Medscape Medical NewsAll articles

SOMATOM go.Up; SOMATOM go.Now; SOMATOM go.All; SOMATOM go.Top; SOMATOM go.Sim; SOMATOM go.Open Pro; SOMATOM X.cite; SOMATOM X.ceed

Siemens Medical Solutions USA, Inc. • Radiology • 03/26/2024

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

The Siemens SOMATOM go. and X. Platform CT systems, utilizing a single rotating X-ray tube-detector and the SOMARIS/10 syngo CT VB10 software, are designed to produce high-quality cross-sectional images for a broad range of diagnostic and therapeutic applications. These systems incorporate advanced hardware like the FAST 3D camera and software features such as ZeeFree artifact reduction and myNeedle Guide to enhance image quality, workflow efficiency, and support for interventional procedures, with performance validated through rigorous non-clinical testing.

Summary

The Siemens SOMATOM go. Platform and SOMATOM X. Platform are Computed Tomography (CT) X-ray systems designed to generate and process cross-sectional images of patients for diagnostic, treatment, and radiation therapy planning purposes, including low-dose lung cancer screening and aid in therapeutic interventions. These single-source, fan-beam systems utilize a continuously rotating tube-detector assembly (featuring Stellar, StellarInfinity, Chronon, Athlon, or Vectron technologies depending on the model) and produce DICOM-format images. The core functionality is managed by the SOMARIS/10 syngo CT VB10 software, a command-based platform for patient and data management, scan control, image reconstruction (including iterative methods like ADMIRE, SAFIRE, iMAR), and image evaluation, with interfaces for various post-processing applications. Key system features include advanced detector technology, tin filtration, DirectDensityTM, and workflow enhancements like Scan&GO with mobile tablet operation. The new software version, syngo CT VB10, builds upon the previous VA40 version by introducing and modifying several hardware and software functionalities across the various SOMATOM models. Notable updates include an enhanced FAST 3D Camera for automated patient positioning, ZeeFree for reducing breath-hold related image artifacts, myNeedle Guide with AI-based needle detection for interventional procedures, DirectBreathhold for synchronized scanning with external gating devices, and updates to myExam Companion and Recon&GO for improved workflow and reconstruction. Non-clinical performance testing, including phantom studies and bench tests, verified the accuracy and efficacy of these modifications. For instance, the FAST 3D camera demonstrated comparable positioning accuracy, ZeeFree effectively reduced artifacts without degrading image quality, and myNeedle Detection achieved a high success rate in identifying needle tips, thereby streamlining interventional workflows.

AI Regulatory Concerns

Powered byJev by TypeSafe AI

Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

Keywords

Computed TomographyX-ray SystemImage Reconstructionsyngo CT VB10Diagnostic ImagingRadiation Therapy PlanningLow-Dose Lung ScreeningFAST 3D CameramyNeedle GuideZeeFree

Device Metadata

Submission Number
K233650
Company
Siemens Medical Solutions USA, Inc.
Panel
Radiology
Product Code
N/A
Data Type
Images
Clinical Function
Assessment
AI Function
Analysis
AI Subclass
quantification/feature localization

Relevant Clinical Questions

  • Q1. What is the quantitative impact of the ZeeFree software feature on image noise and spatial resolution compared to standard reconstruction techniques in clinical cardiac imaging scenarios with varying degrees of patient motion?; How does the accuracy of the myNeedle Guide's automatic needle detection algorithm (90.76% in bench tests) translate to diverse clinical settings, particularly with different needle types, patient anatomies, and imaging protocols?; What are the specific improvements in workflow efficiency (e.g., time savings, reduction in operator steps) attributed to the 'FAST Integrated Workflow' and 'myExam Companion' modifications in the syngo CT VB10 software across different SOMATOM platform models?; Can the DirectDensityTM feature, which provides relative electron and mass density, be reliably used for quantitative material decomposition or tissue characterization beyond standard Hounsfield units, and how does it compare to dual-energy CT approaches on these single-source systems?; Given the introduction of the 'Multi-Purpose Table (Vitus)' with an extended gantry-table distance for some SOMATOM X. Platform models, what is the impact on scatter radiation profiles and overall image quality, especially for larger patients or when using ancillary equipment in interventional procedures?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Post-§524B but no clear network capability detected

Learn how Parasoft automates IEC 62304 compliance testing →

Cybersecurity Evidence

Powered by SBOMator™

Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.

Cyber Score40/100
SBOM Evidence✓ Detected in Summary
Cyber Risk Assessment⚠ Not in summary - likely in full submission per §524B
Postmarket Plan⚠ Not in summary - likely in full submission per §524B
§524B ApplicableYes

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials(software version)
✓ Detected
ML-BOMMachine Learning Bill of Materials(algorithm)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials(platform)
✓ Detected
HBOMHardware Bill of Materials(hardware, camera)
✓ Detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials
- Not detected

Analysis:

• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.

• Evidence of SBOM, ML-BOM, SaaSBOM, HBOM detected in AI-generated device summary.

• Cybersecurity risk assessment not referenced in AI-generated device summary. FDA cybersecurity guidance (2023) expects this for cyber devices.

• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.

• Not detected in AI-generated device summary: CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.

Preparing a similar submission?

ESL takes complete ownership of your software evidence work - SBOM & CVE remediation with SBOMator™, static analysis & unit testing with Parasoft, traceability, and full IEC 62304 lifecycle support.

Assess Your Readiness →Or contact ESL directly
SOMATOM go.Up; SOMATOM go.Now; SOMATOM go.All; SOMATOM go.Top; SOMATOM go.Sim; SOMATOM go.Open Pro; SOMATOM X.cite; SOMATOM X.ceed - Siemens Medical Solutions USA, Inc. | ESL FDA AI Device Intelligence