CEDM excels as presurgical diagnosis tool in large study

Contrast-enhanced digital mammography (CEDM) may be an excellent choice for...Read more on AuntMinnie.comRelated Reading: CEDM a useful alternative for breast cancer screening Contrast mammo equals MRI for measuring tumor size CEDM reduces biopsies of benign breast lesions Contrast-enhanced mammography prepares to enter clinical mainstream
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news

Related Links:

AbstractPurpose of ReviewTo bring the reader up to date on recent literature on cancer detection with digital breast tomosynthesis (DBT).Recent FindingsMany early landmark trials have recently published follow-up studies comparing DBT and synthesized DBT (SM  + DBT) to digital mammography (DM). Recent work has also focused on interval cancers and biological characteristics of DBT cancers in efforts to assess the impact of cancer detection with DBT.SummaryConsistent increases in cancer detection and overall reductions in recall rates are observed with DBT and maintained with SM  + DBT. Studies on...
Source: Current Radiology Reports - Category: Radiology Source Type: research
Publication date: Available online 27 March 2020Source: Journal of the American College of RadiologyAuthor(s): Claire C. Conley, Bethany L. Niell, Bianca M. Augusto, McKenzie McIntyre, Richard Roetzheim, Kimberly Funaro, Susan T. Vadaparampil
Source: Journal of the American College of Radiology - Category: Radiology Source Type: research
Shortened protocol identifies more cancers than ultrasound or mammography.
Source: Diagnostic Imaging - Category: Radiology Authors: Tags: Breast Cancer Breast Health Ultrasound Breast Imaging Mammography MRI Screening Source Type: news
Abstract Deep convolutional neural network (DCNN), now popularly called artificial intelligence (AI), has shown the potential to improve over previous computer-assisted tools in medical imaging developed in the past decades. A DCNN has millions of free parameters that need to be trained, but the training sample set is limited in size for most medical imaging tasks so that transfer learning is typically used. Automatic data mining may be an efficient way to enlarge the collected data set but the data can be noisy such as incorrect labels or even a wrong type of images. In this work we studied the generalization err...
Source: Physics in Medicine and Biology - Category: Physics Authors: Tags: Phys Med Biol Source Type: research
Private health insurers spend more than $2 billion a year to screen women in their 40s for breast cancer, though fewer than half those eligible undergo mammograms, a new study shows.
Source: Health News - UPI.com - Category: Consumer Health News Source Type: news
Diagnostic mammography is effective on its own for evaluating palpable breast...Read more on AuntMinnie.comRelated Reading: Ultrasound performance mixed in breast cancer survivors Deep-learning algorithm helps assess dense breasts Supplemental dense breast screening practices vary WISDOM breast cancer screening study now open to all Hey, Alexa -- Tell me about breast density
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
The total national cost of annual breast cancer screening in a population of...Read more on AuntMinnie.comRelated Reading: Patients want screening mammography results via video More young women are developing breast cancer Docs lack consistency in breast cancer screening Patients want sensitive adjunct breast screening Do women over 75 need screening mammography?
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
(JAMA Network) Researchers used a large commercial claims database to estimate the percentage of US women in their 40s with private insurance who were eligible and received screening mammography in 2017 and national costs for this screening.
Source: EurekAlert! - Cancer - Category: Cancer & Oncology Source Type: news
AbstractThe diagnosis of breast cancer in early stage is essential for successful treatment. Detection can be performed in several ways, the most common being through mammograms. The projections acquired by this type of examination are directly affected by the composition of the breast, which density can be similar to the suspicious masses, being a challenge the identification of malignant lesions. In this article, we propose a computer-aided detection (CAD) system to aid in the diagnosis of masses in digitized mammograms using a model based in the U-Net, allowing specialists to monitor the lesion over time. Unlike most of...
Source: Journal of Digital Imaging - Category: Radiology Source Type: research
CONCLUSION: The diagnostic performances of CESM and US are comparable in symptomatic women with dense breasts; however, the routine use of additional US imaging is questionable for lesions that can be detected by CESM. PMID: 32193892 [PubMed - in process]
Source: Korean J Radiol - Category: Radiology Authors: Tags: Korean J Radiol Source Type: research
More News: Breast Cancer | Cancer | Cancer & Oncology | Mammography | Radiology | Study