syngo.CT LVO Detection
Overview
syngo.CT LVO Detection is an AI-powered post-processing software designed to analyze CT angiography (CTA) head images. It assists clinicians in prioritizing cases by detecting suspected large vessel occlusions (LVO) in specific brain vessels, including the ICA, M1, and M2 segments. The software runs on the syngo.via platform and is intended to aid in triage, helping medical professionals manage stroke patients more efficiently. Its output is for informational purposes only and is not intended for standalone diagnostic use or to alter original medical images.
Performance testing demonstrated a sensitivity of 90.6% and specificity of 88.8% for LVO detection, with a median processing time of 42 seconds. The tool is designed for patients 22 years or older, without certain contraindications such as old infarcts, other diseases impacting brain vasculature (e.g., brain tumors), metal artifacts, or surgical signs in the images.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered post-processing software for CT angiography analysis
- Detects suspected large vessel occlusions (LVO) in ICA, M1, and M2 segments
- Supports computer-aided triage and case prioritization
- Runs on the Siemens syngo.via platform
- Provides output for informational purposes only, not for standalone diagnosis
- Does not alter original medical images
- Demonstrated high sensitivity (90.6%) and specificity (88.8%) in performance testing
- Fast processing time (median 42 seconds, under 110 seconds)
- Intended for patients 22 years or older without specific contraindications
Use Cases
- Prioritizing acute stroke cases based on suspected LVO detection
- Assisting clinicians in efficient management of stroke patients
- Facilitating early identification and notification of LVO to treatment teams
- Improving stroke workflow metrics and potentially accelerating treatment decisions
What Physicians Need to Know
Utilize syngo.CT LVO Detection as a critical AI-powered aid for rapid identification and prioritization of suspected large vessel occlusions in acute stroke patients. Remember that the tool provides informational support for triage and is not intended for standalone diagnosis; always integrate its findings with comprehensive clinical assessment and other imaging data. Leverage its speed to streamline workflow and facilitate quicker decision-making for potential thrombectomy candidates. Ensure seamless integration with your existing notification systems to maximize the benefit of early alerts.
syngo.CT LVO Detection operates on the syngo.via platform, Siemens Healthineers' advanced visualization and reporting solution. It is designed to integrate into existing CT workflows and can process images from various CT manufacturers. The system supports sending its output to external notification devices and integrates with Picture Archiving and Communication Systems (PACS) for automated result delivery. Siemens Healthineers also offers integrated solutions with partners on the syngo.via workstation, enhancing its ecosystem capabilities.
Details
| Category | Neurology AI, Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing | Contact for pricing — Contact vendor for detailed pricing information. |
| Deployment | Integrated within the syngo.via platform, typically deployed within hospital IT infrastructure (on-premise or hybrid). |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated syngo.CT LVO Detection received FDA 510(k) clearance (K243145) on April 10, 2025. It is cleared as a radiological computer-assisted triage and notification software for identifying suspected large vessel occlusions in CTA head images. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Neurology, Radiology |
What the Web Says
syngo.CT LVO Detection by Siemens Healthineers is an AI-powered software designed for the automated detection of large vessel occlusions (LVO) in contrast-enhanced CT scans of the head, primarily for patients suspected of acute ischemic stroke. It aims to assist radiologists in rapid detection and triage. The software has received FDA clearance and demonstrates high sensitivity and specificity in identifying LVOs, particularly in proximal vessels.
Overall: PositiveStrengths
- High sensitivity (90.6%) and specificity (88.8%) for LVO detection.
- Aids in reproducible detection of ICA, M1, and M2 vessel occlusions.
- Supports computer-aided triage in stroke cases.
- Demonstrated improved overall CTA report turnaround time in some studies.
- Performs well across various CT scanner manufacturers and image qualities.
- Potentially reduces the need for CTA and accelerates time to LVO diagnosis when used with NCCT.
Limitations
- Sensitivity for M2-occlusions is lower compared to proximal vessel occlusions, especially in conventional CT.
- May produce false positives, which could lead to alert fatigue or unnecessary transfers.
- Performance seems to be better with Photon Counting CT (PCCT) data compared to conventional CT.
- Some studies on similar tools have shown lower specificity, with concerns about false positives due to vascular asymmetry.
- The output does not highlight or direct the reading physician's attention to any specific portion of the image.
- Clinical outcomes were better in the pre-AI group for u0394NIHSS and NIHSS at discharge in one study, suggesting the need for further investigation into real-world impact on patient outcomes.
Based on reviews from: accessdata.fda.gov, ESR Connect, Innolitics, Radiology AI Tools Directory, Gob MX, American Heart Association Journals, PMC, Buyer shortlist
Last updated: 2026-07-19
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