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510(k) Data Aggregation

    K Number
    K152250
    Device Name
    SpeqRT
    Manufacturer
    Date Cleared
    2015-09-03

    (24 days)

    Product Code
    Regulation Number
    892.1550
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The SpeqRT ultrasound system is for non-invasive imaging of the human body and is intended for the following applications: Fetal, Abdominal, Pediatric, Musculo-skeletal, Cardiac and Peripheral Vessel. Users must have ultrasound training before using the device. See the attached Indications for Use form for specific imaging modes and applications

    Device Description

    The Signostics Ltd SignosRT is a hand-held, diagnostic ultrasound system with an onscreen display. Its purpose is to acquire ultrasound echo data and display it in B-Mode, M-Mode, or Spectral Doppler (PW Doppler) on an LCD display.

    AI/ML Overview

    The provided text describes the regulatory clearance of the SpeqRT ultrasound system, specifically for an update that includes a new L10 transducer. However, the document does not contain a study that quantitatively proves the device meets specific acceptance criteria in terms of clinical performance or accuracy thresholds.

    Instead, the document focuses on demonstrating substantial equivalence to predicate devices and adherence to safety and performance standards through non-clinical testing. It highlights the addition of a new transducer (L10) and associated software/materials updates.

    Here's the information that can be extracted from the provided text, and where missing information is noted:

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

    The document doesn't explicitly state "acceptance criteria" in the form of quantitative performance thresholds for diagnostic accuracy (e.g., sensitivity, specificity, AUC). Instead, it relies on demonstrating comparable or improved resolution to predicate devices through bench testing and compliance with various safety and performance standards.

    Acceptance Criteria (Implied from substantial equivalence)Reported Device Performance
    Imaging PerformanceSpeqRT L10 imaging performance and measurement accuracy is described as "substantially equivalent" to S3-5 transducer predicate devices. The measured lateral and axial resolution for the SpeqRT L10 is explicitly stated as "less than the S3-5 transducer and predicates 7.5MHz transducer (K090505)", indicating better image resolution.
    Measurement AccuracySpeqRT L10 measurement accuracy is described as "substantially equivalent" to S3-5 transducer predicate devices.
    BiocompatibilityNew materials for the S3, S3-5, and L10 transducers meet ISO-10993 standards (specifically ISO 10993-5:2009, ISO 10993-10:2002, ISO 10993-10:2010, ISO 10993-12:2007).
    Electrical SafetyComplies with IEC 60601-1:2005, ES60601-1:2005, IEC 60601-2-37:2007, IEC 60601-1-2:2007.
    Software Development & VerificationDeveloped and verified according to IEC 62304:2006. Verification reports, traceability, and risk analysis demonstrate the device operates as intended and risks are mitigated.
    Mechanical StressDrop and push testing per ES60601-1; Mechanical Vibration per JIS Z 0232:2004; Drop Test (to concrete): 1 meter.
    EnvironmentalOperating Temperature: 0 to 40°C; Humidity: 20% to 80% RH; Water Resistance: Transducer IPX7 lens, IPX1 probe.
    Acoustic OutputBoth S3-5 and L10 transducers maintain MI and TI to be <1.0 at all times (implied for safety, not a direct performance metric but a constraint).
    Risk AnalysisISO-14971 applied, concluding the device is safe for its intended use and does not pose unacceptable risks.

    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 refers to "bench tested for imaging performance and measurement accuracy" and "tested by independent laboratories," but does not specify sample sizes for these tests, details on the data (e.g., phantoms, ex-vivo, or in-vivo data), or its provenance.

    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 provided. As the study primarily involves non-clinical bench testing and compliance with standards, there's no mention of human experts establishing ground truth in a clinical context for a "test set."

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

    This information is not provided. No clinical studies with expert adjudication are described.

    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

    There is no mention of an MRMC comparative effectiveness study, nor any AI assistance in the context of this device. The device is a diagnostic ultrasound system, not an AI-powered image analysis tool.

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

    This is not applicable. The device is an ultrasound imaging system, which inherently requires a human operator (sonographer/clinician) for image acquisition and interpretation. It is not an algorithm performing a standalone diagnostic task.

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

    The document primarily relies on physical measurement standards and laboratory testing as its "ground truth" for technical performance (e.g., resolution, accuracy of measurements on phantoms). For safety and biocompatibility, the ground truth is defined by the compliance requirements of various ISO and IEC standards. There is no mention of clinical ground truth derived from expert consensus, pathology, or outcomes data.

    8. The sample size for the training set

    This information is not provided. There is no mention of using a "training set" as the described device is a hardware and software system for image acquisition and display, not a machine learning algorithm that requires a training set.

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

    This information is not provided. As above, there's no mention of a training set.

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