QP-Prostate

Quibim

QP-Prostate is a medical imaging software that supports radiologists in the detection of clinically significant prostate cancer. It provides automatic lesion detection and risk scoring (High and Moderate) for the presence of csPCa. It also provides quantitative information, including prostate volume and dimensions, Apparent Diffusion Coefficient (ADC) map, computed high b-value and perfusion metrics (K trans, K ep, V e).
The information is compiled by the radiologist in a prostate structured report template based on PI-RADS guidelines.

Information source: Vendor
Last updated: January 30, 2024

General Information

General
Product name	QP-Prostate
Company	Quibim
Subspeciality	Abdomen
Modality	MR
Disease targeted	Prostate Cancer
Key-features	Lesion detection, prostate segmentation, PI-RADS 2.1 structured report
Suggested use	During: perception aid (prompting all abnormalities/results/heatmaps)

Technical Specifications

Data characteristics
Population	Male adult population. Exclusion: patients with endorectal coil, radical prostatectomy or hip prosthesis.
Input	T2w, DWI sequence, DCE (not needed for lesion detection)
Input format	DICOM
Output	Lesion detection overlay, prostate segmentation overlay, quantitative information (ADC, high b-value, Ktrans, Kep, Ve), structured report based on PI-RADS 2.1
Output format	DICOM SC
Technology
Integration	Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone webbased
Deployment	Cloud-based
Trigger for analysis	Automatically, right after the image acquisition
Processing time	1 - 10 minutes

Regulatory

Certification
CE	Certified, Class IIb , MDR
FDA	510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)	Medical imaging processing application intended for image processing and analysis of prostate MRI indicated for adult patients

Market

Market presence
On market since	CE/UKCA 10-2022. 510(k) clearance since 12-2020.
Distribution channels	Philips Healthcare
Countries present (clinical, non-research use)	10
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model	Subscription
Based on	Number of analyses

Evidence

Evidence
Peer reviewed papers on performance	Automated prostate multi-regional segmentation in magnetic resonance using fully convolutional neural networks (read)
Non-peer reviewed papers on performance
Other relevant papers	Automatic individual arterial input functions calculated from PCA outperform manual and population-averaged approaches for the pharmacokinetic modeling of DCE-MR images (read)