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510(k) Data Aggregation
(109 days)
VITROS CHEMISTRY PRODUCTS TRIG SLIDES
For in vitro diagnostic use only. VITROS Chemistry Products TRIG Slides quantitatively measure triglyceride (TRIG) concentration in serum and plasma using VITROS® Systems. Triglyceride measurements are used in the diagnosis and treatment of patients with diabetes mellitus, nephrosis, liver obstruction, other diseases involving lipid metabolism, or various endocrine disorders.
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The provided document describes a 510(k) summary for a modified medical device, the "VITROS Chemistry Products TRIG Slides," and references a study conducted to demonstrate substantial equivalence to a predicate device. This is a Special 510(k) submission, indicating that the modifications did not alter the fundamental scientific technology or intended use, but rather involved changes to the product that necessitated new verification and validation. Therefore, the study described focuses on demonstrating that the modified device continues to meet established performance criteria.
Here's a breakdown of the requested information based on the provided text:
1. Table of Acceptance Criteria and Reported Device Performance
The document does not explicitly present a table of acceptance criteria with corresponding performance metrics in a pass/fail format. Instead, it states that various performance characteristics were considered for potential hazards and that validation and verification testing were conducted and the modified device met the pre-determined acceptance criteria for all the performance testing.
The characteristics considered, implying where acceptance criteria would have been applied, are:
Performance Characteristic | Reported Device Performance |
---|---|
Accuracy | Met pre-determined acceptance criteria. (Implies performance within acceptable limits for comparison to a reference method or the predicate device.) |
Precision | Met pre-determined acceptance criteria. (Implies acceptable variability in results.) |
Linearity | Met pre-determined acceptance criteria. (Implies accurate measurement across the specified assay range.) |
Potential Interferents | Met pre-determined acceptance criteria. (Implies results are not significantly affected by common interferents.) |
Long term and On-analyzer Stability | Met pre-determined acceptance criteria. (Implies acceptable performance over time and during use on the analyzer.) |
Limit of Detection | Met pre-determined acceptance criteria. (Implies ability to detect triglycerides at the lower end of the assay range.) |
Specimen Type | Met pre-determined acceptance criteria. (Implies acceptable performance with both serum and plasma.) |
2. Sample Size Used for the Test Set and Data Provenance
The document does not explicitly state the sample size used for the test set or the data provenance (country of origin of the data, retrospective or prospective). This information is typically detailed in the validation and verification reports, which are summarized in the 510(k) but not fully reproduced here.
3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts
This information is not provided. For this type of in vitro diagnostic device (IVD), ground truth is established through reference methods or comparative studies with an established predicate device, rather than expert interpretation of images or other subjective data. Therefore, "experts" in the context of establishing ground truth for a clinical diagnostic test would typically refer to laboratory professionals performing the reference measurements, for which specific qualifications might not be explicitly stated in the 510(k) summary itself.
4. Adjudication Method for the Test Set
This information is not applicable and therefore not provided. Adjudication methods (like 2+1, 3+1) are typically used in studies involving subjective interpretation, such as image analysis, where multiple readers provide opinions that might need to be resolved. For an IVD device measuring a quantitative analyte like triglycerides, the "ground truth" is established by a reference method or predicate device, and differences are analyzed statistically, not through direct adjudication of expert opinions on the test results.
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
An MRMC comparative effectiveness study was not done. This is an In Vitro Diagnostic (IVD) device for measuring triglyceride concentration, not an AI-assisted diagnostic imaging or interpretation device that would involve human readers and AI assistance.
6. If a Standalone (i.e. algorithm only without human-in-the-loop performance) was done
This concept is not directly applicable to this device in the way it is typically understood for AI-based algorithms. The device itself performs the measurement (algorithmically via chemical reactions and spectrophotometry). The study implicitly evaluates the "standalone" performance of the modified VITROS Chemistry Products TRIG Slides by comparing its results to a predicate device and ensuring it meets established specifications (accuracy, precision, etc.). There is no "human-in-the-loop" component in the direct measurement process of this specific IVD device.
7. The Type of Ground Truth Used
For this IVD device, the "ground truth" would have been established by:
- Reference Methods: Highly accurate and precise laboratory methods for triglyceride measurement.
- Predicate Device Comparison: The performance of the modified device was compared to the legally marketed predicate device (VITROS Chemistry Products TRIG Slides cleared on August 3, 1981 (K812029)). This comparison ensures "substantial equivalence" to a device already deemed safe and effective.
The testing considered accuracy, precision, linearity, potential interferents, stability, limit of detection, and specimen type, all of which would be assessed against established scientific and clinical standards, and in comparison to the predicate.
8. The Sample Size for the Training Set
This information is not provided. For a traditional IVD device based on chemical reactions and spectrophotometry, there isn't a "training set" in the machine learning sense. The device's operational parameters (like calibration curves, reaction kinetics) are established through rigorous experimental design and optimization, not by "training" an algorithm on a 'training set' of patient data in the way a modern AI model would be.
9. How the Ground Truth for the Training Set Was Established
As explained above, the concept of a "training set" and establishing ground truth for it, as typically applied to AI/ML devices, is not directly applicable here. The device's function is based on established biochemical principles and analytical chemistry, with its design and performance specifications developed through scientific experimentation and engineering.
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