed 等数据库收录! |
|