Breast Imaging
Women's health related to breast imaging, including mammography, breast MRI, ABUS, automated breast ultrasound, breast ultrasound, breast biopsy, PEM and positron emission mammography.
Mammograms of a 49-year-old woman with invasive lobular carcinoma on the right-side breast. A small mass with micro-calcifications on the right-side breast was detected correctly by AI with an abnormality score of 96%. This case was recalled by 7 out of 14 radiologists (4 breast radiologists and 3 general radiologists) initially (without AI) and all 14 radiologists recalled this case correctly with the assistance of AI.
News | Artificial Intelligence | February 11, 2020
February 11, 2020 — A new study, published in Lancet Digital Health, shows the added value of AI-aided breast cancer...
Sponsored Content | Videos | Artificial Intelligence | February 06, 2020
ProFound AI is an FDA-cleared artificial intelligence (AI) system for reading 3-D breast tomosynthesis images. At...
Feature | Breast Imaging | February 03, 2020 | By Barbara Smith
Women in the United States have a 1 in 8 (or about 13 percent) lifetime risk of being diagnosed with breast cancer...
News | Breast Imaging | January 29, 2020
January 29, 2020 — Life Image announced that it will provide Mammosphere, a breast health data access tool, to the ...
A 50-y-old postmenopausal woman with fibroadenoma (arrows) in left breast. (A) Unenhanced fat-saturated T1-weighted MRI shows extreme amount of FGT (ACR d). (B) Moderate BPE is seen on dynamic contrast-enhanced MRI at 90 s. (C) Mean ADC of breast parenchyma of contralateral breast on diffusion-weighted imaging with ADC mapping is 1.5 × 10?3 mm2/s. (D) On 18F-FDG PET/CT, lesion is not 18F-FDG-avid, and BPU of normal breast parenchyma is relatively high, with SUVmax of 3.2. Photo courtesy of K Pinker, et al., Medical University of Vienna, Vienna, Austria
News | PET-MRI | January 27, 2020
January 27, 2020 — Researchers have identified several potentially useful breast cancer biomarkers that indicate the...
Sponsored Content | Videos | Mammography | January 24, 2020
Imaging Technology News Contributing Editor Greg Freiherr interviewed Henry Izawa, vice president of modality solutions...
News | Virtual and Augmented Reality | January 21, 2020
January 21, 2020 — Virtual reality during chemotherapy has been shown to improve breast cancer patients’ quality of...
This is a lung X-ray reviewed automatically by artificial intelligence (AI) to identify a collapsed lung (pneumothorax) in the color coded area. This AI app from Lunit is awaiting final FDA review and in planned to be integrated into several vendors' mobile digital radiography (DR) systems. Fujifilm showed this software integrated as a work-in-progress into its mobile X-ray system at RSNA 2019. GE Healthcare has its own version of this software for its mobile r=ray systems that gained FDA in 2019.
Feature | RSNA | January 20, 2020 | Dave Fornell, Editor
Here are images of some of the newest new medical imaging technologies displayed on the expo floor at the Radiological...
Videos | RSNA | January 13, 2020
ITN Editor Dave Fornell takes a tour of some of the most innovative new medical imaging technologies displayed on the...
News | Breast Density | January 09, 2020
January 9, 2020 — A new study suggests that state-mandated notifications on mammogram reports intended to inform women...
Sponsored Content | Videos | Digital Radiography (DR) | January 03, 2020
At RSNA19, David Widmann, president and CEO of Konica Minolta Healthcare Americas, discussed innovation, stressing the...
Videos | MRI Breast | December 26, 2019
Gillian Newstead, M.D., director of global breast imaging and former professor at the University of Chicago, explains a...
Patient inclusion flowchart shows selection of women in the training and validation samples used for deep neural network development, as well as in the test sample (current study sample). Exclusions are detailed in the footnote. PACS = picture archiving and communication system. Image courtesy of Radiological Society of North America.
News | Artificial Intelligence | December 18, 2019
December 17, 2019 — A sophisticated type of artificial intelligence (AI) can outperform existing models at predicting...
Image courtesy of Eizo
News | Breast Imaging | December 17, 2019
December 17, 2019 — The "Breast Imaging Device Market Size, Outlook and Growth Opportunities, 2019- 2025" report is now...
Image courtesy of RSNA
News | Clinical Trials | December 17, 2019
December 16, 2019 — Survival rates for patients with breast cancer have improved significantly in the last four decades...
Timothy Whelan is a professor of oncology at McMaster University and a radiation oncologist at the Juravinski Cancer Centre of Hamilton Health Sciences. He holds a Canada Research Chair in Breast Cancer Research. Photo courtesy McMaster University. Photo courtesy of McMaster University
News | Breast Imaging | December 06, 2019
December 6, 2019 — A shorter course of higher-dose radiation treatment to part of the breast is showing promise in...
News | Mammography | November 30, 2019
November 30, 2019 — To help empower clinicians and patients in their fight against breast cancer, GE Healthcare ...
This bar graph shows breast cancer presentation by screening interval. Image courtesy of study author and RSNA
News | Breast Imaging | November 28, 2019
November 28, 2019 — Cancers found in patients undergoing annual mammography screening are smaller and less advanced...
News | Breast Imaging | November 26, 2019
November 26, 2019 — Unifi Workspace, a new comprehensive breast diagnostic reading solution from Hologic, will launch...
News | Breast Imaging | November 22, 2019
November 22, 2019 — Candelis, Inc. recently launched the Advanced Breast Imaging Workstation as an enhancement to its...