ClearRead CT - Detect

Riverain Technologies

Riverain’s CT Detect technology provides measurements for each detected region of interest including location, type, volume, maximum, minimum, average axial plane diameters, and nodule depth. All nodule types are detected (solid, part-solid, ground glass) at or above 5mm.

Information source: Vendor
Last updated: April 19, 2022

General Information

General
Product name	ClearRead CT - Detect
Company	Riverain Technologies
Subspeciality	Chest
Modality	CT
Disease targeted	Lung cancer
Key-features	Lung nodule detection, automated measurements of nodule diameter, depth, volume
Suggested use	During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand)

Technical Specifications

Data characteristics
Population	Adult population, not cleared for pediatric use.
Input	Multi-slice axial scan
Input format	DICOM
Output	Marked images with measurements
Output format	DICOM
Technology
Integration	Integration in standard reading environment (PACS)
Deployment	Locally on dedicated hardware, Locally virtualized (virtual machine, docker)
Trigger for analysis	Automatically, right after the image acquisition
Processing time	1 - 10 minutes

Regulatory

Certification
CE	Certified, Class IIa , MDR
FDA	510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)	ClearRead CT is comprised of computer assisted reading tools designed to aid the radiologist in the detection of pulmonary nodules during review of CT examinations of the chest on an asymptomatic population. The ClearRead CT requires both lungs be in the field of view. ClearRead CT provides adjunctive information and is not intended to be used without the original CT series.

Market

Market presence
On market since	11-2015
Distribution channels	Nuance, Sectra Amplifier Store, Aidoc aiOS, GE Healthcare Edison platform, Eureka Clinical AI Platform, Philips AI Marketplace, Agfa PACS, Blackford Marketplace, Fuji PACS, Change HC PACS, Calantic
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model	Subscription
Based on	Number of analyses

Evidence

Evidence
Peer reviewed papers on performance	Artificial intelligence-based vessel suppression for detection of sub-solid nodules in lung cancer screening computed tomography (read) Vessel suppressed chest Computed Tomography for semi-automated volumetric measurements of solid pulmonary nodules (read) JOURNAL CLUB: Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function (read) All papers are available here
Non-peer reviewed papers on performance	Case Studies
Other relevant papers