News | Breast Imaging | August 02, 2019

Volpara to Distribute Screenpoint Medical's Transpara AI Solution

Volpara will sell artificial intelligence-powered breast cancer detection solution in the U.S., Australia, New Zealand and parts of Asia

Volpara to Distribute Screenpoint Medical's Transpara AI Solution

August 2, 2019 — Volpara Solutions and ScreenPoint Medical BV signed an agreement under which Volpara will sell ScreenPoint's Transpara products to breast imaging clinics in the United States, Australia, New Zealand and parts of Asia. Transpara is designed to assist radiologists with the reading of mammograms and is one of the first next-generation artificial intelligence (AI) applications for detecting breast cancer in screening mammograms to gain 510(k) clearance from the U.S. Food & Drug Administration (FDA).

FDA clearance was supported by the results of a multi-reader, multi-case reader study published in February 2019 in Radiology, which demonstrated that radiologists using Transpara significantly improved detection accuracy without increasing reading times.1 Radiologists' performance consistently improved independent of their level of experience. In the JNCI publication that followed in March, it was reported that when compared to 101 radiologists, the stand-alone performance (sensitivity and specificity) of Transpara was as accurate.2 This suggests that the system gives an objective second opinion similar to that of a second radiologist. 

Transpara gained European regulatory approval (CE) for use with multi-vendor mammography (2018) and digital breast tomosynthesis (DBT) images (2019), and is already installed at breast imaging centers in Europe.

Both companies showcased their complete suite of breast imaging analytics tools at the Association for Medical Imaging Management (AHRA) 2019 Annual Meeting, July 21-24 in Denver.

For more information:,


1. Rodriguez-Ruiz A., Krupinski E., Mordang J., et al. Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System. Radiology, published online Nov. 20, 2018.

2. Rodriguez-Ruiz A., Lang K., Gubern-Merida A., et al. Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists. Journal of the National Cancer Institute, March 5, 2019.

Related Content

Sectra Signs Enterprise Imaging Contract With Vanderbilt Health
News | Enterprise Imaging | August 21, 2019
Sectra will install its enterprise imaging picture archiving and communication system (PACS) and vendor neutral archive...
Jackson Memorial Hospital Holds Ribbon-cutting for New Cardiac Catheterization Labs
News | Angiography | August 21, 2019
Jackson Memorial Hospital in Miami celebrated the opening of two newly renovated cardiac catheterization suites during...
Videos | Treatment Planning | August 21, 2019
This is an example of the Mirada DLCExpert deep learning software that automatically identifies organs, segments and
Improved Imaging Technique Could Increase Chances of Prostate Cancer Survival
News | Prostate Cancer | August 20, 2019
According to the American Cancer Society, approximately one in nine men will be diagnosed with prostate cancer in their...
Some Pregnant Women Are Exposed to Gadolinium in Early Pregnancy
News | Women's Health | August 20, 2019
A small but concerning number of women are exposed to a commonly used magnetic resonance imaging (MRI) contrast agent...
Lunit Receives Korea MFDS Approval for Lunit Insight MMG
News | Artificial Intelligence | August 19, 2019
Lunit has announced Korea Ministry of Food and Drug Safety (MFDS) approval of its artificial intelligence (AI) solution...
Imago Systems Announces Collaboration With Mayo Clinic for Breast Imaging

Image courtesy of Imago Systems

News | Mammography | August 14, 2019
Image visualization company Imago Systems announced it has signed a know-how license with Mayo Clinic. The multi-year...
Artificial Intelligence Could Yield More Accurate Breast Cancer Diagnoses
News | Artificial Intelligence | August 13, 2019
University of California Los Angeles (UCLA) researchers have developed an artificial intelligence (AI) system that...
Lake Medical Imaging Selects Infinitt for Multi-site RIS/PACS
News | PACS | August 09, 2019
Infinitt North America will be implementing Infinitt RIS (radiology information system)/PACS (picture archiving and...
Videos | Radiographic Fluoroscopy (RF) | August 09, 2019
Shimadzu displayed the FluoroSpeed X1 conventional radiographic fluoroscopy (RF) system at the Association for Medica