WAKO LBA DCP TEST SYSTEM, MODEL 993-05301; DCP CONTROL SET, MODEL 995-0551; DCP CALIBRATOR SET, LIBASYS, MODEL 999-05401
K062368 · Wako Chemicals USA, Inc. · OAU · Jan 31, 2007 · Immunology
Device Facts
Record ID
K062368
Device Name
WAKO LBA DCP TEST SYSTEM, MODEL 993-05301; DCP CONTROL SET, MODEL 995-0551; DCP CALIBRATOR SET, LIBASYS, MODEL 999-05401
Applicant
Wako Chemicals USA, Inc.
Product Code
OAU · Immunology
Decision Date
Jan 31, 2007
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 866.6030
Device Class
Class 2
Indications for Use
The Wako LBA DCP immunological test system is an in vitro device that consists of reagents and an automated instrument used to quantitatively measure by immunochemical techniques DCP in human serum. The device is intended for in vitro diagnostic use as an aid in the risk assessment of patients with chronic liver disease for progression to hepatocellular carcinoma in conjunction with other laboratory findings, imaging studies and clinical assessment. The DCP Calibrator Set is designed to be used with the Wako LBA DCP reagent for the quantitative determination of DCP in serum. The DCP Control Set is designed to be used as a quality control material for the quantitative determination of DCP using the Wako LBA DCP reagent.
Device Story
Wako LBA DCP is an in vitro diagnostic system for quantitative measurement of Des-y-carboxy-Prothrombin (DCP) in human serum. System utilizes Liquid-phase Binding Assay (LBA) technology on the LiBASys automated analyzer. Input: human serum sample; reagents include anti-DCP monoclonal antibodies and anti-Prothrombin monoclonal antibodies (Fab' molecules) conjugated with peroxidase. Process: liquid-phase binding reaction forms immune complexes; anion-exchange column chromatography separates bound/free forms; peroxidase activity measured via fluorophotometry (reaction of hydrogen peroxide and 4-acetoamidophenol). Output: DCP concentration values compared against known standards. Used in clinical laboratory settings by trained personnel. Results aid clinicians in HCC risk assessment for patients with chronic liver disease, complementing other laboratory findings and imaging. Benefits include identification of patients at risk for HCC, facilitating earlier treatment options.
Clinical Evidence
Clinical study of 441 subjects (chronic hepatitis B/C, cirrhosis) monitored for up to 4 years. Primary endpoint: development of HCC. Sensitivity 44.4%, specificity 88.9% at 7.5 ng/mL cut-off. Relative risk of HCC for DCP positive patients was 4.8 (95% CI: 2.8, 8.4). Logistic regression showed adjusted odds ratio of 5.6 (95% CI: 2.6, 11.8). Analytical performance: total precision CV 2.6-10%; linearity 0-500 ng/mL; LoD 0.14 ng/mL.
Indicated for use as an aid in the risk assessment of patients with chronic liver disease for progression to hepatocellular carcinoma (HCC) in conjunction with other laboratory findings, imaging studies, and clinical assessment. Prescription use only.
Regulatory Classification
Identification
An AFP-L3% immunological test system is an in vitro device that consists of reagents and an automated instrument used to quantitatively measure, by immunochemical techniques, AFP and AFP-L3 subfraction in human serum. The device is intended for in vitro diagnostic use as an aid in the risk assessment of patients with chronic liver disease for development of hepatocellular carcinoma, in conjunction with other laboratory findings, imaging studies, and clinical assessment.
Special Controls
*Classification.* Class II (special controls). The special control is FDA's guidance document entitled “Class II Special Controls Guidance Document: AFP-L3% Immunological Test Systems.” See § 866.1(e) for the availability of this guidance document.
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
k062368
B. Purpose for Submission:
New device
C. Measurand:
Des-γ-carboxy-Prothrombin (DCP)
D. Type of Test:
Quantitative, fluorescence enzyme immunoassay
E. Applicant:
Wako Chemicals USA Inc.
F. Proprietary and Established Names:
Wako LBA® DCP
Wako DCP Calibrator Set
Wako DCP Control Set
G. Regulatory Information:
| Product Code | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| OAU | Class II | 21 CFR 866.6030 – AFP-L3%
Immunological Test System | IM 82 |
| JIT, Calibrator, Secondary | Class II | 21 CFR§862.1150, Calibrator | CH |
| JJX, Single (specified)
analyte controls (assayed
and unassayed) | Class I | 21 CFR§862.1660, Quality
control material (assayed and
unassayed) | CH |
H. Intended Use:
1. Intended use(s):
The Wako LBA DCP immunological test system is an in vitro device that consists of reagents and an automated instrument used to quantitatively measure by immunochemical techniques DCP in human serum. The device is intended for in vitro diagnostic use as an aid in the risk assessment of patients with chronic liver disease for progression to hepatocellular carcinoma in conjunction with other laboratory findings, imaging studies and clinical assessment.
The DCP Calibrator Set is designed to be used with the Wako LBA DCP reagent for the quantitative determination of DCP in serum.
The DCP Control Set is designed to be used as a quality control material for the quantitative determination of DCP using the Wako LBA DCP reagent.
2. Indication(s) for use:
Same as Intended use
3. Special conditions for use statement(s):
Prescription use only
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4. Special instrument requirements:
The automated analyzer, Wako LiBASys (k041847).
I. Device Description:
The Wako LBA DCP device consists of horseradish peroxidase (POD) labeled mouse anti-DCP monoclonal antibody (mAb) and anion (sulfated tyrosine [pentamer]) - conjugated mouse anti-Prothrombin mAb, substrate 1 (4 acetamidophenol in 2-propanol) and substrate 2 (hydrogen peroxide) and a column. The mAbs and the column are ready-to-use. Substrate 1 and 2 have to be mixed together prior to use.
Both calibrators and controls are not included with the LBA DCP device. The calibrator set consists of a blank solution and a single level of DCP in phosphate buffer. The control set has two levels of DCP in phosphate buffer and are ready-to-use.
Other materials required but not supplied with kit are Elution Buffer A, B and C, wash solution, sample cup, inside and outside cuvette.
J. Substantial Equivalence Information:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| | Wako LBA DCP | Wako LBA AFP-L3% (k041847) |
| Indications for Use | Aid in the risk assessment of patients with chronic liver disease for progression to hepatocellular carcinoma in conjunction with other laboratory findings, imaging studies and clinical assessment. | Aid in the risk assessment for the development of hepatocellular carcinoma (HCC) in patients with chronic liver diseases (CLD). |
| Test principle | Fluorescence liquid base binding enzyme immunoassay | Same |
| Instrument | LiBASys | Same |
| Sample Matrix | Serum | Same |
| Substrate | 4 acetamidophenol in 2-propanol and H2O2 | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | Quantitative determination of DCP in human serum | Quantitative determination of AFP and AFP-L3 in serum |
| Analyte | Des-γ-carboxy-Prothrombin | AFP-L3 and AFP |
| Capture reagents | POD labeled mouse anti- | Lens culinaris agglutinin |
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| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| | DCP mAb
Anion (sulfated tyrosine [pentamer]) - conjugated mouse anti-Prothrombin mAb | Anion 1 (sulfated tyrosine [pentamer]) conjugated mouse anti-AFP mAb, POD labeled mouse anti-AFP mAb, Anion 2 (sulfated tyrosine [octamer]) conjugated mouse anti-AFP mAb |
| Reference standard | None | WHO AFP Standard |
| Calibrators | DCP Calibrator Set (blank and 1 level) | AFP-L3 Calibrator Set (AFP-L1 and AFP-L3) |
| Controls | DCP Control Set (2 levels) | AFP-L3 Control Set (AFP-L1 and AFP-L3) |
| Measuring range | 1-500 ng/mL | 0.8-1000 ng/mL |
| Detection limit | 0.14 ng/mL | 0.26 ng/mL |
| Total precision (%CV) | 2.6%-10% | AFP – 3.9%-5.7%
AFP-L3 – 5.9%-9.6% |
K. Standard/Guidance Document Referenced (if applicable):
| STANDARDS |
| --- |
| Title and Reference Number |
| Estimation of Total Analytical Error:, Approved Guideline (EP21-A) |
| Evaluation of Precision Performance of Clinical Chemistry Devices; Approved Guideline (EP5-A) |
| Evaluation of the Linearity of Quantitative Measurement Procedures; Approved Guideline (EP6-A) |
| Interference Testing; Approved Guideline (EP7-A) |
| Method Comparison; Approved Guideline (EP9-A) |
| Guidance |
| Class II Special Controls Guidance Document: AFP-L3% Immunological Test System |
L. Test Principle:
The Wako LBA DCP assay uses a liquid-phase binding method. DCP in the sample reacts with the anion-conjugated anti-Prothrombin mAb (Fab') and the POD-labeled anti-DCP mAb (Fab') to form an immune complex. The reaction mixture is introduced into an anion-exchange column. The immune complex fractions are eluted into a reaction cup. The HRP activity is measured and is determined as the increase of fluorescence intensity of 5,5'-diacetoamide-2-2'-bisphenol formed by the reaction of $\mathrm{H}_2\mathrm{O}_2$ and the substrate, 4-acetoamidophenol.
M. Performance Characteristics (if/when applicable):
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1. Analytical performance:
a. Precision/Reproducibility:
Precision was evaluated according to CLSI EP5-A. Different concentrations of DCP were spiked into 10 aliquots of normal pooled serum. The DCP concentrations ranged from 1.0 to 481.8 ng/mL. These samples were assayed 21 times for the within-run precision study. The %CV was from 1.1% to 6.0%. The %CV for samples around the cut-off (i.e. 5.8-8.6 ng/mL) ranged from 2.4 to 3.0% (see results below).
| Sample | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Mean DCP (ng/mL) | 1.0 | 2.4 | 5.8 | 7.3 | 8.6 | 57.4 | 103.1 | 185.3 | 288.8 | 481.8 |
| SD (ng/mL) | 0.06 | 0.08 | 0.14 | 0.22 | 0.23 | 0.61 | 2.39 | 3.95 | 5.85 | 10.07 |
| CV (%) | 6.0 | 3.3 | 2.4 | 3.0 | 2.7 | 1.1 | 2.3 | 2.1 | 2.0 | 2.1 |
For total precision, the samples used in the within-run precision study were also tested in duplicate, two runs per day over 21 days. The %CV over the 10 different samples ranged from 2.6% to 10% with a mean of 4.6%. Results are summarized below.
| Sample | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Total Mean DCP (ng/mL) | 1.0 | 2.4 | 5.9 | 7.0 | 8.2 | 56.3 | 104.1 | 190.6 | 293.1 | 453.2 |
| Within-run SD (ng/mL) | 0.03 | 0.05 | 0.16 | 0.17 | 0.17 | 0.40 | 1.42 | 3.34 | 5.13 | 10.73 |
| Within-run CV (%) | 3.0 | 2.1 | 2.7 | 2.4 | 2.1 | 0.7 | 1.4 | 1.8 | 1.8 | 2.4 |
| Day-to-day SD (ng/mL) | 0.06 | 0.07 | 0.06 | 0.13 | 0.22 | 0.34 | 3.05 | 4.58 | 2.10 | 7.01 |
| Day-to-day CV (%) | 6.0 | 2.9 | 1.0 | 1.9 | 2.7 | 0.6 | 2.9 | 2.4 | 0.7 | 1.5 |
| Run-to-run SD (ng/mL) | 0.08 | 0.09 | 0.19 | 0.19 | 0.18 | 1.36 | 2.98 | 4.64 | 8.32 | 11.30 |
| Run-to-run CV (%) | 8.0 | 3.8 | 3.2 | 2.7 | 2.2 | 2.4 | 2.9 | 2.4 | 2.8 | 2.5 |
| Total precision SD (ng/mL) | 0.10 | 0.12 | 0.26 | 0.29 | 0.33 | 1.46 | 4.49 | 7.33 | 10.00 | 17.09 |
| Total precision CV (%) | 10.0 | 5.0 | 4.4 | 4.1 | 4.0 | 2.6 | 4.3 | 3.8 | 3.4 | 3.8 |
Accuracy
For this study, different concentrations of DCP were spiked into aliquots of 5 serum pools with known endogenous DCP concentrations. For aliquots derived from serum pools 1 to 3, the spiked-in DCP concentrations were 4.5, 9.4, 19.5, 28.8 and 48.5 ng/mL. The % recovery for this group of samples ranged from 93.3% to 111.1%. For aliquots derived from serum pools 4 and 5, the spiked-in DCP concentrations were 83.1, 193.2 and 346.3 ng/mL. The % recovery for these samples ranged from 93.1% to 106.2%.
b. Linearity/assay reportable range:
The assay reportable range is 0 ng/mL to 500 ng/mL. For the linearity study, four samples were prepared by adding measured amounts of DCP to pooled normal serum. The DCP concentrations were 7.0, 39.3, 207.2 and 970.5 ng/mL. Five serially diluted samples were generated from each of the 4 spiked samples. The middle concentration preparation of each dilution series was selected as the concentration value of the preparation and % recovery of the other samples calculated against this value. The following table summarizes the results.
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| Sample | DCP (ng/mL) | Linearity | Correlation Coefficient (r²) |
| --- | --- | --- | --- |
| 1 | 7.0 | y = 1.0286x - 0.0667 | 0.9993 |
| 2 | 39.3 | y = 1.0065x - 0.0948 | 0.9998 |
| 3 | 207.2 | y = 0.9807x + 1.7331 | 0.9999 |
| 4 | 582.3 | y = 1.0102x + 5.0 | 0.9978 |
| | 970.5 | y = 0.8939x + 30.933 | 0.9919 |
## High dose hook effect
A pooled normal serum was spiked with purified DCP to achieve a concentration of 19,000 ng/mL. This sample was sequentially diluted and each dilution was assayed in triplicate. No high dose hook effect was observed.
c. Traceability, Stability, Expected values (controls, calibrators, or methods): There is no reference standard for DCP. The Wako 1st DCP standard was prepared by in-house purification and its protein concentration was determined by the BCA (bicinchoninic acid) method. For each lot of new calibrator, values are assigned using the Wako 1st DCP standard. For new lots of controls, the assigned values are determined by measuring the control with Wako LBA DCP and DCP calibrators with DCP values traceable to the standard.
## Stability claims
Assay kit – 12 months at 2-10°C
Calibrator Set – 6 months at 2-10°C
Control Set – 2-10°C
After reconstitution:
Substrate solution – 2 weeks at 2-10°C
Open-vial stability:
Antibody – 10 operation days at 2-15°C
Substrate solution – 10 operation days at 2-15°C
*operation days means that open reagent vials were set on the instrument for 8 hours and re-capped vials were stored in a refrigerator (2-10°C) for 16 hours.
## Sample stability
The sponsor provided a table for recovery of 10 samples with DCP concentration ranged from 0.3 ng/mL to 13.7 ng/mL that were stored for 4 years at -80°C by comparing DCP concentration at 0 year. The percent recovery ranged from 89% to 111%.
## Freeze-thaw effects
Ten samples with DCP concentration ranging from 2.0 ng/mL to 119 ng/mL
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were subjected to 5 freeze-thaw cycles and percent recovery was determined after each cycle. Results showed % recovery ranged from 85% to 104% after 5 cycles.
d. Detection limit/analytical sensitivity:
The detection limit was determined by measuring an analyte-free sample 21 times and estimated from the mean and two standard deviations (SD) of the replicates. The mean value was 0.04 ng/mL (ranged from 0 to 0.1 ng/mL) with a SD of 0.05 ng/mL. The detection limit claimed is 0.14 ng/mL.
Functional sensitivity
The study was performed according to CLSI Guideline EP17-A. For limit of blank (L0B), serum samples from 4 healthy subjects were used. For each sample, 15 replicates were measured. Since the distribution was not Gaussian, LoB was determined by calculating the 95th percentile of the distribution using the equation $$\mathrm{LoB} = \mathrm{Pct}_{\mathrm{B}100 - \alpha}$$.
For limit of detection (LoD), 4 samples were prepared from serum from a healthy subject by spiking with DCP to a concentration approximately 4 x LoB. For each of these samples, 15 replicates were measured. LoB and LoD were determined to be 0.1 ng/mL and 0.24 ng/mL respectively.
e. Analytical specificity:
For the interference study, maximum concentration of each interferents was then spiked into an aliquot of a DCP-spiked pooled normal serum (Serum A) to generate Serum B. For each interferent, Serum A and Serum B were mixed in various proportions to prepare 4 or 5 samples with a constant DCP concentration but different interferent concentrations. Results of % recovery ranged from 91% to 103% which met the acceptance criterion of 85-115%. The following table listed the interferents and their concentrations tested.
| Interferents | Concentration | Interferents | Concentration |
| --- | --- | --- | --- |
| Hemoglobin | 0-200 mg/dL | Vitamin B1 | 0-14 mg/mL |
| Free bilirubin | 0-40 mg/dL | Vitamin B6 | 0-25 mg/mL |
| Conjugated bilirubin | 0-20 mg/dL | Vitamin B12 | 0-50 mg/mL |
| Ascorbate | 0-50 mg/dL | IFN α | 0-3000 U/mL |
| Galactose | 0-200 mg/dL | IFN β | 0-3000 U/mL |
| Glucose | 0-1000 mg/dL | IFN γ | 0-3000 JRU/mL |
| Intrafat | 0-2% | Ibuprofen | 0-40 mg/dL |
| Rheumatoid factor | 0-550 IU/mL | Acetylsalicylic acid | 0-50 mg/dL |
| Acetaminophen | 0-20 mg/dL | | |
HAMA
Two HAMA positive samples (Type 1 and Type 2) were used in this study. The HAMA samples were reconstituted in DCP Blank solution. The endogenous DCP concentration for Type 1 and Type 2 HAMA samples were 0.1 ng/mL and 68.5 ng/mL. Four different concentrations of DCP (0.8, 1.6, 9.1, 37.2 ng/mL) were spiked into aliquots of each HAMA sample. The %
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recovery for the Type 1 sample ranged from 93.8% to 100% and for the Type 2, 87.5% to 109.1%.
## Cross-reactivity
Serum samples from 157 patients with other GI and non-GI cancers were tested. Of the 68 patients with non-HCC GI cancers (gastric, rectal, renal cellular), 4 had elevated DCP results. Of the remaining 89 non-GI cancer patients, only one patient with prostate cancer and one with breast cancer had elevated DCP results. There was a case report of a lung cancer patient with positive DCP result.
f. Assay cut-off:
The assay cut-off is 7.5 ng/mL. The cut-off was established using 54 newly diagnosed HCC patients and 440 patients with either liver cirrhosis or chronic hepatitis. ROC analysis was performed to identify a cut-off value that would best distinguish HCC from no HCC with a specificity of about 90%. For the selected cut-off value of 7.5 ng/mL, the sensitivity was 44.4% and specificity 88.9%.
2. Comparison studies:
a. Method comparison with predicate device:
There is no predicate device for this analyte.
b. Matrix comparison:
Serum is the only sample type used.
3. Clinical studies:
a. Clinical Sensitivity:
Sponsor claimed clinical sensitivity 48.7%.
b. Clinical specificity:
Sponsor claimed clinical sensitivity 88.1%.
c. Other clinical supportive data (when a. and b. are not applicable):
The intent of the clinical trial was to determine the usefulness of DCP values in predicting the development of HCC with ≤ 21 months in enrolled subjects with chronic hepatitis B or C and/or liver cirrhosis. The subjects were monitored for the duration of the study (approximately 4 years) or until death, or development of verifiable HCC. The study objective was to observe a minimum of 30 subjects who did not have HCC at enrollment and developed HCC during the study. The study also planned to enroll a minimum of 50 subjects who had HCC with < 5 cm tumors at enrollment. During the study, blood samples were obtained every 3 months whenever possible and subjects underwent investigator assigned imaging (CT, MRI or ultrasound) per study site’s standard schedule and method. All blood samples for DCP were frozen and shipped to Wako for analysis. The study was “double-blinded”.
Four hundred ninety-four (494) subjects were recruited from 7 clinical sites (Lahey, MCV, Miami, Mt. Sinai, Toronto, UCSF and U Penn). The cohort consisted of 324 males (73.5%) with an average age of 51.8 years and 117 females (26.5%) with an average age of 54.8 years. Clinical data were collected for serum chemistries, imaging (CT, MRI and/or ultrasound),
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presenting symptoms, medications/interventions/therapeutics, and other medical information. Subjects were initially enrolled into two categories: those with newly diagnosed HCC at the study onset and those that did not have HCC. At the end of the study, all evaluable subjects were subdivided into 4 categories by the site investigators based on biopsy, explanted liver histology, imaging interpretation of tumor load, etc.: HCC at study onset (Group 1), developed confirmed HCC during study (Group 2), suspected of possible HCC (Group 3) and no HCC (Group 4). Only subjects that had 21 months between the first DCP positive result and end of study were included which resulted in excluding 53 subjects from the 04 group. The final number of subjects was 441.
Clinical site information
| Site | # subjects | % total | Study period |
| --- | --- | --- | --- |
| Lahey | 44 | 10 | 10/3/00-6/30/03 |
| MCV | 56 | 10 | 11/1/01-12/31/03 |
| Miami | 33 | 7.5 | 4/1/01-4/30/03 |
| Mt. Sinai | 245 | 55.5 | 6/1/00-6/30/04 |
| Toronto | 28 | 6.4 | 10/3/00-6/30/03 |
| UCSF | 18 | 4.1 | 8/15/00-6/30/03 |
| U Penn | 17 | 3.9 | 1/4/02-12/31/03 |
| Total | 441 | 100 | |
Site distribution
| Site | Group 1 | Group 2 | Group 4 | Group 3 | Total |
| --- | --- | --- | --- | --- | --- |
| | HCC | CH/LC → HCC | No HCC | Suspicious | |
| Lahey | 1 | 2 | 38 | 3 | 44 |
| MCV | 0 | 3 | 51 | 2 | 56 |
| Miami | 7 | 3 | 21 | 2 | 33 |
| Mt. Sinai | 43 | 28 | 112 | 62 | 245 |
| Toronto | 1 | 2 | 24 | 1 | 28 |
| UCSF | 2 | 1 | 14 | 1 | 18 |
| U Penn | 0 | 0 | 17 | 0 | 17 |
| Total | 54 | 39 | 277 | 71 | 441 |
Gender distribution
| | Group 1 | Group 2 | Group 4 | Group 3 | Total | |
| --- | --- | --- | --- | --- | --- | --- |
| | | HCC | CH/LC → HCC | No HCC | | Suspicious |
| Male | N | 46 | 31 | 196 | 51 | 324 |
| | % | 85.2 | 79.5 | 70.8 | 71.8 | 73.5 |
| Female | N | 8 | 8 | 81 | 20 | 117 |
| | % | 14.8 | 20.5 | 29.2 | 28.2 | 26.5 |
| Total | N | 54 | 39 | 277 | 71 | 441 |
Age distribution
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| | Group 1 | Group 2 | Group 4 | Group 3 | Total | |
| --- | --- | --- | --- | --- | --- | --- |
| | | HCC | CH/LC → HCC | No HCC | | Suspicious |
| Male | N | 46 | 31 | 196 | 51 | 324 |
| | Average+SD | 55.1+7.6 | 52.6+5.4 | 50.9+5.8 | 51.8+6.1 | 51.8+6.2 |
| | Range | 40-70 | 42-70 | 40-70 | 42-69 | 40-70 |
| Female | N | 8 | 8 | 81 | 20 | 117 |
| | Average+SD | 57.3+6.3 | 54.5+8.0 | 55.0+8.2 | 53.2+6.2 | 54.8+7.7 |
| | Range | 48-66 | 46-66 | 40-70 | 43-67 | 40-70 |
| Total | N | 54 | 39 | 277 | 71 | 441 |
| | Average+SD | 55.4+7.4 | 53.0+6.0 | 52.1+6.8 | 52.2+6.1 | 52.6+6.8 |
| | Range | 40-70 | 42-70 | 40-70 | 42-69 | 40-70 |
## Ethnic distribution
| | Group 1 | Group 2 | Group 4 | Group 3 | Total | |
| --- | --- | --- | --- | --- | --- | --- |
| | | HCC | CH/LC → HCC | No HCC | | Suspicious |
| Caucasian | N | 29 | 29 | 194 | 37 | 289 |
| | % | 53.7 | 74.4 | 70.0 | 52.1 | 65.6 |
| Asian | N | 2 | 2 | 18 | 2 | 24 |
| | % | 3.7 | 5.1 | 6.5 | 2.8 | 5.4 |
| Black American | N | 7 | 4 | 26 | 14 | 51 |
| | % | 13.0 | 10.3 | 9.4 | 19.7 | 11.6 |
| Hispanic | N | 14 | 2 | 34 | 12 | 62 |
| | % | 25.9 | 5.1 | 12.3 | 16.9 | 14.1 |
| Other | N | 2 | 2 | 5 | 6 | 15 |
| | % | 3.7 | 5.1 | 1.8 | 8.5 | 3.4 |
| Total | N | 54 | 39 | 277 | 71 | 441 |
## Hepatitis status
| Status | Group 1 | Group 2 | Group 4 | Group 3 | Total |
| --- | --- | --- | --- | --- | --- |
| | HCC | CH/LC → HCC | No HCC | Suspicious | |
| HBV+ | 10 (18.5%) | 4 (10.3%) | 24 (8.7%) | 2 (2.8%) | 40 (9.1%) |
| HCV+ | 26 (48.1%) | 28 (71.8%) | 190 (68.6%) | 43 (60.6%) | 287 (65.1%) |
| HBV/HCV+ | 18 (33.3%) | 7 (17.9%) | 63 (22.7%) | 26 (36.6%) | 114 (25.9%) |
| Total | 54 | 39 | 277 | 71 | 441 |
## Cirrhosis Child's classification
| | Group 1 | Group 2 | Group 4 | Group 3 | Total | |
| --- | --- | --- | --- | --- | --- | --- |
| | | HCC | CH/LC → HCC | No HCC | | Suspicious |
| Total subjects | N | 54 | 39 | 277 | 71 | 441 |
| No information | N | 16 | 0 | 47 | 3 | 66 |
| With information | N | 38 | 39 | 230 | 68 | 375 |
| Grade A | N | 11 | 8 | 93 | 12 | 124 |
| | % | 28.9 | 20.5 | 40.4 | 17.6 | 33.1 |
| Grade B | N | 20 | 18 | 93 | 43 | 174 |
| | % | 52.6 | 46.2 | 40.4 | 63.2 | 46.4 |
| Grade C | N | 7 | 13 | 44 | 13 | 77 |
| | % | 18.4 | 33.3 | 19.1 | 19.1 | 20.5 |
Distribution of DCP values
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| DCP
ng/mL | Group 1 | Group 2 | Group 4 | Group 3 |
| --- | --- | --- | --- | --- |
| | HCC | CH/LC → HCC | No HCC | Suspicious |
| # subject | 54 | 39 | 277 | 71 |
| Average | 38.0 | 32.0 | 6.2 | 3.1 |
| Median | 7.5 | 7.3 | 1.0 | 1.0 |
| SD | 100.2 | 104.3 | 29.2 | 6.1 |
| p value vs. Group 4 | <0.001 | <0.001 | 24 | 0.5811 |
Distribution of maximum DCP results in Group 2 and 4 subjects
| DCP
ng/mL | Number of Subjects | |
| --- | --- | --- |
| | Group 2 | Group 4 |
| 0-2.5 | 13 | 220? |
| 2.6-5.0 | 5 | 20? |
| 5.1-7.5 | 2 | 10? |
| 7.6-10 | 5 | 4? |
| 10.1-20.0 | 6 | 10? |
| 20.1-50.0 | 6 | 10? |
| >50.0 | 2 | 3? |
| Total | 39 | 277 |
Average number of days during which DCP was $\geq 7.5\ \mathrm{ng/mL}$ before HCC diagnosis was made was 218 days. The following table is the summary statistics for the total number of days of follow-up for subjects in Group 2 and 4 stratified by DCP results and overall.
| Subject | Lead time (Days) |
| --- | --- |
| 1 | -619 |
| 2 | -603 |
| 3 | -245 |
| 4 | -25 |
| 5 | -244 |
| 6 | -212 |
| 7 | -291 |
| 8 | 0 |
| 9 | -627 |
| 10 | -65 |
| 11 | 0 |
| 12 | -38 |
| 13 | -9 |
| 14 | -175 |
| 15 | -84 |
| 16 | -192 |
| 17 | -351 |
| 18 | 0 |
| 19 | -365 |
| Mean | -218 |
| Median | -192 |
| Range | 0-(−627) |
Relative risk determination:
{10}
Relative risk was calculated using group 2 and 4. The following table summarizes the distribution of patients with DCP $\geq 7.5\ \mathrm{ng/mL}$ and those with DCP $< 7.5\ \mathrm{ng/mL}$ in these groups.
| | | HCC | No HCC | Total |
| --- | --- | --- | --- | --- |
| DCP | ≥7.5 ng/mL | 19 | 33 | 52 |
| | <7.5 ng/mL | 20 | 244 | 264 |
| Total | | 39 | 277 | 316 |
Risk of HCC for DCP positive = 36.5% (95%CI: 23.5, 49.6)
Risk of HCC for DCP negative = 7.6% (95%CI: 4.4, 10.8)
Relative risk = 4.8 (95%CI: 2.8, 8.4)
Logistic regression analysis was performed using HCC variable (yes or no) for the dependent variable and adding a “Time” covariate as the number of days between the first DCP elevation of $\geq 7.5\ \mathrm{ng/mL}$ and the confirmed diagnosis of HCC for Group 2 and the number of days between study enrollment and the end of study for Group 4. The analysis showed that the best fit for the model was when “Time” variable is linear and had no significant interaction with DCP values and resulted in adjusted odds ratio of 5.6 (95%CI: 2.6, 11.8) as compared with unadjusted odds ratio of 7.0 (95% CI: 3.4, 14.5).
4. Clinical cut-off:
Same as the assay cut-off.
5. Expected values/Reference range:
Distribution of DCP values in patients with chronic hepatitis B and/or C, cirrhosis caused by HBV and/or HCV and HCC was determined from the clinical study. Results are summarized below.
| | Number of Patient | | DCP (ng/mL) | | |
| --- | --- | --- | --- | --- | --- |
| | | Total | DCP >7.5 ng/mL | Median | Range |
| Chronic hepatitis | HBV | 8 | 0 | 1.0 | 1.0-1.1 |
| | HCV | 58 | 3 | 1.0 | 1.0-374.8 |
| | HBV+HCV | 11 | 0 | 1.0 | 1.0-1.3 |
| Cirrhosis | HBV | 23 | 3 | 1.0 | 1.0-106.6 |
| | HCV | 218 | 17 | 1.0 | 1.0-38.8 |
| | HBV+HCV | 83 | 15 | 1.0 | 1.0-176.2 |
| HCC | | 54 | 24 | 7.5 | |
Distribution of DCP values in 157 patients with other GI and non-GI cancers was also evaluated. Of the 68 patients with non-HCC GI cancers, 4 had elevated DCP. The total incidence in GI cancers was $5.9\%$. Of the remaining 89 patients, only one patient with prostate cancer and one with breast cancer had elevated DCP results. The total incidence in non-GI cancers was $2.3\%$. The following table shows the summary results.
{11}
| | Number of Patient with DCP >7.5 ng/mL | DCP (ng/mL) of Positives |
| --- | --- | --- |
| Gastric cancer | 1/19 | 220.6 |
| Pancreatic cancer | 0/5 | |
| Cholangiocellular cancer | 0/2 | |
| Cholangiocarcinomairrhosis | 0/2 | |
| Gallbladder cancer | 0/3 | |
| Colon cancer | 0/20 | |
| Rectal cancer | 1/4 | 84.6 |
| Renal cellular cancer | 2/13 | 27.0, 314.7 |
| Thyroid cancer | 0/8 | |
| Lung cancer | 0/19 | |
| Bladder cancer | 0/19 | |
| Prostate cancer | 1/19 | 161.3 |
| Breast cancer | 1/14 | 46.0 |
| Endometrial cancer | 0/5 | |
| Endocervical cancer | 0/1 | |
| Ovarian cancer | 0/4 | |
Based on literature, there was one case report of a DCP producing lung cancer in addition to 6 case reports for DCP-producing gastric cancers. Since elevated DCP could be found in other cancers, the sponsor includes in the "Limitation" section of the package insert the following: "DCP producing tumors other than HCC can show elevated values of DCP. It is recommended that this assay be used in conjunction with imaging studies for clinical diagnosis".
In normal subjects, DCP is not detectable but can be found in patients who are vitamin K deficient or taking vitamin K antagonists such as Warfarin. In "Precaution" section of the P.I., the sponsor stated that "Medication containing vitamin K preparations may cause a negative bias on the DCP values. Medication containing vitamin K antagonist or antibiotic may cause a positive bias on the DCP values".
# 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.