In Brief Objectives The use of breast magnetic resonance imaging (MRI) as screening tool has been stalled by high examination costs. Scan protocols have lengthened to optimize specificity. Modern view-sharing sequences now enable ultrafast dynamic whole-breast MRI, allowing much shorter and more cost-effective procedures. This study evaluates whether information from MRI can be used replace standard preserve accuracy. Materials Methods We interleaved 20 time-resolved angiography with...

Objectives Breast cancer screening using magnetic resonance imaging (MRI) has limited accessibility due to high costs of breast MRI. Ultrafast dynamic contrast-enhanced MRI can be acquired within 2 minutes. We aimed assess whether performance radiologist an ultrafast MRI-only protocol is as good a full multiparametric diagnostic (FDP). Materials and Methods The institutional review board approved this study, waived the need for informed consent. Between January 2012 June 2014, 1791...

Purpose To evaluate a multimodal surveillance regimen including yearly full-field digital (FFD) mammography, dynamic contrast agent–enhanced (DCE) magnetic resonance (MR) imaging, and biannual automated breast (AB) ultrasonography (US) in women with BRCA1 BRCA2 mutations. Materials Methods This prospective multicenter trial enrolled 296 carriers of the BRCA mutation (153 128 carriers, 15 first-degree untested relatives) between September 2010 November 2012, follow-up until 2015. Participants...

To determine the effect of computer-aided-detection (CAD) software for automated breast ultrasound (ABUS) on reading time (RT) and performance in screening cancer.Unilateral ABUS examinations 120 women with dense breasts were randomly selected from a multi-institutional archive cases including 30 malignant (20/30 mammography-occult), benign, 60 normal histopathological verification or ≥ 2 years negative follow-up. Eight radiologists read once (CAD-ABUS) without CAD > 8 weeks between...

Ultrafast dynamic contrast-enhanced magnetic resonance imaging of the breast enables assessment contrast inflow dynamics while providing images with diagnostic spatial resolution. However, slice thickness common ultrafast techniques still prevents multiplanar reconstruction. In addition, some temporal blurring enhancement characteristics occurs in case view-sharing is used. We evaluate a prototype compressed-sensing volume-interpolated breath-hold examination (CS-VIBE) sequence for MRI that...

Purpose: Automated 3D breast ultrasound (ABUS) has gained interest in imaging. Especially for screening women with dense breasts, ABUS appears to be beneficial. However, since the amount of data generated is large, risk oversight errors substantial. Computer aided detection (CADe) may used as a second reader prevent errors. When CADe this fashion, it essential that small cancers are detected, while number false positive findings should remain acceptable. In work, authors improve their...

Background Computer-aided detection software for automated breast ultrasound has been shown to have potential in improving the accuracy of radiologists. Alternative ways implementing computer-aided detection, such as independent validation or preselecting suspicious cases, might also improve radiologists’ accuracy. Purpose To investigate effect using performance radiologists by validating findings reported during screening with ultrasound. Material and Methods Unilateral exams were performed...

We investigated the benefits of incorporating texture features into an existing computer-aided diagnosis (CAD) system for classifying benign and malignant lesions in automated three-dimensional breast ultrasound images. The takes account 11 different features, describing lesion properties; however, it does not include features. In this work, we expand by including based on local binary patterns, gray level co-occurrence matrices, Gabor filters computed from each to be diagnosed. To deal with...

Reliable breast density measurement is needed to personalize screening by using as a risk factor and offering supplemental women with dense breasts. We investigated the categorization of pairs subsequent mammograms into classes human readers an automated system. With software (VDG) four readers, including three specialized radiologists, 1000 belonging 500 exams were categorized either two or classes. calculated percent agreement percentage that changed from non-dense vice versa. Inter-exam...

Breast MRI has been recognized as the most sensitive modality for breast cancer screening. Its use is, however, restricted due to high costs of scan itself, limited availability scanners and long reading times. In this review, shorter protocols screening is discussed. Shortened have proposed reduce both actual patient handling time evaluate scan. So far, these "abbreviated" shown similar sensitivity only marginally lower specificity common protocols, while largely reducing required...

Purpose: Automated 3D breast ultrasound (ABUS) has been proposed as a complementary screening modality to mammography for early detection of cancers. To facilitate the interpretation ABUS images, automated diagnosis and techniques are being developed, in which malignant lesion segmentation plays an important role. However, cancer is challenging since edges might not be well defined. In this study, authors aim at developing method lesions that robust ill‐defined posterior shadowing. Methods:...

Automated three-dimensional breast ultrasound (ABUS) is a valuable adjunct to x-ray mammography for cancer screening of women with dense breasts. High image quality essential proper diagnostics and computer-aided detection. We propose an automated assessment system ABUS images that detects artifacts at the time acquisition. Therefore, we study three aspects can corrupt images: nipple position relative rest breast, shadow caused by nipple, shape contour on image. Image processing machine...

To develop a set of accurate 2D models compressed breasts undergoing mammography or breast tomosynthesis, based on objective analysis, to accurately characterize mammograms with few linearly independent parameters, and generate novel clinically realistic paired cranio-caudal (CC) medio-lateral oblique (MLO) views the breast.We seek improve an existing model by overcoming detector size bias, removing nipple non-mammary tissue, pairing CC MLO from single breast, incorporating pectoralis major...

Automated ultrasound of the breast has advantage to have whole scanned by technicians. Consequently, feedback radiologist about concurrent focal abnormalities (e.g., palpable lesions) is lost. To enable marking patient- or physician-reported abnormalities, we aimed develop skin markers that can be used without disturbing interpretability image.Disk-shaped were casted out silicone. In this IRB-approved prospective study, 16 patients included with a mean age 57 (39-85). all patients, same...

The high diagnostic accuracy of ultrasound opens possibilities to shift towards an initial approach for the evaluation focal breast complaints in women, with only additional DBT case unclear or suspicious findings. As general practitioners (GPs) are important stakeholders pathway, this study focuses on GPs perspective as primary imaging test, well GP referral process.

Computer-aided detection (CAD) systems are expected to improve effectiveness and efficiency of radiologists in reading automated 3D breast ultrasound (ABUS) images. One challenging task on developing CAD is reduce a large number false positives. A amount positives originate from acoustic shadowing caused by ribs. Therefore determining the location chestwall ABUS necessary remove these Additionally it can be used as an anatomical landmark for inter- intra-modal image registration. In this...

Poster: ECR 2018 / C-2956 Breast lesion markers for 3D ultrasound examinations of the breast. by: L. de Jong 1, M. K. Welleweerd2, J. van Zelst1, F. Siepel2, S. Stramigioli2, Futterer1, R. Mann1, C. Korte1; 1Nijmegen/NL, 2Enschede/NL

Automated breast ultrasound (ABUS) is a 3D imaging technique which rapidly emerging as safe and relatively inexpensive modality for screening of women with dense breasts. However, reading ABUS examinations very time consuming task since radiologists need to manually identify suspicious findings in all the different volumes available each patient. Image analysis techniques automatically link across are required speed up clinical workflow make more efficient. In this study, we propose an...