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510(k) Data Aggregation

    K Number
    K970698
    Date Cleared
    1997-05-06

    (70 days)

    Product Code
    Regulation Number
    886.5916
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    BOSTON ES MULTIVISION (ENFLUFOCON A) CONTACT LENS

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

    The BOSTON® MULTIVISION (enflufocon A) Contact Lens is indicated for daily wear for the correction of visual acuity in hyperopic and myopic, not-aphakic and aphakic, presbyopic patients with nondiseased eyes, who exhibit astigmatism of 2.00 diopters or less and can obtain satisfactory visual acuity. The lens provides a nominal functional add of 1.50 diopters. The lens may be disinfected using a chemical disinfecting system only

    Device Description

    The BOSTON ES MULTIVISION (enflufocon A) is an aspheric multifocal rigid gas permeable, fluoro silicone acrylate contact lens for daily wear. The BOSTON ES MULTIVISION (enflufocon A) contact lens provides distance and near vision through the use of its back surface design. The central portion of the lens provides the distance vision; the mid-peripheral portion provides the near vision and the far peripheral portion provides the fitting performance of the lens. The aspheric design is a series of ever increasing radius curves from the center of the lens to the periphery which provides the ' add' power for central ellipse for distance vision, a hyperbolic curve in the midperiphery for the near vision, and a fillet and steeper hyperbolic design in the periphery for the fitting design.

    AI/ML Overview

    The provided document describes a 510(k) summary for the BOSTON® ESTM MULTIVISION (enflufocon A) Contact Lens. It references a clinical study conducted for a previous 510(k) for the same material (K943177) to support the current premarket notification. Therefore, the acceptance criteria and study details are derived from this referenced study.

    Here's a breakdown of the requested information based on the provided text:

    1. A table of acceptance criteria and the reported device performance

    The document does not explicitly state "acceptance criteria" with numerical thresholds. However, it implicitly uses visual acuity as a key performance indicator to demonstrate effectiveness.

    Performance MetricAcceptance Criteria (Implied)Reported Device Performance
    Visual AcuitySatisfactory visual acuity (e.g., 20/30 or better)95.1% of acuities reported for completed eyes at 20/30 or better

    2. Sample size used for the test set and the data provenance

    • Sample Size: 216 patients (432 eyes)
    • Data Provenance: Not explicitly stated, but implies multi-site clinical study within the United States given it's a 510(k) submission referencing US regulatory context. It is a retrospective use of data for this specific submission, but the original study was a prospective clinical study.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

    The document does not provide details on the number or qualifications of experts establishing ground truth. The "ground truth" here is the clinical endpoint of visual acuity as measured by standard optometric methods (e.g., Snellen chart readings).

    4. Adjudication method for the test set

    The document does not describe any specific adjudication method. Standard clinical trials for contact lenses would typically involve trained clinicians (e.g., optometrists, ophthalmologists) following a defined protocol to assess visual acuity.

    5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, if so, what was the effect size of how much human readers improve with AI vs without AI assistance

    Not applicable. This is a contact lens approval, not an AI-powered diagnostic device.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    Not applicable. This is a contact lens approval, not an AI-powered diagnostic device.

    7. The type of ground truth used

    The ground truth used was clinical outcomes data, specifically:

    • Visual acuity measurements (e.g., Snellen chart readings).
    • Patient reports of wearing time.
    • Discontinuation rates and reasons (absence of adverse reactions).

    8. The sample size for the training set

    The concept of a "training set" is not applicable as this is not an AI/machine learning device. The 216 patients (432 eyes) represent the clinical studycohort used to evaluate the device performance.

    9. How the ground truth for the training set was established

    Not applicable as this is not an AI/machine learning device. The clinical study established the performance data through direct patient evaluation.

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