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.
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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