Body Diffusion Weighted Imaging (DWI) - ADC

QUIBIM

QUIBIM has developed a noninvasive post-processing application designed to calculate the water molecules diffusivity in tissues. This module calculates ADC (Apparent Diffusion Coefficient) from two b-values diffusion MR imaging by applying the mono-exponential model of the diffusion signal. The diffusion coefficients (ADC) is decreased in regions with high cellularity and restricted intersticial space.
Product specifications Information source: Vendor
Last updated: March 10, 2020
General
Product name Body Diffusion Weighted Imaging (DWI) - ADC
Company QUIBIM
Subspeciality Abdomen, Breast
Modality MR
Disease targeted Solid tumors, Prostate cancer, Rectal cancer, Breast cancer, Multiple myeloma, Aggressive lymphoma
Key-features ADC Map, Histogram, Volume of smallest bvalue, values of ADC parameters
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand)
Data characteristics
Population Detecting changes in the microstructure of the tissue and performing early diagnosis and evaluation of treatment response
Input MRI DWI
Input format
Output One-page structured report: ADC map, histogram, volumes corresponding to smallest and largest bvalue, statistics summary
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 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) 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.