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uMR 680

Shanghai United Imaging Healthcare Co., Ltd. • Radiology • 04/10/2024

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

The uMR 680 is a 1.5T magnetic resonance diagnostic device designed to produce detailed anatomical and spectroscopic images for diagnostic purposes across various body regions. This iteration introduces a higher-channel Breast Coil for potentially improved breast imaging and integrates Magnetic Resonance Elastography (MRE) technology, including the `epi_se_mre` sequence, for quantitative tissue stiffness assessment, enhancing its diagnostic capabilities without altering its fundamental intended use.

Summary

The uMR 680 is a 1.5 Tesla superconducting magnetic resonance diagnostic device (MRDD) designed with a 70cm patient bore to generate cross-sectional (sagittal, transverse, coronal, oblique) and spectroscopic images. These images are utilized to visualize internal anatomical structures and functions of the head, body, and extremities, aiding trained physicians in diagnosis; contrast agents can be employed depending on the specific scan requirements. This document details modifications to the previously existing uMR 680, specifically the integration of a new 24-channel Breast Coil (Breast Coil-24) and the addition of Magnetic Resonance Elastography (MRE) capabilities, including the `epi_se_mre` pulse sequence. The indications for use for the modified device remain the same, focusing on producing images for diagnostic assistance. The scientific basis of the uMR 680 relies on the principles of magnetic resonance to acquire detailed images. The newly introduced Breast Coil-24 aims to enhance breast imaging through an increased number of receiver channels compared to a previous 10-channel coil, while maintaining equivalent intended use. The MRE functionality, including its `epi_se_mre` sequence, allows for non-invasive quantitative assessment of tissue stiffness, a valuable biomarker. Performance testing for these modifications encompassed surface heating, electrical and mechanical safety, Signal-to-Noise Ratio (SNR), uniformity, biocompatibility (with materials identical to those in a previously evaluated device for the Breast Coil), electromagnetic compatibility (EMC), and clinical image quality evaluations. All tests, including phantom and volunteer studies for MRE, demonstrated that the device performed as expected, with image quality deemed sufficient for diagnostic use by a U.S. Board Certified radiologist, ensuring the modifications did not introduce new safety or effectiveness concerns.

AI Regulatory Concerns

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Keywords

uMR 680Magnetic Resonance Imaging (MRI)Breast CoilMagnetic Resonance Elastography (MRE)1.5 TeslaSuperconducting MagnetDiagnostic ImagingAnatomical StructureSpectroscopic Imagesepi_se_mre

Device Metadata

Submission Number
K240744
Company
Shanghai United Imaging Healthcare Co., Ltd.
Panel
Radiology
Product Code
N/A
Data Type
Images
Clinical Function
Assessment
AI Function
Generation
AI Subclass
image enhancement

Relevant Clinical Questions

  • Q1. How does the increased channel count (24 channels) of the new Breast Coil specifically improve diagnostic image quality (e.g., SNR, spatial resolution, scan time) for breast imaging compared to the previous 10-channel coil?; What specific clinical scenarios or pathologies is the newly integrated Magnetic Resonance Elastography (MRE) feature primarily intended to evaluate, and what range of stiffness values can it reliably quantify?; Are there any changes to the image reconstruction algorithms or post-processing software associated with the introduction of the Breast Coil-24 and the MRE/epi_se_mre sequence?; What were the key performance metrics (e.g., accuracy, repeatability, reproducibility) from the phantom and volunteer studies for the MRE functionality, and how do these compare to established MRE systems?; Does the `epi_se_mre` sequence offer any specific advantages or overcome limitations compared to other MRE pulse sequences used in clinical practice?

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

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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 Score5/100
SBOM Evidence⚠ Not in summary - likely in full submission per §524B
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
- Not detected
ML-BOMMachine Learning Bill of Materials(algorithm)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials
- Not detected
HBOMHardware Bill of Materials
- Not 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 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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uMR 680 - Shanghai United Imaging Healthcare Co., Ltd. | ESL FDA AI Device Intelligence