QVCAD System
Overview
The QVCAD System by QView Medical is an artificial intelligence-enabled computer-aided detection (CAD) software designed to assist in breast cancer screening. It is specifically developed for use with 3D Automated Breast Ultrasound (ABUS) systems to support the evaluation of asymptomatic women with dense breast tissue who have had negative mammograms.
Tailored for radiologists and breast imaging specialists in clinical and outpatient imaging settings, the system integrates directly into the diagnostic reading workflow. Unlike traditional CAD tools that function as a secondary look after the initial review, QVCAD is designed for concurrent reading. This allows physicians to view CAD-generated findings at the start of their image analysis, helping to streamline the review of complex, high-volume ABUS datasets.
Key capabilities of the system include:
- C-Thru Navigator: An overview image that highlights potential regions of interest (ROIs) such as dark areas or architectural spiculations, allowing radiologists to assess the entire case quickly.
- Interactive ROI Hovering: Users can hover over flagged regions to instantly display corresponding transverse and coronal views, facilitating rapid scrolling and detailed examination of adjacent slices.
- Standardized Integration: The software receives native ABUS images via standard DICOM format and processes them using deep learning algorithms to distinguish potential lesions from normal tissue.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered Computer-Aided Detection (CAD)
- Image processing software for 3D ABUS
- Detects suspicious areas of breast tissue (5mm or more)
- Utilizes sophisticated algorithms and artificial neural networks
- Q-Viewer for concurrent display of ABUS images and CAD output
- QVCAD Navigator image (C-Thruu2122 technology) for overview and highlighting abnormalities
- Aids in reducing ABUS interpretation time by 33% while maintaining diagnostic accuracy
- DICOM format input for images
- Provides synthetic 2D images for quick overview
- Enhances radial spiculations and retraction patterns in coronal reconstructions
Use Cases
- Aid to radiologists during breast screening procedures
- Screening women with dense breast tissue
- Detection of mammography-occult lesions
- Improving radiologist productivity and workflow for ABUS interpretation
- Reducing interpretation time of screening ABUS exams
- Supporting multi-modality breast screening protocols
What Physicians Need to Know
For radiologists utilizing ABUS for dense breast screening, QVCAD can significantly enhance workflow efficiency by reducing interpretation time by approximately one-third without compromising diagnostic accuracy. Leverage the C-thruu2122 Navigator image for a quick overview and utilize the 'Hover Mode' for rapid, detailed examination of suspicious areas. Remember that QVCAD is an aid, and the final diagnostic assessment remains with the physician. The system is particularly beneficial for new ABUS users to shorten their learning curve and increase confidence in interpreting complex volumetric data. Ensure proper training from QView Medical personnel to maximize the system's utility.
The QVCAD System is designed to integrate seamlessly with 3D Automated Breast Ultrasound (ABUS) systems, specifically GE Healthcare's Inveniau2122 ABUS 2.0, through its viewer for a streamlined workflow. It accepts DICOM-formatted images from ABUS acquisition systems or PACS. While direct integration with other third-party systems or a public API is not currently disclosed, its DICOM compatibility allows for standard image data exchange within a radiology department's existing infrastructure.
Details
| Category | Oncology AI, Radiology & Imaging AI |
| Pricing | Custom — Custom pricing based on features and organizational requirements. |
| Deployment | On-premise (behind hospital firewall) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated The QVCAD System received Premarket Approval (PMA P150043) from the FDA on November 9, 2016. It is indicated for use as an aid to the reader during screening procedures in searching images of female breasts produced by the somo.v Automated Breast Ultrasound System (ABUS) to detect mammography-occult lesions in regions not known to have suspicious findings, specifically for women with screening mammography BI-RADS® Assessment Category 1 or 2, and BI-RADS Composition/Density c or d. |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology, Radiology |
What the Web Says
The QVCAD System is an AI-powered, FDA-approved computer-aided detection (CAD) system for 3D Automated Breast Ultrasound (ABUS) screening, designed to assist radiologists in detecting breast cancer, particularly in women with dense breast tissue. It aims to improve diagnostic accuracy and significantly reduce the interpretation time of ABUS exams, which can involve up to 2,000 images per case. Physicians and researchers have highlighted its potential to become a new standard of care in breast ultrasound interpretation and to shorten the learning curve for new ABUS users.
Overall: PositiveStrengths
- Reduces ABUS interpretation time by up to 33% while maintaining diagnostic accuracy.
- Increases diagnostic confidence for radiologists, especially new ABUS users.
- Aids in detecting suspicious areas in dense breast tissue, where mammography may be less effective.
- Provides a C-thruu2122 Navigator image for an immediate visual overview of the entire ABUS case.
- Highlights potentially malignant lesions with CAD marks and enhanced dark areas.
- Streamlines clinical workflow through integration with ABUS systems.
Limitations
- Interpretation of ABUS exams, even with QVCAD, can still be complex.
- The reading time improvement primarily applies to the ABUS component, and overall productivity depends on other factors.
- Some general concerns exist about AI systems in healthcare, such as potential for false positives and the need for unbiased data.
- No specific cons from direct user reviews of QVCAD were found on G2, Capterra, or Reddit, which instead showed reviews for different CAD software (QCAD) or general AI in healthcare discussions.
Based on reviews from: QView Medical, Inc., BioSpace, PR Newswire, accessdata.fda.gov, RSNA Press Room
Last updated: 2026-07-19
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QView CAD AI Assistant for 3D Breast Ultrasound
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