K Number
K170282
Date Cleared
2017-05-22

(112 days)

Product Code
Regulation Number
888.3560
Panel
OR
Reference & Predicate Devices
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

Smith & Nephew's VISIONAIRE Adaptive Guides are intended to be used as patient-specific surgical instrumentation to assist in the positioning of total knee replacement components intra-operatively and in guiding the marking of bone before cutting provided that anatomic landmarks necessary for alignment and positioning of the implant are identifiable on patient imaging scans.

The Smith & Nephew VISIONAIRE Adaptive Guides are intended for use with the following existing Smith & Nephew, Inc. Knee Systems and their cleared indications for use:

  • Genesis II Knee System
  • Legion Knee System
  • Journey BCS Knee System
  • Journey II Knee System

The Smith & Nephew VISIONAIRE Adaptive Guides are intended for single use only.

Device Description

The subject of this premarket notification is to seek FDA clearance of the Smith & Nephew VISIONAIRE Adaptive Guides and the modifications to the software components used to design and manufacture the VISIONAIRE Patient Matched Cutting Blocks. The subject guides are designed, manufactured from patient imaging data (i.e. MRI, X-Ray) and offered in various femur/tibia options and features requested by the surgeon: a tibia-cut-first guide and options for removable tabs. Also within this notification are surgical alignment instruments to evaluate guide position. Patient Matched Cutting Blocks were previously cleared for market via premarket notification K130708.

AI/ML Overview

This document is a 510(k) premarket notification for the "Smith & Nephew VISIONAIRE Adaptive Guides". It states that the device is substantially equivalent to a predicate device and includes information about its intended use and technological characteristics.

Here’s an breakdown of the requested information based on the provided text:

1. Table of Acceptance Criteria and Reported Device Performance

The document does not explicitly present acceptance criteria in a tabular format, nor does it detail specific quantitative performance metrics beyond stating equivalency. Instead, it relies on demonstrating equivalency to a predicate device and positive results from cadaveric testing.

Acceptance Criteria (Implied)Reported Device Performance
Functional Equivalence to Predicate Device: The device should perform in a manner similar to the predicate Patient Matched Cutting Blocks (K130708)."The results of this testing demonstrated that the patient matched cutting blocks/guides designed using the case processing applications perform equivalent to the predicate cutting blocks."
"The Smith & Nephew VISIONAIRE Adaptive Guides are identical in function, equivalent design features, intended use, indications for use, operational principles, manufacturing processes, and materials as the predicate device- Patient Matched Cutting Blocks (K130708, S.E. 02/28/2014)."
Software performs as intended and introduces no new safety/effectiveness issues."Software verification and validation testing was completed... A review of this testing has demonstrated that there are no new issues related to the safety and effectiveness of the subject device and the software will perform as intended."
No new issues related to safety and effectiveness."Based on the testing within this premarket notification, there are no new issues related to the safety and effectiveness of the subject device."

2. Sample Size Used for the Test Set and Data Provenance

  • Sample Size for Test Set: The document mentions "cadaveric testing" for the subject device but does not specify the sample size (i.e., number of cadavers or knees tested).
  • Data Provenance: The cadaveric testing implies the data is prospective (generated for this specific study). The country of origin for the data is not specified.

3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts

The document does not provide information on the number of experts used or their qualifications for establishing ground truth in the cadaveric testing.

4. Adjudication Method for the Test Set

The document does not provide information on any adjudication method used for the test set.

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

  • MRMC Study: The document does not mention a Multi-Reader Multi-Case (MRMC) comparative effectiveness study.
  • AI Assistance: The device described (VISIONAIRE Adaptive Guides) is a patient-specific surgical instrumentation that uses patient imaging data (MRI, X-Ray) for design and manufacturing, assisting in positioning and guiding bone marking. While it uses software, the submission focuses on its physical guidance function and comparison to predicate physical cutting blocks, not on evaluating human reader improvement with AI assistance in image interpretation.

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

The document does not explicitly describe a standalone algorithm-only performance study. The "software verification and validation testing" refers to ensuring the software components that design and manufacture the guides perform as intended, but it's not a standalone diagnostic or interpretive algorithm performance study in the context of typical AI/ML submissions. The device is an aid to surgery, not a standalone diagnostic tool.

7. The Type of Ground Truth Used

For the cadaveric testing, the ground truth would likely be established through direct measurement of anatomical alignment and component positioning on the cadaveric specimens after using the guides, potentially validated against surgical planning or anatomical landmarks. However, the document does not explicitly state the type of ground truth used.

8. The Sample Size for the Training Set

The document refers to the device being designed and manufactured from "patient imaging data (i.e. MRI, X-Ray)". However, it does not specify any sample size for a training set in the context of an AI/ML algorithm development. The software capabilities are about designing and manufacturing physical guides based on existing imaging, rather than learning from a vast dataset.

9. How the Ground Truth for the Training Set was Established

Since no specific "training set" for an AI/ML model is described, there's no information on how ground truth for such a set would have been established. The ground truth for the design and manufacturing process would be the accuracy of the physical guides in matching the patient's anatomy and desired surgical plan, which is implicitly validated by the cadaveric testing.

§ 888.3560 Knee joint patellofemorotibial polymer/metal/polymer semi-constrained cemented prosthesis.

(a)
Identification. A knee joint patellofemorotibial polymer/metal/polymer semi-constrained cemented prosthesis is a device intended to be implanted to replace a knee joint. The device limits translation and rotation in one or more planes via the geometry of its articulating surfaces. It has no linkage across-the-joint. This generic type of device includes prostheses that have a femoral component made of alloys, such as cobalt-chromium-molybdenum, and a tibial component or components and a retropatellar resurfacing component made of ultra-high molecular weight polyethylene. This generic type of device is limited to those prostheses intended for use with bone cement (§ 888.3027).(b)
Classification. Class II.