Lung CT

Rayscape

Rayscape's Lung CT solution helps radiologists identify lung nodules that have a diameter between 3-30 mm. The algorithms highlight the presence of nodules on each slice and, separately, measures the diameter and volume of the identified ones. Rayscape CT is also able to compare lung nodules characteristics between different investigations and to generate a report with their evolution.
Rayscape Lung CT identifies lesions caused by SARS-CoV2 infection and quantify them volumetrically.

*The company was previously named XVision, and the product CTXVISION

Information source: Vendor
Last updated: October 23, 2023

General Information

General
Product name	Lung CT
Company	Rayscape
Subspeciality	Chest
Modality	CT
Disease targeted	Lung cancer, COVID19
Key-features	Nodules detection, nodules localization, nodules measurements, volume calculation, diameter calculation, malignancy score, automatic comparison of nodules, SARS-Cov2, SARS-CoV2 lesion quantification
Suggested use	During: perception aid (prompting all abnormalities/results/heatmaps) After: diagnosis verification

Technical Specifications

Data characteristics
Population	Adults, clinical population and screening population.
Input	3D, contrast, non-contrast, multi-slice, single-slice, slice thickness <3mm
Input format	DICOM
Output	Nodules detection and localization overlay, table of calculated measurements, table with nodules evolution
Output format	DICOM GSPS, DICOM SR, DICOM SC
Technology
Integration	Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform
Deployment	Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis	Automatically, right after the image acquisition
Processing time	1 - 10 minutes

Regulatory

Certification
CE	Certified, Class I , MDD
FDA	No or not yet
Intended Use Statements
Intended use (according to CE)	The Rayscape software is intended to support professionally qualified radiologists or clinicians when interpreting a chest CT scan, by detecting pulmonary nodules.

Market

Market presence
On market since	05-2021
Distribution channels	Infinitt, deepcOS, Alma AI MARKETPLACE
Countries present (clinical, non-research use)	5
Paying clinical customers (institutes)	100
Research/test users (institutes)	6
Pricing
Pricing model	Pay-per-use, Subscription
Based on	Number of analyses

Evidence

Evidence
Peer reviewed papers on performance	Evidence of a cognitive bias in the quantification of COVID-19 with CT: an artificial intelligence randomised clinical trial (read)
Non-peer reviewed papers on performance	Artificial Intelligence in Computed Tomography - Lung Nodule Analysis Algorithm (read)
Other relevant papers	Medical Whitepaper Rayscape (read)