K Number
K083719
Manufacturer
Date Cleared
2009-07-30

(227 days)

Product Code
Regulation Number
870.2700
Panel
AN
Reference & Predicate Devices
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

The LNCS Sensors are indicated for the continuous nonitoring of functional oxygen saturation of arterial hemoglobin (SpO2) and pulse rate (measured by an SpO2 sensor) for use with adult, pediatric, infant, and neonatal patients during both no motion and motion conditions, and for patients who are well or poorly perfused in hospital-type facilities, mobile, and home environments.

Device Description

The LNCS Oximetry Sensors are to be reprocessed. They are fully compatible disposable sensors for use with Masimo SET and Masimo SET compatible pulse oximeter monitors. The LNCS Oximety Sensors are also compatible with Nellcor compatible pulse oximeter monitors. There is no change in the sensor design or performance. The only change is that the sensors are to be reprocessed and subjected to ethylene oxide (EO) sterilization, and are to be supplied as sterile sensors by Masimo.

AI/ML Overview

The provided document is a 510(k) summary for the Masimo LNCS Oximetry Sensors. It focuses on the substantial equivalence of reprocessed and sterilized sensors to previously cleared sensors. Therefore, the information typically found in acceptance criteria and detailed study reports for new device performance (like specific accuracy metrics, sample sizes for test/training sets, expert qualifications, etc.) is not present in this summary.

Here's a breakdown of what can be extracted based on the request, and what cannot:

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

  • Acceptance Criteria: Not explicitly stated in terms of specific performance metrics (e.g., accuracy, precision errors for SpO2). The primary acceptance criterion here is "substantial equivalence" to previously cleared predicate devices. This means the reprocessed sensors must perform at least as well as the original, non-reprocessed sensors.
  • Reported Device Performance: The document only states: "The results of the performance data demonstrate that the LNCS Oximetery Sensors, after reprocessed and sterilized are as safe and effective as the legally marketed predicate devices." No specific numerical performance values (e.g., SpO2 accuracy, pulse rate accuracy) are provided in this summary.

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

  • Sample Size for Test Set: Not specified.
  • Data Provenance: The testing was "in-house and laboratory validation testing." No information on country of origin or whether it was retrospective or prospective is provided.

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)

  • Number of Experts: Not applicable/not specified. For oximetry sensors, ground truth typically comes from a reference device (e.g., CO-oximeter for SpO2) rather than expert consensus on images.
  • Qualifications of Experts: Not applicable/not specified.

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

  • Adjudication Method: Not applicable/not specified. Oximetry sensor performance is typically evaluated against reference instruments, not expert adjudication in the way image analysis algorithms are.

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: No. This device is an oximetry sensor, not an AI-powered diagnostic tool requiring human reader studies.

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

  • Standalone Performance: Not applicable in the context of an "algorithm only" device, as this is a physical sensor. The "performance data" mentioned would be for the sensor itself.

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

  • Type of Ground Truth: Not explicitly stated in this summary. For oximetry devices, ground truth for SpO2 accuracy is typically established using a reference CO-oximeter with arterial blood samples. The document refers to "in-house and laboratory validation testing," which would imply such rigorous reference methods.

8. The sample size for the training set

  • Sample Size for Training Set: Not applicable. This device is a sensor, not an AI/ML algorithm that requires a training set.

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

  • Ground Truth for Training Set: Not applicable.

Summary of available information as per request:

FeatureDetails from 510(k) Summary
1. Acceptance Criteria & Reported Device PerformanceAcceptance Criteria: Substantial equivalence to predicate devices (Masimo LNCS Oximetry Sensors, K041815, K051212, K060143) after reprocessing and EO sterilization. Reported Performance: "The results of the performance data demonstrate that the LNCS Oximetery Sensors, after reprocessed and sterilized are as safe and effective as the legally marketed predicate devices." (No specific numerical metrics provided in this summary).
2. Test Set Sample Size & Data ProvenanceSample Size: Not specified. Provenance: In-house and laboratory validation testing. (No country of origin, retrospective/prospective stated).
3. Number & Qualifications of Experts for Ground TruthNot applicable; ground truth for oximetry is typically from reference instruments, not expert consensus in the way image analysis algorithms are evaluated.
4. Adjudication Method for Test SetNot applicable.
5. MRMC Comparative Effectiveness StudyNo. This is not an AI-powered diagnostic tool.
6. Standalone Performance (Algorithm only)Not applicable (device is a physical sensor). The "performance data" refers to the sensor's function.
7. Type of Ground Truth UsedNot explicitly stated in this summary, but for oximetry, it typically involves a reference CO-oximeter with arterial blood samples. Implicitly, the "laboratory validation testing" would use such methods.
8. Training Set Sample SizeNot applicable (device is a sensor, not an AI/ML algorithm).
9. Ground Truth for Training Set EstablishmentNot applicable.

This 510(k) summary is for a device modification (reprocessing and sterilization) of an existing device type, not a new technology introduction. Therefore, the focus is on demonstrating that the reprocessing and sterilization do not negatively impact the established performance and safety of the device, rather than establishing original performance criteria from scratch. Detailed performance metrics and study designs, if required, would typically be found in the full 510(k) submission, not necessarily in the public summary.

§ 870.2700 Oximeter.

(a)
Identification. An oximeter is a device used to transmit radiation at a known wavelength(s) through blood and to measure the blood oxygen saturation based on the amount of reflected or scattered radiation. It may be used alone or in conjunction with a fiberoptic oximeter catheter.(b)
Classification. Class II (performance standards).