Textures analysis

QUIBIM

QUIBIM has developed a non-invasive post-processing application to quantify several features related to the heterogeneity of a lesion, which can be considered as indicators of tumor aggressiveness. The extracted parameters can be classified as First Order, if they are obtained directly from the histogram, such as kurtosis and skewness, or Second Order, if they are obtained from other techniques, such as correlation, entropy, contrast and homogeneity.
Product specifications Information source: Vendor
Last updated: March 10, 2020
General
Product name Textures analysis
Company QUIBIM
Subspeciality Neuro, MSK, Chest, Abdomen, Breast
Modality X-ray, CT, MR, PET, US, SPECT
Disease targeted Fibrosis, Solid tumors, Multiple myeloma, Aggressive lymphoma, Prostate cancer, rectal cancer and breast cancer, Osteoporosis, Osteopenia, Osteoarthritis, Sport-related diseases
Key-features Quantification, Radiomics, imaging biomarker discovery
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 For information on heterogeneity of tissues
Input
Input format
Output One-page structured report: statistical correlation of the cell populations (differentiation grades, proliferation and treatment response)
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) 2
Paying clinical customers (institutes) 5+
Research/test users (institutes)
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 Carles M, Torres-Espallardo I, Alberich-Bayarri A, Olivas C, Bello P, NestleU, MartĂ­-BonmatĂ­ L. Evaluation of PET texture features with heterogeneous phantoms: complementarity and effect of motion and segmentation method. Phys Med Biol. 2017 Jan 21;62(2):652-668.