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The Revogene® instrument is intended for in vitro diagnostic (IVD) use in performing nucleic acid testing of specific IVD assays in clinical laboratories. Revogene is capable of automated lysis and dilution of samples originating from various clinical specimen types. Revogene performs automated amplification and detection of target nucleic acid sequences by fluorescence-based real-time PCR.

The Revogene is a PCR instrument that automates lysis and dilution of samples, followed by nucleic acid amplification, and detection of target sequences by fluorescence-based real-time PCR. Revogene runs are orchestrated by a combination of software, firmware and instrument control protocol that ensures the adequate combination times and temperatures for sample homogenization and PCR analysis. The Revogene instrument acquires fluorescence signals generated during amplification. The signals are then interpreted by the system using embedded calculation algorithms.

The Revogene requires the use of a 'PIE', i.e., an assay-specific cartridge to which a patient sample is added. The PIE contains the reagents needed to process a sample and to perform a PCR amplification. When the number of assay PIEs to be run is lower than eight, the user fills empty spaces with "MOCK PIE", which are cartridges that simulate the presence of an assay PIE to confer thermal and rotational balance.

The Revogene instrument subject of this Premarket Notification is substantially equivalent to the Revogene instrument cleared under K222779. Meridian is submitting this 510(k) Premarket Notification to implement a photomultiplier tube (PMT) cooling system. This cooling system keeps the PMT environment at a temperature that prevents the appearance of fluorescence glitches, which may stop the Revogene instrument

The provided document is a 510(k) Premarket Notification for a modified medical device, the Revogene instrument. It focuses on the changes made to an existing device (K222779) and its substantial equivalence to the predicate device.

The document does not contain information about acceptance criteria or a detailed study proving the device meets specific acceptance criteria, as one might find in a clinical trial report for an initial device clearance.

Instead, it describes the performance characteristics of functional testing conducted to demonstrate that the modifications (PMT cooling system and Windows 10 upgrade) do not adversely affect the device's performance compared to the predicate. The goal of this submission is to show substantial equivalence, not to establish new performance acceptance criteria.

Therefore, I cannot provide a table of acceptance criteria and reported device performance in the traditional sense, nor can I answer many of your specific questions about study design, sample sizes, ground truth establishment, or expert adjudication, as this information is not present in the provided text.

However, I can extract the available information regarding the functional testing that was performed to support the substantial equivalence claim.

Summary of Available Information on Device Performance and Testing:

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

The document does not explicitly state quantitative acceptance criteria. Instead, it describes general observations and conclusions from functional testing. The implicit acceptance criterion is "no statistically significant differences" and "operates as expected and yields expected assay results."

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

• Sample Size for Test Set: The document states "contrived and negative samples in relevant clinical matrix using the following assays...". However, it does not specify the number of samples or runs used for this functional testing.
• Data Provenance: Not explicitly stated, but given it's a regulatory submission by a US company, the testing would typically be conducted according to established protocols within their R&D or QA departments. It is retrospective relative to the design changes, but the testing itself is performed to support the new device version. No information on country of origin of data beyond the manufacturer's location.

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

• This information is not provided as the testing described is functional performance testing of the instrument, not typically involving expert interpretation of patient samples for ground truth establishment. The "ground truth" here is the expected performance of control samples within the assays.

4. Adjudication method for the test set

• This is not applicable/provided. The testing focuses on the instrument's functional output (e.g., Ct values, glitch occurrence) rather than interpretation of results that would require adjudication.

5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done

• No, this was not done. The device is an instrumentation for clinical multiplex test systems, meaning it processes samples and detects nucleic acids. It does not output images or data that require human readers for interpretation in the way an AI diagnostic imaging device would. Therefore, an MRMC study is not relevant to this type of device or its modifications.

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

• The device itself is a standalone instrument that performs automated lysis, dilution, amplification, and detection. The "algorithm" here refers to the embedded calculation algorithms within the system that interpret fluorescence signals to determine results. The functional testing described is a form of standalone performance evaluation for the modified instrument. There is no human-in-the-loop component mentioned for the actual nucleic acid detection and interpretation process of the instrument.

7. The type of ground truth used

• The ground truth for the functional testing appears to be based on the expected outcomes from known contrived and negative samples when run with specific IVD assays (Revogene® Strep A, Revogene® Carba C and Revogene® SARS-CoV-2). Essentially, the "ground truth" is the established performance of the assays themselves on control materials, and the instrument must correctly process these, showing no statistical degradation from the predicate.

8. The sample size for the training set

• This information is not provided and is generally not applicable in the context of hardware modifications to an existing IVD instrument as described. The "training set" concept is typically relevant for machine learning algorithms, which are not detailed here beyond "embedded calculation algorithms" that likely leverage established PCR physics and signal processing rather than iterative machine learning training.

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

• This information is not provided as there is no mention of a traditional "training set" in the machine learning sense. The established performance of the assays with known control materials serves as the reference for evaluating the modified instrument.

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