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510(k) Data Aggregation

    K Number
    K163070
    Device Name
    Kent Camera
    Manufacturer
    Date Cleared
    2017-05-05

    (184 days)

    Product Code
    Regulation Number
    870.2700
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Kent Camera

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

    The Kent Camera is intended for use by healthcare professionals as a non-invasive tissue oxygenation measurement system that reports an approximate value of:

    • oxygen saturation (StO2),
    • relative oxyhemoglobin level (HbO2), and
    • relative deoxyhemoglobin (Hb) level

    in superficial tissue. The Kent Camera displays two-dimensional color-coded images of tissue oxygenation of the scanned surface and reports multispectral tissue oxygenation measurements for selected tissue regions.

    The Kent Camera is indicated for use to determine oxygenation levels in superficial tissues.

    Device Description

    The Kent Camera is a handheld digital camera based on multispectral imaging technology and performs spectral analysis at each point in a two-dimensional scanned area producing an image displaying information derived from the analysis. The Kent Camera determines the approximate values of oxygen saturation (S.O2), relative oxyhemoglobin (HbO2) and deoxyhemoglobin levels (Hb) in superficial tissues and displays a two-dimensional, color-coded image of the tissue oxygenation (StO2).

    The camera consists of a camera, a recharger, and a reference card for calibration and is used by healthcare professionals in a healthcare environment to determine oxygenation levels in superficial tissues for a patient population with potential circulatory compromise.

    AI/ML Overview

    The provided text describes a 510(k) premarket notification for the Kent Camera, a non-invasive tissue oxygenation measurement system.

    Acceptance Criteria and Study Details

    The primary goal of the study was to demonstrate the substantial equivalence of the modified Kent Camera (KC203, battery-powered) to its predicate device (KC103, AC-powered). The acceptance criteria revolved around demonstrating linear agreement, minimal bias, and a small scale shift between the StO2 measurements of the two devices across a clinically meaningful dynamic range.

    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance CriteriaReported Device Performance
    Linear relationship of StO2 measurements between the two devices over a clinically meaningful dynamic range.Demonstrated linear relationship. The Deming regression line of agreement has a 95% confidence interval for the slope [0.932 - 0.959] and intercept [0.020 - 0.040]. StO2 values from both cameras show an excellent linear correlation over a wide range of StO2 levels (normal, mildly ischemic, critically ischemic conditions).
    Quantify any scale shift (slope) between the devices and estimate the 95% levels of agreement.The slope -0.0057, with a 95% confidence interval of [-0.009, -0.002], indicates less than a 1% scale shift between the two cameras. The 95% limits of agreement (LoA) for the battery-powered minus the predicate device are -0.13 to 0.12 StO2 units. More than 85% of the paired measurements from the two cameras differ less than 0.1 StO2 units.
    Quantify any bias (difference in mean values) between the devices.Bland-Altman analysis shows little to no bias between the devices, with a 95% confidence interval for the intercept of [-0.004, 0.003] StO2 units (using StO2 reported on a scale of 0 to 1).
    Devices should share a common scale.The devices share a common scale (within 1%).
    Devices should show minimal to no bias.The devices show minimal to no bias.
    Ability to report a drop in StO2 levels under ischemia and a trend consistent with physiological response.The study demonstrated that StO2 values from both cameras report a drop from basal StO2 levels under conditions of known ischemia and report a trend in StO2 values consistent with the physiological response expected for forearm ischemia - reperfusion.
    StO2 readings are not statistically and operationally significantly different.The two devices show an excellent linear relationship and provide StO2 readings which statistically and operationally are not significantly different.

    2. Sample Size for the Test Set and Data Provenance

    • Sample Size: 17 volunteers (7 females, 10 males)
    • Data Provenance: The study was a "pre-clinical study" conducted using a "forearm ischemia protocol" in an unnamed location. The volunteers "self-reported as being healthy." The study was prospective in nature, as it involved taking measurements from human subjects under controlled conditions for the purpose of the study.

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

    The study did not involve experts establishing a "ground truth" in the traditional sense of diagnostic interpretation. Instead, the study assessed the agreement between two devices by comparing their measurements against each other and against an induced physiological state (forearm ischemia/reperfusion). The "ground truth" was essentially the known physiological changes induced in the forearm, and the device measurements were compared against each other, not against an expert-derived interpretation.

    4. Adjudication Method for the Test Set

    No adjudication method was described, as the study design was an agreement study comparing two devices' direct measurements, not an interpretation task requiring expert consensus.

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

    No MRMC comparative effectiveness study was done. The study focused on device-to-device agreement, not the improvement of human readers with AI assistance.

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

    The study implicitly evaluated the standalone performance of the device's algorithm by comparing the StO2 measurements generated by the KC203 directly with those generated by the KC103. Both devices generate StO2 values independently, and the comparison assesses the equivalence of these generated values. Human operators were involved in taking the measurements, but the performance being evaluated (StO2 measurement accuracy and agreement) is that of the device's algorithmic output.

    7. The Type of Ground Truth Used

    The "ground truth" for the test set was:

    • Known physiological changes: The forearm ischemia protocol provided a controlled and expected range of StO2 values (normal, ischemic, reperfusion). The basis for comparison was the agreement between the two devices' measurements across these known physiological states, rather than a single absolute "ground truth" reference measurement (like pathology).

    8. The Sample Size for the Training Set

    The document does not specify a training set sample size. This is a 510(k) submission, typically focusing on demonstrating substantial equivalence of a modified device to a predicate device, rather than a novel algorithm development where training set details are paramount. The "training" of the device involves its inherent multispectral imaging technology and the application of a modified Beer-Lambert model, which are fundamental scientific principles rather than a machine learning training process with a distinct training dataset.

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

    Not applicable/not provided. As mentioned above, the device's operation is based on established physical principles of light absorption and scattering for tissue oxygenation, rather than a machine learning model trained on a specific dataset with established ground truth labels in the typical sense. The "ground truth" for developing the underlying technology would be physiological models and empirical data relating light spectroscopy to oxygen saturation, but this is not described in terms of a "training set" in the context of this regulatory document.

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    K Number
    K113507
    Device Name
    KENT CAMERA
    Manufacturer
    Date Cleared
    2012-08-08

    (254 days)

    Product Code
    Regulation Number
    870.2700
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    KENT CAMERA

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

    The Kent Camera is intended for use by healthcare professionals as a non-invasive tissue oxygenation measurement system that reports an approximate value of:

    • oxygen saturation (StO2), .
    • oxyhemoglobin level (HbO2), and ●
    • deoxyhemoglobin (Hb) level .
      in superficial tissue. The Kent Camera displays two-dimensional color-coded images of tissue oxygenation of the scanned surface and reports multispectral tissue oxygenation measurements for selected tissue regions.

    The Kent Camera is indicated for use to determine oxygenation levels in superficial tissues for patients with potential circulatory compromise.

    Device Description

    The Kent Camera is based on multispectral imaging technology and performs spectral analysis at each point in a two-dimensional scanned area producing an image displaying information derived from the analysis. The Kent Camera determines the approximate values of oxygen saturation (StO₂), oxyhemoglobin levels (HbO₂), and deoxyhemoglobin levels (Hb) in superficial tissues and displays a two-dimensional, color-coded image of the tissue oxygenation (StO2).

    The device consists of:

    Imaging Head: Contains light sources, camera, and spectral filters for collecting image data.

    Touchscreen Computer: User interface, display of images, and image data processing.

    Cart: Support and attachment points for imaging head and touchscreen computer.

    AI/ML Overview

    The provided document is a 510(k) summary for the Kent Camera, a tissue oximeter. It describes the device, its intended use, and its substantial equivalence to a predicate device (Hypermed Inc.'s OxyVu-1). However, it does not contain any information about acceptance criteria, specific performance studies, sample sizes, expert qualifications, or ground truth establishment for the Kent Camera.

    The document primarily focuses on establishing substantial equivalence based on similar intended uses, technology, and a general statement about "results from performance testing," but it does not detail these performance tests.

    Therefore, I cannot provide the requested information from the given text.

    The following information is NOT available in the provided document:

    1. A table of acceptance criteria and the reported device performance: No acceptance criteria or specific performance values are listed.
    2. Sample sized used for the test set and the data provenance: No information on test set sample size or data provenance.
    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts: No mention of experts or ground truth establishment.
    4. Adjudication method: No information about 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 device is not described as an AI-assisted device, and no MRMC study is mentioned.
    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done: No standalone performance metrics are provided.
    7. The type of ground truth used: No ground truth type is specified.
    8. The sample size for the training set: No information about a training set or its size.
    9. How the ground truth for the training set was established: No information about a training set or its ground truth.
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