| General |
| Product name |
Cartilage T2 Mapping |
| Company |
QUIBIM |
| Subspeciality |
MSK |
| Modality |
MR |
| Disease targeted |
Osteoarthritis, Inflammatory disease, Cartilage quality, Degenerative disease, Sports-related diseases and conditions |
| Key-features |
Automatic cartilage segmentation, T2 Values |
| Suggested use |
Without interference of a radiologist: AI-only diagnosis |
| Data characteristics |
| Population |
Patients with degenerative or inflammatory diseases of the joints |
| Input |
MR 3D T2 Gradient Echo with high contrast between bone and cartilage
T2 Multi-echo |
| Input format |
|
| Output |
One-page structured report: 3D reconstruction of the femoral cartilage, T2 cartilage histogram, T2 values per parcel |
| Output format |
DICOM Secondary Capture / PDF |
| Technology |
| Integration |
Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased |
| Deployment |
Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based, Hybrid solution |
| Trigger for analysis |
Automatically, right after the image acquisition |
| Processing time |
1 - 10 minutes |
| Certification |
| CE |
Certified, Class IIa
|
| FDA |
No or not yet
|
| Market presence |
| On market since |
01-2019 |
| Distribution channels |
|
| Countries present (clinical, non-research use) |
2 |
| Paying clinical customers (institutes) |
5+ |
| Research/test users (institutes) |
<5 |
| Pricing |
| Pricing model |
License |
| Based on |
Number of installations, Number of analyses |
| Evidence |
| Peer reviewed papers on performance |
|
| Non-peer reviewed papers on performance |
|
| Other relevant papers |
|
