K Number
K011799
Device Name
EVERSTICKNET
Manufacturer
Date Cleared
2001-11-05

(150 days)

Product Code
Regulation Number
872.3760
Panel
DE
Reference & Predicate Devices
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

As reinforcement in manufacturing and/or repairing full or partial dentures as well as overdentures and orthodontic appliances. As reinforcement for temporary and/or permanent plastic/composite partial and full crowns and bridges. As reinforcement for customized splints used to immobilize teeth which may be required for post-trauma, post-operative, or orthodontic therapy.

Device Description

everStickNet™ is a semi-manufactured product made of glass fibers and polymer/resin matrix for reinforcing dental acrylic polymers. everStickNet™ is made of a thin fiberglass fabric, which increase the strength and stiffness of the final product in all directions.

AI/ML Overview

The provided text is a 510(k) summary for the everStickNet™ device, which is a glass fiber reinforcement material. The document focuses on establishing substantial equivalence to a predicate device (fibreNet™) rather than presenting a study with specific acceptance criteria and performance metrics for the everStickNet™ itself.

Therefore, many of the requested details, such as a table of acceptance criteria, sample sizes for test sets, expert ground truth establishment, adjudication methods, MRMC studies, standalone performance, and training set details, are not available in this document.

The core information presented is a comparison to a predicate device and a statement regarding the safety and effectiveness based on that comparison.

Here's a breakdown of what can be extracted based on the provided text:

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

This information is not provided in the document. The filing focuses on substantial equivalence to a predicate device, stating that "Test results indicate that there are no hazards presented with the use of everStickNet™ as compared with the predicate device." It does not define specific performance acceptance criteria for the everStickNet™ in terms of quantifiable metrics.

2. Sample sized 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. The document mentions "Testing which has been performed on everStickNet™" but does not detail the nature of this testing, including sample size or data 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. The assessment appears to be based on technical characteristics and comparison to a predicate device, not on diagnostic or interpretative tasks requiring expert ground truth.

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

This information is not provided.

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 provided. The device is a material for dental reinforcement, not an AI-assisted diagnostic tool.

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

This information is not applicable. The device is a physical material, not an algorithm.

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

This information is not explicitly stated. The "test results" mentioned likely refer to material property testing (e.g., strength, stiffness) rather than a ground truth for diagnostic accuracy or outcomes. The basis for safety and effectiveness is stated as being "as safe and effective as the predicate device" based on "different technological characteristics" that "does not raise new questions of safety and effectiveness."

8. The sample size for the training set:

This information is not applicable/not provided. The device is a material, not a machine learning model that requires a training set.

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

This information is not applicable/not provided.

§ 872.3760 Denture relining, repairing, or rebasing resin.

(a)
Identification. A denture relining, repairing, or rebasing resin is a device composed of materials such as methylmethacrylate, intended to reline a denture surface that contacts tissue, to repair a fractured denture, or to form a new denture base. This device is not available for over-the-counter (OTC) use.(b)
Classification. Class II.