K Number
K191701
Date Cleared
2019-11-15

(143 days)

Product Code
Regulation Number
882.4460
Panel
NE
Reference & Predicate Devices
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

The Arcus Head Fixation Frame is intended for use as a device to clamp and hold the patient's head in a particular position for procedures requiring Magnetic Resonance Imaging (MRI) of the brain structure and targets.

Device Description

The Arcus Head Fixation Frame is a re-usable, non-sterile device designed to clamp and hold the patient's head in a particular position for procedures requiring Magnetic Resonance Imaging (MRI) of the brain structure and targets. It consists of a Ring that secures the patient's skull with skull pins, a Base that secures the Ring, and Posts that hold Fixation Screws. The device is secured to the scanner table. It is designed for use with specific Siemens MRI Scanners. The device is MR Conditional and contains brass inserts and titanium pin tips.

AI/ML Overview

This document describes a 510(k) premarket notification for the Arcus Head Fixation Frame. It does not contain information about the acceptance criteria and study designs that are typically associated with artificial intelligence/machine learning (AI/ML) powered medical devices. The device described in this document is a physical medical device (neurosurgical head holder/skull clamp), not an AI/ML algorithm.

Therefore, I cannot provide the requested information about acceptance criteria and study details for an AI/ML device based on this text.

However, I can extract the relevant performance data and comparisons for the physical device as presented in the document:

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

The document does not explicitly present "acceptance criteria" in a tabular format as would be seen for an AI/ML device's performance metrics (e.g., sensitivity, specificity thresholds). Instead, it states that "Testing confirmed the Arcus HFF met the Product Specification Requirements." The performance data is primarily focused on demonstrating equivalence to a predicate device and confirming basic functionalities and safety for an MRI environment.

CharacteristicAcceptance Criteria (Implied)Reported Device Performance (Arcus Head Fixation Frame)
Head FixationSecure patient's skull to HFF.Bench testing performed to verify Arcus HFF secures the patient's skull to the HFF. Functions as intended.
MR Safety (Heating)Meet product specification requirements for heating in MR environment.Testing confirmed Arcus HFF met Product Specification Requirements. MR Conditional.
MR Safety (Image Distortion)Meet product specification requirements for image distortion in MR environment.Testing confirmed Arcus HFF met Product Specification Requirements.
MR Safety (Magnetic Attraction)Meet product specification requirements for magnetic attraction in MR environment.Testing confirmed Arcus HFF met Product Specification Requirements. MR Conditional.
Biological EvaluationConform to ISO 10993-1.Utilized ISO 10993-1. (Implied conformance as part of substantial equivalence).
Displacement Force in MR EnvironmentConform to ASTM F2052.Utilized ASTM F2052. (Implied conformance as part of substantial equivalence).
MR Image Artifacts from Passive ImplantConform to ASTM F2119-07.Utilized ASTM F2119-07. (Implied conformance as part of substantial equivalence).
Substantial Equivalence to PredicateSame intended use, indications for use, and substantially similar technological characteristics.Has identical intended use and indications for use. Technological characteristics are substantially similar, with minor differences raising no new safety/effectiveness issues.

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 applicable and therefore not provided in the document, as it pertains to a physical device evaluation through bench testing, not an AI/ML algorithm trained and tested on data.

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 applicable as this is a physical device submission without data-driven ground truth. The "ground truth" for this device would be its physical properties and performance under specific test conditions, established through engineering and safety standards.

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

This information is not applicable as it is a physical device evaluation, not a clinical study involving reader performance or expert adjudication.

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

This information is not applicable as the device is a physical head fixation frame, not an AI-powered diagnostic or assistive tool.

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

This information is not applicable as the device is a physical head fixation frame, not a standalone AI algorithm.

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

For this physical device, the "ground truth" is established through:

  • Engineering specifications and design: The device is designed to meet certain physical and mechanical criteria.
  • Regulatory standards: Adherence to recognized consensus standards like ISO 10993-1, ASTM F2052, and ASTM F2119-07, which define acceptable physical and biological performance.
  • Bench testing: Direct experimental verification of physical properties (e.g., securing head, MR safety properties).
  • Predicate device comparison: The performance and safety of the device are judged largely against the established performance and safety of a legally marketed predicate device.

8. The sample size for the training set

This information is not applicable as the device is a physical head fixation frame, not an AI/ML algorithm that undergoes training.

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

This information is not applicable for the same reason as above.

§ 882.4460 Neurosurgical head holder (skull clamp).

(a)
Identification. A neurosurgical head holder (skull clamp) is a device used to clamp the patient's skull to hold head and neck in a particular position during surgical procedures.(b)
Classification. Class II (performance standards).