AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

Biodesign Anal Fistula Plug: For implantation to reinforce soft tissue where a rolled configuration is required, for repair of anal, rectal and enterocutaneous fistulas.
Biodesign Fistula Plug: For implantation to reinforce soft tissue for repair of recto-vaginal or anorectal fistulas.
Biodesign Plastic Surgery Matrix: For implantation to reinforce soft tissue where weakness exists in patients requiring soft tissue repair or reinforcement in plastic or reconstructive surgery.
Biodesign Tissue Graft: For implantation to reinforce soft tissue.

Device Description

All four subject devices of this bundled submission are part of a family of devices manufactured by Cook Biotech Incorporated (CBI) consisting of processed porcine small intestinal submucosa (SIS), a three-dimensional, acellular, collagen-based extracellular matrix (ECM) material. SIS is manufactured by first removing the tunica mucosa from the inner intestinal surface and the serosa and tunica muscularis from the outer surface of the porcine small intestine. Further processing removes the cells and renders the material virally inactive. leaving behind a three- dimensional, decellularized, collagen-rich extracellular matrix.

AI/ML Overview

This document does not contain an acceptance criteria table or a study proving the device meets specific performance criteria. Instead, it is a 510(k) premarket notification of intent to market for several Biodesign devices. The submission aims to demonstrate substantial equivalence to already marketed predicate devices, not to prove performance against specific acceptance criteria.

The core of the submission, as per the snippets provided, is that the subject devices are largely identical to their predicate devices, with the only change being the inclusion of additional rehydration fluid options in the instructions for use (IFUs).

Here's a breakdown of the requested information based on the provided text, highlighting what is present and what is absent:

1. A table of acceptance criteria and the reported device performance:
* Absent. This document does not present specific acceptance criteria with corresponding performance data. The submission focuses on demonstrating substantial equivalence to predicate devices, which implies that the device's performance is expected to be similar or equal to that of the predicates. The closest information is a comparison of characteristics between the subject devices and predicate devices (Table 5-3 on page 8).

2. Sample size used for the test set and the data provenance (e.g., country of origin of the data, retrospective or prospective):
* Absent. The document mentions "Mechanical testing (burst strength, tensile strength, suture retention strength and delamination testing) performed on devices rehydrated with new rehydration fluid options" to demonstrate no negative effects on mechanical properties. However, it does not specify the sample size used for these tests, the data provenance, or whether the study was retrospective or prospective.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g., radiologist with 10 years of experience):
* Not applicable / Absent. This type of information is typically relevant for studies involving human interpretation (e.g., diagnostic imaging). This submission describes mechanical testing of a medical device (surgical mesh), not expert-based assessment.

4. Adjudication method (e.g., 2+1, 3+1, none) for the test set:
* Not applicable / Absent. Similar to point 3, adjudication methods are usually for expert consensus on results, which is not described here for mechanical testing.

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:
* Not applicable. This submission pertains to a surgical mesh, not an AI-assisted diagnostic device. Therefore, no MRMC study or AI-related effectiveness analysis is presented.

6. If a standalone (i.e., algorithm only without human-in-the-loop performance) was done:
* Not applicable. This is not an algorithm or AI device.

7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.):
* The "ground truth" for the mechanical testing would be the measured mechanical properties (burst strength, tensile strength, suture retention strength, delamination) of the device. The aim was to show that these properties, when rehydrated with new fluid options, were comparable to those rehydrated with saline. The text states: "...demonstrate the devices still performed as expected and there were no negative effectives on the mechanical properties."

8. The sample size for the training set:
* Not applicable. There is no "training set" as this is not an AI/machine learning device.

9. How the ground truth for the training set was established:
* Not applicable. As there is no training set, this information is not relevant.

In summary, the provided document is a 510(k) summary focused on demonstrating substantial equivalence for modifications to existing surgical mesh devices, primarily concerning rehydration fluid options. It describes mechanical testing performed to ensure the modified devices retain expected properties but does not detail acceptance criteria or study specifics in the format requested, which is typical for performance studies of AI/diagnostic devices.

§ 878.3300 Surgical mesh.

(a)
Identification. Surgical mesh is a metallic or polymeric screen intended to be implanted to reinforce soft tissue or bone where weakness exists. Examples of surgical mesh are metallic and polymeric mesh for hernia repair, and acetabular and cement restrictor mesh used during orthopedic surgery.(b)
Classification. Class II.