ClearRead CT

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ClearRead CT

ClearRead CT, AI-Driven Clarity for Faster, More Confident Nodule Detection

ClearRead CT enables clinicians to see more actionable data on every chest CT for improved reading accuracy while decreasing search and interpretation time.* Powered by Clear Visual IntelligenceTM, it suppresses vessels for an unimpaired view of the chest with tools to detect, segment and measure pulmonary nodules.

Why ClearRead CT?

Produces a vessel suppressed image within the existing PACS workflow

FDA cleared for concurrent reading

Supports visualization of nodules on low-dose, non-contrast and contrast CT exams.

Provides differential nodule measurements including location, type, volume, maximum, minimum, average axial plane diameters, and nodule depth

Automatically detects all nodule types (solid, part-solid, ground glass) at or above 5mm

Automatic quantification of findings is sent to PowerScribe.

Automatically compare nodule findings to prior exams for efficient visual and volumetric comparisons

Enterprise-wide capability on every CT device

ClearRead CT Vessel Suppress

29% More Nodules

ClearRead CT Vessel Suppress produces a secondary series of CT images, suppressing vessels and other normal structures within the lungs to improve conspicuity of all nodule types, including solid, sub-solid and ground glass nodules. The Vessel Suppress series gives users access to a truly unique and patented technology that aids in improved reading accuracy and efficiency. It seamlessly integrates in the PACS workflow as an additional series in the patient study without the need for a separate application viewer.

ClearRead CT Detect

26% Faster Reads

ClearRead CT Detect first leverages the Vessel Suppressed series to automatically detect, segment, and measure regions of interest to easily and quickly make informed decisions about pulmonary nodules. Findings are automatically integrated into the radiology report.

ClearRead CT Compare

Fast and Easy Nodule Comparison

ClearRead CT Compare extends Detect by automatically matching nodules found in a current exam to the same nodule in a prior exam, enabling efficient visual and volumetric comparisons.

Trusted By

Footnotes

* Lo, S. B., Freedman, M. T., Gillis, L. B., White, C. S., & Mun, S. K. (2018). JOURNAL CLUB: Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function. American Journal of Roentgenology, 210(3), 480–488. doi: 10.2214/ajr.17.18718.