Perfusion - Pharmacokinetics modeling

QUIBIM

QUIBIM extracts different vascular-based imaging biomarkers which are based on the quantitative pharmacokinetic assessment of Dynamic Contrast-Enhanced Magnetic Resonance Images (DCE-MRI). A representative example of a parameters is the vascular permeability. High values usually correspond to malignant changes associated to an increased tumor neoangiogenesis activity and aggressiveness. If proven, this approach can be useful to classify tumor in phenotypes with different biological behaviour.
Product specifications Information source: Vendor
Last updated: March 10, 2020
General
Product name Perfusion - Pharmacokinetics modeling
Company QUIBIM
Subspeciality Abdomen, Breast
Modality MR
Disease targeted solid tumors, prostate cancer, rectal cancer and breast cancer, glioblastoma, multiple myeloma, aggressive lymphoma
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
FDA No or not yet
Market presence
On market since 01-2019
Distribution channels
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.