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510(k) Data Aggregation

    K Number
    K970617
    Manufacturer
    Date Cleared
    1997-04-21

    (62 days)

    Product Code
    Regulation Number
    892.2050
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    CT-MODELLER SYSTEM

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

    The Materialise CT-Modeller System is intended for use as a software interface and image segmentation system for the transfer of imaging information from a medical scanner such as a Magnetic Resonance imaging scanner or CT scanner. The input data file is processed by the CT-Modeller System and the result is an output data file which may then be used as input data for a CAD or Rapid Prototyping System. The CT-Modeller System which is the subject of this 510(k) premarket notification is confined solely to the software image segmentation system.

    Device Description

    The Materialise CT-Modeller System is intended for use as a software interface and image segmentation system for the transfer of imaging information from a medical scanner such as a Magnetic Resonance imaging scanner or CT scanner. The input data file is processed by the CT-Modeller System and the result is an output data file which may then be used as input data for a CAD or Rapid Prototyping System.

    AI/ML Overview

    The provided text is a Summary of Safety and Effectiveness for the Materialise CT-Modeller System, which is a 510(k) premarket notification document from 1997. This document details the device's general information, predicate device, device description, and indications for use, but does not contain the information required to answer the specific questions about acceptance criteria and study details.

    Specifically, the document lacks:

    • A table of acceptance criteria and reported device performance. The document states the device is substantially equivalent to a predicate device, but actual performance metrics or criteria are not mentioned.
    • Details about a study that proves the device meets acceptance criteria. There is no mention of a specific clinical or technical study, sample sizes, data provenance, expert involvement, adjudication methods, or ground truth establishment.
    • Information regarding multi-reader multi-case (MRMC) comparative effectiveness studies or standalone algorithm performance.
    • Details about training sets, ground truth types, or how ground truth was established.

    The document focuses on demonstrating substantial equivalence to a predicate device (SurgiCAD View System) based on design, material, and function, rather than presenting a performance study against predefined acceptance criteria. Therefore, most of the requested information cannot be extracted from the provided text.

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