Perfusion pharmacokinetics modeling
Quibim
Product specifications |
Information source:
Vendor
Last updated: Feb. 11, 2022 |
General | |
---|---|
Product name | Perfusion pharmacokinetics modeling |
Company | Quibim |
Subspeciality | Abdomen |
Modality | MR |
Disease targeted | Solid tumors, Prostate cancer, Rectal cancer, Endometrial cancer, Liver cancer |
Key-features | Ktrans, Fractional volume of extra vascular extracellular space, Suggested use of software (before, during or after study assessment), time constant for gadolinium reflux from the EES back into the vascular system |
Suggested use | During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), Need to draw ROI |
Data characteristics | |
Population | Patients under pharmaceutical treatment for an anomaly or tumor |
Input | MRI DSC-MR (Dynamic Susceptibility Contrast) |
Input format | |
Output | One-page structured report: parametric maps, histograms and statistics summary of the rate of gadolinium influx from plasma into the EES (ktrans), time constant for gadolinium reflux (kep) and volume fraction of the EES (ve) |
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 after drawing ROI |
Processing time | > 10 minutes |
Certification | |
CE
|
Certified,
Class IIa
, MDD
|
FDA
|
No or not yet |
Market presence | |
On market since | 01-2019 |
Distribution channels | Alma HEALTH PLATFORM |
Countries present (clinical, non-research use) | 10 |
Paying clinical customers (institutes) | 5+ |
Research/test users (institutes) | 15+ |
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 | Martí-Bonmatí L, Ramírez-Fuentes C, Alberich-Bayarri Á, Ruiz-Llorca C. State-of-the-art of bone marrow imaging in multiple myeloma. Curr Opin Oncol. 2015 Nov; 27(6): 540-50. Sanz-Requena R, Prats-Montalbán JM, Martí-Bonmatí L, Alberich-Bayarri Á, García-Martí G, Pérez R, Ferrer A. Automatic individual arterial input functions calculated from PCA outperform manual and population-averaged approaches for the pharmacokinetic modeling of DCE-MR images. J Magn Reson Imaging. 2015 Aug; 42(2): 477-87. |