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The Suture-TOOL System is intended for abdominal wall closure after laparotomy in patients 18 years old and older.

The Suture-TOOL System is a single-use, sterile, suture applicator with a polydioxanone resorbable suture pre-mounted to the needle. The polydioxanone monofilament synthetic absorbable sutures are prepared from polyester, poly(p-dioxanone). The empirical molecular formula of the polymer is as follows: -(O-CH2-CH2-O-CH2-CO)n- The sutures are dyed with D&C Violet No. 2 (21CFR§ 74.3602). The Suture-TOOL System includes the following: • Polydioxanone resorbable suture pre-mounted on the needle – 1055S, 1020S (Suture&Needle). • Suture-TOOL – 1018S (suture applicator). Before use, the user must follow the instructions to attach the needle, preloaded with the suture, to the applicator.

The provided FDA 510(k) clearance letter pertains to the Suture-TOOL System, which is a surgical suture device, not an AI or software-based medical device. Therefore, the information requested regarding acceptance criteria and study proving performance for an AI/software device (sample size, ground truth, expert adjudication, MRMC studies, standalone performance) is largely not applicable to this submission.

However, I can extract the relevant acceptance criteria and performance study information for this physical medical device based on the provided text.

Acceptance Criteria and Study for Suture-TOOL System (Physical Device)

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

The acceptance criteria for the Suture-TOOL System are based on established USP (United States Pharmacopeia) standards for surgical sutures. The performance is reported as meeting or exceeding these criteria.

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

The document does not explicitly state the sample sizes used for the physical and mechanical testing of the sutures (e.g., number of sutures tested for tensile strength, diameter, or needle attachment).

• Sample Size: Not explicitly stated (e.g., "n=" not provided for each test). The text only mentions "Physical testing was performed on the poly(p-dioxanone) synthetic absorbable suture PDO USP 0 to USP 29".
• Data Provenance: Not specified regarding country of origin. The data is derived from physical performance testing of the manufactured device components. It is inherently "prospective" in the sense that the tests are conducted on manufactured products to verify design.

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

This question is not applicable to this physical device submission. Ground truth, in the context of AI/software, refers to expert interpretations or labels. For a surgical suture, the "ground truth" is defined by the objective, quantitative measurements against established USP physical and mechanical standards. No human expert interpretation is involved in establishing the "ground truth" for suture diameter, tensile strength, or needle attachment.

4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

Not applicable. Adjudication methods are typically used for expert consensus in labeling or interpreting data, common in AI/software performance studies. For physical testing of a medical device like a suture, results are quantitative and objective, eliminating the need for adjudication.

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. MRMC studies are specific to evaluating the clinical impact of AI or imaging devices on human reader performance. This submission is for a physical surgical suture, which does not involve "human readers" in the context of interpretation.

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

Not applicable. This device is a physical suture, not an algorithm.

7. The type of ground truth used

The "ground truth" for the Suture-TOOL System's performance is based on pre-defined, objective, quantitative physical and mechanical standards set by the United States Pharmacopeia (USP) for surgical sutures. Specifically, USP standards for Suture Diameter, for Suture Attachment, and for Tensile Strength.

8. The sample size for the training set

Not applicable. As a physical medical device, there is no "training set" in the machine learning sense. The device is manufactured and tested based on established engineering and materials science principles.

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

Not applicable. There is no concept of "ground truth for the training set" for this physical device. The device's design and manufacturing rely on established material properties and engineering standards.

Summary regarding the nature of this 510(k) submission:

This 510(k) submission for the Suture-TOOL System is for a physical medical device (surgical suture). The "study" proving it meets acceptance criteria for FDA clearance predominantly involves physical and mechanical performance testing against recognized industry standards (USP). The questions related to AI/software performance studies (human experts, ground truth adjudication for interpretative tasks, MRMC, standalone algorithm performance, training sets) are therefore not relevant to this specific device and the information provided in the clearance letter. The substantial equivalence claim is primarily based on the device being identical to a previously cleared predicate device, with the addition of a new size (USP 0) that also demonstrated conformance to the same physical and mechanical standards.

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The Suture-TOOL System is intended for abdominal wall closure after laparotomy in patients 18 years old and older.

The Suture-TOOL System is a single-use, sterile, suture applicator with a polydioxanone resorbable suture pre-mounted to the needle. The polydioxanone monofilament synthetic absorbable sutures are prepared from polyester, poly(p-dioxanone). The empirical molecular formula of the polymer is as follows: -(0-CH2-CH2-O-CH2-CO)n- The sutures are dyed with D&C Violet No. 2 (21CFR§ 74.3602) and are available in size 2. The Suture-TOOL System includes the following: - Polydioxanone resorbable suture pre-mounted on the needle -1020S (Suture&Needle). - Suture-TOOL 1018S (suture applicator) Before use, the user must follow the instructions to attach the needle, preloaded with the suture, to the applicator.

The provided text describes the regulatory clearance of a medical device, the "Suture-TOOL System," and compares it to predicate and reference devices. However, it does not contain the specific information required to answer the questions about acceptance criteria and a study proving the device meets those criteria, particularly in the context of an AI/human-in-the-loop study.

This document focuses on the substantial equivalence of a physical surgical device (suture and applicator) based on material properties, performance testing (tensile strength, diameter, needle attachment), biocompatibility, and human factors testing related to its physical use. It does not describe an AI medical device or a study involving human readers and AI assistance for diagnostic or interpretative tasks.

Therefore, I cannot provide the requested information from the given text. The text does not provide:

1. A table of acceptance criteria and reported device performance: While it mentions USP criteria were met or exceeded for physical tests, it doesn't present these as specific acceptance criteria in a table format.
2. Sample size, data provenance, number of experts, adjudication method, MRMC study effect size, standalone performance, type of ground truth, training set size, or how ground truth for training was established. These are all concepts relevant to AI/diagnostic studies, which are not described in this regulatory submission for a physical surgical device.

The study referenced ("Börner and Montgomery, 2020; and Börner et al., 2022") appears to be a nonclinical performance study related to the physical surgical technique (SL/WL ratio, reducing needle stick injuries), not an AI performance study measuring diagnostic accuracy.

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