​The QVCAD System is indicated for use as an aid to the radiologist during breast screening procedures for women who have negative mammograms but have had a 3D breast ultrasound (ABUS”) because of her dense breast tissue. The QVCAD CAD engine employs several image pattern recognition processes and artificial neural networks to detect suspicious areas in the breast. The objective is to distinguish potential breast lesions from normal breast tissue.
Product specifications Information source: Public
Last updated: Jan. 23, 2023
General
Product name QVCAD
Company QView Medical
Subspeciality Breast
Modality Ultrasound
Disease targeted Breast cancer
Key-features Breast abnormality detection, region analysis
Suggested use
Data characteristics
Population
Input 3D breast ultrasound
Input format DICOM
Output
Output format
Technology
Integration
Deployment
Trigger for analysis
Processing time
Certification
CE
Certified, Class unknown
FDA
PMA approved, Class III
Market presence
On market since 09-2016
Distribution channels
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model
Based on
Evidence
Peer reviewed papers on performance

  • Multi-modal artificial intelligence for the combination of automated 3D breast ultrasound and mammograms in a population of women with predominantly dense breasts (read)

  • 1000-Case Reader Study of Radiologists' Performance in Interpretation of Automated Breast Volume Scanner Images with a Computer-Aided Detection System (read)

Non-peer reviewed papers on performance
Other relevant papers