syngo.CT Lung CAD

Radiology

Contact for pricing
Regulatory Status Disclosed

Overview

syngo.CT Lung CAD (Computer Aided Detection) is a fully automated computer-assisted tool designed to assist radiologists in the detection of solid and subsolid pulmonary nodules during the review of multi-detector computed tomography (MDCT) examinations of the chest. It functions as an adjunctive tool, highlighting regions of interest (ROI) that may otherwise be overlooked by the radiologist. The software processes thoracic CT examinations, capable of detecting solid pulmonary nodules ranging from 3.0 mm to 30.0 mm and subsolid nodules from 5.0 mm to 30.0 mm in average diameter. It is compatible with multi-detector CT scanners with 16 or more detector rows. syngo.CT Lung CAD integrates seamlessly with hosting applications like syngo.via’s Findings Navigator or Syngo MM Oncology, where CAD marks are displayed on the input CT images to facilitate review. It can be utilized as a concurrent first reader, followed by a full review by the radiologist, or as a second reader after the radiologist’s initial assessment. Additionally, it offers a “solid-only” mode to filter out suspected sub-solid or fully calcified CAD findings for focused analysis.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Fully automated computer-assisted detection (CAD) tool
  • Assists radiologists in detecting solid and subsolid pulmonary nodules
  • Highlights regions of interest (ROI) that may be overlooked
  • Detects solid nodules from 3.0 mm to 30.0 mm and subsolid nodules from 5.0 mm to 30.0 mm
  • Compatible with multi-detector CT scanners (16+ detector rows)
  • Integrates with Siemens syngo.via's Findings Navigator and Syngo MM Oncology
  • Supports use as a concurrent first reader or a second reader
  • Includes a 'solid-only' mode to filter out sub-solid or calcified CAD findings
  • Utilizes convolutional neural networks (CNN) for nodule detection and classification
  • Detects nodules with various locations (central, peripheral) and contours (round, irregular)

Use Cases

  • Assisting radiologists in the primary review of chest CT examinations for pulmonary nodules
  • Serving as a second reader to enhance detection accuracy of lung nodules in CT scans
  • Improving workflow efficiency for lung nodule detection and reporting in radiology departments
  • Supporting early detection and follow-up of lung cancer through enhanced nodule identification (implied)

What Physicians Need to Know

Key Capabilities
syngo.CT Lung CAD is a fully automated computer-assisted second reader tool designed to detect solid and subsolid pulmonary nodules in chest CT examinations. It identifies nodules ranging from 3.0 mm to 30.0 mm (solid) and 5.0 mm to 30.0 mm (subsolid), including round, irregular, central, and peripheral types. The system automatically pre-processes and marks potential lesions, and includes a 'solid-only' mode to filter out sub-solid or fully calcified findings. It leverages convolutional neural networks (CNN) for detection and classification.
Clinical Utility
This AI tool assists radiologists by highlighting regions of interest that might otherwise be overlooked, thereby enhancing reading efficiency and potentially improving patient outcomes in thoracic imaging. It can be utilized as either a concurrent first reader or a second reader after the radiologist's initial assessment. Studies indicate it improves nodule detection sensitivity, even with ultralow-dose CT scans, and has demonstrated a reduction in missed actionable nodules.
Integration Options
syngo.CT Lung CAD integrates seamlessly into hosting applications like syngo.via and syngo MM Oncology, where CAD marks are displayed. Results are automatically pre-processed when CT datasets are sent to syngo.via and presented in its Findings Navigator. With Rapid Results Technology, CAD findings are immediately available in the PACS environment. It is compatible with multi-detector CT scanners (16 or more detector rows recommended).
Compliance Status
The device is FDA-cleared (Premarket Authorization), classified as a Class II medical device. The latest version (VD30) received FDA premarket authorization on July 19, 2023, with previous versions also having received clearance.
Pricing Model
Specific pricing models are not publicly disclosed and are typically handled by local Siemens representatives. While some syngo.via applications may offer flexible subscription options, this is not explicitly stated for syngo.CT Lung CAD.
User Experience
The tool is designed to streamline workflow by automatically pre-processing and marking potential lesions, with results presented in syngo.via's Findings Navigator for efficient review and reporting. The software itself is an algorithm that integrates into a hosting application for displaying CAD marks, aiming for a seamless user experience within the syngo.via platform.
Support Quality
While specific details on support quality are not publicly available, as a Siemens Healthineers product, it is backed by vendor support, with local representatives clarifying system requirements and providing assistance.
Implementation Complexity
Implementation involves integration into a hosting application like syngo.via, with potential additional technical prerequisites clarified by a local Siemens representative. The system is compatible with modern multi-detector CT scanners. For integrated apps within syngo.via, a 'one-click installation on a central server' suggests a relatively straightforward deployment process.
Evidence Base
syngo.CT Lung CAD is built upon proprietary image processing and pattern recognition algorithms, including Convolutional Neural Networks (CNN), trained on extensive thoracic CT study databases. Performance testing, including retrospective evaluations on hundreds of cases, has demonstrated non-inferior sensitivity and significantly lower false positives compared to previous versions. Studies consistently show improved identification of lung nodules, independent of CT technique or reader experience, and a reported 26% reduction in missed actionable nodules.
Physician Tip

Utilize syngo.CT Lung CAD as an adjunctive tool, either as a concurrent first reader or a second reader, to enhance the detection of both solid and subsolid pulmonary nodules, especially in high-volume settings or for subtle findings. Leverage its 'solid-only' mode for focused analysis when appropriate. Remember that while the AI highlights regions of interest, the final diagnostic interpretation remains with the radiologist. Integrate its findings within the broader clinical context and patient history for comprehensive care.

syngo.CT Lung CAD is designed for tight integration within the Siemens Healthineers ecosystem, primarily with syngo.via and syngo MM Oncology for visualization and workflow management. Its ability to deliver results directly to PACS via Rapid Results Technology is crucial for seamless incorporation into existing radiology workflows. Ensure your CT scanners meet the specified multi-detector row requirements for optimal performance and compatibility.

Details

Category Oncology AI, Radiology & Imaging AI
Pricing Contact for pricing Quote-based
DeploymentOn-premise (integrated with Siemens imaging systems)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status 1 AI-estimated

syngo.CT Lung CAD (Version VD30) received FDA premarket authorization (K231157) on July 19, 2023. It is classified as a Class II medical device (Product Code OEB) under 21 CFR 892.2050, intended for computer-aided detection of pulmonary nodules in multi-detector CT examinations of the thorax.

Integrations
EHR Not specified
Specialties Radiology

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Press & Coverage

Medical News Observer
syngo.CT Lung CAD Device - Medical News Observer
The syngo.CT Lung CAD device is a Computer-Aided Detection (CAD) tool from Siemens Healthcare GmbH designed to assist radiologists in identifying solid and subsolid pulmonary nodules during chest CT exams. It received FDA premarket authorization on July 19th, 2023, with its VD30 iteration showing superior accuracy to its predecessor.
2024-01
X-ray Interpreter (FDA Radiology AI Device)
syngo.CT Lung CAD (Version VD30) | FDA Radiology AI Device - X-ray Interpreter
This article details the FDA approval of syngo.CT Lung CAD (Version VD30) on July 19, 2023. The software uses convolutional neural networks (CNN) to detect pulmonary nodules and can operate as a first or second reader, including a 'solid-only' mode.
2023-07
FDA
510(k) Premarket Notification - FDA (K231157)
This is the official FDA 510(k) Premarket Notification for syngo.CT Lung CAD (Version VD30) from Siemens Healthcare GmbH, cleared on July 19, 2023. It outlines the regulatory information, including the classification product code OEB and the applicant contact.
2023-07
MDPI (International Journal of Translational Medicine)
The Effects of Artificial Intelligence Assistance on the Radiologists' Assessment of Lung Nodules on CT Scans: A Systematic Review - MDPI
This systematic review from May 2023 discusses the effects of AI assistance, including Syngo.CT Lung CAD, on the detection and malignancy prediction of lung nodules on CT scans. It generally found that radiologists achieved higher sensitivity with AI assistance, with only a slight increase in false positives.
2023-05
AJR Online
Performance of Lung Nodule Computer-Aided Detection Systems on Standard-Dose and Low-Dose Pediatric CT Scans: An Intraindividual Comparison - AJR Online
A May 2024 study examined the performance of lung nodule CAD systems, including syngo.CT Lung CAD VD20, on pediatric chest CT scans. It found no decrease in diagnostic performance at simulated doses as low as 50% of the standard dose.
2024-05
PMC (MDPI)
Accuracy of Ultra-Fast Low-Field MRI (0.55 T) for Lung Nodule Detection with Ultra-Short Echo Time Sequences - PMC
This November 2025 article discusses the use of computer-aided detection (CAD), specifically syngo.CT Lung CAD, as an additional evaluation tool to enhance the detection rate of lung nodules in MRI scans. It highlights the importance of reliable detection and characterization of lung lesions.
2025-11
Siemens Healthineers
syngo.CT Lung CAD - Siemens Healthineers
This page from Siemens Healthineers describes syngo.CT Lung CAD as a fully automated computer-assisted second reader tool designed to help radiologists detect solid pulmonary nodules in chest CT examinations. It integrates with syngo.via for automatic pre-processing and presentation of findings.
unknown
Quibim Website
AI-powered CAD: Integrating intelligent analysis into routine healthcare - Quibim Website
This article discusses AI-powered Computer-Aided Detection (CADe) systems, including Siemens' Syngo CT Lung CAD, highlighting their role in enhancing diagnostic precision by reducing interpretation errors and improving lesion detection and characterization. It emphasizes the clinical value of CADe/CADx systems in refining decision-making.
unknown

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Suggest an Edit → | Last Verified: 2026-04-20 | First Added: 2026-04-20
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