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510(k) Data Aggregation
(71 days)
When intended to promote fusion of the cervical spine and the thoracic spine, (C1-T3), the Endius Minit Posterior Cervical and Upper Thoracic Fixation System is indicated for the following:
DDD (neck pain of discogenic origin with degeneration of the disc confirmed by history and radiographic studies), spondylolisthesis, spinal stenosis, fracture, dislocation, failed previous fusion and/or tumors.
Hooks and Rods
The hooks and rods are also intended to provide stabilization to promote fusion following reduction of fracture/dislocation or trauma in the cervical/upper thoracic (C1-T3) spine.
Screws/Connectors
The use of screws is limited to placement in the T1-T3 in treating thoracic conditions only. Screws are not intended to be placed in the cervical spine.
Axial and Offset Rod Connectors
The Minit Posterior Cervical and Upper Thoracic Fixation System can also be linked to the TiTLE and TiTLE2 Polyaxial Spinal Systems offered by Endius Inc. using the Axial Rod Connectors, Dual Rod Connectors and the Tri Screw Dual Rod Connectors.
The proposed Endius Minit Posterior Cervical and Upper Thoracic Fixation System is a posterior system, which consists of a variety of sizes of rods, hooks, screws, multi-axial screws and connecting components, which can be rigidly locked to the rod in a variety of configurations. The Minit System is fabricated from medical grade titanium alloy that complies with ASTM F136.
The provided text is a 510(k) Premarket Notification for the Endius Minit Posterior Cervical and Upper Thoracic Fixation System. This document focuses on demonstrating substantial equivalence to a predicate device through general device description, indications for use, and a statement about mechanical test results. It does not contain information about specific acceptance criteria, a detailed study design with sample sizes, expert involvement, or adjudication methods for establishing ground truth, which are typically found in studies evaluating device performance against pre-defined criteria.
Therefore, most of the requested information cannot be extracted from this document.
Here's what can be stated based on the provided text:
1. A table of acceptance criteria and the reported device performance:
This information is not present in the provided 510(k) summary. Acceptance criteria and specific performance metrics would typically be detailed in a separate test report or study. The document only generally states: "Documentation, including mechanical test results, has been provided which demonstrates that the proposed Endius Minit Posterior Cervical and Upper Thoracic Fixation System components are substantially equivalent to legally marketed similarly indicated predicate devices which have been tested in a similar manner."
2. Sample size used for the test set and the data provenance:
This information is not provided. The document mentions "mechanical test results" but does not specify the sample size of the components tested or the provenance of any data.
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. Expert involvement in establishing ground truth (e.g., for clinical outcomes) is not mentioned as this document primarily concerns mechanical equivalence.
4. Adjudication method 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 type of study is irrelevant and not mentioned. The device is a spinal fixation system, not an AI or imaging diagnostic tool that would involve human readers.
6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done:
This is not applicable as the device is a medical implant, not an algorithm.
7. The type of ground truth used:
This information is not provided. For a mechanical device, "ground truth" would typically relate to established engineering standards or performance benchmarks for similar devices, but these are not detailed in this summary. The document mentions "mechanical test results" as evidence of substantial equivalence.
8. The sample size for the training set:
This is not applicable as this is a medical device, not a machine learning model requiring a training set.
9. How the ground truth for the training set was established:
This is not applicable as this is a medical device.
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