QUANTIB® Prostate


The artificial intelligence-based software, Quantib® Prostate, provides a workflow for detection of abnormalities on MRI prostate scans.
Product specifications Information source: Vendor
Last updated: Feb. 23, 2023
Product name QUANTIB® Prostate
Company Quantib
Subspeciality Abdomen
Modality MR
Disease targeted Prostate cancer
Key-features Prostate gland and zone volume measurements, PSA density calculation, AI-supported ROI segmentation, PI-RADS v.2.1 scoring support, structured report
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), report suggestion
Data characteristics
Population Prostate MRI scans with suspicion of prostate cancer
Input MRI, T2, DWI, DCE (optional)
Input format DICOM
Output Segmentation overlays, segmentation series, a structured report with key images and PI-RADS
Output format DICOM
Integration Integration in standard reading environment (PACS), DICOM-based integration via own zero footprint AI platform
Deployment Locally on dedicated hardware, Cloud-based
Trigger for analysis Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time 1 - 10 minutes
Certified, Class IIb , MDR
510(k) cleared, Class II
Market presence
On market since 10-2020
Distribution channels Bayer Calantic Digital Solutions
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model Pay-per-use, Subscription
Based on Number of installations, Number of analyses
Peer reviewed papers on performance

  • Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers (read)

  • Quantib Prostate Compared to an Expert Radiologist for the Diagnosis of Prostate Cancer on mpMRI: A Single-Center Preliminary Study (read)

  • Biparametric prostate MRI: impact of a deep learning-based software and of quantitative ADC values on the inter-reader agreement of experienced and inexperienced readers (read)

Non-peer reviewed papers on performance
Other relevant papers