K Number
K122866
Manufacturer
Date Cleared
2013-01-11

(115 days)

Product Code
Regulation Number
892.1680
Panel
RA
Reference & Predicate Devices
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

ViVIX-S with VXvue is indicated for digital imaging solution designed for general radiographic system for human anatomy. It is intended to replace film or screen based radiographic systems in all general purpose diagnostic procedures. Not to be used for mammography and/or for fluoroscopy.

Device Description

ViVIX-S with VXvue is a digital X-ray flat panel detector which has 43x43cm (FXRD-1717SA, FXRD-1717SB) or 35.8x43cm (FXRD-1417SA, FXRD-1417SB) imaging area. The device intercepts x-ray photons and the scintillator emits visible spectrum photons that illuminate an array of photo (a-SI)-detectors that create an electrical signals. After the electrical signals are generated, it is converted to digital value, and the images will be displayed on monitors. This device should be integrated with an operating PC and an X-Ray generator to utilize as digitalizing X-ray images and transfer for radiography diagnostic. Advanced digital imaging process allows considerably efficient diagnosis, all kind of information management, and sharing of image information on network.

AI/ML Overview

Here's a breakdown of the acceptance criteria and study information based on the provided text:

1. Table of Acceptance Criteria and Reported Device Performance

Acceptance Criteria CategorySpecific Test/MetricPredicate Device (K120020)Proposed Device (ViVIX-S with VXvue)Acceptance Status
Non-Clinical PerformanceDetective quantum efficiency (DQE)Not explicitly statedPerformedSatisfactory (Substantially Equivalent)
Quantum limited performanceNot explicitly statedPerformedSatisfactory (Substantially Equivalent)
Modulation transfer function (MTF)Not explicitly statedPerformedSatisfactory (Substantially Equivalent)
Effects of aliasingNot explicitly statedPerformedSatisfactory (Substantially Equivalent)
Sensitivity linearityNot explicitly statedPerformedSatisfactory (Substantially Equivalent)
Lag (Erasure thoroughness)Not explicitly statedPerformedSatisfactory (Substantially Equivalent)
Change in detection sensitivityNot explicitly statedPerformedSatisfactory (Substantially Equivalent)
Dose requirement and reciprocity changesNot explicitly statedPerformedSatisfactory (Substantially Equivalent)
Stability of device characteristics with timeNot explicitly statedPerformedSatisfactory (Substantially Equivalent)
Uniformity of device characteristicNot explicitly statedPerformedSatisfactory (Substantially Equivalent)
Noise power spectrum (NPS)Not explicitly statedPerformedSatisfactory (Substantially Equivalent)
Spatial resolutionNot explicitly statedPerformedSatisfactory (Substantially Equivalent)
Minimum doseNot explicitly statedPerformedSatisfactory (Substantially Equivalent)
Image Acquisition timeNot explicitly statedPerformedSatisfactory (Substantially Equivalent)
Black levelNot explicitly statedPerformedSatisfactory (Substantially Equivalent)
Clinical PerformanceConcurrence Study (Image Comparison)K120020ViVIX-S with VXvueNo significant differences found
Safety and EMCElectrical safety (IEC 60601-1)Not explicitly statedPerformedSatisfactory
EMC (IEC 60601-1-2)Not explicitly statedPerformedSatisfactory

Note: The document states that the non-clinical and clinical studies "show that the ViVIX-S with VXvue is substantially equivalent to the predicate devices in the market." For the clinical study, it specifically notes "no significant differences between the images." This implies the acceptance criteria for these metrics were met by demonstrating equivalence or lack of significant difference compared to the predicate. The specific numerical thresholds for "acceptance criteria" are not provided in this document.

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

  • Sample Size (Test Set): 30 clinical images.
  • Data Provenance: Not explicitly stated regarding country of origin or whether it was retrospective or prospective. It is implied to be clinical data used for comparison.

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

  • Number of Experts: Not specified.
  • Qualifications of Experts: Not specified. The document only mentions a "concurrence study" comparing images, but does not detail the methodology for establishing ground truth or who performed the comparison.

4. Adjudication Method for the Test Set

  • Not specified. The document simply states "A concurrence study of 30 clinical images was conducted to compare the performance... There were no significant differences." It doesn't describe the adjudication process if multiple reviewers were involved or how disagreements were resolved.

5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, and its effect size.

  • No, a multi-reader multi-case (MRMC) comparative effectiveness study was not explicitly stated or described. The clinical study was a concurrence study comparing images from the new device to the predicate, not an assessment of human reader performance with or without AI assistance.

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

  • While the device itself is a digital X-ray flat panel detector (hardware), and the "VXvue" part is advanced digital imaging process, the study described is a comparison of images produced by the device against a predicate, not an "algorithm-only" performance evaluation in the context of AI. The "advanced digital imaging process" implies software components, but its standalone diagnostic performance is not detailed separately from the hardware's image acquisition.

7. The type of ground truth used

  • The implicit "ground truth" for the clinical study was the image quality and diagnostic information provided by the predicate device (K120020). The study aimed to show "no significant differences" between the images of the proposed device and those of the legally marketed predicate. It's a comparison to an established device, rather than an independent expert consensus, pathology, or outcomes data.

8. The sample size for the training set

  • Not applicable/Not specified. This device is a digital X-ray detector, not an AI/ML algorithm that requires a training set in the conventional sense. The "advanced digital imaging process" is mentioned, but there is no indication of a machine learning component requiring a distinct training set. The study focuses on the performance of the imaging hardware and its processing in comparison to the predicate.

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

  • Not applicable/Not specified, as no training set for an AI/ML algorithm is described in this submission.

§ 892.1680 Stationary x-ray system.

(a)
Identification. A stationary x-ray system is a permanently installed diagnostic system intended to generate and control x-rays for examination of various anatomical regions. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.(b)
Classification. Class II (special controls). A radiographic contrast tray or radiology diagnostic kit intended for use with a stationary x-ray system only is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 892.9.