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510(k) Data Aggregation
(107 days)
INSTANT-VIEW MDMA (ECSTASY, XTC) URINE TEST
This device is a one-step intended to provide qualitative rapid detection of methylenedioxymethamphetamine (MDMA, or Ecstasy, XTC) in human urine at a cut-off concentration of 500ng/ml. It is for health care professional use only.
This test provides only a preliminary analytical test result. A more specific alternate chemical method must be used in order to obtain a confirmed analytical result. Gas Chromatography/Mass Spectrometry (GC/MS) is the preferred confirmatory method. Clinical consideration and professional judgment should be applied to any drug of abuse test result, particularly when preliminary positive results are used.
A one-step lateral flow chromatographic immunoassay. The test strip in the device includes 1) a conjugate pad containing colloidal gold coupled with mouse anti-MDMA antibody; 2) nitrocellulose membrane containing a test line (T line) coated with MEMA-BSA and a control line (C line) coated with Goat anti mouse antibody.
Here's a summary of the acceptance criteria and the study details for the Instant-View™ MDMA (Ecstasy, XTC) Urine Test, based on the provided text:
Acceptance Criteria and Device Performance
Acceptance Criteria | Reported Device Performance |
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Accuracy (Overall Agreement) | 97.5% agreement with MDMA GC/MS data. |
Accuracy (Agreement at levels below 75% of cutoff and above cutoff) | 100% agreement with MDMA GC/MS data. |
Reproducibility | 97.5% agreement across four evaluation sites. |
Specificity (Non-cross-reactivity with other compounds at 100 µg/ml) | Most structurally related compounds showed no cross-reactivity or interference. |
Specificity (Cross-reactivity with structurally related amphetamines) | Methylenedioxyampphetamine (MDA) at 2000 ng/ml and Methylenedioxyethylamphetamine (MDEA) at 1000 ng/ml showed cross-reactivity. |
Cut-off Concentration | Qualitative detection at a cut-off of 500 ng/ml. |
Study Details
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1. Sample size used for the test set and the data provenance:
- Sample Size: 80 clinical urine specimens.
- Data Provenance: Retrospective, with no specific country of origin mentioned beyond "clinical urine specimens."
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2. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:
- This information is not provided in the text. The ground truth was established by Gas Chromatography/Mass Spectrometry (GC/MS) data, which is an analytical method, not directly dependent on expert interpretation in the same way as, for example, reading a medical image.
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3. Adjudication method for the test set:
- None stated directly for test set results. The comparison was against objective GC/MS data. Discrepancies were noted but no human adjudication process for those discrepancies is described.
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4. 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:
- No. This device is a rapid diagnostic immunoassay, not an AI-assisted diagnostic tool for human readers. Therefore, an MRMC study is not applicable.
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5. If a standalone (i.e., algorithm only without human-in-the-loop performance) was done:
- Yes, for the accuracy study. The device itself produced results that were then compared to the GC/MS ground truth. While it's a qualitative test, the performance metrics (agreement percentage) reflect the device's standalone capability.
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6. The type of ground truth used:
- Pathology/Outcomes Data: The ground truth was established using Gas Chromatography/Mass Spectrometry (GC/MS) data. This is a highly accurate and commonly accepted confirmatory method for drug testing, often considered the gold standard.
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7. The sample size for the training set:
- Not explicitly stated. The document describes "accuracy studies" and "reproducibility studies" but does not differentiate a specific "training set" for the device, as it is a lateral flow immunoassay that operates based on a fixed chemical design, not a machine learning algorithm.
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8. How the ground truth for the training set was established:
- Not applicable for a training set as the device is a chemical immunoassay, not an algorithm that undergoes a training phase with labeled data in the conventional sense of AI. The performance validation was against GC/MS data on clinical specimens.
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