DBT decreases the need for short-term follow-up

Adding screening digital breast tomosynthesis (DBT) to digital mammography...Read more on AuntMinnie.comRelated Reading: Hologic takes aim at USA Today article on DBT USA Today: DBT's value unproven, but marketing vigorous DBT finds more cancers of all types than FFDM Synthesized 2D mammography identifies smaller lesions Is screening with DBT worth the additional cost?
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news

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Dr. Laura Mulvey, 33, practices emergency medicine at Maimonides Medical Center in Brooklyn, New York. After spending six days receiving treatment in her own hospital, she is now recovering at home from what is presumed to be COVID-19, though her test was inconclusive. What follows is a lightly-edited transcript of her story as told to TIME. Early on, sometime in February, [COVID-19] was something that people were thinking about. And worried about. Certainly, the worries were not what they are now. But hospital-wise, we had a bit of an earlier jump on it, because we recognized that this was a potential threat. We’re ...
Source: TIME: Health - Category: Consumer Health News Authors: Tags: Uncategorized COVID-19 UnitedWeRise20Disaster Source Type: news
(JAMA Network) Nearly 200   radiologists who interpreted about 251,000   digital breast tomosynthesis (DBT) and 2 million   digital mammography screening examinations were included in this observational study that evaluated recall and cancer detection rates.
Source: EurekAlert! - Cancer - Category: Cancer & Oncology Source Type: news
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
Studies suggesting artificial intelligence is as good or better than doctors at interpreting medical images are of poor quality Related items fromOnMedica Sentinel node biopsy first to check spread of oral cancer NICE updates lung cancer guidance Benefits of breast screening are overestimated, research suggests Annual mammograms do not cut cancer deaths Ultrasonography needed to check for ectopic pregnancy
Source: OnMedica Latest News - Category: UK Health Source Type: news
AbstractPurposeTo compare automated breast volumetric scanning (ABVS) with hand-held bilateral whole breast ultrasound (HHUS) prospectively in regards to patient workflow, woman preference, efficacy in lesion detection, and characterization.Materials and methodsSupplemental screening was performed with both ABVS and HHUS to 345 women with dense breasts and negative mammograms. Acquisition and evaluation times were recorded. Lesions were classified according to BIRADS US criteria and compared one to one. Women were recalled for a secondary HHUS examination if ABVS showed any additional lesions. Findings were compared based ...
Source: Archives of Gynecology and Obstetrics - Category: OBGYN Source Type: research
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
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