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510(k) Data Aggregation
(154 days)
Echo IQ Ltd
EchoSolv AS is a machine learning (ML) and artificial intelligence (AI) based decision support software indicated for use as an adjunct to echocardiography for assessment of severe aortic stenosis (AS).
When utilized by an interpreting physician, this device provides information to facilitate rendering an accurate diagnosis of AS. Patient management decisions should not be made solely on the results of the EchoSolv AS analysis.
EchoSolv AS includes both the algorithm based AS phenotype analysis, and the application of recognized AS clinical practice quidelines.
Limitations: EchoSolv AS is not intended for patients under the age of 18 years or those who have previously undergone aortic valve replacement surgery
EchoSolv AS is a standalone, cloud-based decision support software which is intended to be used certified cardiologist to aid in the diagnosis of Severe Aortic Stenosis. EchoSolv AS analyzes basic patient demographic data and measurements obtained from a transthoracic echo examination to provide a categorical assessment as to whether the data are suggestive of a high, medium or low probability of Severe AS. EchoSolv AS is intended for patients who 18 years or older who have an echocardiogram performed as part of routine clinical care (i.e., for the evaluation of structural heart disease).
Patient demographic and echo measurement data is automatically processed through the artificial intelligence algorithm which provides an output regarding the probability of a Severe AS phenotype to aid in the clinical diagnosis of Severe AS during the review of the patient echo study and generation of the final study report, according to current clinical practice guidelines. The software provides an output on the following assessments:
- Severe AS Phenotype Probability
Whether the patient has a high, medium, or low probability of exhibiting a Severe AS phenotype, based on analysis by the EchoSolv AS proprietary Al algorithm, that the determined predicted AVA is ≤1.0cm². The Al probability score requires a minimum set of data inputs to provide a valid output but is based on all available echocardiographic measurement data and does not rely on the traditional LVOT measurements used to in the continuity equation.
- Severe AS Guideline Assessment
Whether the patient meets the definition for Severe AS based on direct evaluation of provided echocardiogram data measurements (AV Peak Velocity, AV Mean Gradient and AV Area) with current clinical practice guidelines (2020 ACC/AHA Guideline for the Management of Patients with Valvular Heart Disease).
EchoSolv AS is intended to be used by board-certified cardiologists who review echocardiograms during the evaluation and diagnosis of structural heart disease, namely aortic stenosis. EchoSolv AS is intended to be used in conjunction with current clinical practices and workflows to improve the identification of Severe AS cases.
Here's an analysis of the acceptance criteria and study detailed in the provided document for the EchoSolv AS device:
1. Table of Acceptance Criteria and Reported Device Performance
The document does not explicitly state "acceptance criteria" in a tabulated format. However, based on the performance data presented, the implicit acceptance criteria can be inferred from the reported performance and comparison to a predicate device. The performance metrics reported are AUROC, Sensitivity, Specificity, Diagnostic Likelihood Ratios (DLR), and improvement in reader AUROC and concordance in the MRMC study.
Performance Metric | Implicit Acceptance Criterion (Based on context/predicate) | Reported Device Performance (EchoSolv AS) |
---|---|---|
Standalone Performance | ||
AUROC (Overall) | Expected to be high, comparable to or better than predicate (Predicate: 0.927 AUROC) | 0.948 (95% CI: 0.943-0.952) |
Sensitivity (at high probability) | High (No specific threshold given, but expected to detect a good proportion of true positive cases) | 0.801 (95% CI: 0.786-0.818) |
Specificity (at high probability) | High (No specific threshold given, but expected to correctly identify true negative cases) | 0.923 (95% CI: 0.915-0.932) |
DLR (Low Probability) | Low (Indicative of low probability of disease) | 0.067 (95% CI: 0.057-0.080) |
DLR (Medium Probability) | Close to 1 (Weakly indicative) | 0.935 (95% CI: 0.829-1.05) |
DLR (High Probability) | High (Strongly indicative of disease) | 10.3 (95% CI: 9.22-11.50) |
Cochran-Armitage Trend Test (p-value) | Statistically significant trend (p |
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