IB Neuro

Imaging Biometrics

MR Dynamic Susceptibility Contrast (DSC) perfusion imaging. Automated generation of quantitative perfusion parameter maps, without the need of manual drawing of reference tissue normalization ROIs. DSC perfusion MRI is used for assessment of tumors before, during, and after therapy to distinguish between tumor regrowth and normal treatment effects.

Information source: Vendor
Last updated: June 6, 2024

General Information

General
Product name	IB Neuro
Company	Imaging Biometrics
Subspeciality	Neuro
Modality	CT, MR
Disease targeted	Brain tumors, stroke
Key-features	Automated quantification of DSC perfusion parameters
Suggested use

Technical Specifications

Data characteristics
Population	All MR and CT neuro perfusion exams
Input	GRE-EPI
Input format	DICOM
Output	RGB, monochrome (quantitative), fused overlays, automated AIF information, and reporting of DSC parameter maps
Output format	Quantitative DICOM
Technology
Integration	Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application, Plugin application to OsiriX environments
Deployment	Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based, Hybrid solution
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	3 - 10 seconds

Regulatory

Certification
CE	Certified, Class I , MDD
FDA	510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)

Market

Market presence
On market since	05-2018
Distribution channels	Eureka Clinical AI, QMENTA, Blackford Analysis, Medimsight, CorTechs Labs, Tempus Pixel, aycan Medical Systems, Pixmeo, Calantic
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model	Pay-per-use, Subscription, One-off payment with service contract
Based on	Number of installations, Number of analyses

Evidence

Evidence
Peer reviewed papers on performance	How to evaluate perfusion imaging in post-treatment glioma: a comparison of three different analysis methods (read) Arterial Spin-Labeling and DSC Perfusion Metrics Improve Agreement in Neuroradiologists’ Clinical Interpretations of Posttreatment High-Grade Glioma Surveillance MR Imaging—An Institutional Experience (read) DSC Perfusion MRI – Derived Fractional Tumor Burden and Relative CBV Differentiate Tumor Progression and Radiation Necrosis in Brain Metastases Treated with Stereotactic (read) Standardization of relative cerebral blood volume (rCBV) image maps for ease of both inter- and intrapatient comparisons (read) Comparison of dynamic susceptibility-weighted contrast-enhanced MR methods: recommendations for measuring relative cerebral blood volume in brain tumors (read) Dynamic-susceptibility contrast agent MRI measures of relative cerebral blood volume predict response to bevacizumab in recurrent high-grade glioma (read) Longitudinal DSC-MRI for Distinguishing Tumor Recurrence From Pseudoprogression in Patients With a High-grade Glioma (read) Dynamic susceptibility contrast MRI measures of relative cerebral blood volume as a prognostic marker for overall survival in recurrent glioblastoma: results from the ACRIN 6677/RTOG 0625 multicenter trial (read) Impact of software modeling on the accuracy of perfusion MRI in glioma (read) Spatial Discrimination of Glioblastoma And Treatment Effect With Histologically-Validated Perfusion And Diffusion Magnetic Resonance Imaging Metrics (read) Quantitative Delta T1 (dT1) as a Replacement for Adjudicated Central Reader Analysis of Contrast-Enhancing Tumor Burden: A Subanalysis of the American College of Radiology Imaging Network 6677/Radiation Therapy Oncology Group 0625 Multicenter Brain Tumor Trial (read) Impact of software modeling on the accuracy of perfusion MRI in glioma (read) Performance of Standardized Relative CBV for Quantifying Regional Histologic Tumor Burden in Recurrent High-Grade Glioma: Comparison against Normalized Relative CBV Using Image-Localized Stereotactic Biopsies (read)
Non-peer reviewed papers on performance
Other relevant papers	Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas Neuro-Oncology (read) Repeatability of Standardized and Normalized Relative CBV in Patients with Newly Diagnosed Glioblastoma (read) Moving Toward a Consensus DSC-MRI Protocol: Validation of a Low Flip Angle Single Dose Option as a Reference Standard for Brain Tumors (read)