K040257 · Quest Diagnostics, Inc. · LDJ · Jun 14, 2004 · Clinical Toxicology
Device Facts
Record ID
K040257
Device Name
QUEST DIAGNOSTICS HAIRCHECK-DT (THC)
Applicant
Quest Diagnostics, Inc.
Product Code
LDJ · Clinical Toxicology
Decision Date
Jun 14, 2004
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.3870
Device Class
Class 2
Indications for Use
The Quest Diagnostics HairCheck-DT (THC-COOH) is a bipartite device employing enzyme-linked immunosorbent assay (ELISA) for qualitative screening at 1.0 pg/mg hair of THC-COOH and Gas Chromatography – Mass Spectroscopy – Mass Spectroscopy (GC-MS-MS) for confirmation and the final quantitative reporting of THC-COOH in human hair samples for the purpose of identifying chronic marijuana use. This process has not been evaluated with hair specimens other than head. This process is intended exclusively for in-house professional use only. The process is not intended for sale to anyone. Clinical consideration and professional judgement should be applied to any drug of abuse test result. The device is for in vitro diagnostic use. The device is for prescription use only.
Device Story
Device is a bipartite analytical system for detecting THC-COOH in hair samples. Process utilizes an initial immunosorbent assay (ELISA) for qualitative screening, followed by Gas Chromatography-Mass Spectrometry-Mass Spectrometry (GC/MS/MS) for quantitative confirmation. Intended for in-house professional use by laboratory personnel. Output consists of qualitative screening results and quantitative drug concentration values. Healthcare providers use these results to identify chronic marijuana use, applying professional judgment to interpret findings within the broader clinical context.
Clinical Evidence
No clinical data provided; device performance is based on analytical validation of the ELISA and GC/MS/MS methodologies for drug detection in hair.
Technological Characteristics
Bipartite system: 96-well microtiter plate ELISA (polyclonal rabbit anti-carboxy-THC antibody) and triple quadrupole tandem mass spectrometer (chemical ionization mode). Hair preparation involves 1M NaOH liquefaction, SPE, and derivatization (TMSI or hexafluoroisopropanol/pentafluoropropionic anhydride). Connectivity: standalone laboratory system. Sterilization: N/A.
Indications for Use
Indicated for the qualitative screening and quantitative confirmation of THC-COOH in human hair specimens to identify chronic marijuana use in professional clinical settings.
Regulatory Classification
Identification
A cannabinoid test system is a device intended to measure any of the cannabinoids, hallucinogenic compounds endogenous to marihuana, in serum, plasma, saliva, and urine. Cannabinoid compounds include delta-9-tetrahydrocannabinol, cannabidiol, cannabinol, and cannabichromene. Measurements obtained by this device are used in the diagnosis and treatment of cannabinoid use or abuse and in monitoring levels of cannabinoids during clinical investigational use.
Special Controls
*Classification.* Class II (special controls). A cannabinoid test system is not exempt if it is intended for any use other than employment or insurance testing or is intended for Federal drug testing programs. The device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 862.9, provided the test system is intended for employment and insurance testing and includes a statement in the labeling that the device is intended solely for use in employment and insurance testing, and does not include devices intended for Federal drug testing programs (*e.g.,* programs run by the Substance Abuse and Mental Health Services Administration (SAMHSA), the Department of Transportation (DOT), and the U.S. military).
Submission Summary (Full Text)
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
DEVICE ONLY TEMPLATE
A. 510(k) Number:
k040257
B. Analyte:
THC and carboxy-THC
C. Type of Test:
Qualitative screening test: immunoassay
Quantitative confirmatory test: GC-MS-MS
D. Applicant:
Quest Diagnostics, Inc.
E. Proprietary and Established Names:
Quest Diagnostics Haircheck-DT (THC)
F. Regulatory Information:
1. Regulation section:
21 CFR § 862.3870
2. Classification:
II
3. Product Code:
LDJ
4. Panel:
Toxicology (91)
G. Intended Use:
1. Intended use(s):
Refer to Indications for use.
2. Indication(s) for use:
The Quest Diagnostics HairCheck-DT (THC-COOH) is a bipartite device employing enzyme-linked immunosorbent assay (ELISA) for qualitative screening at 1.0 pg/mg hair of THC-COOH and Gas Chromatography – Mass Spectroscopy – Mass Spectroscopy (GC-MS-MS) for confirmation and the final quantitative reporting of THC-COOH in human hair samples for the purpose of identifying chronic marijuana use. This process has not been evaluated with hair specimens other than head. This process is intended exclusively for in-house professional use only. The process is not intended for sale to anyone. Clinical consideration and professional judgement should be applied to any drug of abuse test result.
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The device is for in vitro diagnostic use.
The device is for prescription use only.
3. Special condition for use statement(s):
The Quest Diagnostics HairCheck-DT (THC-COOH) combines a screening method (immunoassay) with a confirmation method (GC-MS-MS) in one test system. A negative screening result is reported as negative. A presumptive positive screening result is not reported until it has been confirmed by GC-MS-MS. The assay is not designated for use in point-of-care settings.
4. Special instrument Requirements:
See device description below
H. Device Description:
The Quest Diagnostics HairCheck-DT (THC) is a bipartite system for testing marijuana in hair using the combination of an immunoassay and a GC/MS/MS confirmation procedure. The screening assay uses a 96 well solid-phase microtiter plate ELISA immunoassay. Confirmation testing is done by GC-MS-MS using a triple quadrupole tandem mass spectrometer running in chemical ionization product ion mode.
I. Substantial Equivalence Information:
1. Predicate device name(s): Dade Behring EMIT II Cannabinoids Assay
2. Predicate K number(s): k993984
3. Comparison with predicate:
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| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Analyte | Same | THC-COOH |
| Differences | | |
| Item | Device | Predicate |
| Matrix | Hair (head only) | Urine |
| Cutoff(s) - Screen | 1 pg carboxy-THC/mg hair | 20, 50, or 100 ng/mL urine |
| Cutoff(s) – Confirmatory Test | 0.1 pg carboxy-THC/mg hair
5.0 pg THC/mg hair | N/A |
| No. of Calibrators for Screening Test | 1 | 3 |
| No. of Controls for Screening Test | 2 | 3 |
| Confirmatory test part of assay | Yes | No – screen only |
J. Standard/Guidance Document Referenced (if applicable):
The sponsor did not reference any standards in their submission.
K. Test Principle:
The Quest Diagnostics HairCheck-DT (THC) is a complete system for testing marijuana in hair using the combination of an immunoassay and a GC/MS/MS confirmation procedure. The screening assay is a solid-phase microtiter plate ELISA immunoassay. The test is performed in microwells coated with a high affinity polyclonal capture antibody of rabbit origin to carboxy-THC. An extract of the hair sample is added to the well, followed by the enzyme conjugate. During this initial phase, the enzyme conjugate competes with the analyte in the sample for binding sites on the antibody-coated microwells. A wash solution is then applied to remove any unbound materials such as excess conjugate and residual sample. Enzyme substrate is then added for the initial color development process. A strong acid solution is used as stopping reagent for the final color development process. Color intensity is inversely proportional to the amount of analyte present in the sample. Samples that contain carboxy-THC will inhibit binding of the enzyme conjugate to the antibody, resulting in little substrate binding and less color development than in the negative calibrator. Carboxy-THC concentration in the liquid matrix sample is converted to an equivalent concentration in pg carboxy-THC/mg hair. Samples with carboxy-THC concentrations < 1.0 pg/mg are reported as negative. Samples with carboxy-THC concentrations ≥ 1.0 pg/mg are tested further by the confirmation procedure.
The confirmation procedure utilizes a triple quadrupole tandem mass spectrometer running in chemical ionization product ion mode. The unknown hair samples to be tested and negative hair for controls and calibrator are transferred to labeled tubes. Samples are prepared by washing in 1 M KH₂PO₄ at 75 ± 5 °C for 30 minutes, followed by 1 mL each of deionized water, methanol, and more deionized water.
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Next 50 μL of high and low control and 100 μL of calibrator are added to the labeled negative hair samples, and 50 μL of internal standard (deuterated THC and deuterated carboxy-THC) is added to all tubes. To the hair samples are then added 500 μL of 1M NaOH, which is heated to 75 ± 5 °C for 30-45 minutes, or until the hair is liquified. After cooling, 3 mL of 1:1 methanol and water is added to each tube. Each tube is then vortexed and centrifuged at 3000 rpm for 10 minutes. The digested samples are then extracted using solid phase extraction (SPE). THC is derivatized with N-trimethylsilylimidazole (TMSI) in ethyl acetate and carboxy-THC is derivatized with hexafluoroisopropanol and pentafluoropropionic anhydride. For THC, the product ions monitored are 265/268 and 331/334 (THC/d3-THC). For carboxy-THC, the product ions monitored are 383/386 and 492/495 (carboxy-THC/d3-carboxy-THC).
## L. Performance Characteristics – Screening Assay:
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Precision was evaluated in three different protocols, one using spiked samples, one using pooled samples, and one using individual hair specimens.
To prepare the spiked samples, a negative hair matrix was spiked with THC-COOH to concentrations of 0, 0.5, 1.0, and 2.0 pg/mg hair, which correspond to the negative control, 50% of the cutoff concentration, the cutoff concentration, and 200% of the cutoff concentration. To assess with-in run precision, each concentration was analyzed 15 times in one run with the following results:
**Within-Run Precision of THC-COOH Using Spiked Samples**
| Spiked Concentration | Negative | 50% | 100% | 200% |
| --- | --- | --- | --- | --- |
| Mean | 2.266 | 1.905 | 1.468 | 0.886 |
| S.D. | 0.0503 | 0.07 | 0.0503 | 0.0418 |
| CV% | 2.2% | 3.6% | 3.4% | 4.7% |
The between-run precision was assessed by assaying the same fifteen samples on each of three days.
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## Between-Run Precision of THC-COOH Using Spiked Samples
| Spiked Concentration | Negative | 50% | 100% | 200% |
| --- | --- | --- | --- | --- |
| Mean | 2.235 | 1.969 | 1.550 | 0.882 |
| S.D. | 0.0309 | 0.05 | 0.0484 | 0.0184 |
| CV% | 1.4% | 2.6% | 3.1% | 2.1% |
To prepare the pooled samples, extracts of positive and negative hair specimens were combined to approximate the negative control, 50% of the cutoff concentration, the cutoff concentration, and 200% of the cutoff concentration. To assess with-in run precision, each concentration was analyzed 15 times in one run with the following results:
## Within-Run Precision using pooled samples
| THC-COOH Pooled Sample | Negative | ~50% | ~100% | ~200% |
| --- | --- | --- | --- | --- |
| Mean | 2.258 | 1.878 | 1.418 | 0.439 |
| S.D. | 0.0783 | 0.0333 | 0.0388 | 0.0352 |
| CV% | 3.5% | 1.8% | 2.7% | 8.0% |
The between-run precision was assessed by assaying the same fifteen samples on each of three days.
## Between-Run Precision using pooled samples
| THC-COOH Pooled Sample | Negative | ~50% | ~100% | ~200% |
| --- | --- | --- | --- | --- |
| Mean | 2.198 | 1.809 | 1.371 | 0.470 |
| S.D. | 0.0335 | 0.0324 | 0.0227 | 0.0131 |
| CV% | 1.5% | 1.8% | 1.7% | 2.8% |
To further characterize precision on replicate measurements of hair samples, four individual hair specimens that had recently tested positive by ELISA for THC-COOH and had absorbance values close to that of the cutoff calibrator were re-analyzed. Two of the samples were run three times, one of the samples was run four times, and one of the samples was run six times. Each of the samples was taken through the entire process including washing and extraction. Absorbance readings for the samples, as well as a blank, calibrator, and controls are shown below:
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| Accession # | 194570 | 197280 | 198374 | 198143 | CAL | LOW | HIGH | BLK |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | 1.486 | 1.323 | 1.018 | 0.967 | 1.634 | 1.936 | 0.914 | 2.371 |
| | 1.483 | 1.366 | 1.144 | 1.068 | 1.611 | 2.030 | 0.987 | 2.422 |
| | 1.467 | 1.377 | 1.156 | 0.958 | 1.620 | 1.968 | 1.047 | 2.384 |
| | 1.435 | 1.399 | | | 1.710 | 2.009 | 1.001 | 2.396 |
| | | 1.487 | | | | | | |
| | | 1.462 | | | | | | |
| | | | | | | | | |
| std dev | 0.023 | 0.032 | 0.076 | 0.061 | 0.045 | 0.042 | 0.055 | 0.022 |
| mean | 1.468 | 1.402 | 1.106 | 0.998 | 1.644 | 1.986 | 0.987 | 2.393 |
| %CV | 1.59% | 2.28% | 6.91% | 6.12% | 2.75% | 2.11% | 5.59% | 0.91% |
Number of days: not specified
Replicates per day: not specified
Lots of product used: not specified
Number of operators: one
Operator: laboratorian
Testing Facility: manufacturer's laboratory
# b. Linearity/assay reportable range:
Not applicable. The assay is intended for qualitative use.
# c. Traceability (controls, calibrators, or method):
Stock standards of THC and carboxy-THC, which are used to prepare the controls and calibrators, are purchased from commercial vendors. Traceability of controls is established through GC/MS analysis. The sponsor states that control and calibrator values must be within $\pm 20\%$ of the target value.
# d. Detection limit:
The limit of detection (in pg/mg) was determined by calculating the mean negative calibrator absorbance $(\mathrm{A_0})$ minus two times the SD $(\mathrm{LOD} = \mathrm{A_0 - 2SD})$ . The calculation of sensitivity was determined in matrix samples by calculating the mean absorbance value of each set of 18 zero calibrators and adding two standard deviations for the corresponding group. The estimated limit of detection was determined to be $0.18~\mathrm{pg}$ carboxy-THC / mg hair.
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# e. Analytical specificity:
The cross-reactivities eight structurally related compounds were evaluated by spiking them in to a $46\mathrm{mM}$ phosphate buffer containing negative hair matrix. Results were as follows:
| Potential Cross-reacting Compound | % Cross-reactivity | Concentration required to produce a positive result equivalent to 1 pg/mg hair of 11-nor-9-carboxy-delta-9-tetrahydrocannabinol |
| --- | --- | --- |
| 11-nor-9-carboxy-delta-9-tetrahydrocannabinol | 100 | 1 |
| 11-nor-9-carboxy-delta-8-tetrahydrocannabinol | 83.33 | 1.20 |
| 11-nor-9-carboxy-delta-9-tetrahydrocannabinol-glucuronide | 83.33 | 1.20 |
| Delta-9-tetrahydrocannabinol | 29.41 | 3.40 |
| Delta-8-tetrahydrocannabinol | 16.66 | 6.00 |
| 11-Hydroxy-delta-9-tetrahydrocannabinol | 15 | 6.66 |
| Cannabinol | 15 | 6.66 |
| Cannabidiol | <.03 | >3333.33 |
In addition, the following compounds structurally unrelated compounds were evaluated for potential positive interference with the assay. To evaluate for interference the sponsor spiked the potential interferents into a $46\mathrm{mM}$ phosphate buffer at a concentration of $10,000~\mathrm{ng / mL}$ . None of the potential interferents caused a positive result at this concentration.
| (+) Amphetamine | Buprenorphine | Cocaethylene | Acetopromazine |
| --- | --- | --- | --- |
| (+) Methamphetamine | Codeine | Meta-hydroxybenzoylecgonine | Chlorpromazine |
| (+) Pseudoephedrine | Dextromethorphan | Ecgonine | Desmethyldoxepin |
| (+/-) 2,5-Dimethoxy-4-bromoamphetamine | Dihydrocodeine | Anhydroecgonine methyl ester | Promazine |
| (+/-) MDA | Dihydromorphine | Ecgonine methyl ester | Promethiazine |
| (+/-) MDEA | Ethylmorphine | Aminoflunitrazepam | Propionazine |
| (+/-) MDMA | Heroin | Chlordiazepoxide | Propionyl promazine |
| (-) Amphetamine | Hydrocodone | Clonazepam | Thioridazine |
| (-) Methamphetamine | Hydromorphone | Desalkylflurazepam | Trifluperazine |
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| 1R,2S(-) Ephedrine | Levorphanol | Diazepam | Triflupromazine |
| --- | --- | --- | --- |
| 1S,2R (+) Ephedrine | Morphine | Flunitrazepam | Trimeprazine |
| (-) Phenylephrine | Morphine-3-beta-glucuronide | Flurazepam | (+/-) Ketamine |
| Hydroxymethamphetamine | Morphine-6-beta-glucuronide | Lorazepam | Methylphenidate |
| Diphenhydramine | 6-Monoacetylmorphine | Nitrazepam | Tramadol |
| Fenfluramine | Nalbuphine | Nordiazepam | O-desmethyltramadol |
| HMMA | Nalorphine | Oxazepam | N-desmethyltramadol |
| Hydroxyephedrine | Naltrexone | Temazepam | Meperidine |
| Labetalol | Norbuprenorphine | Triazolam | (+/-) Alphaprodine |
| Mephentermine | Norcodeine | Haloperidol | Effexor |
| Methoxyphenamine | Normorphine | Desipramine | Diphenoxylate |
| Noscapine | Noroxycodone | Imipramine | Anileridine |
| Phendimetrazine | Noroxymorphone | Azaperone | Meperidinic acid |
| Phentermine | Oxycodone | Droperidol | Normeperidinic acid |
| Phenylpropanolamine | Oxymorphone | Pemoline | Normeperidine |
| R (+) Methcathinone | Thebaine | (-)-Alpha-methadol | Iso-LSD |
| R(+) Cathinone | Acebutolol | 5,5-Diphenylhydantoin | LAMPA |
| (+) Isoproterenol | Atenolol | Doxylamine | LSD |
| (+/-) Metoprolol | Bumetanide | Methadone | Lysergic acid |
| (+/-) Propanolol | Caffeine | 2-Oxo-3-hydroxy-LSD | Lysergol |
| (-) Cotinine | Cimeterol | 4-HydroxyPCP | Methylergonovine |
| (-) Isoproterenol | Clenbuterol | alpha-Ergocryptine | PCP |
| (-) Nicotine | Phenylbutazone | Carfentanil | Sufentanil |
| Furosamide | Quinidine | Dihydroergotamine | Hydrocortisone |
| Hydrochorothiazide | Salbutamol | Ergoloid | Cortisone |
| Lidocaine | Terbutaline | Ergonovine | Boldenone |
| Metaproterenol | Theophylline | Fentanyl | Sulfadimethoxine |
| Metaraminol | Papaverine | Prednisolone | Gentamicin |
| Nadolol | Pentazocine | Betamethasone | Amoxicillin |
| Oxprenolol | Desoxycorticosterone | Stanazalol | Acetophenetidin |
| Triamcinolone | Flumethasone | Sulfamethazine | |
| Progesterone | 19-Nortestosterone | Monensin | |
| Deoxycorticosterone | Corticosterone | Penicillin G | |
| Dexamethasone | Tylosin | Acetylsalicyclic acid | |
| Sulfathiazole | Tetracycline | Ibuprofen | |
| Neomycin | Erythromycin | Doxepin | |
| Streptomycin | 4-Acetoamidophenol | Ethopropazine | |
| p-Acetamidophenyl-beta-D-glucuronide | Benzoylecgonine | Fluphenazine | |
| Amobarbital | Tropacocaine | Perphenazine | |
| Secobarbital | Norcocaine | Phenelzine | |
| Phenobarbital | Norbenzoylecgonine | Phenothiazine | |
| Apomorphine | Cocaine | Prochorperazine | |
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f. Assay cut-off:
The Substance Abuse and Mental Health Services Administration (SAMHSA) has not made any recommendations for cutoff concentrations for drugs of abuse testing in hair.
Characterization of how the device performs analytically around the claimed cutoff concentration appears in the precision section, above.
2. Comparison studies:
a. Method comparison with predicate device:
The cutoff concentrations of the assays used for method comparison studies were:
Predicate device (urine): 50 ng carboxy-THC/mL
Quest ELISA: 1.0 pg carboxy-THC/mg hair
Quest GC-MS-MS: 0.1 pg carboxy-THC AND 5 pg THC/mg hair
Sponsor's results reporting criteria:
Negative result: carboxy-THC concentration less than 1.0 pg/mg hair by the ELISA assay.
Positive result: carboxy-THC concentration greater than or equal to 1.0 pg/mg hair by the ELISA assay AND carboxy-THC concentration greater than or equal to 0.1 pg/mg hair AND THC concentration greater than or equal to 5.0 pg/mg hair by the GC-MS-MS procedure.
A total of 296 samples (82 negative and 214 positive) were evaluated by the candidate device and the predicate device.
1) Negative Agreement Study – Urine Screen vs. Hair Screen
Eighty-two self-reported non-drug users provided urine and hair samples. A commercial kit for THC screening was used for the urine samples and the sponsor's screening assay was used for the hair samples. Results were as follows:
| | HAIR SCREEN | |
| --- | --- | --- |
| | POSITIVE | NEGATIVE |
| URINE | 0 | 0 |
| SCREEN | 1 | 81 |
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When the hair samples were analyzed by the sponsor's confirmation procedure, all were negative for THC and carboxy-THC.
2) Positive Agreement Study – Urine Screen vs. Hair Screen and Hair Screen vs. Hair Confirmation
This study included 214 self-reported chronic marijuana users who provided urine and hair samples. Participants reported using marijuana from the last 2 to the last 35 years. A commercial kit for THC screening was used for the urine samples and the sponsor's assay was used for the hair samples. Results were as follows:
| | HAIR SCREEN | |
| --- | --- | --- |
| | + | - |
| + | 153 | 15 |
| - | 46 | 0 |
URINE SCREEN
None of the urine samples were tested further by a confirmatory method. Hair samples which tested positive by the sponsor's screening test were further tested by the sponsor's confirmation test.
Of the 199 hair samples which screened positive, 90 were confirmed positive by the sponsor's GC-MS-MS procedure.
| | HAIR* CONFIRM | |
| --- | --- | --- |
| | + | - |
| HAIR | + | 90 |
| SCREEN | - | 0 |
| | 15 | |
*Two of the hair samples were submitted in insufficient quantity for confirmation testing and were excluded from this table
3) Combined Results – Self-reported Status vs. Sponsor Final Result
When compared to the sample donor's self-reported status (both negative and positive), the following results were obtained:
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| *SPONSOR'S
RESULT | | |
| --- | --- | --- |
| | + | - |
| SELF-REPORTED
STATUS | + | 90 |
| | - | 122 |
| | 0 | 82 |
*Two of the hair samples were submitted in insufficient quantity for confirmation testing and were excluded from this table
% Agreement among positives is 42%
% Agreement among negatives is 100%
4) Combined Results – Urine Screen vs. Sponsor Final Result
| *SPONSOR'S
RESULT | | |
| --- | --- | --- |
| | + | - |
| URINE SCREEN | + | 86 |
| | - | 81 |
| | 4 | 123 |
*Two of the hair samples were submitted in insufficient quantity for confirmation testing and were excluded from this table
% Agreement among positives is 51%
% Agreement among negatives is 97%
The study included an adequate number of samples that contained drugs near to the cutoff concentration of the assay. Approximately 10% of the study samples are evenly distributed between plus and minus 50% of the claimed cutoff concentration.
This study was performed in the manufacturer’s laboratory by one operator, who is a member of the manufacturer’s staff.
b. Matrix comparison:
Not applicable. The assay is intended for only one sample matrix.
3. Clinical studies:
a. Clinical sensitivity:
Not applicable. Clinical studies are not typically submitted for this device type.
b. Clinical specificity:
Not applicable. Clinical studies are not typically submitted for this device type.
c. Other clinical supportive data (when a and b are not applicable):
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4. Clinical cut-off:
Not applicable.
5. Expected values/Reference range:
Not applicable.
## M. Performance Characteristics – Confirmation Assay:
1. Analytical performance:
a. Precision/Reproducibility:
### Within-run Precision – carboxy-THC
Specimen description: control material (carboxy-THC in methanol)
Number of days: one
Replicates per day: 15
Results were as follows:
| | 0.20 pg carboxy-THC/mg hair | 0.50 pg carboxy-THC/mg hair | 1.0 pg carboxy-THC/mg hair |
| --- | --- | --- | --- |
| Mean | 0.219 | 0.499 | 1.084 |
| SD | 0.021 | 0.012 | 0.068 |
| CV% | 9.5 | 2.4 | 6.2 |
### Within-run Precision – THC
Specimen description: control material (THC in methanol)
Number of days: one
Replicates per day: 15
Results were as follows:
| | 2.0 pg THC/mg hair | 5.0 pg THC/mg hair | 10.0 pg THC/mg hair |
| --- | --- | --- | --- |
| Mean | 2.18 | 4.86 | 9.60 |
| SD | 0.30 | 0.30 | 1.07 |
| CV% | 13.8 | 6.1 | 11.1 |
### Between-run Precision – carboxy-THC
Specimen description: control material (carboxy-THC in methanol)
Number of days: 15
Replicates per day: 1
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Results were as follows:
| | 0.30 pg carboxy-THC/mg hair | 0.70 pg carboxy-THC/mg hair |
| --- | --- | --- |
| Mean | 0.33 | 0.73 |
| SD | 0.04 | 0.07 |
| CV% | 12.1 | 9.6 |
## Between-run Precision – THC
Specimen description: control material (THC in methanol)
Number of days: 15
Replicates per day: 1
Results were as follows:
| | 3.0 pg THC/mg hair | 7.0 pg THC/mg hair |
| --- | --- | --- |
| Mean | 3.3 | 6.4 |
| SD | 0.4 | 0.9 |
| CV% | 12.1 | 14.1 |
## b. Linearity/assay reportable range:
To assess linearity of the confirmation method, a series of 16 standards were extracted and analyzed and compared to the target concentrations. The Limit of Quantitation was defined as the lowest concentration of analyte that exhibited acceptable chromatography, ion ratios within ± 30% of the calibrator, and a calculated concentration within ± 20% of the target value. According to these criteria, the Limit of Quantitation is:
$$
\mathrm{THC} - 1.0 \mathrm{pg/mg} \text{ hair}
$$
$$
\mathrm{Carboxy-THC} - 0.025 \mathrm{pg/mg} \text{ hair}
$$
The highest reportable concentration (upper limit of linearity) was defined as the highest concentration that exhibited acceptable chromatography, ion ratios within ± 30% of the calibrator, and a calculated concentration within ± 20% of the target value. According to these criteria, the Upper Limit of Linearity is:
$$
\mathrm{THC} - 100 \mathrm{pg/mg} \text{ hair}
$$
$$
\mathrm{Carboxy-THC} - 25.0 \mathrm{pg/mg} \text{ hair}
$$
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c. Detection limit:
Please see comments in linearity section M.1.b above.
d. Assay cut-off:
The Substance Abuse and Mental Health Services Administration (SAMHSA) has not made any recommendations for cutoff concentrations for drugs of abuse testing in hair.
Characterization of how the device performs analytically around the claimed cutoff concentration appears in the precision section, above.
2. Comparison studies:
Please see method comparison data in section L.2.a above
3. Clinical studies:
a. Clinical sensitivity:
Not applicable. Clinical studies are not typically submitted for this device type.
b. Clinical specificity:
Not applicable. Clinical studies are not typically submitted for this device type.
c. Other clinical supportive data (when a and b are not applicable):
4. Clinical cut-off:
Not applicable.
5. Expected values/Reference range:
Not applicable.
N. Additional Studies Performed by the Sponsor
1. Passive exposure:
Head hair was collected from five self-reported non-drug using individuals each with a different hair color (black, brown, red, blonde and gray). Samples from each individual were placed in separate plastic bags, and contaminated with marijuana smoke prior to testing by ELISA and GC/MS/MS. The samples were then packaged and sent by a commercial air carrier to the sponsor's toxicology laboratory. Hair was cut into 2-5 mm pieces and mixed for homogeneity, then weighed out in standard 20 mg portions and placed into individual 16X100 mm test tubes. Four tubes were labeled for each specimen: screen-washed, screen-unwashed, confirm-washed and confirm
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unwashed. The hair in the tubes marked washed were taken through the respective routine wash procedures used prior to screening or confirmation. No wash procedures were used in the hair marked "unwashed".
For the screening test, all of the samples, both washed and unwashed, tested positive for carboxy-THC. For the confirmation test, all of the samples, both washed and unwashed, tested positive for THC parent drug but negative for carboxy-THC. Since the sponsor's criteria require the presence of both THC and carboxy-THC for a confirmed positive result, these samples would have been reported as negative. The sponsor states that the quantitative results for THC were unusually high and not typical of the levels encountered in the population of individuals confirming positive for THC. Therefore this exposure represents an extreme case of exposure to marijuana smoke.
2. Effect of Hair Treatments on THC and Carboxy-THC concentrations:
a. Positive Samples.
The effects of various hair treatments (i.e. bleaching, dyeing, shampooing) on the ELISA screening assay for marijuana were examined. Ninety previously screened and confirmed positive hair specimens were randomly assigned into one of three groups (thirty in each group). Each group was subjected to one of three treatment experiments (bleach, dye, or shampoo). Absorbance readings after treatment were compared to absorbance readings prior to treatment. NOTE: six of the samples, though they had previously been confirmed positive, had absorbances near to the cutoff and tested negative by the screening assay before the hair treatment was applied.
Results were as follows:
| | Bleaching | Dyeing | Shampooing |
| --- | --- | --- | --- |
| # positive samples tested that remained positive | 28 | 24 | 30 |
| # positive samples tested that became negative | 1 | 2 | 0 |
| # negative samples tested that remained negative | 0 | 1 | 0 |
| # negative samples tested that became positive | 1 | 3 | 0 |
b. Negative Samples.
In a separate study, 30 previously screened and confirmed negative samples were subjected to shampooing, bleaching and dyeing.
{15}
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Absorbance values of treated hair were compared to absorbance values of the untreated hair. Although there was a slight overall decrease in absorbance readings for all three treatments, none of the negative samples tested positive after the treatments.
**O. Conclusion:**
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.