News | Women's Health | October 31, 2017

Koning Corp. Receives Vizient New Innovative Technology Contract for Breast CT System

Three-dimensional computed tomography system for breast cancer detection will be showcased at RSNA 2017

Koning Corp. Receives Vizient New Innovative Technology Contract for Breast CT System

October 31, 2017 — Koning Corp. announced it will showcase its Koning Breast CT (computed tomography) system at the 2017 Radiological Society of North America (RSNA) Annual Meeting, Nov. 26-Dec. 1 in Chicago. The system received an Innovative Technology contract in March from Vizient Inc., the largest member-owned healthcare company in the country.

The contract was based on a recommendation of Koning Breast CT (CBCT 1000) by hospital experts with expertise in this category who serve on one of Vizient’s member-led councils. Innovative Technology contracts are reserved for technologies that demonstrate an ability to enhance clinical care or patient safety, and those that improve an organization’s care delivery and business model.

The Koning CBCT 1000 is a U.S. Food and Drug Administration (FDA)-approved 3-D breast cancer detection device. According to the company, the system dramatically improves the way clinicians visualize and evaluate breast tissue for cancer detection.

Vizient Inc. represents the combined strengths of the organizations formerly known as VHA Inc., University HealthSystem Consortium, Novation and MedAssets’ Spend and Clinical Resource Management. Since 2003, nearly 2,200 new and innovative products and technologies have been submitted through the Vizient Innovative Technology program. Vizient works with member-led councils and task forces to identify and review potentially innovative products. If it is determined that a product is innovative, a contract may be awarded outside of Vizient’s competitive bid cycle.

For more information: www.koninghealth.com

Related Content

Video Plus Brochure Helps Patients Make Lung Cancer Scan Decision

Image courtesy of the American Thoracic Society

News | Lung Cancer | April 19, 2019
A short video describing the potential benefits and risks of low-dose computed tomography (CT) screening for lung...
FDA Clears GE's Deep Learning Image Reconstruction Engine
Technology | Computed Tomography (CT) | April 19, 2019
GE Healthcare has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) of its Deep Learning Image...
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.
iCAD Appoints Stacey Stevens as President
News | Radiology Business | April 16, 2019
iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens will have expanded...
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.