K080469 · bioMerieux, Inc. · LTK · Jun 22, 2009 · Immunology
Device Facts
Record ID
K080469
Device Name
VIDAS CA 15-3 ASSAY
Applicant
bioMerieux, Inc.
Product Code
LTK · Immunology
Decision Date
Jun 22, 2009
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 866.6010
Device Class
Class 2
Attributes
Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K080469 · Jun 22, 2009
VIDAS CA 15-3 ASSAY
bioMerieux, Inc.
Retrospective sample banks (M.D. Anderson Cancer Center); Patient medical records/clinical course data
Retrospective clinical samples and associated medical record data were used to assess the clinical performance of the VIDAS CA 15-3 assay in monitoring disease progression or response to therapy in breast cancer patients.
Retrospective study; Breast cancer monitoring; Clinical performance
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Retrospective analysis of serial patient samples; Follow-up/Duration: Samples collected at or after diagnosis throughout the clinical course
80 subjects with confirmed breast cancer (Stage I – IV); Sample Size: 80 subjects (353 individual samples); Number of Sites: 1 (M.D. Anderson Cancer Center)
Not applicable for this study
Concordance between significant change in CA 15-3 values (≥12%) and recorded change in patient disease state
Indications for Use
VIDAS® CA 15-3 is an automated quantitative test for use on the VIDAS® instruments for the quantitative measurement of CA 15-3 reactive antigenic determinants in human serum using the ELFA technique (Enzyme Linked Fluorescent Assay). The VIDAS® CA 15-3 is indicated for the serial measurement of CA 15-3 reactive antigenic determinants as an aid in the monitoring of patients previously diagnosed with breast cancer for disease progression or response to therapy in conjunction with other clinical methods. The VIDAS CA® 15-3 assay can also be used as an aid in the detection of recurrence in previously treated Stage II and III breast cancer patients.
Device Story
VIDAS CA 15-3 is an automated, quantitative, in vitro diagnostic immunoassay for human serum; utilizes Enzyme Linked Fluorescent Assay (ELFA) technology. Device uses Solid Phase Receptacle (SPR) coated with mouse monoclonal 115D8 antibodies to capture CA 15-3 antigens; conjugate uses alkaline phosphatase-labeled monoclonal DF3 antibody. Instrument performs automated two-step sandwich immunoassay; cycles reaction medium and substrate (4-Methyl-umbelliferyl phosphate) through SPR. Fluorescence measured at 450 nm; intensity proportional to CA 15-3 concentration. Instrument automatically calculates results against stored calibration curve. Used in clinical laboratory settings by trained personnel. Provides quantitative data to clinicians to assist in monitoring breast cancer patients for disease progression, therapy response, or recurrence, in conjunction with other clinical methods.
Clinical Evidence
Retrospective study of 80 breast cancer patients (Stage I-IV) providing 273 evaluable observation pairs. Compared change in CA 15-3 values (≥12% threshold) to physician-determined disease progression. Positive percent agreement 73.6% (95% CI: 65.4-81.5%); negative percent agreement 65.9% (95% CI: 59.0-72.5%). Per-subject analysis showed 94.6% positive percent agreement. Analytical performance included precision (total CV 4.03-6.06%), linearity, and interference testing.
Technological Characteristics
ELFA immunoassay; uses SPR coated with mouse monoclonal 115D8 antibodies; alkaline phosphatase-labeled monoclonal DF3 antibody conjugate; 4-methylumbelliferyl phosphate substrate. Automated on VIDAS/mini VIDAS platforms. Measuring range 2.00–365.00 U/mL. Reagents include sodium azide preservative. Traceable to bioMérieux working standards and Fujirebio RIA method.
Indications for Use
Indicated for serial measurement of CA 15-3 in human serum to monitor disease progression or therapy response in patients previously diagnosed with breast cancer; also aids in detecting recurrence in previously treated Stage II and III breast cancer patients.
Regulatory Classification
Identification
A tumor-associated antigen immunological test system is a device that consists of reagents used to qualitatively or quantitatively measure, by immunochemical techniques, tumor-associated antigens in serum, plasma, urine, or other body fluids. This device is intended as an aid in monitoring patients for disease progress or response to therapy or for the detection of recurrent or residual disease.
Special Controls
*Classification.* Class II (special controls). Tumor markers must comply with the following special controls: (1) A guidance document entitled “Guidance Document for the Submission of Tumor Associated Antigen Premarket Notifications (510(k)s) to FDA,” and (2) voluntary assay performance standards issued by the National Committee on Clinical Laboratory Standards.
Predicate Devices
Tosoh Medical, Inc. ST AIA Pack BRCA (k010796)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
k080469
B. Purpose for Submission:
New Device
C. Measurand:
Cancer Antigen 15-3 (CA 15-3)
D. Type of Test:
Quantitative, Enzyme Linked Fluorescent assay (ELFA)
E. Applicant:
bioMérieux, Inc.
F. Proprietary and Established Names:
VIDAS® CA
G. Regulatory Information:
1. Regulation section:
21 CFR 866.6010 Tumor-associated antigen immunological test system
2. Classification:
Class II
3. Product code:
MOI, System, Test, Immunological, Antigen, Tumor
4. Panel:
Immunology (82)
H. Intended Use:
1. Intended use(s):
VIDAS® CA 15-3 is an automated quantitative test for use on the VIDAS® instruments for the quantitative measurement of CA 15-3 reactive antigenic determinants in human serum using the ELFA technique (Enzyme Linked Fluorescent Assay). The VIDAS® CA 15-3 is indicated for the serial measurement of CA 15-3 reactive antigenic determinants as an aid in the monitoring of patients previously diagnosed with breast cancer for disease progression or response to therapy in conjunction with other clinical methods. The VIDAS CA® 15-3 assay can also be used as an aid in the detection of recurrence in previously treated Stage II and III breast cancer patients.
2. Indication(s) for use:
Same as Intended Use.
3. Special conditions for use statement(s):
Prescription use only.
4. Special instrument requirements:
VIDAS® or mini VIDAS® analyzer
I. Device Description:
Each VIDAS CA 15-3 kit contains reagents sufficient for 30 tests. The kit is comprised of 30 CA 15-3 reagent strips (10 wells per strip), 30 CA 15-3 Solid Phase Receptacle (SPR) (coated with anti-CA 15-3 mouse monoclonal 115D8 antibodies and also serves as the pipetting device), CA 15-3 control (C1)(1 ml, ready-to-use), CA 15-3 calibrator (S1)(1.5 mL, ready-to-use with bovine albumin, DF3 antigenic determinants (human origin), and sodium
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azide), CA 15-3 diluent (5 mL, ready-to-use vial with calf serum and sodium azide), one MLE (Master Lot Entry) card (contains C1 value range and SI dose value and relative fluorescence value range), clip seal, and package insert.
## Description of the CA 15-3 Reagent Strip
| Wells | Reagents |
| --- | --- |
| 1 | Sample well. |
| 2 - 3 - 4 | Empty wells. |
| 5 | Conjugate: Alkaline phosphatase labeled monoclonal DF3 antibody + 0.9 g/L sodium azide (400 μL). |
| 6 - 7 | Wash buffer: Tris (0.1 mol/L, pH 7.4) + NaCl (0.1 mol/L) + Tween (0.05%) + 0.9 g/L sodium azide (600 μL). |
| 8 | Diluent: Tris (0.1 mol/L) + NaCl (0.1 mol/L) + calf serum (5%) + 0.9 g/L sodium azide (400 μL). |
| 9 | Wash buffer: Tris (0.1 mol/L, pH 7.4) + NaCl (0.1 mol/L) + Tween (0.05%) + 0.9 g/L sodium azide (600 μL). |
| 10 | Cuvette with substrate: 4-Methyl-umbelliferyl phosphate (0.6 mmol/L) + diethanolamine (DEA*) (0.62 mol/L or 6.6%, pH 9.2) + 1 g/L sodium azide (300 μL). |
## J. Substantial Equivalence Information:
1. Predicate device name(s): Tosoh Medical, Inc. ST AIA Pack BRCA
2. Predicate K number(s): k010796
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Specimen | Serum | Serum |
| Analyte | CA 15-3 | CA 27.29 (CA15-3) |
| Assay Principle | Two antibody “sandwich” assay One antibody is bound to a solid phase and the second antibody is in liquid form and is labeled with fluorescent compound | Same |
| Assay Technique | Enzyme-linked fluorescent assay (ELFA) | Same |
| Enzyme label | Alkaline phosphatase | Same |
| Substrate | 4-methylumbelliferyl phosphate (4MUP) | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | For the serial measurement of CA 15-3 reactive antigenic determinants as an aid in the monitoring of patients | For the quantitative measurement of CA27.29 in human serum used as an aid in monitoring response to therapy |
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| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| | previously diagnosed with breast cancer for disease progression or response to therapy in conjunction with other clinical methods. The VIDAS CA 15-3 assay can also be used as an aid in the detection of recurrence in previously treated Stage II and III breast cancer patients. | for patients with Stage IV (metastatic) breast cancer as well as determining early recurrence in Stage II and Stage III breast cancer patients who were previously treated and free of disease. Serial testing for patient CA27.29 assay values should be used in conjunction with other clinical methods used for monitoring response to therapy in patients with Stage IV metastatic breast cancer and for detecting early recurrence in Stage II and Stage III disease. |
| Antibody | Mouse monoclonal 115D8 and DF3 antibodies | Mouse monoclonal antibodies to CA 15-3 |
| Measurement range | 2.00 – 365.00 U/mL | 2.0 – 400 U/mL |
| Sample Volume | 100 μL | 20 μL |
| Positive change from previous value (significant) | 12% | 10% |
| Traceability/Standardization | Master curve for each kit lot and each calibrator lot are traceable to working standards established by bioMérieux, Inc. and value assigned by the Fujirebio Diagnostics, Inc. radioimmunoassay method | Each calibrator lot are traceable to internal reference standards |
| Instrument platforms | Vidas and mini Vidas instruments | TOSOH AIA Nex·IA and AIA-600 II Immunoassay analyzers |
K. Standard/Guidance Document Referenced (if applicable):
CLSI EP5-A2; Evaluation of Precision Performance of quantitative measurement methods; Approved Guideline – Second Edition.
CLSI EP6-A; Evaluation of linearity of quantitative measurement procedures: A statistical approach; Approved Guideline
EP09-A2 Method Comparison and Bias Estimation Using Patient Samples; Approved Guideline
CLSI EP17-A; Protocols for the determination of limits of detection and limits of quantitation; Approved Guideline.
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L. Test Principle:
The assay principle combines a 2-step enzyme immunoassay sandwich method with a final fluorescent detection (ELFA). The Solid Phase Receptacle (SPR®) serves as the solid phase as well as the pipetting device for the assay. Reagents for the assay are ready-to-use and pre-dispensed in the sealed reagent strips. All of the assay steps are performed automatically by the instrument. The reaction medium is cycled in and out of the SPR several times.
The sample is cycled in and out of the SPR several times. This operation enables the monoclonal 115D8 antibody fixed onto the interior wall of the SPR to capture the reactive antigenic determinants present in the sample. Unbound components are eliminated during the washing steps. Alkaline phosphatase labeled monoclonal DF3 antibody is then incubated in the SPR where it binds with the DF3 reactive antigenic determinants. Unbound conjugate is then eliminated during the washing steps. During the final detection step, the substrate (4-Methyl-umbelliferyl phosphate) is cycled in and out of the SPR. The conjugate enzyme catalyzes the hydrolysis of this substrate into a fluorescent product (4-Methyl-umbelliferone) the fluorescence of which is measured at 450 nm. The intensity of the fluorescence is proportional to the concentration of CA 15-3 reactive antigenic determinants present in the sample. At the end of the assay, results are automatically calculated by the instrument in relation to the calibration curve stored in memory, and then printed out.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Precision and Reproducibility were carried out at three sites. Three pooled samples covering the assay range were tested in duplicate, 2 runs per day for a period of 20 days, with 2 reagent lots. Two separate calibrations were performed on each lot followed by 10 testing days per calibration. A total of 40 values were generated per sample, site, and lot, and the precision and reproducibility is summarized in the table below. The mean value (U/mL) for each pool appears in parentheses.
| | % CV | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | Pool A (270.0 U/mL) | | Pool B (67.7 U/mL) | | Pool C (21.4 U/mL) | |
| | | Lot 1 | Lot 2 | Lot 1 | Lot 2 | Lot 1 | Lot 2 |
| Site 1 | Day-to-Day | 2.06 | 2.07 | 1.23 | 1.92 | 0.74 | 2.97 |
| | Inter-assay | 0.00 | 0.25 | 1.4 | 0.00 | 0.60 | 1.19 |
| | Intra-assay | 3.35 | 3.53 | 3.2 | 3.77 | 3.59 | 3.80 |
| | Total | 3.93 | 4.10 | 3.7 | 4.23 | 3.71 | 4.97 |
| Site 2 | Day-to-Day | 2.26 | 3.38 | 1.79 | 2.64 | 1.12 | 3.93 |
| | Inter-assay | 0.00 | 0.64 | 0.19 | 0.99 | 2.07 | 2.24 |
| | Intra-assay | 3.11 | 4.00 | 3.42 | 4.55 | 3.59 | 3.76 |
| | Total | 3.84 | 5.28 | 3.87 | 5.36 | 4.29 | 5.89 |
| Site 3 | Day-to-Day | 2.45 | 2.36 | 1.20 | 2.23 | 2.60 | 2.36 |
| | Inter-assay | 1.22 | 0.60 | 0.52 | 0.00 | 1.05 | 1.28 |
| | Intra-assay | 2.10 | 3.65 | 3.44 | 3.44 | 2.29 | 4.06 |
| | Total | 3.45 | 4.39 | 3.68 | 4.10 | 3.62 | 4.87 |
| Across sites | | 4.16 | | 4.16 | | 4.56 | |
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# Lot-to-Lot
Two reagent lots were compared as described in the Precision/Reproducibility section, above, and the results described in the table below.
| Source | Pool A (270 U/mL) | Pool B (67.7 U/mL) | Pool C (21.4 U/mL) |
| --- | --- | --- | --- |
| | CV (%) | CV (%) | CV (%) |
| Between-site | 0.00 | 0.00 | 1.92 |
| Between-lot | 3.17 | 2.10 | 2.01 |
| Between-recalibration | 2.81 | 2.03 | 2.36 |
| Between-day | 0.76 | 0.00 | 1.08 |
| Between-run | 1.71 | 1.93 | 2.23 |
| Within-run | 3.09 | 3.36 | 3.32 |
| Total | 5.57 | 4.85 | 5.52 |
An additional determination for precision between lots was provided to show the total precision calculated from the QC release data of sixty-eight manufactured lots. Lot-to-lot, instrument-to-instrument, and run-to-run variability were included in the estimation. The total CV was calculated to be $4.03\% - 6.06\%$ with a median CV of $4.90\%$ . The data from these lots are as follows:
| Sample (N=12) | Mean (U/mL) | SD (U/mL) | CV (%) | # lots sample tested in |
| --- | --- | --- | --- | --- |
| X13 | 7.24 | 0.44 | 6.06% | 68 |
| X14 | 11.48 | 0.63 | 5.46% | 68 |
| X15 | 17.96 | 1.02 | 5.68% | 68 |
| X16 | 18.75 | 0.81 | 4.30% | 68 |
| X12 | 21.94 | 1.3 | 5.93% | 68 |
| X23 | 22.05 | 0.92 | 4.17% | 68 |
| X22 | 37.72 | 1.84 | 4.86% | 68 |
| X21 | 46.1 | 2.44 | 5.29% | 68 |
| X17 | 64.85 | 3.15 | 4.86% | 68 |
| X18 | 81.78 | 3.98 | 4.87% | 68 |
| X19 | 91.59 | 3.69 | 4.03% | 68 |
| X20 | 102.54 | 5.05 | 4.93% | 68 |
# b. Linearity/assay reportable range:
Three samples with naturally high CA 15-3 values ( $>400\mathrm{U/mL}$ ) and one naturally low sample ( $\sim 55\mathrm{U/mL}$ ) were serially diluted to $1/20$ with the CA 15-3 diluent. Linearity and recovery after dilution were studied according to a protocol based on the recommendations of the document CLSI® EP06-A and is shown to be linear over the entire measuring range.
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| Sample Actual Conc. (U/ml) | Dilution | Calculated Conc. (U/mL) | Measured Conc. (U/mL) | Recovery % |
| --- | --- | --- | --- | --- |
| Sample 1
54.78 | 1 | 54.78 | 54.78 | 100 |
| | 9/10 | 49.3 | 48.28 | 97.9 |
| | 8/10 | 43.82 | 44.24 | 100.9 |
| | 7/10 | 38.35 | 37.38 | 97.5 |
| | 6/10 | 32.87 | 33.12 | 100.8 |
| | 5/10 | 27.39 | 27.01 | 98.6 |
| | 4/10 | 21.91 | 21.55 | 98.3 |
| | 3/10 | 16.43 | 17.46 | 106.2 |
| | 1/10 | 5.48 | 5.71 | 104.2 |
| | 1/20 | 2.74 | 2.76 | 100.6 |
| Sample 2
452.06 | 8/10 | 361.7 | 361.7 | 100 |
| | 7/10 | 316.44 | 310.21 | 98 |
| | 6/10 | 271.24 | 276.96 | 102 |
| | 5/10 | 226.03 | 212.48 | 94 |
| | 4/10 | 180.82 | 168.00 | 93 |
| | 3/10 | 135.62 | 125.17 | 92 |
| | 1/10 | 45.21 | 44.09 | 98 |
| | 1/20 | 22.60 | 21.61 | 96 |
| Sample 3
606.97 | 5/10 | 303.49 | 285.86 | 94 |
| | 4/10 | 242.79 | 230.66 | 95 |
| | 3/10 | 182.09 | 193.03 | 106 |
| | 1/10 | 60.70 | 61.22 | 101 |
| | 1/20 | 30.35 | 31.95 | 105 |
| Sample 4
498.06 | 6/10 | 298.84 | 325.37 | 109 |
| | 5/10 | 249.03 | 263.03 | 106 |
| | 4/10 | 199.22 | 207.70 | 104 |
| | 3/10 | 149.42 | 147.97 | 99 |
| | 1/10 | 49.81 | 56.23 | 113 |
| | 1/20 | 24.90 | 27.17 | 109 |
## High Dose Hook Effect:
A serum sample with high CA 15-3 (approximately 13,000 U/mL) was tested with three separate manufactured lots. The undiluted sample gave a Relative Fluorescence Value (RFV) signal near or above the approximate VIDAS fluorescent signal saturation point. The sample was diluted to 1/28 with sample diluent and the data plotted to demonstrate the RFV signal relative to the calculated concentration. No high dose hook effect was observed for CA 15-3 concentrations up to 13,000 U/mL.
c. Traceability, Stability, Expected values (controls, calibrators, or methods): Traceability: Assay calibrators are traceable to working standards established by bioMérieux, Inc. with values assigned by Fujirebio Diagnostic Inc. radioimmunoassay method.
Stability of calibration curve: The calibration frequency was assessed using three VIDAS CA 15-3 kit lots, six instruments (2 per kit lot), 8 working standards, the lot-
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specific assay calibrator (S1) and control (C1), and 5 internal control sera and performed over an 8 week period. The first week seven (7) runs were performed on the 3 VIDAS #1 instruments, one per kit lot, using the working standards to establish the Master Curve for the kit lots. An additional 15 runs were performed on the remaining 3 instruments (#2) using the working standards and lot-specific S1 in duplicate, and 5 internal control sera and lot-specific C1 in singlet. The runs were repeated on weeks 2-8, one run per week on the two VIDAS #2 instruments. The assay was calibrated every 14 and 28 days. The concentrations obtained by total calibration were not significantly different from those obtained by systematic recalibration or 14 day/28 day recalibration indicating the assay can be recalibrated with the kit lot-specific calibrator, tested in duplicate, at a frequency of 14 days.
Calibrator and control stability is 12 months when stored at 2-8°C. Reconstituted calibrator and control stability is 2 weeks when stored at 2-8°C or 7 months when stored at -25 ± 6°C.
Freeze/thaw calibrator stability: One lot of control and calibrator was tested. The acceptance criterion was target concentration plus 3 standard deviations. Frozen calibrator was demonstrated to be able to undergo up to five freeze/thaw cycles.
d. Detection limit:
Limits of blank, detection, and quantitation were determined using 2 kit lots on 2 instruments (one per lot) using CLSI protocol EP17-A. Five low CA 15-3 samples were tested using two lots on two VIDAS instruments. Tested CA 15-3 values ranged from approximately 0.79 to 1.38 U/mL. Acceptance criteria for the limit of blank, detection, and quantitation were described as follows:
- Limit of blank (LOB) – highest measurement result which has a 95% probability to be observed for a blank sample. It is the 95th percentile of a blank distribution
- Limit of detection (LOD) – lowest amount of analyte that can be detected with 95% probability, though not quantified at an exact value.
- Limit of quantitation (LOQ) – lowest actual amount of analyte that can be reliably detected and at which total error meets lab requirements for accuracy.
The results support a claim for LOB, LOD and LOQ of less than 2 U/mL. Therefore, the lowest value for the range of the assay is 2 U/mL.
e. Analytical specificity:
Hemoglobin, triglyceride, bilirubin, human albumin, rheumatoid factor (RF), HAMA, and 27 anti-cancer and over-the-counter (OTC)-drug interferents were evaluated for interference when added to three human serum samples containing very low, low, and moderate concentrations of CA 15-3 (approximately 7, 32, and 217 U/mL, respectively). The stock solutions of HAMA, RF, and albumin interferents were prepared by initially dissolving the HAMA and RF in human plasma and the albumin in water, prior to spiking into the CA 15-3 containing serum samples. Each sample was divided into two aliquots and one spiked with the potential interferents and the other spiked with buffer only. Three intermediate levels were prepared by variable
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mixing of the two aliquots. Aliquots of each concentration were tested in single replicates in three runs. None of the potential interferents (see table below) were found to significantly influence this assay where acceptance was defined as the mean $\pm 2\mathrm{SD}$ relative to the blank.
| Interferent | Concentrations tested |
| --- | --- |
| Hemoglobin | 0 – 312 umol/L |
| Triglyceride | 0 – 30 g/L |
| Bilirubin | 0 – 513 umol/L |
| Human albumin | 0 – 150 mg/mL |
| Rheumatoid factor | 0 – 100.5 IU/mL |
| HAMA | 0 – 912.5 mg/mL |
A CA 15-3 positive serum pool with a CA 15-3 concentration of $67.7 \pm 10.38 \mathrm{U} / \mathrm{mL}$ was spiked with each drug listed in the table below, at a final concentration of at least $3 \mathrm{X}$ its therapeutic dose. No significant interference was noted for tested drugs and all $\%$ recoveries were within the acceptance range of $90 - 110\%$ .
| Tested interfering drugs | |
| --- | --- |
| 5-fluorouracil | Acetaminophen |
| N-acetyl-L-cysteine | Acetylsalicylic acid |
| Ampicillin | Ascorbic acid |
| Bleomycin | Carboplatin |
| Cefoxitin | Cisplatin |
| Cyclophosphamide | Cyclosporine |
| Dactinomycin | Doxocycline |
| Doxorubicin | Etoposide |
| Ibuprofen | Levodopa |
| Methotrexate | Metronidazole |
| Mitomycin C | Naprosyn |
| Paclitaxel | Phenylbutazone |
| Rifampicin | Vinblastine |
| Vincristine | |
# Cross-reactivity:
Cross-reactivity with $\beta$ -hCG, AFP, CEA, CA 19-9, CA 125, Prostate-specific antigen (PSA), and Prostatic Acid Phosphatase (PAP) was assessed using calibrators from the respective TOSOH assays. A human serum-based diluent served as a blank. All samples gave no CA 15-3 value, which was the acceptance criterion for this analysis. The samples and concentrations tested are:
$\beta$ -hCG-206mIU/mL
- AFP - 201 ng/mL
CEA-49.6 ng/mL
CA 19-9 - 423 U/mL
PSA-52ng/mL
PAP-19.3ng/mL
CA 125 - 1100 U/mL
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f. Assay cut-off:
The sponsor defines a 12% percentage change in CA 15-3 values as significant for patients being serially monitored. The significant change is 2.5 times the total imprecision of the CA 15-3 assay across sites, lots, and concentration (expressed as %CV = 4.30%). The sponsor chose this value to ensure that the change in CA 15-3 value is not attributed to assay variation.
2. Comparison studies:
a. Method comparison with predicate device:
A study consisting of 1035 paired samples representing normal, benign, and malignant conditions were included. The benign conditions included urogenital, GI tract/lung, breast, diabetes, heart disease/hypertension, and benign liver disease. Malignant conditions included treated cancers of the lung, liver, colorectal, breast, ovarian, uterine and cervix, and “other” cancers (gall bladder, gastric, pancreatic, etc.). CA 15-3 results were assayed using the VIDAS® CA 15-3 (Y) assay and the predicate assay (X). The results were analyzed by Deming regression analysis and are presented below.
Y = 0.96X - 1.94
95% Confidence interval for the intercept: - 4.90 to 1.01 U/mL
95% Confidence interval for the slope: 0.83 to 1.09
b. Matrix comparison:
Not applicable since only serum specimens are utilized.
3. Clinical studies:
a. Clinical Sensitivity and Specificity:
Not applicable.
b. Other clinical supportive data (when a. is not applicable):
The samples utilized in this study were from subjects with breast cancer obtained from retrospective sample banks at M.D. Anderson Cancer Center. Serial sets must include a minimum of 3 draws (4 draws or more desired) per subject. Samples were blood draws performed at or after diagnosis throughout as much of the clinical course as possible. Clinical information which detailed the disease status for each sample and types of any therapy received with the dates of administration was collected. Initially 80 evaluable serial sets were collected from subjects with confirmed breast cancer (Stage I – IV), yielding 353 individual samples. CA 15-3 values were obtained from a total of 273 evaluable observation pairs and the change between visits for serial samples was compared to the change in disease state. The average age of the 80 subjects was 49 years (median 48.0 yrs, SD = 10.9 yrs). Caucasian subjects comprised 78% of the sample set, Hispanic 12.5%, and Asian 1.8%. The average number of observation pairs per subject was 3.41, the median number of observation pairs per subject was 3, and the average number of draws per subject was 4.41.
The outcome of interest was defined as progression of disease from time point i (clinical visit i, i=1 to n-1) to a succeeding time point j (clinical visit j, j=i+1 to n). The number of clinical visits for which samples and data are available is defined as n.
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The visit number made by a study subject is at the time of diagnosis or after diagnosis and prior to death, loss to follow-up or remission of disease. The sponsor statistically defines $\mathbf{w}_{\mathrm{ij}}$ as a variable representing disease progression and has 2 values as follows:
1 if there is disease progression from visit $i$ to visit $j$
0 if no progression (stable disease, response to therapy) from visit $i$ to visit $j$ Disease progression is determined by the subject's physician and is based on any or a composite of physical signs/symptoms, results of lab tests for colorectal cancer, radiographic findings (CAT scans, PET scans, MRI, x-ray, or ultrasound), or patient reported symptoms.
The sponsor defined the variable $\mathrm{v_{ij}}$ as 1 if the difference in value of the test assay at visit $i(\mathbf{x}_i)$ and value of the test assay at a later visit $j(\mathbf{x}_j)$ is greater than or equal to $12.0\%$ (i.e. $\mathrm{v_{ij}} = 1$ if $(\mathrm{x}_j - \mathrm{x}_i) \geq 12.0\%$ ). The variable $\mathrm{v_{ij}}$ is 0 if the difference is otherwise (i.e. $\mathrm{v_{ij}} = 0$ if $(\mathrm{x}_j - \mathrm{x}_i) < 12.0\%$ ). The sponsor chose this value to ensure that the change in CA 15-3 value is not attributed to assay variation and is statistically significant. According to the predicate's package insert, a positive (significant change) is defined as an increase of more than $10\%$ . To determine an association between the variables w (disease progression) and v (change in CA 15-3 value) a $2 \times 2$ contingency table can be constructed to find an association between variables. Items in each of the 4 cells represent pairs of v and w (1 and/or 0) for visits for all subjects (or for subjects only). Concordance between the significance of the change in CA 15-3 values between visits and the recorded change in the patient's disease state was reported as percent agreement.
| | Change in Disease State | | |
| --- | --- | --- | --- |
| Change in Test Device | Progression | No Progression | Total |
| ≥12.0% (significant) | 78 | 57 | 135 |
| <12.0 % (not significant) | 28 | 110 | 138 |
| Total | 106 | 167 | 273 |
Positive percent agreement: $73.6\%$ (78/106) $(\mathrm{CI}_{95\%}: 65.4 - 81.5\%)$
Negative percent agreement: $65.9\%$ (110/167) $(\mathrm{CI}_{95\%}: 59.0 - 72.5\%)$
Overall percent agreement: $68.9\%$ (188/273) $(\mathrm{CI}_{95\%}: 63.4 - 74.2\%)$
A per subject analysis was provided for the 80 subjects for the change in CA 15-3 values between visits and change disease state.
| | Change in Disease State | | |
| --- | --- | --- | --- |
| Change in Test Device | Progression | No Progression | Total |
| ≥12.0% (significant) | 53 | 15 | 68 |
| <12.0% (not significant) | 3 | 9 | 12 |
| Total | 56 | 24 | 80 |
Positive percent agreement: $94.6\%$ (53/56) $(\mathrm{CI}_{95\%}: 88.1 - 100\%)$
Negative percent agreement: $37.5\%$ (9/24) $(\mathrm{CI}_{95\%}: 18.5 - 58.3\%)$
Overall percent agreement: $77.5\%$ (62/80) $(\mathrm{CI}_{95\%}: 67.5 - 88.3\%)$
{10}
A second analysis of the same study data was performed, in which the subjects diagnosed as Stage I who never increased in stage were omitted from the analysis. From the Stage II – IV patients, there were a total of 316 evaluable observations yielding 246 observation pairs. The breakdown of the serial sets is presented in Table 1 in the submission. The average number of observation pairs per subject is 3.5 and the median number of observation pairs per subject was 3.
| | Change in Disease State | | |
| --- | --- | --- | --- |
| Change in Test Device | Progression | No Progression | Total |
| ≥12.0% (significant) | 78 | 50 | 128 |
| <12.0 % (not significant) | 28 | 90 | 118 |
| Total | 106 | 140 | 246 |
Positive percent agreement: 73.6% (78/106) $(\mathrm{CI}_{95\%}: 65.6 - 81.6\%)$
Negative percent agreement: $64.3\%$ (90/140) $(\mathrm{CI}_{95\%}: 56.8 - 71.6\%)$
Overall percent agreement: $68.3\%$ (168/246) $(\mathrm{CI}_{95\%}: 62.6 - 74.1\%)$
4. Clinical cut-off:
See assay cut-off above.
5. Expected values/Reference range:
The reference values were determined from a healthy population of 202 ambulatory women from 18 - 80 years old. The group was made of 130 pre-menopausal ( $\leq 50$ yrs) and 72 post-menopausal women ( $>50$ yrs). The results for these normal healthy subjects were as follows:
| Menopausal status | N = | Percentage (%) of the population according to the range of values in U/mL | | | | 95th percentile (U/mL) | 95% CI |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | < 30.00 | 30.01 – 60.00 | 60.01 – 120.00 | > 120.00 | | |
| Pre | 130 | 99.23 | 0.77 | 0.00 | 0.00 | 23.16 | 22.07 – 24.09 |
| Post | 72 | 87.50 | 12.50 | 0.00 | 0.00 | 33.79 | 29.62 – 36.95 |
| Total | 202 | 95.05 | 4.95 | 0.00 | 0.00 | 29.10 | 26.99 – 32.07 |
# Benign Disease Cohort
Prospectively collected serum samples from a total of 433 subjects with diagnosed benign diseases were tested using the VIDAS® CA 15-3 assay.
| Benign disease | N= | Percentage (%) of the population according to the range of values in U/mL | | | | 95th percentile (U/mL) | 95% CI |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | < 30.00 | 30.01 – 60.00 | 60.01 – 120.00 | > 120.00 | | |
| Gastro-intestinal/Lung | 59 | 98.31 | 1.69 | 0.00 | 0.00 | 26.42 | 24.84 – 28.56 |
| Urogenital disease | 96 | 90.63 | 9.37 | 0.00 | 0.00 | 32.20 | 29.34 – 38.14 |
| Chronic heart disease/ Hypertension/Benign liver | 116 | 92.24 | 7.76 | 0.00 | 0.00 | 32.64 | 29.05 – 36.99 |
| Benign breast | 55 | 98.18 | 1.82 | 0.00 | 0.00 | 24.33 | 22.17 – 30.80 |
| Diabetes | 107 | 86.92 | 12.15 | 0.93 | 0.00 | 39.06 | 33.72 – 48.54 |
| Total | 433 | 92.15 | 7.62 | 0.23 | 0.00 | 34.97 | 30.46 – 37.13 |
{11}
These figures are provided as a guide. It is recommended that each laboratory establishes its own reference values from a rigorously selected population.
## Malignant Disease Cohort
Using banked serum samples from a total of 406 subjects with a diagnosed malignant carcinoma, the following results were observed using the VIDAS® CA 15-3 assay.
| Malignant disease | N= | Percentage (%) of the population according to the range of values in U/mL | | | | 95^{th} percentile (U/mL) | 95% CI |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | < 30.00 | 30.01 – 60.00 | 60.01 – 120.00 | > 120.00 | | |
| Lung/liver cancer | 53 | 58.49 | 33.96 | 3.77 | 3.77 | 65.60 | 46.60 – 225.57 |
| Uterine/cervical cancer | 40 | 80.00 | 15.00 | 2.50 | 2.50 | 47.10 | 33.35 – 155.74 |
| Ovarian cancer | 55 | 65.45 | 21.82 | 9.09 | 3.64 | 71.82 | 45.19 – 210.25 |
| Colorectal cancer | 101 | 78.23 | 20.79 | 0.99 | 0.00 | 48.36 | 37.71 – 57.40 |
| Breast | 105 | 52.38 | 26.67 | 7.62 | 13.33 | 272.16 | 184.61 – 663.20 |
| Other cancers (Gall bladder/ gastric/ pancreatic...) | 52 | 76.92 | 23.08 | 0.00 | 0.00 | 40.98 | 34.00 – 44.93 |
| Total | 406 | 67.24 | 23.89 | 4.19 | 4.68 | 94.29 | 66.53 – 209.27 |
## N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
## 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.