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510(k) Data Aggregation
(84 days)
The TranS1 Interbody Fusion System is indicated for spinal fusion procedures in skeletally mature patients with degenerative disc disease (DDD) at one or two contiguous levels from L2-S1. DDD is defined as discogenic back pain with degeneration of the disc confirmed by patient history and radiographic studies. These DDD patients may also have up to Grade I spondylolisthesis or retrolisthesis at the involved level(s). The TranS1 Interbody Fusion System can be used as an adjunct to fusion in patients diagnosed with degenerative scoliosis. These patients should have had six months of non-operative treatment. The TranS1 Interbody Fusion System is designed to be used with autograft and/or allograft comprised of cancellous and/or coricocancellous bone graft, and a supplemental spinal fixation system that is cleared for use in the lumbar spine.
The TranS1 Interbody Fusion System is used to provide structural stability and maintain disc space distraction in skeletally mature adults requiring intervertebral body fusion. The devices are designed to be used in conjunction with supplemental spinal fixation instrumentation. The subject devices are multiple component systems comprised of single-use implants designed to treat the lumbar spine.
The TranS1 Interbody Fusion System lumbar implants are fabricated from PEEK (ASTM F2026) with Tantalum (ASTM F560) x-ray markers. The TranS1 Interbody Fusion System implants are available in a range of sizes and shapes, and are designed to accommodate variations in surgical approach and patient anatomy. Each cage has a hollow center to allow placement of autograft and/or allograft comprised of cancellous and/or corticocancellous bone graft. Ridges on the superior and inferior surfaces of the device help to grip the endplates and prevent expulsion.
I am sorry, but the provided text only discusses the FDA's 510(k) clearance for the TranS1 Interbody Fusion System, which is a medical device used for spinal fusion procedures. It specifies the intended use, material composition, and references performance testing conducted according to ASTM standards for static and dynamic mechanical properties, as well as subsidence and expulsion.
However, the text does not contain any information about an AI/ML powered device, acceptance criteria related to AI/ML performance metrics (e.g., accuracy, sensitivity, specificity), or any study details proving an AI/ML device meets such criteria.
Therefore, I cannot fulfill your request for information about:
- A table of acceptance criteria and reported device performance for an AI/ML device.
- Sample sizes and data provenance for a test set for an AI/ML device.
- Number and qualifications of experts for AI/ML ground truth.
- Adjudication method for an AI/ML test set.
- MRMC study for an AI/ML device.
- Standalone performance for an AI/ML algorithm.
- Type of ground truth used for an AI/ML device.
- Sample size for the training set for an AI/ML device.
- How ground truth was established for the training set for an AI/ML device.
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(63 days)
The Choice Spine HAWKEYE™ Vertebral Body Replacement (VBR) Spacers are vertebral body replacement devices intended for use in the thoracolumbar spine (TI -L5). Hawkeye (VBR) Spacers are also intended for use in the cervical spine (C2-T1).
When used in the cervical spine (C2-T1), the HAWKEYE™ VBR devices are intended for use in the skeletally mature patients to replace a diseased or damaged vertebral body caused by tumor, fracture, or osteomyelitis, or for reconstruction following corpectomy performed to achieve decompression of the spinal cord and neural tissues in cervical degenerative disorders. These spacers are intended to restore the integrity of the spinal column even in the absence of fusion for a limited time period in patients with advanced stage turnors involving the cervical spine in whom life expectancy is of insufficient duration to permit achievement of fusion, with bone graft used at the surgeon's discretion.
When used in the thoracolumbar spine (T1-L5), the HAWKEYE ™ VBR Spacers are intended for use to replace a collapsed, damaged, or unstable vertebral body due to tumor or trauma (i.e., fracture). These spacers are designed to provide anterior spinal column support even in the absence of fusion for a prolonged period.
The interior of the spacers can be packed with autograft or allogenic bone graft comprising cancellous and/or corticocancellous bone graft as an adjunct to fusion.
These devices are intended to be used with FDA-cleared supplemental spinal fixation systems that have been labeled for use in the cervical, thoracic, and/or lumbar spine (i.e.,posterior screw and rod systems, and anterior screw and rod systems). When used at more than two levels, supplemental fixation should include posterior fixation.
The ChoiceSpine HAWKEYE™ Vertebral Body Replacement (VBR) System is composed of implant components which have a basic oval/trapezoidal shape with a hollow center for placement of bone graft. The superior and inferior surfaces have ridges, or “teeth" for resisting migration. The replacement implants, "spacers", are available in an assortment of heights and in multiple angles of lordosis to accommodate different anatomic requirements.
The provided document is a 510(k) premarket notification for the Choice Spine HAWKEYE™ Vertebral Body Replacement (VBR) System. It describes the device, its intended use, and argues for its substantial equivalence to previously cleared predicate devices.
However, the document does not contain information regarding an AI/ML-driven device or study. Therefore, I cannot extract the acceptance criteria or study details related to AI/ML performance as requested. The "Performance Data" section discusses mechanical testing (static and dynamic compression and torsion, subsidence, and expulsion) in accordance with ASTM standards, which are physical tests for the implant device itself, not performance metrics for an AI/ML algorithm. Similarly, "Clinical Literature" refers to a review to support the safety profile of the physical device.
Without the requested information from the provided text, I cannot complete the table or answer the specific questions related to AI/ML device performance and testing.
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