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510(k) Data Aggregation

    K Number
    K131896
    Date Cleared
    2014-02-28

    (248 days)

    Product Code
    Regulation Number
    892.1000
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    SuperVan 1.5T Magnetic Resonance Imaging System is a MRI system that produces transversal, sagittal and coronal and oblique cross-section images of the internal structure of the whole body. The images produced by the SuperVan 1.5T system reflect the spatial distribution of protons (hydrogen nuclei) exhibiting magnetic resonance. The NMR properties that determine the image appearance are proton density, spin-lattice relaxation time (T1), spin-spin relaxation time (T2) and flow. These images when interpreted by a trained physician, yield information that may assist in diagnosis.

    Device Description

    The proposed device, SuperVan 1.5T, is a Magnetic Resonance Imaging System that utilizes a 1.5 Tesla superconducting magnet in an open gantry design. It's indicated for use as magnetic resonance diagnostic devices (MRDD) that produce transversal, sagittal and coronal and oblique cross-section images of the internal structure of the whole body. The images produced by the SuperVan 1.5T system reflect the spatial distribution of protons (hydrogen nuclei) exhibiting magnetic resonance. The NMR properties that determine the image appearance are proton density, spin-lattice relaxation time (T1), spin-spin relaxation time (T2) and flow. These images when interpreted by a trained physician, yield information that may assist in diagnosis. The MRI system is composed of magnet, RF Amplifier, Gradient Amplifier, RF Coils, control computer, intercom system and water chiller. The system software, AnkeStation, based on Windows XP operating system is an interactive program with user friendly interface.

    AI/ML Overview

    The document describes the SuperVan 1.5T Magnetic Resonance Imaging System, which produces cross-section images of the internal structure of the whole body. The images reflect the spatial distribution of protons (hydrogen nuclei) exhibiting magnetic resonance, and the NMR properties such as proton density, spin-lattice relaxation time (T1), spin-spin relaxation time (T2), and flow. These images, when interpreted by a trained physician, assist in diagnosis.

    The study presented is to demonstrate that the proposed device, SuperVan 1.5T, is Substantially Equivalent (SE) to a predicate device, ACHIEVA 1.5T & INTERA 1.5T family (K052013), as per FDA requirements for 510(k) premarket notification. This type of submission focuses on comparing the proposed device to a legally marketed predicate device rather than on presenting de novo performance criteria with specific numerical targets.

    Since it's a substantial equivalence submission for an MRI system, the "acceptance criteria" are primarily established through compliance with recognized international and national standards for medical electrical equipment and MR imaging performance, and direct comparison of technical specifications with the predicate device.

    Here's an analysis of the provided information:

    1. Table of Acceptance Criteria and Reported Device Performance

    The acceptance criteria are generally established by conforming to existing standards and demonstrating similar technical characteristics to the predicate device. There are no specific numerical performance metrics (like sensitivity, specificity, accuracy) for disease detection or diagnosis provided in this summary. Instead, the performance is demonstrated by compliance with standards that ensure the device operates safely and produces images of sufficient quality for diagnostic purposes, comparable to the predicate device.

    ItemAcceptance Criteria (Demonstrated by)Reported Device Performance
    Product CodeLNH (Same as predicate)LNH
    Regulation No.21 CFR 892.1000 (Same as predicate)21 CFR 892.1000
    ClassClass II (Same as predicate)Class II
    Intended UseSimilar to predicate device (MRI system producing images for diagnosis by a trained physician)SuperVan 1.5T Magnetic Resonance Imaging System produces transversal, sagittal and coronal and oblique cross-section images of internal body structure, reflecting proton density, T1, T2, and flow, to assist in diagnosis.
    Installation TypeFixed (Same as predicate)Fixed
    Magnet TypeSuper-conducting (Same as predicate)Super-conducting
    Field Strength1.5T (Same as predicate)1.5T
    CoilSimilar to predicate deviceHead coil, neck coil, body coil, knee coil
    Electrical SafetyConforms to IEC 60601-1 and IEC 60601-2-33Conforms to IEC 60601-1:1988 + A1:1991 + A2:1995, IEC 60601-2-33:2002 + A1:2005 + A2:2007
    EMCConforms to IEC 60601-1-2Conforms to IEC 60601-1-2: 2007
    Patient Contact MaterialSimilar to predicateSynthetic resin, Acrylic acid lacquer
    BiocompatibilityConforms to ISO 10993 series standardsConforms to the requirements of ISO 10993 series standards
    Label and LabelingConforms to FDA Regulatory RequirementsConforms to FDA Regulatory Requirements
    Level of Concern of SoftwareModerate (Same as predicate)Moderate
    Image Quality Parameters (SNR, Geometric Distortion, Uniformity, Slice Thickness, Acoustic Noise, SAR)Conforms to NEMA MS standardsConforms to NEMA MS 1, 2, 3, 4, 5, 6, 8 standards

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

    The document does not explicitly mention a "test set" in the context of patient data or clinical images for evaluating diagnostic performance. The non-clinical tests conducted relate to engineering specifications and compliance with standards. These tests typically involve phantoms and engineering measurements, not patient data for establishing a conventional "test set" like in AI/CADe device evaluations. The data provenance would be from laboratory testing and engineering measurements.

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

    Not applicable. This submission focuses on the technical and safety aspects of the MRI system itself, primarily through compliance with engineering standards and comparison with a predicate device. It does not involve a diagnostic performance study with a "ground truth" established by medical experts on a set of images for the device's diagnostic output. The "ground truth" for the device's output is expected to be interpreted by "trained physicians" in clinical use, which is mentioned in the intended use statement.

    4. Adjudication Method for the Test Set

    Not applicable, as there is no mention of a diagnostic performance test set requiring adjudication.

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

    Not applicable. This is not an AI/CADe device. It is a Magnetic Resonance Imaging System, a hardware and software system used to acquire images. The study presented here is a substantial equivalence claim based on technical specifications and adherence to standards, not a comparative effectiveness study involving human readers and AI assistance for diagnostic tasks.

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

    Not applicable. This is not an algorithm-only device. It is a complete MRI system.

    7. The Type of Ground Truth Used

    The ground truth here is established by compliance with recognized engineering and safety standards (IEC, ISO, NEMA) for medical devices and MRI systems. For image quality parameters (like SNR, geometric distortion, uniformity, etc.), the "ground truth" would be the specified values or ranges defined in these standards.

    8. The Sample Size for the Training Set

    Not applicable. The document does not describe a machine learning algorithm that requires a "training set" of data for its diagnostic performance. The software mentioned (AnkeStation) is described as an "interactive program with user friendly interface" for controlling the MRI system.

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

    Not applicable, as there is no training set for a machine learning algorithm described.

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