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The Altus Spine Pedicle Screw System is intended to provide immobilization 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 Altus Spine Pedicle Screw System is intended for noncervical pedicle fixation for the following indications: degenerative disc disease (defined as back pain of discogenic origins with degeneration of the disc confirmed by history and radiographic studies); spondylolisthesis; trauma (i.e., fracture or dislocation); spinal stenosis; curvatures (i.e., scoliosis, kyphosis, and/or lordosis); tumor; pseudoarthrosis; and failed previous fusion in skeletally mature patients.

The Altus Spine Pedicle Screw System may be used for noncervical pedicle fixation via in posterior percutaneous approach with MIS instrumentations fisted above. When used as an anterolateral thoracic/umbar system the Altus Spine Pedicle Screw System may also be used for the same indications listed above as an adjunct to fusion.

The Altus Spine Pedicle Screw System consists of a system of implantable screws to be used with implantable rods for the purpose of aiding in spinal fusion. The Altus Spine Pedicle Screw System attaches to the vertebral body by means of screws to the non-cervical spinal and allows a surgeon to build a spinal implant construct with the intent to stabilize the spinal operative site during the fusion process. Implantable components are composed of titanium alloy meeting the requirements of ASTM F136 and cobalt chrome meeting the requirements of ASTM F1537. The device is supplied non-sterile and is intended for sterilization by hospital personnel.

The provided text describes the Altus Spine Pedicle Screw System and its clearance by the FDA, but it does not contain information about acceptance criteria or a study proving device performance against such criteria in the context of an AI/medical imaging device.

The document K181339 is a 510(k) premarket notification for a mechanical medical device (pedicle screw system), not an AI or imaging device. The "studies" mentioned are non-clinical mechanical tests to ensure the device's physical strength and stability, not studies of diagnostic accuracy, reader performance, or AI algorithm performance.

Therefore, I cannot provide a response filling in the requested table and information points as they are pertinent to AI/imaging device studies, which are not present in the provided text.

Here is why most of your requested points cannot be answered from the provided text:

• Acceptance criteria and reported device performance (Table 1): The text mentions mechanical tests (static and dynamic compression bending, static torsion per ASTM F1717, and static screw-tulip dissociation per ASTM F1798). It states that "Test results demonstrate substantially equivalent mechanical performance of the subject device as compared to the predicates." However, it does not provide specific numerical acceptance criteria (e.g., "must withstand X N of force") nor the reported numerical performance of the Altus Spine Pedicle Screw System against these criteria.
• Sample size for the test set and data provenance: Not applicable, as this is a mechanical device, not an AI/imaging device evaluating data. The "test sets" would be physical prototypes for mechanical testing.
• Number of experts and qualifications for ground truth: Not applicable. Ground truth for mechanical performance involves engineers and test standards, not medical experts interpreting images.
• Adjudication method: Not applicable.
• Multi reader multi case (MRMC) comparative effectiveness study: Not applicable. This type of study is for evaluating human performance with and without AI assistance for tasks like image interpretation.
• Standalone (algorithm only) performance: Not applicable. There is no algorithm mentioned.
• Type of ground truth used: For mechanical tests, the "ground truth" is compliance with ASTM standards and comparable performance to predicates based on physical measurements of force, displacement, etc.
• Sample size for the training set: Not applicable. There is no AI model or training set.
• How ground truth for the training set was established: Not applicable.

In summary, the provided document describes a 510(k) submission for a physical implantable device (pedicle screw system) and discusses its mechanical testing, not an AI-powered diagnostic or imaging device.

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