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510(k) Data Aggregation

    K Number
    K954955
    Date Cleared
    1996-04-17

    (173 days)

    Product Code
    Regulation Number
    884.2700
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    STORC INTRAUTERINE PRESSURE CATHETER

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    This catheter is for use on patients requiring intrapartum, intrauterine pressure monitoring.

    Device Description

    STORC™ is a Disposable Intrauterine Pressure Monitoring System. This product is a sterile, single patient use catheter.

    AI/ML Overview

    This document, K954952, describes a 510(k) premarket notification for a medical device called the STORC Intrauterine Pressure Catheter. The submission aims to demonstrate substantial equivalence to predicate devices already on the market.

    1. Table of Acceptance Criteria and Reported Device Performance:

    The document doesn't provide a quantitative table of acceptance criteria with specific thresholds (e.g., "accuracy > 95%"). Instead, it
    qualitatively describes areas where the STORC catheter's performance was compared to predicate devices.

    Acceptance Criteria (Qualitative)Reported Device Performance
    Safety
    Perforation riskBench testing on fresh placenta showed STORC is less likely to perforate than predicate devices.
    Mechanical integrityLaboratory testing and basic design assure no parts will come loose.
    Biocompatibility and infectionIndependent lab testing showed materials are safe for intended application.
    Effectiveness
    Integrity of intrauterine pressure signalClinical trials showed STORC was as effective or more effective than predicate devices.
    Ease of useClinical trials showed STORC was as effective or more effective than predicate devices.
    Amniotic space accessClinical trials showed STORC was as effective or more effective than predicate devices.
    Device retentionClinical trials showed STORC was as effective or more effective than predicate devices.
    Zeroing and drift signal stabilityClinical trials showed STORC was as effective or more effective than predicate devices.
    Sensor accuracyLaboratory testing verified performance standards.
    Overall performanceLaboratory testing verified performance standards.

    2. Sample Size Used for the Test Set and Data Provenance:

    The document mentions "clinical studies" and "clinical trials" but does not specify the sample size for the test set (number of patients or cases).

    The provenance of the data is limited to "clinical studies" and "laboratory testing." It does not specify the country of origin of the data or explicitly state whether the clinical data was retrospective or prospective. Given the context of a 510(k) for a new device, it is most likely that the clinical studies were prospective.

    3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications:

    The document mentions "physician evaluation" as part of the safety verification in clinical studies. However, it does not specify the number of experts used to establish ground truth for the clinical effectiveness assessments, nor does it detail their specific qualifications (e.g., "obstetrician with X years of experience").

    4. Adjudication Method for the Test Set:

    The document does not specify any adjudication method (e.g., 2+1, 3+1, none) for the assessment of the clinical studies. The mention of "physician evaluation" suggests subjective assessment, but the process for resolving discrepancies or reaching consensus is not described.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done:

    No, a Multi-Reader Multi-Case (MRMC) comparative effectiveness study was not explicitly mentioned or described. The study focuses on comparing the device's performance to predicate devices, but there's no indication of a structured MRMC design to measure human reader improvement with or without AI assistance, as AI is not a component of this device.

    6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done:

    This question is not applicable as the STORC Intrauterine Pressure Catheter is a physical medical device, not an AI algorithm. Therefore, there is no "algorithm-only" performance to assess.

    7. The Type of Ground Truth Used:

    For safety, the ground truth appears to be based on:

    • Bench testing results (e.g., direct measurement of perforation likelihood on fresh placenta).
    • Clinical physician evaluation (qualitative assessment of safety in a real-world setting).
    • Biocompatibility test results from an independent lab.

    For effectiveness, the ground truth appears to be based on:

    • Clinical trial results and physician evaluation: Assessing attributes like signal integrity, ease of use, access, retention, and signal stability, likely through direct observation, patient outcomes, and user feedback.
    • Laboratory testing: Verifying sensor accuracy and overall performance against established standards for pressure measurement.

    8. The Sample Size for the Training Set:

    This question is not applicable as the STORC Intrauterine Pressure Catheter is a physical medical device. It does not use machine learning or AI, and therefore, there is no "training set" in the context of data used to train an algorithm.

    9. How the Ground Truth for the Training Set Was Established:

    This question is not applicable for the same reason as point 8.

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