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510(k) Data Aggregation
(114 days)
The intended use of the NOGA™ XP Cardiac Navigation System with QwikMap™ Software is catheter-based cardiac mapping.
The NOGA™ XP Cardiac Navigation System with QwikMap™ Software allows realtime display of cardiac maps in a number of different formats. Maps may be displayed as cardiac electrical activation maps, cardiac electrical propagation maps, cardiac electrical potential maps, cardiac chamber geometry maps, cardiac dynamic maps, cardiac hemodynamic maps, and cardiac electromechanical maps. The acquired patient signals, including body surface ECG and intracardiac electrograms may also be displayed in real time on the display screen.
The NOGA™ XP Cardiac Navigation System with QwikMap™ Software is a modification of the NOGA™ Cardiac Navigation System cleared for marketing under K000332. Like the predicate device, the NOGA™ XP System is a computerized electromechanical mapping system designed to acquire, analyze, and display electromechanical maps of the heart in a clear and intuitive manner. Maps are constructed by combining and integrating information from intracardiac electrograms with the respective endocardial locations. Like the CARTO™ Cardiac Navigation systems (K992968, K993729, K000248, K000190, K013083, and K020863), all commercially available Biosense Webster catheters equipped with the proprietary location sensor(s) that provide(s) real-time information on the location of the catheter can be used with the NOGA™ XP Cardiac Navigation System.
The current NOGA™ Cardiac Navigation System software was upgraded to allow for:
- . on-screen visualization of the catheter shaft.
- reduction of the steps required to create electromechanical maps .
- · NOGA™ XP software creates the equivalent of a 50-point map with only 8-10 contact points, and
- · easier mapping of transient events.
Here's an analysis of the provided text regarding the acceptance criteria and study for the NOGA™ XP Cardiac Navigation System with QwikMap™ Software:
Acceptance Criteria and Device Performance Study
The provided document describes the NOGA™ XP Cardiac Navigation System with QwikMap™ Software as a modification to an existing device, the NOGA™ Cardiac Navigation System. The primary method for demonstrating safety and effectiveness relied on showing substantial equivalence to predicate devices. This means that instead of establishing new performance metrics, the device's performance was compared to that of already cleared devices to ensure it performed in an equivalent manner and did not raise new questions of safety or effectiveness.
1. Table of Acceptance Criteria and Reported Device Performance
Acceptance Criteria (Inferred from Substantial Equivalence Claim) | Reported Device Performance |
---|---|
Safety and Effectiveness Equivalence: The modified device (NOGA™ XP) is as safe and effective as the predicate device (NOGA™ Cardiac Navigation System and CARTO™ XP QWIKMAP™ EP Navigation System). | "The non-clinical bench and animal testing confirms that the NOGATM XP Cardiac Navigation System with QwikMap™ Software is as safe and as effective as the previously marketed device to which it is being compared and does not raise any new questions of safety or effectiveness." |
Similar Indications for Use: The intended use of the NOGA™ XP System is the same as the predicate devices. | "The indications for use for the NOGA™ XP Cardiac Navigation System with QwikMap™ Software are the same as the indications for use for the predicate devices." |
Equivalent Functionality: The NOGA™ XP System works in a manner equivalent to the predicates, particularly with the new software upgrades for on-screen visualization, reduced steps for map creation, and easier mapping of transient events. | "Software validation, simulated use, and testing in the porcine model demonstrate that the NOGA™ XP Cardiac Navigation System with QwikMap™ Software works in an equivalent manner to the predicates." |
2. Sample Size Used for the Test Set and Data Provenance
- Test Set Sample Size: The document does not specify a distinct "test set" in terms of number of cases, patients, or data points for a traditional clinical study. Instead, it mentions "non-clinical bench and animal testing."
- For the animal testing, it explicitly states "testing in the porcine model." The number of animals used is not provided.
- Data Provenance:
- Bench Testing: Implied to be laboratory-based.
- Animal Testing: Porcine (pig) model.
- The document does not mention human data for either retrospective or prospective studies. The focus is on demonstrating equivalence through non-clinical means.
3. Number of Experts Used to Establish the Ground Truth for the Test Set and Their Qualifications
The document does not mention the use of experts to establish ground truth for the "test set" in the context of a clinical study or even for the bench and animal testing. The evaluation appears to be based on engineering and physiological testing rather than expert-derived ground truth.
4. Adjudication Method for the Test Set
Not applicable. There is no mention of a ground truth adjudication process involving multiple reviewers for a test set.
5. If a Multi Reader Multi Case (MRMC) Comparative Effectiveness Study Was Done, and the Effect Size of How Much Human Readers Improve with AI vs. Without AI Assistance
No, a Multi Reader Multi Case (MRMC) comparative effectiveness study was not conducted or reported in this document. The device is a "cardiac navigation system," which is a tool for clinicians, but the submission focuses on its technical equivalence and functionality rather than changes in human reader performance or diagnostic accuracy.
6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done
The device is a "cardiac navigation system" and "programmable diagnostic computer." It is inherently a device that provides information and displays data for human clinicians. Therefore, a purely standalone algorithm performance without human-in-the-loop context would not be directly applicable to its intended use. The "performance data" section focuses on the system's ability to acquire, analyze, and display information equivalently to predicate devices.
7. The Type of Ground Truth Used
- For the bench testing, the ground truth would likely be based on engineering specifications, known physical properties, electrical signal characteristics, and defined system outputs.
- For the animal (porcine) model testing, the ground truth would be based on physiological measurements and observations within the animal model, ensuring the system accurately represented cardiac activity and geometry as expected.
8. The Sample Size for the Training Set
The document does not mention a "training set" or machine learning aspects in a way that implies a distinct dataset for training an AI algorithm. The device is described as a "computerized electromechanical mapping system," suggesting a model-based or rule-based system rather than a machine learning one that requires a dedicated training set. Software validation typically involves testing against requirements and known scenarios, not "training" in the AI sense.
9. How the Ground Truth for the Training Set Was Established
Not applicable, as a discrete "training set" for an AI algorithm is not identified in the provided text.
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