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icobrain-ctp

Icometrix NV • Radiology • 02/28/2020

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

icobrain ctp is an image processing software designed to quantify cerebral perfusion deficits from CT brain scans by automatically calculating key parameters such as Tmax and CBF abnormalities through algorithmic analysis of DICOM images. Its methodology involves generating quantitative reports and perfusion parameter maps, with its accuracy and reproducibility validated using both simulated digital phantoms and clinical data from stroke patients.

Summary

icobrain ctp is an image processing software package for trained professionals to analyze computed tomography (CT) perfusion scans of the brain, aiding in the assessment of cerebral hemodynamics. The software processes DICOM CT perfusion data to calculate parameters related to tissue flow and blood volume, specifically identifying and quantifying Tmax abnormality (tissue with delayed arrival) and CBF abnormality (tissue with delayed arrival and critically decreased cerebral blood flow) using algorithmic image processing. Key outputs include volumes of these abnormalities, their mismatch volume and ratio, arterial input/venous output function time series, and perfusion parameter maps (Tmax, CBF, CBV, MTT), all exportable in DICOM format. Performance validation was conducted on simulated digital phantoms and clinical CT scans from stroke patients, assessing accuracy against ground truth (simulated values, manually delineated DWI, reference device) and reproducibility under simulated patient motion. All validation tests met pre-established acceptance criteria, with perfusion parameter correlations exceeding 0.90 in digital phantom studies, demonstrating its capability for quantitative analysis.

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Keywords

CT PerfusionBrain ImagingImage Processing SoftwareCerebral Blood Flow (CBF)Time to Maximum (Tmax)Stroke AssessmentDICOMPerfusion ParametersDigital PhantomQuantitative Imaging

Device Metadata

Submission Number
K192962
Company
Icometrix NV
Panel
Radiology
Product Code
N/A
Data Type
Images
Clinical Function
Assessment
AI Function
Analysis
AI Subclass
quantification/feature localization

Relevant Clinical Questions

  • Q1. How does the algorithm for defining and segmenting Tmax and CBF abnormalities in icobrain ctp compare to other established methods, particularly in challenging cases like low signal-to-noise ratio or motion artifacts not fully mitigated by pre-processing?; What is the specific range of 'clinically relevant values of perfusion parameters' used in the digital phantom validation, and how does the software's accuracy vary across this range, especially at extreme physiological or pathological values?; The performance testing mentions comparison to 'manually delineated DWI images' for CBF abnormality validation; what was the inter-rater and intra-rater variability for these manual delineations, and how does this variability compare to the software's performance metrics?; Given that the default thresholds for Tmax abnormality (Tmax > 6s) and CBF abnormality (CBF < 30%) are not user-adjustable, what is the evidence supporting these specific fixed thresholds across diverse patient populations, CT scanner manufacturers, and acquisition protocols?; How does icobrain ctp handle CTP scans with significant motion artifacts or incomplete contrast bolus administration, and what are the specific criteria or thresholds used by the software to determine when to exclude time points or image volumes due to artifacts, as mentioned in its output report capabilities?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement

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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 Score30/100
SBOM Evidence✓ Detected in Summary
Cyber Risk Assessment⚠ Not mentioned in summary
Postmarket Plan⚠ Not mentioned in summary
§524B ApplicableNo

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials(software package)
✓ Detected
ML-BOMMachine Learning Bill of Materials(algorithm, ground truth)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials
- Not 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 SBOM, ML-BOM 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: SaaSBOM, HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.

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icobrain-ctp - Icometrix NV | ESL FDA AI Device Intelligence