K-numberK251590
Device nameMethinks CTA Stroke
ApplicantMethinks Software, S.L
Product codeQAS
Device classClass II
Decision dateAug 20, 2025
DecisionSubstantially Equivalent
Regulation892.2080
AI Summary extracted from FDA summary PDF · never regenerated
Intended use

Methinks CTA Stroke is an AI-powered software tool that analyzes CT angiography images of the brain to detect suspected large vessel occlusions (LVO) in acute stroke patients. It sends notifications to neurovascular specialists in parallel with standard clinical workflow to flag cases requiring urgent review, without providing diagnostic interpretation.

Technological characteristics

Both the subject device and predicate (ContaCT) use artificial intelligence algorithms to analyze CT angiogram images and notify trained clinicians of suspected LVO. The subject device expands vessel analysis to include terminal ICA, MCA-M1, and MCA-M2, whereas the predicate analyzes only ICA and MCA-M1. Both devices do not highlight or annotate findings, provide compressed preview images for informational purposes only, and operate as parallel workflow tools independent of standard-of-care interpretation.

Test standards cited

Not stated in this summary.

Substantial equivalence argument

Both devices share identical intended use as notification-only, parallel workflow tools for LVO triage using CT angiography with identical product codes and regulatory classification. The expansion to analyze MCA-M2 vessels does not raise new safety or effectiveness questions because it represents an incremental addition to the same clinical indication using the same algorithmic approach and risk mitigation strategies (non-diagnostic preview images, requirement for clinician review on diagnostic viewers). Performance validation demonstrated sensitivity of 98.2% and specificity of 91.6% across multiple patient subgroups and imaging vendors, with mean notification time of 3.3 minutes, establishing equivalence in safety and performance.

Extracted by AI from the official FDA summary PDF →
Source

View the full FDA submission: accessdata.fda.gov

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