LungVision
BodyVision Medical Ltd. • Radiology • 10/01/2024
Device Purpose
The LungVision device is designed to improve the precision of endobronchial tool guidance during pulmonary procedures. It achieves this by integrating pre-acquired 3D CT datasets with live fluoroscopic X-ray images, providing clinicians with real-time, three-dimensional navigational insights for targeted interventions.
Summary
BodyVision Ltd.'s LungVision device has secured substantial equivalence determination, enabling its market release as a Class II Medical Image Management and Processing System. Its primary purpose is to enhance catheter and device navigation during pulmonary procedures by segmenting pre-acquired 3D CT datasets and accurately overlaying and registering them with live fluoroscopic X-ray images. This sophisticated methodology provides real-time planning information, tomographic images, and 3D views, effectively guiding endobronchial tools to specific areas of interest within a patient's lungs. The device's market approval is contingent upon adherence to general controls, including annual registration, device listing, good manufacturing practices, and precise labeling. It must also comply with the Quality System regulation, the Unique Device Identification System rule, and medical device reporting for adverse events. The LungVision system demonstrated its safety and effectiveness through comprehensive testing, encompassing bench tests, simulations with lung models, and clinical validation using historical data, confirming it met all specified requirements and achieved comparable accuracy to its predicate device.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the real-time registration accuracy of 3D CT data with live fluoroscopy compare in dynamic lung environments (e.g., during patient breathing)?; What is the specific impact of LungVision on procedure time, radiation exposure, and diagnostic yield compared to traditional bronchoscopy or navigation methods?; Are there specific patient cohorts or lung pathologies where LungVision demonstrates superior performance or has limitations?; What are the long-term clinical outcomes and complication rates associated with procedures guided by the LungVision system?; Has the system been validated for use with different types of endobronchial tools or for a broader range of interventional pulmonary procedures beyond navigation?
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 ML-BOM, OBOM 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. These may be present in the full FDA submission.
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