K Number
K251862
Manufacturer
Date Cleared
2025-08-11

(55 days)

Product Code
Regulation Number
888.3030
Panel
OR
Reference & Predicate Devices
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

The External Fixation Bone Distractor is intended for treatment of non-union or pseudoarthrosis of long bones and correction of bony or soft tissue defects or deformities.
The External Fixation Bone Distractor is indicated for adult and pediatric (greater than 2 through 21 years of age) patients.

Device Description

The Paragon 28 External fixation Bone Distractor is a transverse bone transport system designed to assist in the controlled movement of a bone segment across a defect. The device can be used independently or in conjunction with the Monkey Rings External Fixation System (K232838) or Monkey Bars Pin to Bar External Fixation System (K242452) to form hybrid frames.

AI/ML Overview

The provided FDA 510(k) clearance letter for the "External Fixation Bone Distractor" does NOT include information about acceptance criteria or a study that proves the device meets specific performance criteria through clinical data, especially not in the context of an AI/ML-driven medical device.

This document describes a traditional medical device (an external fixation system) and its clearance is based on substantial equivalence to existing predicate devices, rather than on meeting specific performance metrics derived from a study like an MRMC or standalone AI performance evaluation. The "Performance Testing" section explicitly states: "No additional bench testing was performed for the subject device. Instead, a worst-case analysis was conducted using existing data from other components within the device system." This means the clearance is based on engineering design analysis and comparison to mechanically similar, already cleared components, not on a study with clinical performance acceptance criteria.

Therefore, I cannot extract the requested information from the provided text. The questions posed relate to the evaluation of AI/ML-driven medical devices, which operate under different regulatory and performance evaluation paradigms.

To answer your request thoroughly, I will indicate that the information is not present in the provided document for each point.


Here's the breakdown, indicating the information is not present based on the provided FDA 510(k) letter:

1. A table of acceptance criteria and the reported device performance

  • Information Not Present: The document does not specify quantitative acceptance criteria for clinical performance (e.g., sensitivity, specificity, accuracy) nor does it report performance metrics from a clinical study. The clearance is based on substantial equivalence and mechanical properties derived from "worst-case analysis" using existing data, not a specific performance study against defined clinical criteria.

2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

  • Information Not Present: No test set is mentioned, as there was no clinical performance study conducted or reported for this 510(k) submission. The document relies on existing data from other components and worst-case analysis for mechanical performance.

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)

  • Information Not Present: This is not applicable. There was no test set with clinical ground truth established by experts.

4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

  • Information Not Present: This is not applicable. No test set involving human expert adjudication was used.

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

  • Information Not Present: An MRMC study was not done. The device is a mechanical medical device, not an AI/ML-driven diagnostic or assistive tool.

6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

  • Information Not Present: A standalone performance study was not done. The device is a mechanical bone distractor, not an algorithm.

7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)

  • Information Not Present: Ground truth, in the context of clinical performance evaluation for AI/ML devices, is not relevant here as it's a mechanical device. The "ground truth" for this device's clearance relates to its mechanical integrity and biocompatibility, established through engineering standards (ASTM F1541-17) and material properties.

8. The sample size for the training set

  • Information Not Present: A training set is not applicable. This is a mechanical device, not an AI/ML system.

9. How the ground truth for the training set was established

  • Information Not Present: This is not applicable. No training set or associated ground truth establishment method is mentioned.

§ 888.3030 Single/multiple component metallic bone fixation appliances and accessories.

(a)
Identification. Single/multiple component metallic bone fixation appliances and accessories are devices intended to be implanted consisting of one or more metallic components and their metallic fasteners. The devices contain a plate, a nail/plate combination, or a blade/plate combination that are made of alloys, such as cobalt-chromium-molybdenum, stainless steel, and titanium, that are intended to be held in position with fasteners, such as screws and nails, or bolts, nuts, and washers. These devices are used for fixation of fractures of the proximal or distal end of long bones, such as intracapsular, intertrochanteric, intercervical, supracondylar, or condylar fractures of the femur; for fusion of a joint; or for surgical procedures that involve cutting a bone. The devices may be implanted or attached through the skin so that a pulling force (traction) may be applied to the skeletal system.(b)
Classification. Class II.