Comparative Study of Automated Breast 3-D Ultrasound and Handheld B-Mode Ultrasound for Differentiation of Benign and Malignant Breast Masses

Comparison of retraction phenomenon and BI-RADS-US descriptors in differentiating benign and malignant breast masses using an automated breast volume scanner

“…More importantly, the reconstructed coronal planes can provide an especially useful feature-retraction phenomenon-which cannot be detected by conventional US. Many studies have reported that retraction phenomenon had high diagnostic accuracy for breast malignancy [8,9,10]. Because of the similar usefulness of BI-RADS-US descriptors in diagnosing breast lesions, it is significant to know how retraction phenomenon performed compared with BI-RADS-US descriptors in the differential diagnoses of breast lesions.…”

“…Because of the similar usefulness of BI-RADS-US descriptors in diagnosing breast lesions, it is significant to know how retraction phenomenon performed compared with BI-RADS-US descriptors in the differential diagnoses of breast lesions. Although the literature concerning the clinical application of ABVS has been currently increasing, studies have mainly focused on thediagnostic value of ABVS [11,12,13], its reproducibility [14,15,16], itscomparison with conventional US or mammography [8,9,10,17], disease size measurement [18,19], and its application to other organs or tissues [20,21]. To our knowledge, no investigators have compared the diagnostic performance of retraction phenomenon with BI-RADS-US descriptors using an ABVS.…”

A novel application of the Automated Breast Volume Scanner (ABVS) in the diagnosis of soft tissue tumors

“…It was considered that the "hyperechoic rim sign" has been found in most fast-growing benign tumors, and is usually absent in the image of malignant tumors that invade into or become adhesive to the surrounding tissues [9]. Additionally, more frequently, a hypoechoic rim instead of a hyperechoic rim is demonstrated between the tumor and surrounding tissues on the coronal plane of malignant tumors [10], mainly due to the abundant tumor blood supply that is presented as a hypoechoic signal.…”

Diagnosis of Breast Tumors with Sonographic Texture Analysis Using Run-length Matrix

“…Some studies have employed three-dimensional (3D) breast ultrasound image to distinguish between benign and malignant breast masses (9,25,26). In this regard, Chen et al (25) has extracted shape, margin, lesion boundary, echogenicity, posterior acoustic features, and surrounding tissue and was able to classify breast tumors with a sensitivity, specificity, accuracy, PPV, and NPV of 89.6%, 92.8%, 95.9%, 84.5%, and 95.3%, respectively.…”

“…In this regard, Chen et al (25) has extracted shape, margin, lesion boundary, echogenicity, posterior acoustic features, and surrounding tissue and was able to classify breast tumors with a sensitivity, specificity, accuracy, PPV, and NPV of 89.6%, 92.8%, 95.9%, 84.5%, and 95.3%, respectively. Tan el al.…”