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510(k) Data Aggregation
(30 days)
The Retracta Detachable Embolization Coil is intended for arterial and venous embolization in the peripheral vasculature.
The Retracta Detachable Embolization Coil is comprised of a fibered platinum embolization coil connected to a delivery wire. The delivery wire is composed of a tapered nitinol mandril soldered to two segments of coiled Inconel wire. The device is packaged in a spiral holder with an attached loading cartridge.
The provided document is a 510(k) summary for a medical device (Retracta Detachable Embolization Coil) and does not describe an AI/ML study. Therefore, most of the questions regarding AI/ML study parameters cannot be directly answered from the given text.
However, based on the Test Data section, I can extract information related to the device's performance criteria and how they were met through various engineering tests.
Here's an attempt to answer your request based on the provided text, while acknowledging the limitations due to the nature of the document:
1. Table of Acceptance Criteria and Reported Device Performance
Test Name | Acceptance Criteria | Reported Device Performance |
---|---|---|
Deployment Friction | Not statistically greater than that of the current (predicate) design. | The delivery friction of the proposed design is not statistically greater than that of the current design. (Acceptance criterion met.) |
Retraction Friction | Not statistically greater than that of the current (predicate) design. | The retraction friction of the proposed design is not statistically greater than that of the current design. (Acceptance criterion met.) |
Tensile Testing | Statistically greater than the predefined criterion. | The tensile strength of the proposed design of the delivery wire is statistically greater than that of the current design and statistically greater than the predefined criterion. (Acceptance criterion met.) |
Torque Testing | Number of rotations to failure > 10. | The number of rotations to failure of the proposed delivery wire is statistically greater than that of the current design and greater than 10. (Acceptance criterion met.) ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
Swine Arterial Model Study | Performance ratings of "adequate" or "good" for all performance parameters. | The proposed design achieved performance ratings of "adequate" or "good" for all performance parameters. (Acceptance criterion met.) |
The requested information primarily pertains to AI/ML device studies. This document, a 510(k) premarket notification, describes a conventional medical device (embolization coil) and its safety and effectiveness testing, which are primarily engineering and animal model tests. As such, the concepts of "test set," "training set," "ground truth" (in the context of image interpretation), "experts for ground truth," "adjudication method," "MRMC study," and "standalone algorithm performance" are not applicable to this submission.
Therefore, the remaining questions cannot be answered from the provided text as they relate to AI/ML specific study designs not present in this regulatory document.
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(30 days)
The Retracta" Detachable Embolization Coil is intended for arterial and venous embolization in the peripheral vasculature.
The Retracta." Detachable Embolization: Coil consists of a fibered embolization coil constructed of platinum and a detachable delivery system. The implant consists of coiled wire and synthetic fibers which increase thrombogenesis. Embolization fibers are spaced along the coil until nearly the proximal tip. The fibers extend perpendicular to the long axis of the coil. Once deployed, the coil forms a curl, which varies in curl diameter and spacing. The embolization coil is delivered to the vasculature by means of a coll delivery wire.
The provided text describes a 510(k) submission for the Retracta" Detachable Embolization Coil. This submission focuses on demonstrating substantial equivalence to predicate devices through technical and performance testing, not on clinical effectiveness studies involving human readers or sophisticated AI algorithms. Therefore, much of the requested information regarding AI performance, human expert evaluation, and MRMC studies is not applicable to this document.
Here's an analysis of the available information:
Acceptance Criteria and Device Performance
Acceptance Criteria Category | Reported Device Performance |
---|---|
Tensile Testing | Met all predetermined acceptance criteria (delivery system tensile strength during proper clinical use). |
Device Migration Testing | Met predetermined acceptance criteria (devices should not migrate or perforate vessels during proper clinical use). |
Load to Retract Testing | Met predetermined acceptance criteria (load to retract coil into delivery system after deployment was less than 4 Newtons under normal clinical use). |
Corrosion Testing | Demonstrated sufficient resistance to corrosion. |
MRI Testing | Verified for MR conditional compatibility with applicable parameters listed in Instructions for Use. |
Radiopacity Comparison Testing | Platinum coils (device material) have the highest visibility compared to other metallic coils. |
Biocompatibility Testing | Met the predetermined acceptance criteria in conformance with applicable sections of ISO 10993-1. |
2. Sample size used for the test set and the data provenance (e.g., country of origin of the data, retrospective or prospective)
The document does not specify the exact sample sizes (number of units tested) for each of the performance tests. The data provenance is not explicitly mentioned, but as this is a device submitted to the FDA, it is presumed to be laboratory testing conducted by the manufacturer (Cook Incorporated, based in Bloomington, IN, USA) to U.S. regulatory standards. These are retrospective engineering/bench tests, not clinical data.
3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g., radiologist with 10 years of experience)
This information is not applicable. The tests performed are engineering and material science tests (tensile strength, biocompatibility, corrosion, etc.) and do not require expert human interpretation of medical images or conditions to establish ground truth.
4. Adjudication method (e.g., 2+1, 3+1, none) for the test set
This information is not applicable. The tests are objective, quantifiable measurements against predetermined engineering specifications, not evaluations requiring adjudication by multiple human experts.
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
This information is not applicable. This submission is for a physical medical device (embolization coil), not an AI-powered diagnostic or assistive tool. No MRMC study was performed.
6. If a standalone (i.e., algorithm only without human-in-the-loop performance) was done
This information is not applicable. This submission is for a physical medical device.
7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)
The "ground truth" for the performance tests was defined by predetermined acceptance criteria based on regulatory guidance (FDA Guidance for Industry and FDA Staff: Class II Special Controls Guidance Document: Vascular and Neurovascular Embolization Devices (2004)) and industry standards (e.g., ISO 10993-1 for biocompatibility). These criteria are objective, measurable thresholds for physical properties and performance characteristics.
8. The sample size for the training set
This information is not applicable. There is no mention of a training set as this is not an AI/machine learning device. The "training" for such a device would be the design and manufacturing process iterative improvements.
9. How the ground truth for the training set was established
This information is not applicable. As there is no training set in the context of AI, there's no ground truth established for one. The "ground truth" for the device design would be established through engineering principles, material science, and adherence to performance specifications derived from regulatory and clinical needs.
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