iSchemaView RAPID
iSchemaView, Inc. • Radiology • 12/27/2018
Device Purpose
iSchemaView RAPID is a medical image processing software designed to analyze CT and MRI scans, providing quantitative data on tissue characteristics such as perfusion and diffusion. Its methodology involves DICOM image acquisition and modular analysis, notably aiding physicians in the selection of acute stroke patients for endovascular thrombectomy by applying specific parametric thresholds to perfusion imaging data.
Summary
iSchemaView RAPID is an advanced medical image processing software package designed for trained professionals, including physicians and medical technicians, to aid in diagnosis using CT and MRI scans. The software operates as a Picture Archiving and Communications System (PACS), acquiring DICOM-compliant images and offering tools for viewing, quantification, analysis, and reporting. It can be deployed on a local server or accessed as a virtual system, integrating into hospital networks with secure connections. RAPID employs various modules, such as CT Angiography (CTA) for visualizing cerebral vessels, a Diffusion Weighted MRI (DWI) module for assessing local water diffusion properties, and a Dynamic Analysis Module for tracking changes in contrast over time to calculate parameters like tissue perfusion and blood volume. These functionalities allow for detailed study of tissue changes and characteristics derived from the imaging data. A key application of iSchemaView RAPID, particularly highlighted in version 4.8.3, is its use in aiding physicians in the selection of acute stroke patients for endovascular thrombectomy. This involves patients with known occlusions of major intracranial arteries. The software processes CT Perfusion (CT-P) and MR Perfusion data, using specific parametric settings and quantitative thresholds (such as lesion volume, Tmax, and mismatch ratios between affected and normal tissue) to identify suitable candidates for this time-sensitive intervention. The system provides a detailed "RAPID THROMBECTOMY SELECTION GUIDE" based on factors like time since stroke onset (KNB), patient age, and NIHSS score. Performance validation, including phantom studies and conformance to standards like DICOM, ISO 14971, and IEC 62304, ensures the system's reliability in processing medical images and providing accurate parameters for clinical decision support, especially in the critical context of acute stroke management. Contraindications such as inadequate image quality due to bolus issues or patient motion, and the presence of hemorrhage, are also specified.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the RAPID software's algorithm for calculating mismatch volume in stroke patients account for variations in imaging protocols or scanner types across different institutions?; What is the reported sensitivity and specificity of the RAPID CT-Perfusion and MR-Perfusion modules in identifying patients who benefit from endovascular thrombectomy, based on the retrospective clinical data evaluation mentioned for the expanded indication?; How does the RAPID Dynamic Analysis Module differentiate between reversible ischemia (penumbra) and irreversible infarction (core) beyond the Tmax and CBF/DWI thresholds, and are there other quantitative parameters it offers for this distinction?; Considering the contraindication of 'excessive patient motion,' what specific image quality metrics or automated motion detection capabilities are integrated into RAPID to flag scans as 'technically inadequate'?; How does the 'large vessel density analysis' in the RAPID CTA module quantify density, and how does this correlate with clinical outcomes or thrombus characteristics in acute stroke?
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 SBOM, ML-BOM, SaaSBOM 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: HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.
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