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Discordant and false-negative interpretations at digital breast tomosynthesis in the prospective Oslo Tomosynthesis Screening Trial (OTST) using independent double reading
ObjectivesTo analyze discordant and false-negatives of double reading digital breast tomosynthesis (DBT) versus digital mammography (DM) including...
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Interval cancer in the Córdoba Breast Tomosynthesis Screening Trial (CBTST): comparison of digital breast tomosynthesis plus digital mammography to digital mammography alone
PurposeThis work aims to compare the interval cancer rate and interval cancer characteristics between women screened with digital breast...
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False-positive recalls in the prospective Malmö Breast Tomosynthesis Screening Trial
ObjectivesTo evaluate the total number of false-positive recalls, including radiographic appearances and false-positive biopsies, in the Malmö Breast...
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Can multi-modal radiomics using pretreatment ultrasound and tomosynthesis predict response to neoadjuvant systemic treatment in breast cancer?
ObjectivesResponse assessment to neoadjuvant systemic treatment (NAST) to guide individualized treatment in breast cancer is a clinical research...
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Role of tomosynthesis and ultrasound in the assessment of asymmetric breast densities: a comparative prospective study
BackgroundTomosynthesis is a recent advancement of full-field digital mammography involves transforming two-dimensional (2D) breast images into three...
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Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks
ObjectivesThe aim of this study was to develop and validate a commercially available AI platform for the automatic determination of image quality in...
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Impact of super-resolution and image acquisition on the detection of calcifications in digital breast tomosynthesis
ObjectivesA virtual clinical trial (VCT) method is proposed to determine the limit of calcification detection in tomosynthesis.
Methods ...
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Impact of real-life use of artificial intelligence as support for human reading in a population-based breast cancer screening program with mammography and tomosynthesis
ObjectivesTo evaluate the impact of using an artificial intelligence (AI) system as support for human double reading in a real-life scenario of a...
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Digital breast tomosynthesis in the diagnostic settings of breast cancer patients treated by conservation therapy
BackgroundBreast cancer survivors who underwent breast conserving therapy (BCT) are still 10% more likely to develop a second breast cancer at...
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Modulation transfer function of digital breast tomosynthesis: a comparison of various edge devices
The modulation transfer function (MTF) is a fundamental tool for assessing the sharpness of digital breast tomosynthesis (DBT) systems and is...
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Clinical benefits of tomosynthesis-guided vacuum assisted breast biopsy: a comparison with stereotactic vacuum assisted biopsy
BackgroundTomosynthesis-guided vacuum assisted breast biopsy (3D-VAB) has been used increasingly. The aim of our study is to compare the clinical...
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Image Quality Enhancement for Digital Breast Tomosynthesis: High-Density Object Artifact Reduction
Breast cancer has a high incidence and mortality rate among women, early diagnosis is essential as it gives insight regarding the most appropriate...
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Comparison of prone and upright, stereotactic, and tomosynthesis-guided biopsies with secondary analysis of ultrasound-occult architectural distortions
ObjectivesCompare prone and upright, stereotactic, and tomosynthesis-guided vacuum-assisted breast biopsies (prone DM-VABB, prone DBT-VABB, upright...
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Using automated software evaluation to improve the performance of breast radiographers in tomosynthesis screening
ObjectiveTo improve breast radiographers’ individual performance by using automated software to assess the correctness of breast positioning and...
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Deep learning model to predict Ki-67 expression of breast cancer using digital breast tomosynthesis
BackgroundDevelo** a deep learning (DL) model for digital breast tomosynthesis (DBT) images to predict Ki-67 expression.
MethodsThe institutional...
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Digital breast tomosynthesis in mammographic screening: false negative cancer cases in the To-Be 1 trial
ObjectivesThe randomized controlled trial comparing digital breast tomosynthesis and synthetic 2D mammograms (DBT + SM) versus digital mammography...
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Cost-Effectiveness Analysis of Digital Breast Tomosynthesis and Mammography in Breast Cancer Screening: A Markov Modeling Study
BackgroundMammography (MG) has demonstrated its effectiveness in diminishing mortality and advanced-stage breast cancer incidences in breast...
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Take a break: should breaks be enforced during digital breast tomosynthesis reading sessions?
ObjectivesDigital breast tomosynthesis (DBT) can improve diagnostic accuracy compared to 2D mammography, but DBT reporting is time-consuming and...
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Value of digital breast tomosynthesis in characterization of breast lesions in dense breast
BackgroundPatients with dense breasts have a higher risk factor for develo** breast cancer. Digital mammography (DM) exhibits a reduced sensitivity...
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Digital tomosynthesis spot view in architectural distortions: outcomes in management and radiation dose
PurposeTo evaluate if digital breast tomosynthesis spot compression view (DBT-SCV) could be an additional projection to confirm or deny architectural...
