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Endoform Dental Membrane is specifically intended for use in extraction sockets and soft tissue grafting. The device contains and prevents migration of guided bone regeneration graft material and prevents loss of alveolar height and ridge following tooth extraction. The device is provided sterile and intended for one-time use.

Endoform Dental Membrane is an ovine derived bioabsorbable extracellular matrix intended for application in dental and periodontal procedures. The device is composed of non-cross linked and non-reconstituted collagen. The device is supplied sterile in a variety of sizes and thicknesses which may be trimmed by a licensed dentist or oral surgeon to meet individual patient needs.

The provided text describes the non-clinical testing performed on the Endoform Dental Membrane to demonstrate its safety and performance. However, it does not include information about acceptance criteria for all the tests, nor does it detail a study that defines "device performance" in terms of clinical or comparative effectiveness against specific criteria in the way you've outlined.

Based on the available text, here's a breakdown of the information that is present, and what is not:

1. Table of Acceptance Criteria and Reported Device Performance

Note: The document details numerous non-clinical tests. For many, it states that the device "met the pre-defined specification" or "meets the specification," but it often does not explicitly list the numerical acceptance criteria in this summary. The table below compiles the criteria where they are explicitly mentioned.

2. Sample Size Used for the Test Set and Data Provenance

The document describes several non-clinical tests but does not explicitly state the specific numerical sample sizes for each test set. It mentions "All EDM devices" or "all samples" in some contexts.

For the Animal Performance Testing:

• Sample Size (Test Set): Not explicitly stated how many animals were used, but it was an ovine (sheep) defect model study using "selected timepoints (week 4, 8 and 16)".
• Data Provenance: Prospective animal study conducted in an ovine (sheep) defect model. The country of origin is not specified, but the applicant's address is New Zealand.

3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications

This information is not provided in the document. The non-clinical tests described rely on validated laboratory methods and specifications, which are based on scientific standards rather than expert consensus on a test set in the way clinical diagnostic devices might.

For the animal study, the assessment criteria (resorption, cellular infiltration, inflammatory response, retention of bone grafting material, hard tissue infill) would likely be evaluated by veterinarians or pathologists, but the number and qualifications of these experts are not mentioned.

4. Adjudication Method for the Test Set

This information is not provided as the document focuses on laboratory and animal study results rather than human-read test sets.

5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

No. A MRMC comparative effectiveness study was not performed or described. The document explicitly states: "Clinical data was not required to demonstrate substantial equivalence."

6. Standalone (Algorithm Only Without Human-in-the-Loop Performance) Study

Not applicable. This device is a bioabsorbable extracellular matrix (Endoform Dental Membrane), not an AI algorithm. Therefore, "standalone algorithm" performance is not relevant.

7. Type of Ground Truth Used

The "ground truth" for the various tests conducted for the Endoform Dental Membrane is based on:

• Validated Test Methods: For biochemical content (collagen, GAG, DNA), physical properties (moisture, DSC, permeability, suture retention, modulus, thickness), residual substances (Tx-100, EDTA, PAA), bioburden, endotoxin, and shelf-life. These are quantitative measurements against predefined specifications.
• Standards Compliance: For biocompatibility (ISO 10993 series), sterilization (ISO 11135), and packaging (ASTM standards).
• Histopathological and Macroscopic Assessment: For the animal performance study, evaluating resorption, cellular infiltration, inflammatory response, and bone graft retention based on examinations at specific time points. This likely involves expert evaluation of tissue samples, but it's not "expert consensus" on a diagnostic task, rather assessment of biological outcomes compared to a reference device.
• "Critically sized" defects: The animal study also demonstrated that untreated controls did not completely regenerate bone, indicating the defects were appropriately sized for evaluating the device's performance.

8. Sample Size for the Training Set

Not applicable. This device is a physical medical device, not an AI algorithm. Therefore, there is no "training set."

9. How the Ground Truth for the Training Set Was Established

Not applicable. As above, there is no training set for this type of device.

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Endoform Restella is for implantation to reinforce soft tissue where weakness exists in patients requiring soft tissue repair or reinforcement in plastic and reconstructive surgery. The device is supplied sterile and is intended for one-time use.

Endoform Restella is a surgical mesh manufactured by layering sheets of ovine forestomach matrix to create multi-layer configurations of devices laminated with absorbable polyglycolic acid (PGA) and non-absorbable polypropylene (PP) suture material for use in plastic and reconstructive surgery. The 3-ply devices are available in sizes up to 400 cm² in arced rectangle, contour, and oval shapes.

The provided text is a 510(k) summary for the medical device "Endoform Restella." This document describes the device, its intended use, and how it demonstrates substantial equivalence to a predicate device for FDA clearance.

Here's an analysis of the acceptance criteria and the study that proves the device meets them, based only on the provided text:

1. Table of Acceptance Criteria and Reported Device Performance

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

The document does not specify the exact sample sizes (e.g., number of devices, number of tests performed) for the bench testing.
The data provenance is from non-clinical bench testing. The text does not provide country of origin or whether it's retrospective or prospective, though bench testing is inherently prospective in nature.

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 in the document. Bench testing typically relies on predefined engineering specifications rather than expert consensus on a 'ground truth' in the same way clinical data would.

4. Adjudication method for the test set

This information is not applicable/not provided. Adjudication methods are typically relevant for human-interpreted data (e.g., imaging studies, clinical endpoints), not for objective bench test results like mechanical strength or endotoxin levels.

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

No, a multi-reader multi-case (MRMC) comparative effectiveness study was not done. This device is a surgical mesh; the concept of "human readers" and "AI assistance" is not relevant to its type of evaluation.

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

This question is not applicable to this medical device. The "Endoform Restella" is a physical surgical mesh, not an algorithm or AI performing a task. Its performance is evaluated through physical and material properties, not by an algorithm's output.

7. The type of ground truth used

The ground truth used for the non-clinical performance evaluation was based on product specifications and the characteristics of the predicate device. The device was deemed acceptable if it met these predefined specifications and demonstrated equivalence in key properties to the legally marketed predicate.

8. The sample size for the training set

This information is not applicable/not provided. The "Endoform Restella" is a physical device, not a machine learning algorithm that requires a "training set."

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

This question is not applicable to this medical device.

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