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510(k) Data Aggregation

    K Number
    K160810
    Manufacturer
    Date Cleared
    2016-05-20

    (57 days)

    Product Code
    Regulation Number
    892.1680
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    ViZion DR + Wireless

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

    Intended for digital image capture use in general radiographic examinations, wherever conventional screen-film systems may be used, excluding fluoroscopy, angiography and mammography. ViZion DR + Wireless allows imaging of the skull, chest, shoulders, spine, abdomen, pelvis, and extremities.

    Device Description

    The ViZion DR + Wireless system represents the straightforward integration of a modified digital x-ray receptor panel and our previously cleared software. This is a MODIFICATION of our clearance K152279 wherein we have changed the panel scintillator to Cesium Iodide in addition to having the GOS scintillator available. Changing the scintillator is the only modification.

    ViZion DR + Wireless is a Digital Radiography system, featuring an integrated flat panel digital detector (FPD). ViZion DR + Wireless is designed to perform digital radiographic examinations as a replacement for conventional film. This integrated platform provides the benefits of PACS with the advantages of digital radiography for a filmless environment and improves cost effectiveness. The major functions and principle of operation of the Viztek PACS and the new receptor panel were not changed.

    AI/ML Overview

    Here's an analysis of the provided text regarding the acceptance criteria and study for the Vizion DR + Wireless device, presented in the requested format:

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

    The document describes a modification to an existing device (K152279) where the scintillator material was changed from Gadolinium Oxysulfide (GOS) to Cesium Iodide (CSI). The primary acceptance criteria for equivalence appear to be related to imaging performance metrics (MTF and DQE) and clinical image quality.

    Acceptance Criteria / CharacteristicPredicate Device (Viztek ViZion DR + Wireless K152279 - GOS Scintillator)Modified Device (ViZion DR + Wireless, CSI Scintillator)Performance vs. Predicate
    Intended UseUnchangedUnchangedEquivalent
    ConfigurationUnchangedUnchangedEquivalent
    Digital Panel (size, pixel size)iRay Technology Mars1417V-PSI 14" x 17", 150 µmiRay Technology Mars1417V-TSI 14" x 17", 150 µmNot a meaningful difference
    Internal image storage200 full size imagesUnchangedEquivalent
    Image acquisition time0.75)
    DQE (0.5 (1/mm))0.270.55Better (0.55 > 0.27)
    InterfaceUnchangedUnchangedEquivalent
    Power sourceUnchangedUnchangedEquivalent
    Electrical safety and EMCComplies with IEC 60601-1, IEC 60601-1-2, FCC Part 15SameEquivalent
    Clinical Image QualityPredicate panel imagesModified panel imagesAs good as or better

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

    • Sample Size for Test Set: Not explicitly stated for either the quantitative (MTF/DQE) or clinical image evaluation. For the clinical images, it states "Clinical images were acquired," implying a set of images, but no number is given.
    • Data Provenance: Not explicitly stated. The document is from the US FDA, and the company address is in North Carolina, USA, suggesting the study was likely conducted in the USA, but this is not confirmed. It is implied to be prospective or specifically acquired for this evaluation, as it mentions "Clinical images were acquired and evaluated..."

    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)

    • Number of Experts: One
    • Qualifications of Experts: "a board certified radiologist" (no mention of years of experience).

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

    • Adjudication Method: None. A single board-certified radiologist performed the evaluation.

    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

    • MRMC Study: No. The study described is a comparison of two imaging technologies (different scintillators), not an AI-assisted reading study. The device is a digital X-ray receptor, not an AI diagnostic tool.

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

    • Standalone Performance: Not applicable. This device is an imaging acquisition system, not an AI algorithm. The performance evaluation focuses on the image quality produced by the system itself before interpretation. The quantitative metrics (MTF, DQE) are "standalone" in the sense that they measure the physical performance of the sensor, but this is not an AI algorithm.

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

    • Type of Ground Truth:
      • For MTF and DQE: These are objective physical measurements of image quality, not dependent on a "ground truth" derived from patient data in the same way clinical diagnostics are. They are measured against known physical standards.
      • For Clinical Image Quality: The "ground truth" for clinical image quality comparison was the subjective opinion of a board-certified radiologist, who evaluated whether images from the modified panel were "as good as or better than" images from the predicate panel. This is a form of expert opinion/subjective evaluation rather than an objective clinical endpoint like pathology.

    8. The sample size for the training set

    • Training Set Sample Size: Not applicable. The Vizion DR + Wireless is a hardware device (digital X-ray detector) and associated software, not a machine learning or AI algorithm that requires a "training set" in the conventional sense. The "software" was previously cleared and confirmation testing was performed after the hardware modification.

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

    • Ground Truth for Training Set: Not applicable, as there is no "training set" for this type of device.
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    K Number
    K152279
    Manufacturer
    Date Cleared
    2015-09-10

    (29 days)

    Product Code
    Regulation Number
    892.1680
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    ViZion DR + Wireless

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

    Intended for digital image capture use in general radiographic examinations, wherever conventional screen-film systems may be used, excluding fluoroscopy, angiography and mammography. ViZion DR + Wireless allows imaging of the skull, chest, shoulders, spine, abdomen, pelvis, and extremities.

    Device Description

    The ViZion DR + Wireless system represents the straightforward integration of a modified digital x-ray receptor panel and our previously cleared software. This is a MODIFICATION of our clearance K123644 wherein we have changed panel to a wireless version of the previously cleared panel/software combination. Going wireless (with batterv operation possible) are the ONLY modifications.

    ViZion DR + Wireless is a Digital Radiography system, featuring an integrated flat panel digital detector (FPD). ViZion DR + Wireless is designed to perform digital radiographic examinations as a replacement for conventional film. This integrated platform provides the benefits of PACS with the advantages of digital radiography for a filmless environment and improves cost effectiveness. The major functions and principle of operation of the Viztek PACS and the new receptor panel were not changed. Our predicate is ViZion DR +, K123644. We do not supply the router, but any router meeting the IEEE 802.11 a/b/g/n specifications will work. With the advent of AED (automatic exposure detection) by the panel, integration with or connection to specific generators is no longer required. If the user decides NOT to use AED, wired synchronization with Sedecal Series SHF generators is known to work.

    AI/ML Overview

    Here's a breakdown of the acceptance criteria and study information for the Viztek ViZion DR + Wireless device based on the provided text:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document provided does not explicitly state formal "acceptance criteria" in a quantitative, measurable sense for the device, beyond equivalence to a predicate device. Instead, it focuses on demonstrating substantial equivalence through a comparison of technical specifications and performance characteristics, some of which could be considered de-facto acceptance criteria derived from the predicate's performance.

    Criterion (Implied/Predicate Based)Predicate Device Performance (Viztek ViZion + DR K123644)Vizion DR + Wireless Performance
    Intended UseGeneral radiographic examinations (skull, chest, shoulders, spine, abdomen, pelvis, extremities), excluding fluoroscopy, angiography, mammographyUNCHANGED (Same)
    Digital Panel - Pixel size150 µm150 µm
    Digital Panel - Pixels2288x2800 (6.4 million pixels)2304x2800 (6.4 million pixels)
    Software OutputDICOM imageSAME as K123644
    DICOM 3YesYES
    A/D Conversion14 bitSAME
    MTF (0.5 (1/mm)0.750.75 (Essentially the same)
    DQE (0.5 (1/mm)0.230.27 (Essentially the same)
    ScintillatorGOS scintillation screenUNCHANGED
    InterfaceGigabit EthernetWired: Gigabit Ethernet (1000BASE-T); Wireless: IEEE802.11a/b/g/n
    Power SourceAC LineAC Line and/or Rechargeable Lithium Battery (3 hr run time)
    Electrical SafetyIEC 60601-1SAME
    EMCIEC 60601-1-2SAME, plus complies with FCC Part 15 Rules and Regulations
    Image QualityImplied to be acceptable based on predicate clearance"as good as or better than the images acquired with the predicate panel"

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

    • Sample Size for Test Set: The document simply states "Clinical images were acquired" and "bench, and test laboratory results." It does not specify the number of clinical images or cases used for evaluation.
    • Data Provenance: The document does not explicitly state the country of origin. Given the submission is to the U.S. FDA, it is likely that the clinical image acquisition was performed in the U.S. The study appears to be prospective in the sense that new images were acquired specifically for this evaluation.

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

    • Number of Experts: One board-certified radiologist.
    • Qualifications: "board certified radiologist." No specific tenure or experience level is mentioned beyond board certification.

    4. Adjudication Method for the Test Set

    • Adjudication Method: None mentioned. A single radiologist evaluated the images.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    • No, a MRMC comparative effectiveness study was not done. The evaluation was based on a single radiologist's assessment of clinical images from the new panel compared to the predicate, and bench testing.

    6. Standalone (Algorithm Only Without Human-in-the-Loop Performance) Study

    • Not applicable / not a software-only algorithm. The device is a digital X-ray receptor panel (hardware) with associated software. The "performance" being evaluated is of the integrated system and its ability to produce diagnostic images. The comparison focuses on the image quality produced by the device, which is inherently designed for human interpretation.

    7. Type of Ground Truth Used

    • Expert Consensus / Expert Interpretation: The ground truth for image quality was established by the interpretation of a single board-certified radiologist. There is no mention of pathology, outcomes data, or other objective measures for ground truth.

    8. Sample Size for the Training Set

    • Not applicable / Not explicitly a machine learning model requiring a training set. The device is primarily a hardware modification (wireless panel) to an existing cleared system. While there's "software," the document states "Since no software modifications were required, confirmation testing was performed." This suggests the software itself was not re-trained or developed with a new dataset for this specific submission, but rather integrated with the new wireless panel.

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

    • Not applicable. As stated above, a distinct "training set" for a machine learning model isn't indicated as part of this device's submission or the testing described.
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