Reviewed 11 May 2026

Completeness Strong (69%)

CINA-VCF quantix

Avicenna.AI

CINA-VCF Quantix is a quantitative tool designed to detect unsuspected vertebral compression fractures in patients undergoing chest and/or abdominal CT scans. It labels and measures vertebral height loss ratios and provides mean Hounsfield Unit values for the thoracic and/or lumbar spine. By identifying these osteoporotic fractures early, the tool aims to help radiologists to initiate timely treatment.

Supported by 2 papers

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CINA-VCF quantix thumbnail 2

Key Features

  • Vertebral detection/labeling

General Information

Product name

CINA-VCF quantix

Modality

CT

Main task

Not specified

Subspeciality

MSK

Disease targeted

Vertebral compression fracture

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register

Other certifications

Not specified

Technical Specifications

Patient population age

Adult

Input

DICOM

Input format

DICOM

Output

2 sagittal DICOM slices with Intra & inter vertebral height loss, Color coding by Genant grade, Vertebra labeling, Mean Hounsfield Unit measurement

Output format

DICOM, PNG

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased

Deployment

Cloud-based, Hybrid solution, Locally virtualized (virtual machine, docker)

Trigger for analysis

Automatically, right after the image acquisition

Processing time

10 - 60 seconds

Population

Adults over 50 years

Market Presence

On market since

06-2025

AI Platforms

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

4

Pricing Information

Pricing model

Subscription

Based on

Number of analyses, Number of installations, Number of users

First published: Jul 22, 2025 | Last updated: May 11, 2026