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AVIEW CAC

Coreline Soft

Cononary Artery Calcium Scoring

Information source: Vendor
Last updated: November 6, 2024

General Information

General
Product name	AVIEW CAC
Company	Coreline Soft
Subspeciality	Chest
Modality	CT
Disease targeted	Coronary Artery Disease
Key-features	CAC score per branch, automatic segmentation, arterial age, Agatston, Volume, Mass score
Suggested use	During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), report suggestion

Technical Specifications

Data characteristics
Population	All adult chest CT
Input	Non enhanced, Cardiac gated CT
Input format	DICOM
Output	Score card with CAC score per branch, arterial age, Agatston, Volume, Mass score
Output format	PDF, Secondary Capture, Encapsulated DICOM
Technology
Integration	Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Stand-alone third party application, Stand-alone webbased, Server based
Deployment	Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based, Hybrid solution
Trigger for analysis	Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time	1 - 10 minutes

Regulatory

Certification
CE	Certified, Class IIb , MDR
FDA	510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)	AVIEW CAC provides CAC analysis by segmentation of four main artery (right coronary artery, left main coronary, left anterior descending and left circumflex artery then extracts calcium on coronary artery to provide Agatston score, volume score and mass score by whole and each segmented artery type. Based on the score, provides CAC risk based on age and gender.

Market

Market presence
On market since	11-2017
Distribution channels	RMS Medical Devices, Alma AI MARKETPLACE, Eureka Clinical AI
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model	Subscription, One-off payment
Based on	Number of users, Number of installations

Evidence

Evidence
Peer reviewed papers on performance	Fully Automated Deep Learning Powered Calcium Scoring in Patients undergoing Myocardial Perfusion Imaging (read) Deep Learning for Automatic Calcium Scoring in Population-Based Cardiovascular Screening (read)
Non-peer reviewed papers on performance
Other relevant papers