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510(k) Data Aggregation
(30 days)
The Spineology Fortress™ Pedicular Fixation System is intended for posterior, non-cervical fixation as an adjunct to fusion for the following indications: degenerative disc disease (defined as back pain of discogenic origin with degeneration of the disc confirmed by history and radiographic studies); spondylolisthesis; trauma (i.e., fracture or dislocation); spinal stenosis; curvatures (i.e., scoliosis and/or lordosis); tumor; pseudoarthrosis; and/or failed previous fusion.
The Spineology Fortress™ Pedicular Fixation System consists of screws (titanium) and rods (cobalt chrome) to allow the surgeon to build an implant system to fit the patient's anatomical and physiological requirements. The Fortress System screws are available with or without hydroxyapatite coating. The system is intended to provide immobilization and stabilization of spinal segments in skeletally mature patients as an adjunct to fusion in the treatment of acute and chronic instabilities or deformities of the thoracic, lumbar, and sacral spine. The devices are provided sterile. The associated instruments are provided non-sterile.
The provided text describes a 510(k) premarket notification for a medical device called the "Fortress™ Pedicular Fixation System." This document is a regulatory approval, and as such, it focuses on demonstrating "substantial equivalence" to predicate devices rather than proving performance against specific acceptance criteria in the manner one might expect for a new AI/software device.
Therefore, the requested information regarding "acceptance criteria and the study that proves the device meets the acceptance criteria" in the context of an AI/software device is not directly applicable or available in the provided text.
Here's why and what information is available:
- Type of Device: The Fortress™ Pedicular Fixation System is a physical medical implant (pedicle screws and rods) used in spinal fusion surgery. It's not an AI or software device that processes data or makes diagnostic/predictive outputs.
- Regulatory Pathway: The 510(k) pathway is for devices that are "substantially equivalent" to legally marketed predicate devices. This means the primary goal is to show that the new device has the same intended use, technological characteristics, and safety and effectiveness as a previously cleared device. It does not typically involve the kind of performance studies with acceptance criteria, test sets, ground truth, and expert adjudication that would be performed for AI/software.
- "Study" in this Context: The "study" mentioned for this device is the "Coating characterization/analyses" and a "risk analysis." These are focused on the physical properties and safety of the hydroxyapatite coating, not on algorithmic performance.
However, I can extract information relevant to the comparison made in the 510(k) process, which functions as the nearest equivalent to "acceptance criteria" and "proof" in this regulatory context:
1. Table of Acceptance Criteria and Reported Device Performance (as interpreted for a 510(k) submission):
| Acceptance Criterion (Implicit for 510(k)) | Reported Device Performance (Demonstrated Equivalence) |
|---|---|
| Intended Use: Same as predicate device(s). | The Fortress™ Pedicular Fixation System is for posterior, non-cervical fixation as an adjunct to fusion for indications like degenerative disc disease, spondylolisthesis, trauma, spinal stenosis, curvatures, tumor, pseudoarthrosis, and/or failed previous fusion. This matches the intended use of the primary predicate device, Spineology Fortress Pedicle Screw System [K140010]. |
| Technological Characteristics: Same or similar to predicate device(s), with any differences not raising new questions of safety or effectiveness. | The subject screws have a hydroxyapatite coating on the screw threads. The base material, thread form, and screw sizes are the same as the predicate devices. The technological characteristics are stated to remain the same as the predicate devices with respect to intended use, indications for use, design, fundamental technology, and operational principles, except for the addition of the HA coating. (The coating characterization/analyses were provided to support the safety and effectiveness of this specific technological difference). |
| Performance (Safety & Effectiveness): Demonstrated through physical/material testing and risk analysis, showing equivalence to predicate(s). | "Coating characterization/analyses were provided." "The results of a risk analysis support a determination that the device is substantially equivalent to the identified predicate devices." This implies that the testing performed demonstrated that the HA coating did not compromise the safety or effectiveness, and likely met relevant mechanical or biocompatibility standards comparable to the predicate. |
Regarding the specific questions about an AI/software device:
- Sample size for the test set and data provenance: Not applicable. This is not an AI/software device. The "test set" would be the samples of the physical device or its components used for mechanical, material, or biocompatibility testing. The document does not specify sample sizes for these tests. Data provenance would refer to the materials/components themselves.
- Number of experts used to establish ground truth & qualifications: Not applicable. No "ground truth" (in the AI/clinical data sense) was established by experts for this device. The evaluation is based on engineering specifications, material science, and regulatory comparison.
- Adjudication method: Not applicable. There is no clinical data or expert interpretation requiring adjudication mentioned.
- Multi-Reader Multi-Case (MRMC) comparative effectiveness study: Not applicable. This is not an AI-assisted diagnostic or imaging device.
- Standalone (algorithm-only) performance: Not applicable. This is a physical implant, not an algorithm.
- Type of ground truth used: Not applicable in the AI sense. Ground truth in this context would implicitly be established engineering standards, material properties, and biocompatibility requirements for spinal implants.
- Sample size for the training set: Not applicable. This is not a machine learning model.
- How ground truth for the training set was established: Not applicable.
In summary, the provided document details the regulatory clearance of a physical medical device (spinal implant) via the 510(k) pathway, which focuses on demonstrating substantial equivalence to predicate devices, not on the performance criteria and studies typical for AI/software devices.
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