MI View&GO
Siemens Medical Solutions USA, Inc. • Radiology • 08/30/2024
Device Purpose
MI View&GO VA30 is an advanced software-only medical device that enhances molecular imaging workflows by providing tools for viewing, manipulating, quantifying, and analyzing multimodal medical images (PET, SPECT, CT, MR) directly at the acquisition console. It is intended for use by trained healthcare professionals to aid in disease management across oncology, cardiology, and neurology, and to support radiotherapy treatment planning through newly incorporated features and improved image handling capabilities.
Summary
MI View&GO VA30 is a software-only medical device designed to operate with Siemens SPECT/CT and PET/CT scanners, offering advanced capabilities for processing and analyzing molecular and anatomical medical images directly at the acquisition console. Its core function is to enhance clinical efficiency by allowing healthcare professionals to immediately review, post-process, and conduct initial readings of PET, SPECT, CT, and MR images post-acquisition, thereby facilitating rapid assessment of image quality, preparation for detailed interpretation, and aiding in the management of conditions in oncology, cardiology, neurology, and general organ function. The system utilizes a server/client architecture and supports a range of workflow activities including image preprocessing, evaluation, reading, reporting, and storage. The device processes functional data from modalities like PET and nuclear medicine (NM), alongside anatomical data from CT and MR, enabling comprehensive analysis, comparison across different time points, and quantitative measurements such as SUV values. Key technological advancements in the VA30 version include features like Brain AC-PC alignment, PERCIST for oncological response assessment, VOI Isocontour creation, a Layout Editor, an 'Average' image function, a 'Stroke Layout' for neurological cases, MIP Rotation, and improved Volume Stripe Image Order. These capabilities, along with the generated images and results, also support physicians in radiotherapy treatment planning. The software has undergone verification, validation, and risk analysis to ensure its performance and safety.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the 'Brain AC-PC' feature specifically improve the accuracy or efficiency of neurological image analysis compared to manual methods or previous software versions?; What are the underlying algorithms and validation methods used for the PERCIST and VOI Isocontour features, particularly concerning their accuracy in quantitative assessment for oncology?; Can the 'Stroke Layout' feature be customized to specific institutional stroke protocols, and what impact has it shown on reducing time-to-diagnosis or improving inter-reader variability in stroke assessment?; How does the MI View&GO VA30 handle potential discrepancies or artifacts when processing and comparing images from different modalities (e.g., PET and CT) or different time-points?; What are the performance benchmarks for MI View&GO VA30, particularly regarding processing times for large datasets and the impact of the new features on system responsiveness at the acquisition console?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class C (software safety classification); Post-§524B but no clear network capability detected
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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, SaaSBOM 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: HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.
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