Synthesized 2D mammography equal to FFDM, with a caveat

The visibility of screen-detected cancers is generally equal to or higher on...Read more on AuntMinnie.comRelated Reading: Can DBT replace FFDM? SBI: DBT users aren't implementing synthesized 2D Synthesized 2D mammography works just as well as FFDM Breast tissue seems less dense on DBT scans Synthesized 2D mammo + DBT works for breast screening
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news

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This article presents a novel and completely automated algorithm for the detection of microcalcification clusters in a mammogram. A multiscale 2D non-linear energy operator is proposed for enhancing the contrast between the microcalcifications and the background. Several texture, shape, intensity, and histogram of oriented gradients (HOG) –based features are used to distinguish microcalcifications from other brighter mammogram regions. A new majority class data reduction technique based on data distribution is proposed to counter data imbalance problem. The algorithm is able to achieve 100% sensitivity with 2.59, 1.7...
Source: Journal of Digital Imaging - Category: Radiology Source Type: research
iCAD, a company based in Nashua, New Hampshire, won European CE Mark approval for its ProFound AI for 2D Mammography software system. The product relies on a “high-functioning, deep learning” artificial intelligence algorithm to a...
Source: Medgadget - Category: Medical Devices Authors: Tags: Ob/Gyn Radiology Surgery Source Type: blogs
AbstractPurposeTo develop a multiparametric [18F]FDG positron emission tomography/magnetic resonance imaging (PET/MRI) model for breast cancer diagnosis incorporating imaging biomarkers of breast tumors and contralateral healthy breast tissue.MethodsIn this prospective study and retrospective data analysis, 141 patients (mean 57  years) with an imaging abnormality detected on mammography and/or ultrasound (BI-RADS 4/5) underwent combined multiparametric [18F]FDG PET/MRI with PET/computed tomography and multiparametric MRI of the breast at 3  T. Images were evaluated and the following were recorded: for the tumor,...
Source: European Journal of Nuclear Medicine and Molecular Imaging - Category: Nuclear Medicine Source Type: research
This article originally appeared on South Manchester Radiology here.
Source: The Health Care Blog - Category: Consumer Health News Authors: Tags: Artificial Intelligence Health Tech Health Technology AI Clinical Decision Support image detection Radiology Rizwan Malik Source Type: blogs
ConclusionTOL methodology allowed effective training of both groups of readers. The iterative nature of individual training ensured production of user-friendly materials including frequently-asked-questions sheets. It allowed for each person to feel that their views were fully listened to and incorporated into the training package, allowing for training materials with high face validity.
Source: European Journal of Radiology Open - Category: Radiology Source Type: research
Objectives The purpose of this work is to present the data obtained from the first clinical in vivo application of a new dedicated spiral breast computed tomography (B-CT) equipped with a photon-counting detector. Materials and Methods The institutional review board approved this retrospective study. Twelve women referred for breast cancer screening were included and underwent bilateral spiral B-CT acquired in prone position. Additional sonography was performed in case of dense breast tissue or any B-CT findings. In 3 women, previous mammography was available for comparison. Soft tissue (ST) and high-resolution (HR) i...
Source: Investigative Radiology - Category: Radiology Tags: Original Articles Source Type: research
Conclusion Threshold isocontouring on high b-value maps is a viable approach to reliably evaluate DWI data of suspicious focal lesions in magnetic resonance mammography.
Source: Journal of Computer Assisted Tomography - Category: Radiology Tags: Cardiothoracic and Breast Imaging Source Type: research
Conclusions: We found the diagnostic yield of ultrasound screening for breast cancer in high-risk population was satisfactory. Prediction models based on environmental risk factors had limited prediction accuracy and need to be improved in the future. Introduction With an estimate of 2,088,849 newly diagnosed cases in 2018 worldwide, breast cancer is the most frequently diagnosed cancer for women and is also the leading cause of cancer-related deaths (1). In China, the burden of breast cancer increased dramatically for the past decades, with incidence and mortality of 28.77 per 10,000 and 6.35 per 10,000, respectiv...
Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
Conclusion: The texture analysis for breast DCE-MRI proposed in this study demonstrated potential utility in HER2 2+ status discrimination. Background Human epidermal growth factor receptor 2 (HER2) is an orphan tyrosine kinase receptor. It is reported that HER2 is overexpressed in 15–20% of breast cancers. Overexpression of HER2 in breast cancer correlates with shortened disease-free survival. Compared with HER2-negative patients, patients with HER2-positive breast cancers have a poor prognosis, a high probability of lymph node metastasis and a high risk of recurrence (1–3). However, previous studies h...
Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
AbstractIn the case of female breast cancer, a breast-conserving excision is often desirable. This surgery is based on preoperatively gathered MRI, mammography, and sonography images. These images are recorded in multiple patient positions, e. g., 2D mammography images in standing position with a compressed breast and 3D MRI images in prone position. In contrast, the surgery happens in supine or beach chair position. Due to these different perspectives and the flexible, thus challenging, breast tissue, the excision puts high demands on the physician. Therefore, this publication presents a novel eight-step excision support ...
Source: Medical and Biological Engineering and Computing - Category: Biomedical Engineering Source Type: research
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