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510(k) Data Aggregation

    K Number
    K112957
    Date Cleared
    2011-11-08

    (35 days)

    Product Code
    Regulation Number
    870.1330
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    HI-TORQUE POWERTURN

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

    This HI-TORQUE guide wire is intended to facilitate the delivery of catheter-based interventional devices during percutaneous transluminal coronary angioplasty (PTCA) and percutaneous transluminal angioplasty (PTA). This guide wire may also be used with compatible stent devices during therapeutic procedures.

    The guide wire may also be used to reach and cross a target lesion, provide a pathway within the vessel structure, facilitate the substitution of one diagnostic or interventional device for another, and to distinguish the vasculature.

    Device Description

    The HI-TORQUE POWERTURN Guide Wire Family has a diameter of 0.014" with a 190 cm extendable length and a 300 cm exchange length. The POWERTURN Guide Wire Family is available in three tip support models and is constructed from a 304V stainless steel core. Over the proximal coined section of the 190 cm model is a Wire Identifier consisting of a black PTFE shrink tube which is removable and is used to help physicians distinguish between two Abbott Vascular wires while being used simultaneously. The distal tip of the guide wire is available as a straight tip that is shapeable or as a pre-shaped "J". The straight shape allows the physician to shape the tip according to his/her preference and the pre-shaped tip provides the physician the convenience of a "J" shape without manual shaping.

    AI/ML Overview

    This K112957 document describes a 510(k) premarket notification for the HI-TORQUE® POWERTURN Guide Wire Family, a catheter guide wire, by Abbott Vascular. The submission aims to establish substantial equivalence to previously cleared predicate devices.

    Here's an analysis of the acceptance criteria and the study that proves the device meets them:

    1. Table of Acceptance Criteria and Reported Device Performance

    Test TypeAcceptance CriteriaReported Device Performance
    Tip Tensile StrengthNot explicitly stated, implied to meet safety and performance benchmarks.Met all acceptance criteria, performed similarly to predicate devices.
    Torque StrengthNot explicitly stated, implied to meet safety and performance benchmarks.Met all acceptance criteria, performed similarly to predicate devices.
    TorqueabilityNot explicitly stated, implied to meet safety and performance benchmarks.Met all acceptance criteria, performed similarly to predicate devices.
    Coating Adherence & Integrity (Particulate Testing)Not explicitly stated, implied to prevent detachment and ensure patient safety.Met all acceptance criteria, performed similarly to predicate devices.
    Friction TestingNot explicitly stated, implied to ensure smooth navigation within vessels.Met all acceptance criteria, performed similarly to predicate devices.
    BiocompatibilityNo new biocompatibility issues (implied that material is well-established).Biocompatibility testing was not repeated as prior testing on predicate devices was deemed applicable. No new safety or effectiveness issues were raised.

    Note: The document states that the device "met all acceptance criteria and performed similarly to the predicate devices." However, the specific quantitative acceptance criteria for each test are not detailed in this summary.

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

    The document does not explicitly state the sample size used for the test set for the in vitro bench testing. It only mentions that "in vitro bench testing" was conducted.

    The data provenance is from in vitro bench testing, meaning it was conducted in a laboratory setting. There is no information regarding country of origin, retrospective, or prospective nature, as this applies to clinical study data, not bench testing.

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

    This information is not applicable to this submission. The "ground truth" concept usually applies to clinical studies where expert consensus or pathological findings validate diagnoses or outcomes. For this device, the performance was assessed through in vitro bench testing against predefined engineering and material specifications, not against expert interpretation of clinical data.

    4. Adjudication Method for the Test Set

    This information is not applicable. Adjudication methods (like 2+1, 3+1) are typically used in clinical studies for resolving discrepancies among expert readers/evaluators of medical images or patient data. The evaluation of this guide wire involved direct measurement and observation of physical properties and performance characteristics in a laboratory setting.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done, and Effect Size of How Much Human Readers Improve with AI vs. Without AI Assistance

    This information is not applicable. This submission concerns a physical medical device (a guide wire), not a diagnostic algorithm or AI system that assists human readers. Therefore, an MRMC study or evaluation of AI assistance is irrelevant to this device’s clearance.

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

    This information is not applicable. As mentioned above, this device is a physical medical instrument, not an algorithm.

    7. The Type of Ground Truth Used

    The "ground truth" for this device's evaluation was based on engineering specifications and established performance benchmarks derived from predicate devices and industry standards for guide wires. The in vitro bench tests measured physical properties and functional performance against these objective criteria.

    8. The Sample Size for the Training Set

    This information is not applicable. The concept of a "training set" is relevant to machine learning algorithms, which are not involved in the evaluation of this physical medical device.

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

    This information is not applicable, as there was no training set involved in the evaluation of this physical device.

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