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The NuVasive HELIX Revolution ACP System is intended for anterior screw fixation of the cervical spine. These implants have been designed to provide stabilization as an adjunct to cervical fusion. Indications for the use of this implant system include degenerative disc disease defined as neck pain of discogenic origin with the degeneration of the disc confirmed by history and radiographic studies, spondylolisthesis, trauma, spinal stenosis, deformity, tumor, pseudarthrosis or failed previous fusion.

WARNING: The NuVasive HELIX Revolution ACP System is not intended for screw attachment or fixation to the posterior elements (pedicles) of the cervical, thoracic or lumbar spine.

The NuVasive HELIX Revolution ACP System consists of a variety of plates and screws designed to provide stabilization as an adjunct to cervical fusion.

This document is a 510(k) summary for the NuVasive HELIX Revolution ACP System, a cervical plate and screw system. It is a premarket notification for a medical device seeking substantial equivalence to a predicate device already on the market.

Here's an analysis of the provided text in relation to your request about acceptance criteria and a study proving device adherence:

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

The document does not provide a table of acceptance criteria and reported device performance in the way you've described for an AI/software device. This is a 510(k) submission for a physical medical device (a cervical plate and screw system), which follows different regulatory pathways and testing requirements than software or AI-driven diagnostic tools.

For this type of device, the "acceptance criteria" are implied by the demonstration of "substantial equivalence" to a predicate device. The performance is assessed through mechanical testing against relevant standards or comparisons to the predicate, not typically through metrics like sensitivity, specificity, or AUC as seen in AI studies.

The closest information provided is:

2. Sample size used for the test set and the data provenance

There is no test set sample size described in this document in the context of an AI/software evaluation. The "data provenance" is also not applicable in the way you've defined, as this is a physical medical device. The "testing" referred to (mechanical testing) would involve physical samples of the device components, not a dataset of patient information.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

This information is not applicable to this 510(k) submission. There is no mention of experts establishing a "ground truth" through consensus for a test set, as this is typically relevant for diagnostic AI applications, not a mechanical implant.

4. Adjudication method for the test set

This information is not applicable to this 510(k) submission. Adjudication methods like 2+1 or 3+1 are used in studies involving human interpretation of data, often for establishing ground truth in diagnostic accuracy studies.

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 MRMC comparative effectiveness study mentioned. This type of study is specific to evaluating the impact of AI on human reader performance, which is not relevant for a cervical plate and screw system.

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

There is no standalone performance evaluation mentioned. Again, this is relevant for AI algorithms, not for physical implants.

7. The type of ground truth used

This information is not applicable. The concept of "ground truth" (expert consensus, pathology, outcomes data) as used in AI/diagnostic studies does not apply to the mechanical testing or substantial equivalence claims for a physical implant. The "truth" for this device lies in its mechanical properties meeting relevant standards and its functional equivalence to a legally marketed predicate.

8. The sample size for the training set

There is no training set sample size mentioned. Training sets are used for machine learning models, which are not relevant to this device.

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

This information is not applicable. As there is no training set, there is no ground truth establishment process described.

In summary:

The provided document is a 510(k) premarket notification for a physical medical device (cervical plate and screw system). The regulatory pathway for such a device is based on demonstrating "substantial equivalence" to a predicate device, primarily through mechanical testing and comparison of intended use and principles of operation.

The questions you've posed (acceptance criteria table, sample sizes, expert ground truth, adjudication, MRMC, standalone performance, training sets) are highly specific to the evaluation of AI/software as a medical device (SaMD) or AI-assisted diagnostic tools. These concepts are not addressed or typically relevant in a 510(k) summary for a mechanical implant like the NuVasive HELIX Revolution ACP System.

The closest relevant information is that "Mechanical testing was presented" (Section G), suggesting that tests were conducted to ensure the device's physical properties are suitable and comparable to the predicate, but specific criteria and results are not detailed in this summary. The "acceptance criterion" for the overall submission is the FDA's determination of "substantial equivalence."

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