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510(k) Data Aggregation
(158 days)
SPEEDFIX SUTURE SYSTEM
The SpeedFix Suture Implant with inserter is indicated for use in fixation of soft tissue to bone. Examples of such procedures include:
Shoulder: Bankart Repair, SLAP lesion repair, acromio-clavicular separation, rotator cuff repair, capsule shift/capsule-labral reconstruction, biceps tenodesis and deltoid repair Ankle: Lateral instability, medial instability, Achilles tendon repair/reconstruction and midfoot reconstruction
Foot: Hallux valgus reconstruction
Elbow: Tennis elbow repair, biceps tendon attachment
Knee: Extra-capsular repairs: reattachment of: medial collateral ligament, posterior oblique ligament or joint capsule closure to anterior proximal tibia; extra capsular reconstruction, ITB tenodesis; patellar ligament and tendon avulsions
The SpeedFix Suture Implant is a bone anchor that facilitates the attachment of tissue to bone. The SpeedFix Suture System consists of an implant and associated instruments for installation of the implant that is designed for specific indications in arthroscopic and orthopedic procedures.
The following device-specific instrumentation is part of this submission:
SpeedLock Drill, Bone Drill
Bone Hole Locator
SpeedLock Drill Guide, Drill Guide
Here's an analysis of the provided text regarding the SpeedFix Suture System (K101437), focusing on acceptance criteria and the supporting study:
1. Table of Acceptance Criteria and Reported Device Performance
The provided document describes a substantial equivalence determination, not a study setting specific numeric acceptance criteria for performance such as accuracy, sensitivity, or specificity. Instead, the "acceptance criteria" are based on demonstrating that the SpeedFix Suture System is as safe and effective as the predicate device (Opus® SpeedLock® Knotless Fixation Device K090615).
Acceptance Criteria Category | Specific Criteria (Implied by Substantial Equivalence and Testing) | Reported Device Performance (as described in the document) |
---|---|---|
Intended Use | Same intended use as the predicate device. | "The SpeedFix Suture Implant is indicated for use in fixation of soft tissue to bone." This matches the general intended use described for the predicate by virtue of substantial equivalence. Specific examples of procedures are listed for both. |
Technical Characteristics/Safety & Effectiveness | Either the same technical characteristics, or different characteristics that are demonstrated to be as safe and effective. | "The SpeedFix Suture Implant design and technology is substantially equivalent to the existing SpeedLock Knotless Fixation Device [K090615]." |
Biocompatibility | Materials are well characterized and have been used in predicate devices with similar indications. | "Furthermore, the materials are well characterized and have been used in predicate devices with similar indications." |
Mechanical Performance | Performance in in vitro testing (static and cyclic fatigue) is comparable to the predicate device. | "Side by side comparison bench testing was performed on the proposed and predicate device per the US FDA Guidance Document for Testing Bone Anchors. The in vitro testing conducted involved insertion of the anchors in a simulated human bone substrate followed by both static and cyclic fatigue testing." The document states that "The differences between the SpeedFix and the predicate device do not raise any questions regarding the safety and effectiveness of the implant." This implies comparable performance. |
2. Sample Size Used for the Test Set and Data Provenance
- Sample Size: The document does not specify a numerical sample size (e.g., number of anchors, number of tests). It only states "in vitro testing conducted involved insertion of the anchors in a simulated human bone substrate followed by both static and cyclic fatigue testing."
- Data Provenance: The testing was "in vitro," meaning it was conducted in a laboratory setting, not with human or animal subjects. The data is thus retrospective in the sense that it evaluates the device's characteristics, but it's not clinical data. The country of origin for the data is not specified, but the manufacturer is ArthroCare Corporation in Sunnyvale, CA, USA, so it's likely U.S.-based or from a facility associated with the U.S. company.
3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts
Not applicable. This was a bench test (in vitro mechanical testing) comparing a new device to a predicate device based on FDA guidance for bone anchors. It did not involve expert review or establishment of "ground truth" in the diagnostic context.
4. Adjudication Method for the Test Set
Not applicable. There was no expert review or adjudication process, as the "test set" was mechanical testing of the device itself.
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 device is a surgical implant (suture system/bone anchor), not a diagnostic or AI-assisted device. Therefore, MRMC studies involving human readers and AI assistance are not relevant to this submission.
6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done
Not applicable. This is a medical device (implantable hardware), not an algorithm or AI system.
7. The Type of Ground Truth Used (expert consensus, pathology, outcomes data, etc.)
For the in vitro bench testing, the "ground truth" can be considered the objective mechanical properties and performance characteristics (e.g., pull-out strength, fatigue resistance) measured according to established engineering and material science standards outlined in the "US FDA Guidance Document for Testing Bone Anchors." The "truth" is whether the new device's performance falls within an acceptable range compared to that of the predicate device, demonstrating equivalent safety and effectiveness based on these measurable physical properties.
8. The Sample Size for the Training Set
Not applicable. This device is not an AI/ML algorithm that requires a "training set."
9. How the Ground Truth for the Training Set Was Established
Not applicable. As above, this device does not involve a training set.
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