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Digital mammography

Francesca Caumo, Giovanna Romanucci, Kylie Hunter, Manuel Zorzi, Silvia Brunelli, Petra Macaskill, Nehmat Houssami
BACKGROUND: The Verona population-based breast cancer (BC) screening program provides biennial mammography to women aged 50-69 years. Based on emerging evidence of enhanced detection, the program transitioned to digital breast tomosynthesis (DBT) screening. METHODS: This is a prospective pilot evaluation of DBT with synthesised 2D mammography screening implemented during April 2015-March 2017; the rate and characteristics of cancers detected at DBT screening were compared with those detected at the preceding digital mammography (DM) screening round (April 2013-March 2015) in the same screening program...
March 20, 2018: Breast Cancer Research and Treatment
Jeroen J van den Broek, Nicolien T van Ravesteyn, Jeanne S Mandelblatt, Mucahit Cevik, Clyde B Schechter, Sandra J Lee, Hui Huang, Yisheng Li, Diego F Munoz, Sylvia K Plevritis, Harry J de Koning, Natasha K Stout, Marjolein van Ballegooijen
BACKGROUND: Collaborative modeling has been used to estimate the impact of potential cancer screening strategies worldwide. A necessary step in the interpretation of collaborative cancer screening model results is to understand how model structure and model assumptions influence cancer incidence and mortality predictions. In this study, we examined the relative contributions of the pre-clinical duration of breast cancer, the sensitivity of screening, and the improvement in prognosis associated with treatment of screen-detected cases to the breast cancer incidence and mortality predictions of 5 Cancer Intervention and Surveillance Modeling Network (CISNET) models...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Jeanne S Mandelblatt, Aimee M Near, Diana L Miglioretti, Diego Munoz, Brian L Sprague, Amy Trentham-Dietz, Ronald Gangnon, Allison W Kurian, Harald Weedon-Fekjaer, Kathleen A Cronin, Sylvia K Plevritis
BACKGROUND: Since their inception in 2000, the Cancer Intervention and Surveillance Network (CISNET) breast cancer models have collaborated to use a nationally representative core of common input parameters to represent key components of breast cancer control in each model. Employment of common inputs permits greater ability to compare model output than when each model begins with different input parameters. The use of common inputs also enhances inferences about the results, and provides a range of reasonable results based on variations in model structure, assumptions, and methods of use of the input values...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Namita Mohindra, Zafar Neyaz, Vinita Agrawal, Gaurav Agarwal, Prabhakar Mishra
Context: Digital breast tomosynthesis (DBT) is a new development in mammography technology which reduces the effect of overlapping tissue. Aims: The aim is to interrogate whether addition of DBT to digital mammography (DM) helps in better characterization of mammographic abnormalities in breast cancer patients in general and in different breast compositions. Settings and Design: Retrospective, analytical cross-sectional study. Subjects and Methods: Mammographic findings in 164 patients with 170 pathologically proven lesions were evaluated by using first DM alone and thereafter with addition of DBT to DM...
January 2018: International Journal of Applied and Basic Medical Research
Edoardo Ferocino, Edoardo Martinenghi, Alberto Dalla Mora, Antonio Pifferi, Rinaldo Cubeddu, Paola Taroni
A novel detection chain, based on 8 Silicon Photomultipliers (forming a wide-area custom-made detection probe) and on a time-to-digital converter, was developed to improve the signal level in multi-wavelength (635-1060 nm) time domain optical mammography. The performances of individual components and of the overall chain were assessed using established protocols (BIP and MEDPHOT). The photon detection efficiency was improved by up to 3 orders of magnitude, and the maximum count rate level was increased by a factor of 10 when compared to the previous system, based on photomultiplier tubes and conventional time-correlated single-photon counting boards...
February 1, 2018: Biomedical Optics Express
Dezső Ribli, Anna Horváth, Zsuzsa Unger, Péter Pollner, István Csabai
In the last two decades, Computer Aided Detection (CAD) systems were developed to help radiologists analyse screening mammograms, however benefits of current CAD technologies appear to be contradictory, therefore they should be improved to be ultimately considered useful. Since 2012, deep convolutional neural networks (CNN) have been a tremendous success in image recognition, reaching human performance. These methods have greatly surpassed the traditional approaches, which are similar to currently used CAD solutions...
March 15, 2018: Scientific Reports
John W Garrett, Yinsheng Li, Ke Li, Guang-Hong Chen
PURPOSE: Digital breast tomosynthesis (DBT) has been shown to somewhat alleviate the breast tissue overlapping issues of two dimensional (2D) mammography.However, the improvement in current DBT systems over mammography is still limited.Statistical image reconstruction (SIR) methods have the potential to reduce through-plane artifacts in DBT, and thus may be used to further reduce anatomical clutter. The purpose of this work was to study the impact of SIR on anatomical clutter in the reconstructed DBT image volumes...
March 15, 2018: Medical Physics
Dooman Arefan, Alireza Talebpour, Nasrin Ahmadinejhad, Alireza Kamali Asl
Purpose: Validation of the Gate tool in digital mammography image simulation from the viewpoint of image quality (contrast of calcifications). Materials and Methods: The polymethyl methacrylate (PMMA) phantom containing aluminum foils in different thicknesses is used for measuring the contrast of calcifications in a real system. In this research, the phantom and mammography system have been simulated by the Gate tool with the maximum possible details. The contrast of the aluminum foil in simulations and practical method has been compared with each other and the standard errors in the mean (SEM) for various voltages of X-ray tube, aluminum foil, and PMMA thicknesses have been reported...
January 2018: Journal of Cancer Research and Therapeutics
Khaled Alkhalifah, Ajit Brindhaban
OBJECTIVE: To investigate the effect of exposure factors used in digital screening mammography on images quality of different breast compositions. MATERIAL AND METHODS: A digital mammographic unit, with Tungsten (W) as target, Rhodium (Rh) and Silver (Ag) as filters and amorphous selenium (a-Se) detectors, was used to image Computerized Imaging Reference Systems (CIRS) Model 12A phantoms of thickness 4, 5 and 6 cm. Images of each phantom were obtained using target-filter combinations of W/Rh and W/Ag, at 28, 30, and 32 kVp...
March 7, 2018: Medical Principles and Practice: International Journal of the Kuwait University, Health Science Centre
Wenqing Sun, Tzu-Liang Bill Tseng, Wei Qian, Edward C Saltzstein, Bin Zheng, Hui Yu, Shi Zhou
PURPOSE: To help improve efficacy of screening mammography and eventually establish an optimal personalized screening paradigm, this study aimed to develop and test a new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view of the negative screening mammograms. METHODS: The dataset includes digital mammograms acquired from 392 women with two sequential full-field digital mammography examinations. All the first ("prior") sets of mammograms were interpreted as negative during the original reading...
March 2018: Computer Methods and Programs in Biomedicine
Valérie D V Sankatsing, Jacques Fracheboud, Linda de Munck, Mireille J M Broeders, Nicolien T van Ravesteyn, Eveline A M Heijnsdijk, André L M Verbeek, Johannes D M Otten, Ruud M Pijnappel, Sabine Siesling, Harry J de Koning
BACKGROUND: Between 2003 and 2010 digital mammography (DM) gradually replaced screen-film mammography (SFM) in the Dutch breast cancer screening programme (BCSP). Previous studies showed increases in detection rate (DR) after the transition to DM. However, national interval cancer rates (ICR) have not yet been reported. METHODS: We assessed programme sensitivity and specificity during the transition period to DM, analysing nationwide data on screen-detected and interval cancers...
March 5, 2018: BMC Cancer
Julius Emons, Marius Wunderle, Arndt Hartmann, Marcus Radicke, Claudia Rauh, Michael Uder, Paul Gass, Peter A Fasching, Hanna Langemann, Matthias W Beckmann, Rüdiger Schulz-Wendtland, Sebastian M Jud
Background Combinations *Equal contributors. of different imaging techniques in fusion devices appear to be associated with improvements in diagnostic assessment. Purpose The aim of this study was to test the feasibility of using an automated standard three-dimensional (3D) ultrasound (US) device fused with standard mammography for the first time in breast cancer patients. Material and Methods Digital mammograms and 3D automated US images were obtained in 23 patients with highly suspicious breast lesions. A recently developed fusion machine consisting of an ABVS 3D US transducer from an Acuson S2000 machine and a conventional Mammomat Inspiration device (both Siemens Healthcare GmbH, Erlangen, Germany) were used for the purpose...
January 1, 2018: Acta Radiologica
Kelly Spuur, Jodi Webb, Ann Poulos, Sharon Nielsen, Wayne Robinson
AIM: The aim of this study is to determine the clinical rates of the demonstration of the inframammary angle (IMA) on the mediolateral oblique (MLO) view of the breast on digital mammograms and to compare the outcomes with current accreditation standards for compliance. Relationships between the IMA, age, the posterior nipple line (PNL) and compressed breast thickness will be identified and the study outcomes validated using appropriate analyses of inter-reader and inter-rater reliability and variability...
March 2018: European Journal of Radiology
Solveig Hofvind, Tone Hovda, Åsne S Holen, Christoph I Lee, Judy Albertsen, Hilde Bjørndal, Siri H B Brandal, Randi Gullien, Jon Lømo, Daehoon Park, Linda Romundstad, Pål Suhrke, Einar Vigeland, Per Skaane
Purpose To compare the performance of digital breast tomosynthesis (DBT) and two-dimensional synthetic mammography (SM) with that of digital mammography (DM) in a population-based mammographic screening program. Materials and Methods In this prospective cohort study, data from 37 185 women screened with DBT and SM and from 61 742 women screened with DM as part of a population-based screening program in 2014 and 2015 were included. Early performance measures, including recall rate due to abnormal mammographic findings, rate of screen-detected breast cancer, positive predictive value of recall, positive predictive value of needle biopsy, histopathologic type, tumor size, tumor grade, lymph node involvement, hormonal status, Ki-67 level, and human epidermal growth factor receptor 2 status were compared in women who underwent DBT and SM screening and in those who underwent DM screening by using χ2 tests, two-sample unpaired t tests, and tests of proportions...
March 1, 2018: Radiology
Debbie Lee Bennett, Gloria Merenda, Stephanie Schnepp, Mary Catherine Lowdermilk
Primary breast osteosarcoma is a rare malignancy, with mostly case reports in the literature. The appearance of breast osteosarcoma on digital breast tomosynthesis imaging has not yet been described. A 69-year-old woman presents for routine screening mammography and is found to have a calcified mass in her right breast. Pattern of calcification appeared "sunburst" on digital breast tomosynthesis images. This mass was larger than on the previous year's mammogram, at which time it had been interpreted as a benign calcified fibroadenoma...
December 2017: Radiology Case Reports
Vibhav Prakash Singh, Subodh Srivastava, Rajeev Srivastava
Nowadays, huge number of mammograms has been generated in hospitals for the diagnosis of breast cancer. Content-based image retrieval (CBIR) can contribute more reliable diagnosis by classifying the query mammograms and retrieving similar mammograms already annotated by diagnostic descriptions and treatment results. Since labels, artifacts, and pectoral muscles present in mammograms can bias the retrieval procedures, automated detection and exclusion of these image noise patterns and/or non-breast regions is an essential pre-processing step...
2018: Journal of X-ray Science and Technology
Shanshan Tang, Kai Yang, Yong Chen, Liangzhong Xiang
PURPOSE: The objective of this study is to demonstrate the feasibility of X-ray induced acoustic computed tomography (XACT) for early breast un-palpable micro-calcification (μCa) detection in three dimensions (3D). The proposed technique provides the true 3D imaging for breast volume which overcomes the disadvantage of the tissue superposition in mammography. METHODS: A 3D breast digital phantom was rendered from two dimensional (2D) breast CT slices. Three different tissue types, including the skin, adipose tissue, and glandular tissue, were labeled in the 3D breast phantom...
February 26, 2018: Medical Physics
Mohammed A Al-Masni, Mugahed A Al-Antari, Jeong-Min Park, Geon Gi, Tae-Yeon Kim, Patricio Rivera, Edwin Valarezo, Mun-Taek Choi, Seung-Moo Han, Tae-Seong Kim
BACKGROUND AND OBJECTIVE: Automatic detection and classification of the masses in mammograms are still a big challenge and play a crucial role to assist radiologists for accurate diagnosis. In this paper, we propose a novel Computer-Aided Diagnosis (CAD) system based on one of the regional deep learning techniques, a ROI-based Convolutional Neural Network (CNN) which is called You Only Look Once (YOLO). Although most previous studies only deal with classification of masses, our proposed YOLO-based CAD system can handle detection and classification simultaneously in one framework...
April 2018: Computer Methods and Programs in Biomedicine
O Ortenzia, R Rossi, M Bertolini, A Nitrosi, C Ghetti
The aim of this article was to characterise the performance of four different digital breast tomosynthesis (DBT) systems in terms of dose and image quality parameters. One of them, GE Pristina, has never been tested before. Average glandular doses were measured both in DBT and 2D full field digital mammography mode. Several phantoms were employed to perform signal difference to noise ratio, slice sensitivity profile, slice to slice incrementation, chest wall offset, z-axis geometry, artefact spread function, low contrast detectability, contrast detail evaluations, image uniformity and in-plane MTF in chest wall-nipple and in tube-travel directions...
February 15, 2018: Radiation Protection Dosimetry
Daniel Förnvik, Masako Kataoka, Mami Iima, Akane Ohashi, Shotaro Kanao, Masakazu Toi, Kaori Togashi
OBJECTIVES: To compare breast density measured on digital breast tomosynthesis (DBT) (BI-RADS-based breast composition and fully-automatic estimation) and magnetic resonance imaging (MRI) (BI-RADS amount of fibroglandular tissue), and to evaluate the diagnostic performance in terms of sensitivity and specificity of DBT and MRI in a predominantly dense breast population. METHODS: Between 2015 and 2016, 152 women with 103 breast malignancies, who underwent 3-T breast MRI and DBT within 2 months' time, were enrolled in this study...
February 19, 2018: European Radiology
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