MI View&GO
Siemens Medical Solutions USA, Inc. • Radiology • 08/19/2022
Device Purpose
MI View&GO VA20A is an advanced medical image management and processing software designed to enhance clinical workflows by enabling comprehensive review, post-processing, and analysis of PET, SPECT, CT, and MR images directly at the scanner console. It achieves this through a suite of integrated tools and new features like 'Auto Lung 3D' and 'Interactive Spectral Imaging Plugin' to support diagnosis, disease management, and radiotherapy planning.
Summary
MI View&GO VA20A is a software-only medical device intended for use with Siemens SPECT/CT and PET/CT scanners, providing capabilities for handling PET, SPECT, CT, and MR data directly at the acquisition console. Its purpose is to enable technologists and reading physicians to review acquired images, determine data quality, prepare images for reading, and perform basic reads immediately after acquisition. The system supports viewing, manipulation, quantification, analysis, and comparison of medical images across one or more time-points, aiding trained healthcare professionals in the management of diseases related to oncology, cardiology, neurology, and organ function, as well as assisting in radiotherapy treatment planning. The VA20A version introduces several modifications and new features, including 'Auto Lung 3D', 'Gaussian Filter', 'FAST Ranges Enhancements', 'Automatic Layout Enhancements', and 'Open Apps'. It also incorporates shared software component tools like 'Tools Export Tool', 'TimeCurve', and 'Segmentation Tools', along with CT plugins such as 'Oncology Extension Plugin', 'Interactive Spectral Imaging Plugin', and 'Sim&GO Plugin'. Further enhancements include layout and user interface improvements like 4D support in all layouts, dual monitor widescreen layouts for satellite consoles, gated data display, customizable image text, and updated default windowing. These features are built upon the technological characteristics of its predicate devices, MI View&GO VA10A and syngo.via MI Workflows VB60A, without altering the fundamental technology.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the 'Auto Lung 3D' feature quantitatively improve lung volume assessment or lesion detection compared to previous manual or semi-automated methods?; What specific algorithms are employed by the 'Gaussian Filter' and how has its application been optimized for PET, SPECT, CT, and MR modalities within MI View&GO VA20A?; Can the 'Interactive Spectral Imaging Plugin' be utilized for material decomposition or beam hardening correction, and what is its impact on CT image quality and diagnostic information?; What are the performance metrics (e.g., processing time, accuracy) for the new 'Segmentation Tools' when applied to various anatomical structures in oncology, cardiology, or neurology studies?; How do the 'FAST Ranges Enhancements' and 'Automatic Layout Enhancements' specifically improve the efficiency or accuracy of image review and interpretation for reading physicians, particularly in high-volume settings?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement
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.
Supply Chain BOM Evidence
Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.
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 detected in AI-generated device summary.
• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.
• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.
• Not detected in AI-generated device summary: SaaSBOM, HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.
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