Prostate MR on syngo.via

Siemens Healthineers

**Currently only available with Siemens Healthineers' syngo.via**
Siemens Healthineers Prostate MR on syngo.via supports prostate MRI reading and reporting. By deploying artificial intelligence, Prostate MR assists in the interpretation of multiparametric Prostate MRI. The deep neural networks of Prostate MR are designed to aid the detection and classification of prostate lesions and generate a pre-populated report.
The product is not commercially available in some countries, e.g. the US. Due to regulatory reasons the future availability cannot be guaranteed. Please contact your local Siemens Healthineers organization for further details.

Product specifications

Information source: Vendor
Last updated: Aug. 27, 2022

General
Product name	Prostate MR on syngo.via
Company	Siemens Healthineers
Subspeciality	Abdomen
Modality	MR
Disease targeted	Prostate cancer
Key-features	Prostate gland segmentation and volumetric assessment, lesion candidate localization and classification, suspicion map highlighting the lesion candidates, pre-populated PI-RADS report
Suggested use	During: perception aid (prompting all abnormalities/results/heatmaps), report suggestion, concurrent reading aid
Data characteristics
Population	Men with suspected cancer in treatment-naïve prostate glands
Input	Transversal T2-weighted image, low and high b-value DWI
Input format	DICOM
Output	Prostate gland and lesion contours, suspicion heatmap, structured report with volumetrics, PSA density and classification
Output format	DICOM, DICOM RT-STRUCT
Technology
Integration	Integration in Advanced Visualization and Post-Processing Platform
Deployment	Locally on dedicated hardware, Locally virtualized (virtual machine, docker)
Trigger for analysis	Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc., In pre-processing
Processing time	3 - 10 seconds
Certification
CE	Certified, Class IIa , MDD
FDA	No or not yet
Market presence
On market since	08-2020
Distribution channels	syngo.via
Countries present (clinical, non-research use)
Paying clinical customers (institutes)	>10
Research/test users (institutes)	>10
Pricing
Pricing model	Subscription
Based on	Number of analyses
Evidence
Peer reviewed papers on performance	A concurrent, deep learning – based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists (read) A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate: Results of a Multireader, Multicase Study. (read)
Non-peer reviewed papers on performance
Other relevant papers	False Positive Reduction using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans (read)