CT lung cancer diagnostics
Veolity LungRead
All-in-One Reading Solution for Chest CT
Veolity LungRead is designed to optimize the high-volume workflow in lung cancer screening programs. This advanced software enhances the efficiency of chest CT study interpretation, enabling rapid and accurate assessment of imaging data while supporting the highest standards of diagnostic quality. Its intuitive interface and automation capabilities reduce reading time and minimize errors, empowering radiologists to focus on critical clinical decisions.
Key features of Veolity
Fully Integrated Solid Pulmonary Nodule CAD
Each scan is processed with an FDA-approved CAD algorithm that highlights actionable nodules with high sensitivity and low false positives, providing radiologists with reliable decision support.
State-of-the-Art Reporting
Reports are structured using Lung-RADS and include all relevant findings over time, with summaries, risk assessments, and scores (e.g., emphysema and calcium) to support accurate clinical decisions.
Clinical Integration
Veolity is compatible with all major CT scanners and can scale from a standalone setup to a high-volume client-server system, ensuring seamless deployment into diverse clinical environments.
Highly Optimized Reading Workflow
Veolity streamlines the entire reading process, from preloading scans and organizing intelligent worklists to adaptive visual layouts that change based on diagnostic tasks, enabling fast, focused, and efficient case analysis.
One-Click Nodule Segmentation
With a single click, Veolity delivers precise automated measurements like diameter and 3D volume, validated on thousands of cases, while offering intuitive tools for quick manual adjustments if needed.
Seamless Integration of Prior Cases
Veolity automatically retrieves and aligns prior scans from PACS using advanced registration, allowing synchronized viewing and propagation of previous findings for comprehensive longitudinal analysis.
Veolity highlights
Automatic follow-up comparison
Integration of prior studies
Veolity provides instant comparison with follow-up cases. Prior fi ndings are automatically mapped to the current exam. Image viewing between current and prior studies is always synchronized and changes in nodule size are calculated.
Automatic nodule segmentation
Nodule Segamentaion
A simple double-click on a suspicious region automatically segments solid, part-solid, or non-solid nodules in a reproducible way, providing important information such as diameter and volume.
Fully integrated solid pulmonary nodule computer aided detection
CAD Mark
Veolity automatically marks regions that are suggestive of solid pulmonary nodules, helping radiologists to quickly identify regions that demand further analysis.
MeVis signifi cantly contributes to the early detection and diagnostics of cancer, thus facilitating an early and tailor-made treatment of the disease. In order to meet this challenge, MeVis develops innovative software for the analysis and processing of image data which is marketed to manufacturers of medical devices and IT-platforms.
Workflow efficiency
Workflow is optimized for fastand efficient reading, streamlined for high-throughput scenarios such as screening. The physician can concentrate on reading cases as all other data processing steps are automated.
Veolity supports the ACR LungRADSTM reporting and management recommendations scheme. The report automatically summarizes fi ndings of current and prior studies, shows crucial clinical indicators, and is fi nally sent to PACS or patient management systems.
