EchoPAC Software Only, EchoPAC Plug-in
GE Medical Systems Ultrasound and Primary Care Diagnostics, • Radiology • 07/22/2022
Device Purpose
The EchoPAC Software Only / EchoPAC Plug-in is an advanced workstation software designed for comprehensive ultrasound image review, analysis, and reporting, supporting a wide array of clinical applications and imaging modes. It leverages updated software functionalities, including AI-powered cardiac analysis tools (Easy AutoEF, Easy AFI LV), CT Fusion, Strain Elastography, and a new Thoracic/Pleural application, to enhance diagnostic capabilities and streamline clinical workflows.
Summary
The EchoPAC Software Only / EchoPAC Plug-in is a medical image management and processing system designed for the diagnostic review, analysis, patient record management, and reporting of ultrasound images. It supports images acquired from GE Healthcare Vivid family ultrasound systems and DICOM images from other ultrasound systems, operating across various modes such as B (2D), M, Color M, Color, Power, Doppler, 3D, and Real-time 3D (4D). The software can be installed directly on customer PC hardware or hosted by a generalized PACS workstation, facilitating image processing, annotation, measurement, report generation, communication, storage, and retrieval for a wide range of clinical applications, including fetal/obstetrics, abdominal, urology, pediatric, cardiac, vascular, and musculoskeletal imaging. This iteration of EchoPAC introduces significant technological advancements and new features. Notably, it incorporates AI-driven tools, 'Easy AutoEF' and 'Easy AFI LV', which include an AI Auto ROI algorithm for automated cardiac function assessment; these AI algorithms demonstrated high accuracy (91-92% dice score) on diverse international datasets, with a rigorous truthing process involving multiple certified cardiologists. Other key enhancements include a 'Thoracic/Pleural' application, 'CT Fusion' capabilities for integrating computed tomography data, 'Strain Elastography', a 'Spline Tool' for area measurement, and several workflow enhancement tools like 'Dual Crop', 'Pre-Post Compare', and 'SR Interpreter'. The software also features updates to existing functionalities such as Flexi-Slice, Launchpad, DICOM Spooler, 4D Auto LVQ, and 4D Auto TVQ, all developed under ISO 14971 risk management and IEC 62304 software lifecycle processes.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. What specific validation was performed for the 'CT Fusion' feature, and how does it ensure accurate anatomical correlation between CT and ultrasound images in diverse clinical scenarios?; How does the performance of the AI-driven 'Easy AutoEF' and 'Easy AFI LV' tools compare to manual expert analysis in terms of inter-observer and intra-observer variability, beyond the reported dice scores?; Can you elaborate on the 'workflow enhancement tools' such as Dual Crop and SR Interpreter, providing quantitative data on their impact on analysis time or diagnostic efficiency?; What are the technical specifications and performance characteristics of the newly added 'Strain Elastography' feature, and how does it integrate with existing cardiac or musculoskeletal analysis workflows?; For the new 'Thoracic/Pleural application', what specific image processing algorithms or measurement tools are included, and how were they validated for diagnostic accuracy in relevant pathologies?
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 ML-BOM, SaaSBOM, HBOM 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: SBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.
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