iNtuition-Structural Heart Module
TeraRecon Inc. • Radiology • 07/12/2019
Device Purpose
The iNtuition - Structural Heart Module is an advanced software solution intended to enhance pre-operative planning and post-operative evaluation for cardiovascular interventions by providing clinicians with comprehensive tools for visualization, measurement, and quantification of cardiac and vascular structures. It leverages established image processing techniques, including automatic/manual centerline detection, segmentation, and various multi-dimensional rendering methods applied to medical imaging data (CT, MR, etc.), to facilitate detailed anatomical assessment and procedural feasibility analysis for structural heart conditions.
Summary
The iNtuition - Structural Heart Module by TeraRecon, Inc. is an image post-processing software solution designed to assist cardiologists, radiologists, and clinical specialists in visualizing and measuring structures of the heart and vessels. Its primary purpose is to facilitate pre-operative planning and sizing for cardiovascular interventions and surgery, as well as for post-operative evaluation, through tools that enable quantification of dimensions (diameters, lengths, angles, areas, volumes) and calcium deposits. Performance data from verification and validation testing confirmed that the software meets its design intent and is equivalent to its predicate devices, supporting its role in anatomical assessment for procedural planning without requiring new clinical studies for this specific module. Functionally, the module is an optional extension of the existing iNtuition platform, utilizing its standard image manipulation, segmentation, and measurement tools, along with specific vessel analysis and calcium scoring features. It offers a comprehensive suite of visualization techniques (including 2D/3D/4D, MPR, MIP, and MAR) and enables detailed analysis such as the feasibility of transapical, transfemoral, or subclavian approaches for structural heart procedures. Deployable as a stand-alone workstation or a server with local or remote access options, the software supports guided clinical workflows and includes robust reporting capabilities to capture, store (e.g., PACS, network), and print analysis results, thereby aiming to streamline the clinical decision-making process for complex cardiovascular cases.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the accuracy of the automatic centerline detection and segmentation tools compare to manual methods or other leading software in complex cardiac anatomies?; What are the specific quantitative metrics used for calcium scoring within the iNtuition - Structural Heart Module, and how have they been validated for predicting procedural outcomes or device sizing?; Can the software integrate and co-register images from different modalities (e.g., CT and Transesophageal Echocardiography) for a more comprehensive pre-procedural assessment of structural heart disease?; What is the typical processing time required for a complete structural heart assessment, including segmentation, all necessary measurements, and report generation, on recommended hardware configurations?; How does the iNtuition - Structural Heart Module's 4D visualization and measurement capabilities account for dynamic cardiac motion and respiratory variations, particularly for assessing valvular function and device interaction?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement
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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, SaaSBOM, HBOM, OBOM 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. These may be present in the full FDA submission.
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