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510(k) Data Aggregation

    K Number
    K222279
    Manufacturer
    Date Cleared
    2022-08-29

    (31 days)

    Product Code
    Regulation Number
    876.5130
    Reference & Predicate Devices
    Why did this record match?
    Product Code :

    EZC

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

    These catheters are indicated for the routine drainage of urine from the bladder. These catheters are not intended or designed for indwelling use.

    Device Description

    The Intermittent Urethral Catheters consist of a tubular shaft with attached funnel as the connecting device. PVC material used in the catheter. The product sizes range from 10 Ch. to 24 Ch. The device shaft is uncoated.

    AI/ML Overview

    This document, a 510(k) summary from the FDA for the Rusch Intermittent Urethral Catheter, does not contain the information requested about acceptance criteria and a study proving a device meets them for an AI/ML medical device.

    The document is a submission for a traditional medical device (a catheter), not an AI/ML diagnostic or prognostic tool. Therefore, it discusses:

    • Substantial Equivalence: The primary focus is on demonstrating that the new device is substantially equivalent to a previously cleared predicate device (K173596).
    • Device Description: Details on the physical characteristics and materials of the catheter.
    • Indications for Use: What the catheter is intended for (routine drainage of urine).
    • Changes: The only change mentioned is to the labeling (adding contraindications to the Instructions for Use).

    None of the requested information regarding AI/ML device performance studies, such as:

    1. Table of acceptance criteria and reported device performance: This would be relevant for an AI's accuracy, sensitivity, specificity, etc., which is not applicable here.
    2. Sample size, data provenance, experts for ground truth, adjudication method: These are specific to evaluating AI model performance on a test dataset.
    3. MRMC study, standalone performance, type of ground truth, training set details: These are all methodologies used to validate AI models.

    In summary, this document is about a low-risk, non-AI medical device and therefore does not include the details of an AI/ML performance study.

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    K Number
    K173596
    Manufacturer
    Date Cleared
    2018-01-29

    (69 days)

    Product Code
    Regulation Number
    876.5130
    Reference & Predicate Devices
    Why did this record match?
    Product Code :

    EZC

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

    The Intermittent Urethral Catheters are indicated for routine drainage of fluids from the bladder. These catheters are not intended or designed for indwelling use.

    Device Description

    The Rusch® Intermittent Urethral Catheters are single use, uncoated, disposable and sterile. The catheter is comprised of a tip, shaft, and funnel. The catheter tube is made of polovviny chiloride (PVC), the tip of a PVC/liquid colored PVC which is cured to the tube and a catheter funnel also made of PVC. The dimensions range from Charrièr (Ch.) Ch. 10 to Ch. 24 which is a range of 3.3 mm to 7.9 mm in Outer Diameter with a length 40 cm. The catheters are produced with two different tips - Tiemann and Nelaton-Robinson. Each catheter size has a color-coded tip.

    The Nelaton-Robinson catheters have a size range from 10 Ch. to 24 Ch. and have two drainage holes. The Tiemann catheters have a size range from 12 Ch. and also have two drainage holes. Additionally the Tiemann and Nelaton-Robinson catheters also contain funnel adhesive solution to which the funnel is adhered to the shaft and hot embossing film or tint for printing text on the catheter.

    AI/ML Overview

    The provided text describes a 510(k) premarket notification for the "Rusch® Intermittent Urethral Catheters". The document primarily focuses on demonstrating substantial equivalence to a predicate device (K033023). It does not contain information about acceptance criteria and a study proving device meeting acceptance criteria in the way these terms are typically used for AI/ML device evaluations (i.e., performance metrics, ground truth, expert adjudication, MRMC studies, etc.).

    Instead, it details the non-clinical performance testing performed to demonstrate substantial equivalence to the predicate device. For this type of medical device (a catheter), "acceptance criteria" would typically refer to meeting industry standards and performance benchmarks for physical and functional characteristics, rather than diagnostic accuracy metrics.

    Here's a breakdown of the available information from the provided text, framed as closely as possible to your request, but highlighting what is not present:

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

    The document does not explicitly present a table of "acceptance criteria" with corresponding "reported device performance" in the format typically seen for AI/ML diagnostic devices (e.g., sensitivity, specificity, AUC). Instead, it lists non-clinical performance tests that were conducted to establish substantial equivalence.

    Acceptance Criteria (Implied from tests)Reported Device Performance (Implied from conclusion)
    Meets standards for Flow RateVerifies performance is substantially equivalent to predicate device
    Meets standards for Catheter Tensile propertiesVerifies performance is substantially equivalent to predicate device
    Meets standards for Break StrengthVerifies performance is substantially equivalent to predicate device
    Meets Cytotoxicity ISO 10993-5Biocompatibility studies conclude materials are safe for intended use
    Meets Sensitization ISO 10993-10Biocompatibility studies conclude materials are safe for intended use
    Meets Skin Irritation ISO 10993-10Biocompatibility studies conclude materials are safe for intended use
    Performs as well as or better than predicate device in critical performance characteristicsPerformance test results demonstrate the subject device meets its intended use and is as safe, as effective, and performs as well as or better than the legally marketed predicate device.

    2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    This information is not provided in the document. The document describes non-clinical (bench) testing, not a clinical study involving a test set of patient data.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

    This information is not applicable/provided. The evaluation is based on non-clinical engineering and biocompatibility tests, not expert interpretation of diagnostic images or patient cases.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

    This information is not applicable/provided. There is no "test set" in the context of diagnostic interpretation that would require adjudication.

    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

    This information is not applicable/provided. The device is an intermittent urethral catheter, not an AI/ML diagnostic tool. Therefore, an MRMC study related to human reader performance with or without AI assistance is irrelevant.

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

    This information is not applicable/provided. The device is a physical medical device (catheter), not an algorithm.

    7. The type of ground truth used (expert concensus, pathology, outcomes data, etc)

    For the non-clinical performance tests, the 'ground truth' is effectively established by standardized laboratory testing procedures and ISO standards (e.g., ISO 10993 for biocompatibility), and comparison to the characteristics of the legally marketed predicate device.

    8. The sample size for the training set

    This information is not applicable/provided. This is a physical medical device, not an AI/ML algorithm requiring a training set.

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

    This information is not applicable/provided.

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