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ClearRead CT CAC

Riverain Technologies, Inc. • Radiology • 12/03/2024

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

Riverain Technologies' ClearRead CT CAC device is an image processing software designed to automatically assess coronary artery calcification (CAC) from standard or low-dose chest CT scans, providing Agatston scores and CAC categories to aid physicians in patient risk evaluation. Its efficacy and safety were rigorously validated through non-clinical and clinical studies, demonstrating substantial equivalence and high agreement with manual methods using metrics like kappa scores and Bland-Altman analysis for accurate, automated quantification of CAC.

Summary

Riverain Technologies, Inc.'s ClearRead CT CAC device, an image processing software, has received regulatory clearance for assessing coronary artery calcification (CAC) on non-gated, non-contrast, standard, or low-dose chest CT scans in adults aged 30 or older. This device's primary function is to generate an Agatston score, which subsequently determines a CAC category and arterial age, thereby assisting physicians in cardiovascular risk assessment. Its clearance was based on its demonstrated substantial equivalence to existing legally marketed predicate devices, affirming its intended use under general regulatory controls. The device's efficacy and safety were rigorously supported by extensive non-clinical and clinical performance testing. Non-clinical evaluations, involving approximately 400 cases, confirmed compliance with quality standards and showed high agreement (weighted kappa of 0.958) between automated and manual CAC categorization. A clinical study with 491 non-contrast chest CT cases further validated its accuracy, achieving a primary endpoint kappa score of 0.959 for Agatston score category agreement and demonstrating robust consistency for continuous scores and segmentation through Bland-Altman and Dice score analyses. These comprehensive results collectively establish the device's reliability for its specified diagnostic purpose.

AI Regulatory Concerns

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Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

Keywords

ClearRead CT CACCoronary Artery CalcificationAgatston scoreChest CT scansImage processing softwareNon-contrast CTRegulatory approvalClinical validationKappa scoreSubstantial equivalence

Device Metadata

Submission Number
K242188
Company
Riverain Technologies, Inc.
Panel
Radiology
Product Code
N/A
Data Type
N/A
Clinical Function
N/A
AI Function
N/A
AI Subclass
N/A

Relevant Clinical Questions

  • Q1. How does the ClearRead CT CAC device perform compared to traditional manual scoring methods in terms of physician workflow efficiency and diagnostic turnaround time?; What are the specific limitations or contraindications for using the ClearRead CT CAC device, particularly regarding image quality artifacts or patient populations not covered by the study?; Could the device's output, specifically the derived arterial age, influence patient management decisions or risk stratification in a clinical setting beyond the Agatston score?; Are there ongoing studies or plans to expand the device's utility to other imaging modalities or to integrate it into broader cardiovascular risk assessment platforms?; How might the use of low-dose CT scans, as supported by the device, impact long-term patient exposure to radiation and the generalizability of the Agatston score accuracy?

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
- Not detected
SaaSBOMSoftware-as-a-Service Bill of Materials(platform)
✓ 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 SaaSBOM 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, ML-BOM, HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.

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ClearRead CT CAC - Riverain Technologies, Inc. | ESL FDA AI Device Intelligence