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510(k) Data Aggregation

    K Number
    K984374
    Device Name
    SURGISORB
    Manufacturer
    Date Cleared
    1999-06-04

    (179 days)

    Product Code
    Regulation Number
    878.4493
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    SURGISORB

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

    GENERAL SOFT TISSUE APPROXIMATION; INCLUDING USE IN OPHTHALMIC SURGERY, BUT NOT FOR USE IN CARDIOVASCULAR AND NEUROLOGICAL TISSUE.

    Device Description

    Survisorb brand absorbable suture is provided both dyed (D&C Viclet #2) and undyed (milk white), braided and monofiliment types and coated with polyceprolate and calcium sterate. Sizes offered are U.S.P. 8.0 through 2 (mstric equivalcht 0.4 through 5). Michaels. Polyglycolic acid. U.S.P. & polycaprolate and calcium sterate.

    AI/ML Overview

    The provided text is a Premarket Notification (510(k)) for the "Surgisorb" absorbable suture, indicating it is substantially equivalent to a predicate device. This type of document does not typically contain acceptance criteria or detailed study results in the manner requested for AI/device performance.

    The document focuses on demonstrating substantial equivalence to a legally marketed predicate device (Dexon® II polyglycolic acid, synthetic absorbable surgical sutures) based on material, packaging, sterilization, sizes, and functional characteristics (absorption rate, strength, etc.), as well as meeting or exceeding USP 23 performance requirements.

    Therefore, I cannot provide the specific information requested in the format of a table of acceptance criteria, reported device performance, sample sizes, expert qualifications, or details of standalone or MRMC comparative effectiveness studies, as these types of studies and their detailed results are not typically included in a 510(k) submission summary for this class of medical device.

    Here's what can be extracted and inferred from the document:

    • Acceptance Criteria & Reported Device Performance:

      • Acceptance Criteria (Implied): The device must meet or exceed the performance requirements of USP 23 (United States Pharmacopeia) for absorbable surgical sutures. It also must be substantially equivalent to the Dexon® II polyglycolic acid suture in terms of materials, packaging, sterilization method, sizes, multi and monofilament types, dyed and undyed states, and functional characteristics (absorption rate, strength).
      • Reported Device Performance: The document explicitly states: "Surgisorb and Dexon® II both meet or exceed the performance requirements of USP 23." This implicitly states that Surgisorb also meets these criteria. The "Summary Comparison Table" (page 2) lists features where Surgisorb is "SAME" as the predicate device, implying comparable performance.
    • Sample Size and Data Provenance: Not specified in this 510(k) summary. These details would be in the underlying testing documentation, not the public summary.

    • Number of Experts and Qualifications: Not specified. The determination of "substantial equivalence" is made by the FDA based on the manufacturer's submission. The performance testing against USP standards would be conducted in laboratories, but the specific expert involvement for establishing "ground truth" as might be relevant for AI models is not applicable here.

    • Adjudication Method: Not applicable for this type of device submission.

    • Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study: Not applicable. This device is not an AI-assisted diagnostic tool.

    • Stand-alone Performance (Algorithm Only): Not applicable, as this is a physical medical device (suture), not an algorithm.

    • Type of Ground Truth Used: The "ground truth" here is compliance with established industry standards (USP 23) and demonstrated equivalence to a predicate device through material and functional characteristic comparisons. This is based on USP standards and direct material/performance testing, not expert consensus, pathology, or outcomes data in the AI sense.

    • Sample Size for Training Set: Not applicable. This is not an AI/machine learning device.

    • How Ground Truth for Training Set was Established: Not applicable. This is not an AI/machine learning device.

    In summary, the provided document is a 510(k) Pre-market Notification for a surgical suture and does not contain the detailed study information (especially related to AI/algorithm performance) that your template requests.

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    K Number
    K990432
    Device Name
    SURGISORB
    Manufacturer
    Date Cleared
    1999-05-27

    (105 days)

    Product Code
    Regulation Number
    878.4493
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    SURGISORB

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

    Surgisorb is indicated for use in general tissue approximation and or ligation, including use in ophthalmic procedures but not for use in cardiac or neurological procedures.

    Device Description

    Not Found

    AI/ML Overview

    I am unable to provide a description of acceptance criteria and study details based on the provided text. The document is an FDA clearance letter for a medical device (Surgisorb Surgical Suture) from 1999. It states that the device is "substantially equivalent" to previously regulated devices and outlines limitations and regulatory requirements.

    However, the provided text does not contain any information about:

    • Specific acceptance criteria for device performance.
    • Details of any study that proves the device meets acceptance criteria (e.g., performance metrics, statistical results).
    • Sample sizes, data provenance, ground truth establishment, expert qualifications, or adjudication methods for any test or training sets.
    • Information on MRMC comparative effectiveness studies or standalone algorithm performance.

    The letter focuses on regulatory approval and classification based on substantial equivalence, not on the detailed results of a performance study.

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