ELECSYS CA 19-9 IMMUNOASSAY, ELECSYS CA 19-9 CALSET
Applicant
Roche Diagnostics Corp.
Product Code
JIT · Clinical Chemistry
Decision Date
Jul 6, 2005
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1150
Device Class
Class 2
Indications for Use
The Elecsys CA 19-9 Immunoassay is an immunoassay for the in vitro quantitative determination of CA 19-9 tumor associated antigen in human serum and plasma. The assay is indicated for the serial measurement of CA 19-9 to aid in the management of patients diagnosed with cancers of the exocrine pancreas. The test is useful as an aid in the monitoring of disease status in those patients having confirmed pancreatic cancer who have levels of CA 19-9 at some point in their disease process exceeding the median concentration determined for the apparently healthy cohort. The electrochemiluminescence immunoassay "ECLIA" is intended for use on the Roche Elecsys 1010/2010 and MODULAR ANALYTICS E170 (Elecsys module) immunoassay analyzers. The Elecsys CA 19-9 CalSet is used for calibrating the quantitative Elecsys CA 19-9 assay on the Elecsys immunoassay systems.
Device Story
Two-step sandwich immunoassay using streptavidin-coated microparticles and electrochemiluminescence (ECLIA) detection; measures CA 19-9 tumor-associated antigen in human serum/plasma. Operated by laboratory personnel on Roche Elecsys 1010/2010 or MODULAR ANALYTICS E170 systems. Input: patient serum/plasma sample; process: automated binding and signal generation; output: quantitative CA 19-9 concentration (U/mL) derived from instrument-specific calibration curve and master reagent curve. Used for serial monitoring of disease status in confirmed pancreatic cancer patients. Results assist clinicians in tracking disease progression/response to therapy. Benefits: provides quantitative data for longitudinal patient management.
Clinical Evidence
Prospective study of 89 pancreatic cancer patients (363 samples). Evaluated serial monitoring concordance between test and predicate devices. Positive concordance 0.621 (95% CI: 0.493, 0.733) and negative concordance 0.652 (95% CI: 0.588, 0.711) for test device. Total concordance 0.642. Per-patient positive concordance 0.872 (95% CI: 0.768, 0.938).
Technological Characteristics
Two-step sandwich immunoassay; electrochemiluminescence detection; streptavidin-coated microparticles; ruthenium-labeled antibodies. Analyzers: Elecsys 1010/2010, MODULAR ANALYTICS E170. Measuring range: 0.60-1000 U/mL. Calibration: 2-point calibration against master curve provided via reagent bar code.
Indications for Use
Indicated for serial measurement of CA 19-9 to aid in management of patients with confirmed exocrine pancreatic cancer who have baseline CA 19-9 levels exceeding the median concentration of an apparently healthy cohort. Contraindicated in patients genotypically negative for Lewis blood group antigen, as they cannot produce CA 19-9.
Regulatory Classification
Identification
A calibrator is a device intended for medical purposes for use in a test system to establish points of reference that are used in the determination of values in the measurement of substances in human specimens. (See also § 862.2 in this part.)
Special Controls
*Classification.* Class II (special controls). 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.
Predicate Devices
Fujirebio Diagnostics CA 19-9™ RIA (k020566)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
k050231
B. Purpose for Submission:
This is a new device.
C. Measurand:
CA 19-9
D. Type of Test:
Quantitative, automated, two step sandwich, electrochemiluminescence immunoassay
E. Applicant:
Roche Diagnostics Corp.
F. Proprietary and Established Names:
Elecsys CA 19-9 Immunoassay
Elecsys CA 19-9 CalSet
G. Regulatory Information:
1. Regulation section:
21 CFR 866.6010, Tumor-associated antigen immunological test system
21 CFR 862.1150, Calibrator
2. Classification:
Class II
3. Product Code:
NIG, System, Test, Carbohydrate antigen (CA 19-9) for monitoring and management of pancreatic cancer;
JIT, Calibrator, Secondary
4. Panel:
Immunology (82)
H. Intended Use:
1. Intended use(s):
The Elecsys CA 19-9 Immunoassay is an immunoassay for the in vitro quantitative determination of CA 19-9 tumor associated antigen in human serum and plasma. The assay is indicated for the serial measurement of CA 19-9 to aid in the management of patients diagnosed with cancers of the exocrine pancreas. The test is useful as an aid in the monitoring of disease status in those patients having confirmed pancreatic cancer who have levels of CA 19-9 at some point in their disease process exceeding the median concentration determined for the apparently healthy cohort. The electrochemiluminescence immunoassay "ECLIA" is intended for use on the
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Roche Elecsys 1010/2010 and MODULAR ANALYTICS E170 (Elecsys module) immunoassay analyzers.
The Elecsys CA 19-9 CalSet is used for calibrating the quantitative Elecsys CA 19-9 assay on the Elecsys immunoassay systems.
2. Indication(s) for use:
As an aid in the management of patients diagnosed with cancers of the exocrine pancreas and in monitoring of disease status in those patients having confirmed pancreatic cancer who have levels of CA 19-9 at some point in their disease process exceeding the median concentration determined for the apparently healthy cohort.
3. Special condition for use statement(s):
Patients must be Lewis blood group antigen positive. Patients known to be genotypically negative for Lewis blood group antigen are unable to produce the CA 19-9 antigen even in the presence of malignant tissue. Phenotyping for the presence of the Lewis blood group antigen may be insufficient to detect true Lewis antigen negative individuals. Even patients who are genotype positive for the Lewis antigen may produce varying levels of CA 19-9 as the result of gene dosage effect. The device is for prescription use only.
4. Special instrument Requirements:
Use with Roche Elecsys 1010/2010 and MODULAR ANALYTICS E170 (Elecsys module) immunoassay analyzers. These systems were 510(k) cleared under k961481.
I. Device Description:
The Elecsys CA 19-9 Immunoassay kit consists of 1 bottle each of M. streptavidin-coated microparticles, biotinylated monoclonal anti-CA 19-9 antibody (Ab) in phosphate buffer (R1) and ruthenium complex labeled monoclonal anti-CA 19-9 Ab in phosphate buffer (R2). Reagents are assembled into a ready-for-use unit. All reagents contain preservative.
The Elecsys CA 19-9 CalSet consists of two levels of human CA 19-9 (approximately 20 U/mL and 200 U/mL) in lyophilized human serum with preservative. Included with the calibrators are barcode card, barcode sheet, 4 empty labeled snap-cap bottles and 12 bottle labels. Each reagent is reconstituted with 1.0 mL of distilled water
J. Substantial Equivalence Information:
1. Predicate device name(s):
Fujirebio Diagnostics CA 19-9™ RIA
2. Predicate K number(s):
k020566
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| | Elecsys CA 19-9 | Fujirebio CA 19-9 RIA |
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| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | Quantitative analysis of CA 19-9 in human serum and plasma | Same |
| Indications for Use | As an aid in management of patients with cancers of the exocrine pancreas | Same |
| Antibody Type and Source | Monoclonal, mouse | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Methodology | Electrochemiluminescent enzyme immunoassay | Radioimmunoassay |
| Solid Phase | Streptavidin-coated microparticles | CA 19-9 antibody-coated polystyrene beads |
| Sample type | Serum and plasma (K3EDTA, lithium heparin, NH4-heparin and sodium heparin) | Serum |
| Conjugate Antibody | Biotinylated anti-CA 19-9 and ruthenium labeled anti-CA 19-9 | 125I conjugated monoclonal antibody |
| Calibrators | 2 levels (≈ 20 and 250 U/mL) | 6 levels (0-600 U/mL) |
| Controls | 2 levels (PreciControl Tumor Marker)20 and 100 U/mL | 3 levelsLow = 30 U/mLMedium = 80 U/mLHigh = 200 U/mL |
| Instrument System | Elecsys 1010, 2010 and MODULAR ANALYTICS E170 | Manual method or semi-automated with commercially available rinsing/aspiration systems |
| Measuring range | 0.60-1000 U/mL | 0.9-240 U/mL |
# K. Standard/Guidance Document Referenced (if applicable):
None referenced.
# L. Test Principle:
The Elecsys CA 19-9 Assay is a two-step sandwich immunoassay. A sample is incubated with a biotinylated monoclonal CA 19-9 antibody and a ruthenium complex labeled monoclonal CA 19-9 antibody. If CA 19-9 is present in the sample, it will bind to both antibodies to form a sandwich complex. After addition of the streptavidin-coated microparticles, the complex will bind to the microparticles as the result of interaction of biotin and streptavidine. The reaction mixture is aspirated into a measuring cell where the microparticles are magnetically captured onto the surface of the electrode. Unbound substances are removed with system buffer. Application
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of a voltage to the electrode induces chemiluminescent emission which is measured by a photomultiplier. Results are determined using a calibration curve generated by a 2 point calibration and a master curve provided with the reagent bar code.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### i. Precision/Reproducibility:
Precision was evaluated on Elecsys 2010 Immunoassay Analyzer by testing 6 replicates each of two controls (CA 19-9 concentrations of 19.2 and 60.6 U/mL) and 3 patient samples (CA 19-9 concentrations of 11.1, 46.6 and 185.4 U/mL) per day for 10 days. The following table summarized the results of the with-in run and total precision.
| Sample | Mean (U/mL) | Within-run SD (U/mL) | Within-run %CV | Total SD (U/mL) | Total %CV |
| --- | --- | --- | --- | --- | --- |
| Control 1 | 19.2 | 0.85 | 4.4 | 0.93 | 4.8 |
| Control 2 | 60.6 | 1.75 | 2.9 | 2.28 | 3.8 |
| Serum 1 | 11.1 | 0.40 | 3.6 | 0.45 | 4.1 |
| Serum 2 | 46.6 | 46.6 | 3.3 | 1.75 | 3.8 |
| Serum 3 | 185.4 | 5.31 | 2.9 | 5.42 | 2.9 |
Additional data were provided for five human serum samples with CA 19-9 concentrations of 36.81, 159.79, 307.47, 644.61 and 919.78 U/mL. These samples were tested in duplicate on four Elecsys 2010 instruments with two series per instrument. The total %CV across all instruments ranged from 1.6% to 4.4%. Lot-to-lot comparison was performed on 5 lots with 5 control samples with the following CA 19-9 concentrations: 12.6, 16.7, 20.8, 71.7 and 196 U/mL. The %CV ranged from 1.7% to 3.5%.
#### ii. Linearity/assay reportable range:
Linearity was evaluated by assaying 3 serum samples containing varying concentrations of CA 19-9 (1138.6, 866.7 and 1400.4 U/mL). Each sample was serially diluted with sample diluent to 14 dilutions, from undiluted to samples containing 0.6% serum. The observed results were compared to the expected results and the percent recovery was calculated. The percent recoveries ranged from 85.4% to 104.5%.
The assay measuring range is from 0.6 U/mL to 1000 U/mL.
#### iii. Traceability, Stability, Expected values (controls, calibrators, or methods):
There is no known reference standard for CA 19-9. The Elecsys CA 19-9 assay was standardized against the Enzymun CA 19-9 manufactured by Boehringer Mannheim Immunodiagnostics. The master calibrators and secondary calibrators are prepared using human CA 19-9 spiked into human serum matrix. Value assignment is based on the Enzymun CA 19-
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9. The CalSets are assayed and compared to these standard preparations and values are assigned. This assignment process utilizes four E170, four Elecsys 2010 and four Elecsys 1010 analyzers. Two series of analyses are performed on each instrument. Two-fold determinations are made for each series.
PreciControl Tumor Marker is the control material for the Elecsys CA 19-9. PreciControl Tumor Marker was originally cleared under k972235. A special 510(k) will be submitted for the PreciControl Tumor Marker to obtain clearance for the additional analyte. CA 19-9 analyte is a constituent of the already cleared PreciControl Tumor Marker but remains silent in the product labeling as no Elecsys CA 19-9 immunoassay is yet available in the US.
iv. Detection limit (functional sensitivity):
The lower detection limit (LDL) was determined on the Elecsys 2010 Immunoassay Analyzer by calculating the concentration of CA 19-9 that would give a response equal to the mean of the CA 19-9 Master Low calibrator plus two standard deviations (SD). Three runs of 21 replicates of the Low calibrator were performed. The results were expressed in counts and then converted to U/mL using the slope and intercept of the standard curve. The mean counts + 2SD were 1486, 1553 and 1530 which were equivalent to 0.13 U/mL, 0.28 U/mL and 0.1 U/mL. The mean LDL claim is <0.6 U/mL.
v. Analytical specificity:
Endogenous substances - Interference was determined by using natural and spiked samples and assayed on the Elecsys 2010. Interfering substances tested include hemoglobin, biotin, intralipid, bilirubin and rheumatoid factor. No significant interference was observed for bilirubin <66 mg/dL, hemoglobin <2.2 g/dL, intralipid <1500 mg/dL, biotin <100 ng/mL and rheumatoid factor ≤1500 IU/mL.
Pharmaceutical compounds - Interference was determined by spiking the following pharmaceutical compounds into natural patient samples and assayed on Elecsys 2010 Immunoassay Analyzer: acetylcystein (150 mg/L), ampicillin (1000 mg/L), ascorbic acid (300 mg/L), ca-dobesilate (200 mg/L), cyclosporine (5 mg/L), cefoxitin (2500 mg/L), levodopa (20 mg/L), methyldopa (20 mg/L), metronidazole (200 mg/L), phenylbutazone (400 mg/L), acetylsalicylic acid (1000 mg/L), rifampicin (60 mg/L), intralipid (10000 mg/L), acetaminophen (200 mg/L), ibuprofen (500 mg/L), theophyllin (100 mg/L), doxorubicin (75 mg/L). cyclophosphamid (1000 mg/L), cisplatin (225 mg/L), 5-flourouracil (500 mg/L), methothrexat (50 mg/L), tamoxifen (50 mg/L), mitomycin (25 mg/L), carboplatin (1000 mg/L), etoposid (400 mg/L), flutamid (100 mg/L) and taxol (5.5 mg/L). No interference was observed at the concentrations tested.
Human anti-mouse antibody (HAMA) - To assess interference due to HAMA, a sample with known amount of CA 19-9 (93.5 U/mL) was
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spiked into serial dilutions of a sample with known HAMA concentration (45 µg/mL) and known intrinsic concentration of CA 19-9 of 11.95 U/mL. At all dilutions, recovery of CA 19-9 was in the range of 100 to 102%. The same samples were likewise tested with reagents without the HAMA inhibiting proteins and falsely elevated results corresponding to 921.7 U/mL of CA 19-9 was obtained. Another HAMA positive sample (207 U/mL) tested also gave falsely elevated CA 19-9 concentrations of 747.8 U/mL as compared to 18.5 U/mL of the same sample with HAMA inhibiting reagents.
**Cross-reactivity** - Other tumor antigens (TM) was assessed for potential cross-reactivity by testing CA 19-9 positive serum samples that were spiked with known concentrations of TM. The samples were assayed on the Elecsys 2010 and results were summarized below.
| Unspiked serum CA 19-9 (U/mL) | TM Added | TM Concentration | Measured CA 19-9 (U/mL) | Recovery (%) |
| --- | --- | --- | --- | --- |
| 452.9 | PSA | 100 ng/mL | 448.5 | 99 |
| 452.9 | AFP | 300 ng/mL | 441.0 | 97 |
| 386.5 | CEA | 1 µg/mL | 422.3 | 109 |
| 386.5 | CA 15-3 | 100 U/mL | 415.6 | 108 |
| 386.5 | CA 125 | 1000 U/mL | 408.5 | 106 |
vi. Assay cut-off: See Expected Value.
5. Comparison studies:
i. Method comparison with predicate device:
One thousand three hundred and fifty three serum samples were tested on the Elecsys CA 19-9 assay and the Fujirebio CA 19-9 Assay. These samples were collected from male and female subjects who were either normal, with benign or malignant diseases. The CA 19-9 concentrations of the samples ranged from 0 to 174,340 U/mL using the predicate device. The assays were performed in singlicate for the new device and duplicate for the predicate device. The results were analyzed by Passing-Bablok linear regression and results are shown below. The bias observed could likely reflect differences in technology.
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# Passing-Bablok Linear Regression Analysis for Elecsys (y) versus Fujirebio (x) Data for Various CA 19-9 Populations
| Analysis | Slope (95% CI) | Intercept (95% CI) | Correlation Coefficient (Pearson r) | Number (X Range, U/mL) | md(95) |
| --- | --- | --- | --- | --- | --- |
| Apparently Healthy | 0.95 (0.90 to 1.01) | 0.80 (0.45 to 1.05) | 0.7599 | 403 (0 to 64) | 11.8 |
| Benign | 0.84 (0.79 to 0.89) | 0.97 (0.52 to 1.40) | 0.8648 | 456 (0 to 161) | 12.9 |
| Malignant <1,000 U/mL | 0.76 (0.72 to 0.871) | 2.19 (1.59 to 2.85) | 0.8432 | 449 (0 to 979) | 130 |
| Malignant <10,000 U/mL | 0.70 (0.65 to 0.74) | 2.86 (2.19 to 3.54) | 0.9182 | 477 (0 to 6,938) | 292 |
| Cumulative <1,000 U/mL | 0.84 (0.81 to 0.87) | 1.30 (0.97 to 1.57) | 0.8576 | 1308* (0 to 979) | 30.7 |
| Cumulative <10,000 U/mL | 0.81 (0.78 to 0.84) | 1.51 (1.20 to 1.78) | 0.9222 | 1336** (0 to 6,938) | 79.4 |
* 45 malignant specimens had values >1,000 U/mL
** 17 malignant specimens had values >10,000 U/mL
Results were also analyzed for samples that were within the assay range of the predicate device (0-240 U/mL). The cumulative slope was 0.88 (95% CI: 0.85, 0.91) and intercept was 1.00 (95% CI: 0.74, 1.32). The slope and intercept for the malignant samples <240 U/mL were 0.87 (95% CI: 0.81, 0.93) and 1.44 (95% CI: 0.82, 2.04) respectively.
## ii. Matrix comparison:
Plasma samples collected in lithium heparin, sodium heparin, NH₄ heparin and K3 EDTA were compared to matched-serum samples and analyzed using the Elecsys CA 19-9 assay. All samples had CA 19-9 concentrations < 31 U/mL. The number of paired samples tested varied with the anti-coagulant. Results were analyzed by Least Squares and Passing-Bablok regression analyses and are summarized below.
| | Sodium & Lithium Heparin | | NH₄ Heparin | | EDTA (Study 1 & 2*) | |
| --- | --- | --- | --- | --- | --- | --- |
| | Passing Bablock | Least Squares | Passing Bablock | Least Squares | Passing Bablock | Least Squares |
| N | 20 | | 14 | | 20 (14) | |
| Range | 2.5-30.3 | | 5.5-20.8 | | 2.64-30.0 (5.5-20.8) | |
| Slope | 0.98 | 0.98 | 0.98 | 0.96 | 0.94 (0.94) | 0.94 (0.93) |
| Y-Intercept | 0.22 | 0.14 | 0.24 | 0.48 | -0.2 (0.11) | -0.2 (0.21) |
| r | 1.00 | 1.00 | 0.912 | 0.997 | 0.98 (0.956) | 1.0 (0.994) |
| SEE | 0.30 | 0.30 | 0.22 | 0.27 | 0.17 (0.28) | 0.23 (0.33) |
*EDTA Study 2 in ()
Additional study was performed with 20 paired serum and plasma samples for each anticoagulant with CA 19-9 concentration ranged from 23.8 U/mL to 934.5 U/mL. Results are tabulated below:
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| Passing Bablock | Sodium Heparin | Lithium Heparin | NH4 Heparin | EDTA |
| --- | --- | --- | --- | --- |
| Slope (95% CI) | 1.00 (0.99-1.02) | 1.00 (0.98-1.02) | 0.99 (0.96-1.03) | 0.99 (0.97-1.01) |
| Y-Intercept (95% CI) | -2.86 (-7.31-5.47) | -1.68 (-5.37-5.15) | -0.30 (-7.04-12.14) | 2.85 (-2.47-10.60) |
| r | 0.99 | 0.99 | 0.99 | 0.99 |
# 3. Clinical studies:
a. Clinical sensitivity: Not applicable.
b. Clinical specificity: Not applicable.
c. Other clinical supportive data (when a. and b. are not applicable): Serial Monitoring Analysis
Three hundred ninety-one serum samples from 95 patients with confirmed pancreatic cancer were prospectively collected and banked at two US clinical sites. Samples from six patients were excluded from the statistical analysis. Four patients (#003, #007, #014 and #026) were excluded because all samples had zero CA 19-9 results on the predicate and test device. These subjects were considered Lewis blood group non-secretors. Two patients (#004 and #048) were excluded because they did not meet the inclusion criteria. Patient #004 had primary duodenal cancer with pancreatic involvement and Patient #048 was diagnosed with prostate cancer in addition to the primary pancreatic cancer during the study. Of the remaining 89 patients, 74 were Caucasians, 2 African Americans, 9 Hispanics, 1 Asian and 3 others. The mean and median age of the cohort was 62.4y (ranged from 36y to 83.3y) and 63y respectively. The female subjects had a mean age of 64.6y (36y to 83.3y) and median age of 67.5y whereas the mean age of the male subjects was 60.4y (43.8y to 78.4y) and median age 60.5y.
There were 363 samples with an average number of 4.08 observations per patient (ranged from 1 to 13 sample pairs). The breakdown of the patient series is summarized below.
| # Samples in Series | #Observation Pairs | Frequency | % |
| --- | --- | --- | --- |
| 2 | 1 | 14 | 15.7 |
| 3 | 2 | 27 | 30.3 |
| 4 | 3 | 17 | 19.1 |
| 5 | 4 | 19 | 21.3 |
| 6 | 5 | 5 | 5.6 |
| 7 | 6 | 2 | 2.2 |
| 8 | 7 | 3 | 3.4 |
| 10 | 9 | 1 | 1.1 |
| 13 | 12 | 1 | 1.1 |
At the time of diagnosis, 87 of the 89 patients had stage information: $14.9\%$ were Stage I, $26.4\%$ Stage II, $24.1\%$ Stage III and $34.5\%$ stage IV. Metastases were detected in $23.1\%$ of Stage I patients, $47.8\%$ Stage II, $57.1\%$ Stage III and $80\%$ Stage IV. The average $(\pm \mathrm{SD})$ length of time in the study was $250(\pm 338.8)$ days ranging from 14 days to 2013 days.
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Changes in CA 19-9 concentrations and changes in disease state were analyzed on a per-visit basis. A significant change in CA 19-9 was defined as greater than 15% for both new and predicate devices. The following tables show the association between CA 19-9 concentrations and disease status for the 274 evaluable observation pairs. Concordance results for test and predicate devices are given in tables below. The data in the tables represent "panel" data. Since each subject brings a unique set of visit pairs, the Genmod Procedure of SAS was used to obtain estimates of concordance.
| Elecsys | Change in Disease State | | |
| --- | --- | --- | --- |
| Changes in CA 19-9 | Progression | No Progression | Total |
| Increase >15% | 54 | 65 | 119 |
| No Significant Increase | 33 | 122 | 155 |
| Total | 87 | 187 | 274 |
Positive concordance = 0.621 (54/87) (95% CI: 0.493, 0.733)
Negative concordance = 0.652 (122/187) (95% CI: 0.588, 0.711)
Total concordance = 0.642 (176/274) (95% CI: 0.584, 0.696)
| Predicate | Change in Disease State | | |
| --- | --- | --- | --- |
| Changes in CA 19-9 | Progression | No Progression | Total |
| Increase >15% | 51 | 63 | 114 |
| No Significant Increase | 36 | 124 | 160 |
| Total | 87 | 187 | 274 |
Positive concordance = 0.586 (51/87) (95% CI: 0.478, 0.686)
Negative concordance = 0.663 (124/187) (95% CI: 0.601, 0.719)
Total concordance = 0.639 (175/274) (95% CI: 0.586, 0.688)
The 3x3 tables below depict the distribution of clinical change by marker change for the test device and the predicate device.
| | Clinical Status | | | |
| --- | --- | --- | --- | --- |
| Elecsys | Response | No Change | Progression | Total |
| <-15% | 21 (7.7%) | 40 (14.6%) | 20 (7.3%) | 81 (29.6%) |
| -15% to 15% | 15 (5.5%) | 46 (16.8%) | 13 (4.7%) | 74 (27.0%) |
| >15% | 14 (5.1%) | 51 (18.6%) | 54 (19.7%) | 119 (43.4%) |
| Total | 50 | 137 | 87 | 274 |
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| | Clinical Status | | | |
| --- | --- | --- | --- | --- |
| Predicate | Response | No Change | Progression | Total |
| < -15% | 29
(10.6%) | 41
(15.0%) | 20
(7.3%) | 90
(32.8%) |
| -15% to 15% | 9
(3.3%) | 45
(16.4%) | 16
(5.8%) | 70
(25.6%) |
| >15% | 12
(4.4%) | 51
(18.6%) | 51
(18.6%) | 114
(41.6%) |
| Total | 50 | 137 | 87 | 274 |
Serial monitoring results were also analyzed on a per-patient basis as shown below. Concordances and exact Binomial 95% CI were determined.
| Elecsys | Change in Disease State | | |
| --- | --- | --- | --- |
| Changes in CA 19-9 | Progression | No Progression | Total |
| Increase >15% | 41 | 29 | 70 |
| No Significant Increase | 6 | 13 | 19 |
| Total | 47 | 42 | 89 |
Positive concordance = 0.872 (41/47) (95% CI: 0.768, 0.938)
Negative concordance = 0.309 (13/42) (95% CI: 0.195, 0.445)
Total concordance = 0.607 (54/89) (95% CI: 0.498, 0.709)
| Predicate | Change in Disease State | | |
| --- | --- | --- | --- |
| Changes in CA 19-9 | Progression | No Progression | Total |
| Increase >15% | 41 | 29 | 70 |
| No Significant Increase | 6 | 13 | 19 |
| Total | 47 | 42 | 89 |
Positive concordance = 0.872 (41/47) (95% CI: 0.768, 0.938)
Negative concordance = 0.309 (13/42) (95% CI: 0.195, 0.445)
Total concordance = 0.607 (54/89) (95% CI: 0.498, 0.709)
4. Clinical cut-off:
Not applicable.
5. Expected values/Reference range:
The normal reference range was established by testing serum samples from 403 apparently healthy subjects (200 females and 203 males) collected during routine physician visits from 11 centers. The cohort consisted of 366 Caucasians, 18 African Americans, 16 Hispanics, 2 Asians and 1 Native American. The mean and median age of the cohort was 56.2y (ranged from 40y to 88y) and 54.7y respectively. The female subjects had a mean age of 56y (40y to 88y) and median age of 54.3y whereas the mean age of the male subjects was 56.5y (40y to 88y) and median age 55y. The mean ages between the genders were not statistically different. Overall mean specimen age was 2.23y (ranged from 1.5 to 3.58y) with a median value of 1.91y. Of the 403 specimens, 96 were 3 to 3.58y old. The table below shows the CA 19-9 results analyzed by gender.
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Confidence intervals for the $5^{\text{th}}$ , $90^{\text{th}}$ and $95^{\text{th}}$ order statistics were constructed using a resampling technique in validated SAS-Macros (Version 8.2). Approximate $95\%$ confidence intervals (CI) were developed by identification of the value of CA 19-9 at the $2.5^{\text{th}}$ and $97.5^{\text{th}}$ percentiles of the sampling distribution. An estimate for the upper limit of normal (ULN) based on the $97.5\%$ quantile is $35.07~\mathrm{U / mL}$ with a $95\%$ CI of $30.56 - 42.05~\mathrm{U / mL}$ . Results were comparable to that of the predicate device ( $36.18~\mathrm{U / mL}$ , $95\%$ CI $34.11 - 41.17~\mathrm{U / mL}$ ). The following histogram shows the distribution of CA 19-9 in the normal cohort.

In addition to the normal cohort, 456 serum samples from patients with benign conditions (192 females and 264 males) and 456 from patients (232 females and 262 males) with malignant diseases were tested. The benign disease samples were collected from 22 centers and selection was based on presenting symptoms, previous test results or diagnosis. The benign cohort consisted of 399 Caucasians, 48 African Americans, 8 Hispanics and 1 Asians. The overall mean age and median age were 62y (ranged from 40y to 92y) and 63y respectively. The female subjects had a mean age of 61.4y (40y to 88y) and median age of 62y and the mean age of the male subjects was 62.4y (40y to 92y) and median age 63y. Overall mean specimen age was 3.09y (ranged from 1.58 to 5.75y) with a median value of 3.17y. Of the 456 specimens, 383 were older than 3y
The specimens from malignant subjects were from 3 collection sites. The malignant cohort consisted of 383 Caucasians, 33 African Americans, 54 Hispanics, 23 Asians and 1 other. The overall mean age and median age were 60y (ranged from 24y to 86y) and 61y respectively. The female subjects had a mean age of 60 y (24y to 86y) and median age of 61y and the mean age of the male subjects was 61y (25y to 86y) and median age 60y. Overall mean
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specimen age for the malignant group was 5.81y (ranged from 0.08 to 9.58y) with a median value of 6.5y. The Elecsys CA 19-9 results concentrations for the cohorts are summarized below.
| Cohorts | #Subjects | Elecsys CA 19-9 concentration U/mL | | | |
| --- | --- | --- | --- | --- | --- |
| | | Mean ± SD | Median | Range | % > 35 |
| Benign Disease | | | | | |
| Heart Disease | 98 | 11.6 ± 9.22 | 8.7 | 0.0-41.1 | 4.1 |
| Pancreatic | 100 | 18.8 ± 12.7 | 16.0 | 0.0-57.5 | 15.0 |
| Gastrointestinal | 145 | 15.4 ± 16.3 | 9.6 | 0.0-125.8 | 9.0 |
| Genitourinary | 113 | 17.1 ± 13.56 | 13.8 | 0.0-81.6 | 8.9 |
| Total | 456 | 15.7 ± 13.74 | 11.8 | 0.0-125.8 | 9.2 |
| Malignant Disease | | | | | |
| Breast/Ovarian/Cervical | 70 | 30.3 ± 69.28 | 14.2 | 1.92-569.2 | 15.71 |
| Colorectal | 228 | 370.2 ± 1,897.77 | 23.6 | 0.0-23,790 | 40.35 |
| Esophageal/Gastric | 29 | 19.9 ± 45.12 | 9.0 | 1.8-248.0 | 6.89 |
| Gall bladder/Biliary | 30 | 1,441 ± | 210.9 | 0.75-13,830 | 63.33 |
| Liver | 54 | 96.5 ± 260.91 | 33.6 | 0.0-1,853 | 46.29 |
| Lung | 46 | 34.9 ± 55.17 | 16.3 | 1.26-335.4 | 26.09 |
| Pancreatic | 37 | 5,611 ± 16,584 | 196.2 | 1.17-80,780 | 75.67 |
The table below shows the bootstrapped 95% CI for the 95th order statistics for the benign and malignant disease groups of the predicate and test device. Bootstrap samples were obtained by resampling (with replacement) values of the devices by subject. Results indicate that at the 95th order statistics, there is no difference between the predicate and test device.
| Cohorts | Predicate | | Elecsys | |
| --- | --- | --- | --- | --- |
| | CA 19-9 | 95% CI (U/mL) | CA 19-9 (U/mL) | 95% CI (U/mL) |
| Benign Disease | | | | |
| Heart Disease | 34.17 | 22.69-38.37 | 32.76 | 24.58-55.82 |
| Pancreatic | 64.48 | 43.96-74.69 | 41.65 | 36.17-52.08 |
| Gastrointestinal | 47.82 | 31.83-61.91 | 46.65 | 31.81-59.79 |
| Genitourinary | 43.20 | 34.47-55.78 | 41.84 | 33.00-59.91 |
| Total | 50.82 | 41.17-59.66 | 40.15 | 36.23-48.28 |
| Malignant Disease | | | | |
| Breast/Ovarian/Cervical | 99.6 | 61.0-302.8 | 81.9 | 42.3-107.1 |
| Colorectal | 1,972 | 1,006-10,757 | 1,185 | 480-2,820 |
| Esophageal/Gastric | 26.6 | 17.2-786.6 | 38.6 | 20.7-248.5 |
| Gall bladder/Biliary | 23,242 | 4,817-43,795 | 8,716 | 1,753-13,830 |
| Liver | 151.6 | 68.5-674.1 | 297.9 | 117.4-978.1 |
| Lung | 152.1 | 66.4-524.3 | 11.7 | 55.0-291.0 |
| Pancreatic | 56,604 | 18,989-174,340 | 28,132 | 7,146-80,780 |
The following table summarizes the distribution of subjects according to Elecsys CA 19-9 concentrations. Results showed all cancer groups had higher mean CA 19-9 values than the benign disease cohorts. The pancreatic cancer and the gall bladder/biliary cancer groups had the highest mean values.
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Distribution of subjects according to the predicate CA 19-9 results is shown below.
| Cohorts | #Subjects | Predicate CA 19-9 Concentrations (U/mL) | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | 0-35 | 35.1-70 | 70.1-200 | 201-2000 | 2001-20000 | >20000 |
| Apparently Healthy | 403 | 392(97.3%)* | 10(2.5%) | 1 (0.2%) | | | |
| Benign Conditions | | | | | | | |
| Genitourinary | 113 | 103(91.2%) | 9 (8%) | 1 (0.9%) | | | |
| Gastrointestinal | 145 | 132(91.0%) | 12(8.3%) | 1 (0.7%) | | | |
| Cardiac | 98 | 94(95.9%) | 4 (4.1%) | | | | |
| Pancreatic | 100 | 85 (85%) | 15(15%) | | | | |
| Malignant Conditions | | | | | | | |
| Breast/Ovarian/Cervical | 70 | 58(82.9%) | 7 (10%) | 4 (5.7%) | 1 (1.4%) | | |
| Colorectal | 228 | 133(58.3%) | 27(11.8%) | 27(11.8%) | 34(14.9%) | 6 (2.6%) | 1(0.4%) |
| Esophageal/Gastric | 29 | 26(89.7%) | 2 (6.9%) | | 1 (3.4%) | | |
| Gall bladder/Biliary | 30 | 11(36.7%) | | 1 (3.3%) | 14(46.7%) | 4 (13.3%) | |
| Liver | 54 | 28(51.9%) | 12(22.2%) | 10(18.5%) | 4 (7.4%) | | |
| Lung | 46 | 34(73.9%) | 7(15.2%) | 4 (8.7%) | 1 (2.2%) | | |
| Pancreatic | 37 | 9(24.3%) | 4(10.8%) | 6(16.2%) | 10 (27%) | 6 (16.2%) | 2(5.4%) |
*Percentage of population
| Cohorts | #Subjects | Predicate CA 19-9 Concentrations (U/mL) | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | 0-37 | 37.1-70 | 70.1-200 | 201-2000 | 2001-20000 | >20000 |
| Apparently Healthy | 403 | 387(96%)* | 16 (4%) | | | | |
| Benign Conditions | | | | | | | |
| Genitourinary | 113 | 103(91.2%) | 9 (8%) | 1 (0.9%) | | | |
| Gastrointestinal | 145 | 132(91.0%) | 10(6.9%) | 3 (2.1%) | | | |
| Cardiac | 98 | 93(94.9%) | 4 (4.1%) | 1 (1%) | | | |
| Pancreatic | 100 | 81(81%) | 14(14%) | 5 (5%) | | | |
| Malignant Conditions | | | | | | | |
| Breast/Ovarian/Cervical | 70 | 48(68.6%) | 14(20%) | 6 (8.6%) | 2 (2.9%) | | |
| Colorectal | 228 | 129(56.6%) | 20(8.8%) | 35(15.4%) | 33(14.5%) | 9 (3.9%) | 2(0.9%) |
| Esophageal/Gastric | 29 | 28(96.6%) | | | 1 (3.4%) | | |
| Gall bladder/Biliary | 30 | 8(26.7%) | 2 (6.7%) | 2 (6.7%) | 9 (30%) | 9 (23.3%) | 2(6.7%) |
| Liver | 54 | 39(72.2%) | 8(14.8%) | 5 (9.3%) | 2 (3.7%) | | |
| Lung | 46 | 32(69.6%) | 8(17.4%) | 4 (8.7%) | 2 (4.3%) | | |
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| Cohorts | #Subjects | Predicate CA 19-9 Concentrations (U/mL) | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | 0-37 | 37.1-70 | 70.1-200 | 201-2000 | 2001-20000 | >20000 |
| Pancreatic | 37 | 11 (29.7%) | 2 (5.4%) | 5 (13.5%) | 8 (21.6%) | 5 (13.5%) | 6 (16.2%) |
**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.