Women's Health

Women's health related technology used to detect and treat breast cancer and cervical cancer, including mammography, breast MRI, ABUS, breast ultrasound, breast biopsy, and breast radiation therapy.

In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images

In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images. Photo by Greg Freiherr

Feature | Artificial Intelligence | April 19, 2019 | By Greg Freiherr

Commercial efforts to develop...

Videos | Breast Imaging | April 18, 2019

In a keynote lecture at the Society of Breast Imaging (SBI)/American College of Radiology (ACR) 2019 Symposium, ...

Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer

Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer. Permission to publish provided by DenseBreast-info.org

Feature | Breast Imaging | April 18, 2019 | By Greg Freiherr

When planning a screening program to detect the early signs of breast cancer, age is a major consideration. But it...

iCAD Appoints Stacey Stevens as President
News | Radiology Business | April 16, 2019

April 16, 2019 — iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens...

compressed breast during mammography.
360 Photos | 360 View Photos | April 16, 2019

A 360 view of a simulated breast compression for a...

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr

The use of smart algorithms has the potential to make healthcare more efficient....

This image depicts ABUS images with QVCAD results

This image depicts ABUS images with QVCAD results.

Feature | Breast Imaging | April 12, 2019

Imaging Technology News spoke with Bob Foley, vice president of sales and marketing of QView Medical, Inc., about...

Uterine Fibroid Embolization Safer and as Effective as Surgical Treatment
News | Interventional Radiology | April 05, 2019

April 5, 2019 — Uterine fibroid embolization (UFE) effectively treats...

Visage 7 Enterprise Imaging Platform Highlighted at 2019 SBI/ACR Breast Imaging Symposium
News | Enterprise Imaging | April 05, 2019

April 5, 2019 — Visage Imaging will be exhibiting the latest version of the Visage 7 Enterprise Imaging Platform at...

iCAD Highlighting ProFound AI for Tomosynthesis at 2019 SBI Annual Symposium
News | Computer-Aided Detection Software | April 04, 2019

April 4, 2019 — iCAD announced it will present its latest...

Ikonopedia Introduces Automated Combined Reporting Package at SBI
News | Mammography Reporting Software | April 04, 2019

April 4, 2019 — Ikonopedia will introduce its new Automated Combined...

SuperSonic Imagine Highlights Aixplorer Mach 30 Breast Ultrasound at SBI/ACR Breast Imaging Symposium
News | Ultrasound Women's Health | April 03, 2019

April 3, 2019 — SuperSonic Imagine will introduce the new generation of its Aixplorer Mach 30...

Konica Minolta Highlights New Exa Mammo Features at SBI/ACR Breast Imaging Symposium
News | Breast Imaging | April 03, 2019

April 3, 2019 — Konica Minolta Healthcare Americas Inc. will highlight new features of Exa Mammo, a...

A smart algorithm developed by iCAD

A smart algorithm developed by iCAD outlines and scores a suspicious lesion seen in an image created using digital breast tomography. Displayed is the probability calculated by the algorithm that the outlined area includes a cancerous lesion. Image courtesy of Emily Conant, M.D.

Feature | Artificial Intelligence | April 03, 2019 | Greg Freiherr

 

Editor's Note: This article was updated following the SBI symposium.

 

In a study evaluating...

Videos | RSNA | April 03, 2019

ITN Editor Dave Fornell takes a tour of some of the most interesting new medical imaging technologies displayed on...

Samantha Zuckerman, M.D.

Sizes of words in this “word cloud” correlate to how often each word was used in survey responses to the question: “What do you perceive are the advantages to using synthetic mammography in screening?” In reference to decreased radiation dose to patients, the words “radiation,” “less” and “dose” were most frequently cited. Illustration courtesy of Samantha Zuckerman, M.D.

Feature | Mammography | April 02, 2019 | By Greg Freiherr

Many mammography practices that use digital breast tomosynthesis (DBT) continue to use dosed digital mammography to...

2-D and 3-D digital breast images

Since the widespread adoption of digital imaging and PACS, referring physicians seldom visit radiology reading rooms, substantially reducing a major source of feedback for radiologists. (Shown are 2-D and 3-D digital breast images.) A software module to be described April 5 at the SBI/ACR Breast Imaging Symposium has been providing that feedback for radiologists interpreting breast images at the University of Pittsburgh Medical Center. Image courtesy of Hologic

Feature | Women's Health | March 28, 2019 | By Greg Freiherr

The use pattern of a picture archiving and...