uMR Omega
Shanghai United Imaging Healthcare Co., Ltd. • Radiology • 03/22/2024
Device Purpose
The uMR Omega, an established 3.0T superconducting magnetic resonance imaging system, provides detailed anatomical and functional images for comprehensive diagnostic support across various body regions. This update introduces a 24-channel breast coil, representing a technological enhancement focused on optimizing radiofrequency signal reception for potentially improved breast imaging, while the core MR imaging methodology and scientific principles of the device remain consistent with its predicate.
Summary
The uMR Omega is an existing 3.0 Tesla superconducting magnetic resonance diagnostic device (MRDD) featuring a 75cm patient bore. It is designed to generate various types of images, including sagittal, transverse, coronal, and oblique cross-sectional images, along with spectroscopic images, to visualize internal anatomical structures and functions of the head, body, and extremities. These images, when interpreted by a trained physician, serve as a diagnostic aid, with the option to use contrast agents based on the specific scan and region of interest. The system architecture includes a magnet, RF and gradient systems, patient table, spectrometer, and computer, and it conforms to NEMA and DICOM standards. This submission details a modification to the previously cleared uMR Omega (K230152), specifically the introduction of a new 'Breast Coil-24'. This addition aims to enhance breast imaging capabilities without altering the device's fundamental scientific technology or its overall intended use. The primary technological difference in this modification is the increase in the number of receiver channels in the breast coil (24 channels) compared to a previous version (Breast Coil-10). Comprehensive performance testing—including surface heating, electrical/mechanical safety, Signal-to-Noise Ratio (SNR) and uniformity, biocompatibility of identical materials, Electromagnetic Compatibility (EMC), and clinical image quality evaluation specifically for the Breast Coil-24—confirmed that the modified device meets design specifications and provides diagnostically sufficient image quality.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the increased number of channels in the Breast Coil-24 (from a previous 10-channel version) quantitatively affect key imaging parameters like signal-to-noise ratio (SNR), spatial resolution, and parallel imaging acceleration factors specifically for breast MRI?; What specific types of breast pathologies or imaging sequences are anticipated to benefit most significantly from the increased channel count of the Breast Coil-24?; Were any modifications made to the image reconstruction algorithms or system software of the uMR Omega to optimize performance with the higher channel density of the Breast Coil-24?; What are the practical implications for clinical workflow, such as patient setup time or overall scan duration, with the introduction of the Breast Coil-24 compared to using the previous Breast Coil-10 or other standard coils?; What were the specific acceptance criteria for the 'clinical image quality' evaluation of the Breast Coil-24, particularly concerning its ability to visualize subtle lesions or diverse breast tissue types, as assessed by the U.S. Board Certified radiologist?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class B (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 ML-BOM detected in AI-generated device summary.
• SBOM not mentioned in AI-generated device summary. Under §524B (effective Oct 2023), cyber devices must provide a SBOM.
• 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: SBOM, SaaSBOM, HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.
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