Retrospective clinical samples from three vendors; Medical records/clinical biopsy outcomes
A retrospective cohort of 591 clinical samples was used to determine the distribution of PSA values and evaluate the effectiveness of the AIA-PACK PA assay in conjunction with DRE for prostate cancer detection.
Retrospective cohort; Clinical samples; Prostate cancer detection; Biopsy confirmation
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Retrospective Cohort Study; Retrospective analysis of clinical samples; Follow-up/Duration: Serum collected no more than 30 days prior to prostate biopsy
Men aged 50-90 years (median 68) in the U.S. and Netherlands; Sample Size: 591; Number of Sites: 3 vendors
Not applicable for this study
PSA value distribution, association with biopsy results, DRE performance
Indications for Use
AIA-PACK PA is designed for IN VITRO DIAGNOSTIC USE ONLY for the quantitative measurement of Prostate Specific Antigen (PSA) in human serum on TOSOH AIA System analyzers. This device is indicated for the measurement of serum PSA in conjunction with Digital Rectal Examination (DRE) as an aid in the detection of prostate cancer (CaP) in men fifty years of age and older. Prostate biopsy is required for the diagnosis of cancer. This device is further indicated for the serial measurement of PSA in human serum to be used as an aid in the management of patients with prostatic cancer.
Device Story
AIA-PACK PA is a two-site immunoenzymometric assay for quantitative measurement of Prostate Specific Antigen (PSA) in human serum. Used on Tosoh AIA Automated Immunoassay Systems in clinical laboratory settings. Input: human serum sample. Mechanism: PSA binds to monoclonal antibody on magnetic solid phase and enzyme-labeled monoclonal antibody; magnetic beads washed; incubated with fluorogenic substrate (4-methylumbelliferyl phosphate). Output: fluorescent light intensity proportional to PSA concentration. Healthcare providers use results in conjunction with Digital Rectal Examination (DRE) to aid in prostate cancer detection and patient management. Clinical decision-making involves using PSA levels to determine the necessity of prostate biopsy. Benefits include early detection of organ-confined prostate tumors, which are more amenable to effective treatment.
Clinical Evidence
Clinical study included retrospective (n=591) and prospective (n=523) cohorts of men aged 50+ referred for prostate biopsy. Combined cohort (n=1082) evaluated PSA (4.0 ng/mL cutoff) and DRE. PSA alone correctly identified 80.3% of cancer subjects; DRE alone identified 34.7%. Combined use (positive on either) identified 87.6% of cancer subjects. Combined use (positive on both) identified 86.1% of disease-free subjects. Common medications did not affect PSA levels.
Technological Characteristics
Two-site immunoenzymometric assay. Components: monoclonal antibodies, magnetic solid phase, enzyme-labeled monoclonal antibody, fluorogenic substrate (4-methylumbelliferyl phosphate). Analyzed on Tosoh AIA Automated Immunoassay Systems. Measures fluorescent light emission proportional to PSA concentration. Reacts equimolarly with free PSA and PSA-ACT complex.
Indications for Use
Indicated for men aged 50+ as an aid in detection of prostate cancer when used with DRE, and for serial measurement to aid in management of patients with prostatic cancer. Prostate biopsy required for definitive diagnosis.
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.
Submission Summary (Full Text)
{0}
# SUMMARY OF SAFETY AND EFFECTIVENESS
I. General Information
| Proprietary Name: | AIA-PACK PA (P910065) |
| --- | --- |
| Classification Name: | Prostate specific antigen (PSA), Immunoenzymometric Assay for The Measurement of PSA in Human Serum. |
| Common / Usual Name: | -Immunoassay, PSA |
| Establishment Registration Number | TOSOH CORPORATION, a foreign manufacturer, is a registered medical device establishment; registration number 8031673. TOSOH MEDICS, Inc., the initial United States distributor of this device, is a registered medical device establishment; registration number 2950409. The AIA-PACK PA Assay is manufactured by TOSOH CORPORATION in Tokyo, Japan |
| Applicant Address: | TOSOH Medics, Inc. 347 Oyster Point Boulevard, Suite 201 S. San Francisco, CA 94080 |
| PMA Number: | P910065/S01 |
| Date of Panel Recommendation: | Pursuant to Section 515(c)(2) of the act as amended by the Safe Medical Devices Act of 1990, this PMA was not the subject of an FDA Immunology Devices Advisory Panel meeting because the information in the PMA substantially duplicated information previously reviewed by this Panel. |
| Date of Notice of Approval of Application: | SEP 10 1999 |
7
{1}
## II. Indications for Use
This PMA supplement is being filed with the Food and Drug Administration for modification of the indications for use as follows:
"AIA-PACK PA is designed for IN VITRO DIAGNOSTIC USE ONLY for the quantitative measurement of Prostate Specific Antigen (PSA) in human serum on TOSOH AIA System analyzers. This device is indicated for the measurement of serum PSA in conjunction with Digital Rectal Examination (DRE) as an aid in the detection of prostate cancer (CaP) in men fifty years of age and older. Prostate biopsy is required for the diagnosis of cancer.
This device is further indicated for the serial measurement of PSA in human serum to be used as an aid in the management of patients with prostatic cancer."
### III. Summary and Explanation of the Device
Prostate Specific Antigen (PSA) was identified in 1977 by Wang, et al.¹ PSA is a single chain glycoprotein of approximately 34,000 daltons containing 7% carbohydrate.² Functionally and immunohistochemically PSA is distinct from prostatic acid phosphatase (PAP) and is confined to the cytoplasm of prostatic acinar cells and ductal epithelium.³,⁴
The presence of PSA has been demonstrated in normal, benign hyperplastic, and malignant prostatic tissue, in metastatic prostatic carcinoma, and also in prostatic fluid as well as seminal plasma.⁵ PSA is not present, however, in any other tissue from men, nor is it produced by cancers of the lung, colon, rectum, stomach, pancreas or thyroid.⁶ Elevated serum PSA levels have been reported in patients with prostate cancer, benign prostatic hypertrophy, or inflammatory conditions of other adjacent genitourinary tissues.³,⁷ Prostate cancer cannot be diagnosed until biopsy results confirm the presence of cancer cells. Studies indicate that PSA is an important tool in assessing the effect of therapy.⁸ Especially in patients being treated with hormone therapy, concurrent serial determinations of PSA and PAP may provide added clinical value in monitoring patients with prostatic cancer.⁹
Digital rectal examination (DRE) is a widely used technique for detecting prostate cancer, but this procedure used by itself can miss significant numbers of prostatic cancers, especially organ confined tumors in prostate locations difficult to palpate. The detection of these organ-confined tumors is particularly important since effective treatments of tumors found at this early stage currently exist. In addition, it has been clearly demonstrated that the incidence of prostate cancer increases with age. With the increases in life expectancy, early diagnosis is important because more men will develop prostate cancer during their lifetime.
Since the mid-1980's, there has been a growing body of literature concerning the utility of Prostate Specific Antigen (PSA) for both monitoring and detection of prostate cancer (CaP). Catalona et al. evaluated detection of prostate cancer using
2
8
{2}
PSA in conjunction with DRE.¹¹ Of the 6,630 men participating in the study, biopsies were performed on 1,167 men for a biopsy rate of 17.6%. To be eligible for biopsy in this study required a PSA value greater than 4.0 ng/mL or a suspicious DRE result. Prostate cancer was found in 264 of these patients (22.6%) a percentage that is lower than more recent studies involving serially accrued patients undergoing biopsy procedures. The general finding of this study was that PSA enhances the ability of DRE to detect prostate cancer when used in combination.
# IV. Device Description
AIA-PACK PA reagents are manufactured specifically for use on Tosoh AIA Automated Immunoassay Systems.
The AIA-PACK PA is a two-site immunoenzymometric assay. PSA present in the test sample is bound with monoclonal antibody immobilized on a magnetic solid phase and enzyme-labeled monoclonal antibody. The magnetic beads are washed to remove unbound enzyme-labeled monoclonal antibody and are then incubated with a fluorogenic substrate, 4-methylumbelliferyl phosphate (4MUP). The instrument measures the amount of fluorescent light emitted. The amount of emitted fluorescent light is directly proportional to the PSA concentration in the test sample. A standard curve is constructed, and unknown sample concentrations are calculated using this curve. Due to the sites recognized by the antibodies, the Tosoh AIA-PACK PA (PSA) has been shown to react in an equimolar fashion with both unbound PSA (free PSA) and that complexed to anti-chymotrypsin (PSA-ACT).
# V. Alternative Practices and Procedures
The detection of prostate cancer routinely utilizes Digital Rectal Examination (DRE) and less commonly transrectal ultrasound, in addition to the measurement of serum PSA. The diagnosis of prostate cancer can only be made upon the positive pathology findings in a prostate biopsy. Results from PSA testing, DRE, TRUS, family history, clinical symptoms, and other factors are considered before recommending a biopsy procedure.
# VI. Marketing History
AIA-PACK PA has been marketed in the United States as an aid in the management of patients with prostatic cancer on TOSOH AIA System analyzers since its clearance July 7, 1993.
AIA-PACK PA has been available outside the United States since 1991 and has been used in the following countries without restrictions as to its use: Great Britain, Germany, France, Belgium, Holland, Spain, Australia, New Zealand, Japan, and Brazil.
AIA-PACK PA has never been withdrawn from any country for reasons relating to safety and effectiveness of the device.
# VII. Potential Adverse Effects of the Device on Health
3
9
{3}
AIA-PACK PA is for IN VITRO DIAGNOSTIC USE ONLY. The reagents themselves have little potential for adverse effect on the health of the user or the patient.
Results from the AIA-PACK PA assay alone should not be interpreted as definitive for the presence or absence of prostatic cancer. Patients with levels of PSA within the normal range may have prostatic cancer. Patients with levels exceeding the normal range may be cancer free. Elevations in PSA may occur from benign conditions such as benign prostatic hypertrophy and other benign diseases of the prostate. Results from the AIA-PACK PA should be interpreted in the light of other clinical findings and diagnostic procedures such as DRE and/or TRUS. Biopsy of the prostate with pathological evaluation is currently used to confirm the presence or absence of prostate cancer. The physician and patient should discuss the risks and benefits of a biopsy procedure and potential cancer risks before initiating this procedure. Many treatment options, including the considered choice of no treatment, are available.
### VII. Summary of Studies
A. Pre-clinical Studies
This PMA supplement is being submitted only for addition of another Indication for Use. No changes were made in the reagent or test procedures, therefore, no additional pre-clinical studies were indicated. Please refer to the original AIA-PACK PA PMA (P910065) for information on the pre-clinical data.
B. Clinical Studies
1. Study Objectives
a. Determine the distribution of PSA values as measured by AIA-PACK PA in a cohort of men diagnosed with prostate cancer confirmed by prostate biopsy.
b. Determine the distribution of PSA values as measured by AIA-PACK PA in a cohort of men with benign prostate disease as confirmed by prostate biopsy.
c. Determine the association between the PSA values, as measured by the AIA-PACK PA, in conjunction with DRE and the presence or absence of prostate cancer determined from biopsy.
d. Compare the effectiveness of PSA measurement and digital rectal examination (DRE) in detecting prostate cancer when used alone, when either test is positive, or when both are positive.
e. Determine the number of organ confined prostate tumors detected with the combined use of PSA testing and digital rectal examination (DRE).
f. Study the effect of routinely taken common medications on the serum PSA values as measured by the AIA-PACK PA assay.
2. Study Description
4
10
{4}
A clinical study with a retrospective and a prospective cohort was undertaken to evaluate the safety and effectiveness of the AIA-PACK PA in conjunction with DRE to aid in the detection of prostate cancer in men aged 50 years and older.
Retrospective Cohort - This cohort consisted of 624 samples drawn from men between the ages of 50 and 90 (median age = 68 years; mean = 68.8 years) in the U.S. and Netherlands. The samples were obtained from three vendors gathered under IRB approved protocols for sample acquisition. Samples were processed and frozen at -70°C, shipped to the study site frozen in dry ice where they were stored at -70°C until analysis. Serum was collected no more than 30 days prior to a prostate biopsy. Ninety-five percent of all AIA-PACK PA values were between 0.31 ng/mL and 105.5 ng/mL (median value = 5.2 ng/mL). Patients whose PSA values fell out of the central 95% (33 samples) were excluded from further analysis leaving a total of 591 samples. Of the 591 samples in this retrospective study, DRE results were available on 567 subjects (95.9%).
Prospective Cohort – This cohort consisted of 523 prospectively obtained samples collected under an IRB approved protocol with patient informed consent from eleven (11) Urological centers geographically distributed throughout the United States. These samples were collected from men aged 50 years and older who had been referred to a Urologist for determination of the presence or absence of prostate cancer. Men with prior history of benign prostate disease or history of or treatment for prostate cancer were excluded from this study. Serum was collected no more than 30 days prior to prostate biopsy and either before or at least 5 days after digital rectal examination. Ninety-five percent of the PSA values (515 subjects) as measured by the AIA-PACK PA fell between 0.33 ng and 87.9 ng/mL. These patients were evaluated statistically after removal of subjects outside this PSA range. Each of these 515 samples in the prospective cohort had DRE results available.
# 3. Study Results:
# a. Retrospective Cohort
Samples from a total of 591 subjects were evaluated in this portion of the studies. Ninety-five percent of the PSA values measured on samples from this retrospective cohort were between 0.31 ng/mL and 105.5 ng/mL. The median value was 5.2 ng/mL. The mean (median) value of PSA as measured by AIA-PACK PA was 5.83 (5.02) ng/mL for patients with a benign biopsy result compared to a mean (median) of 15.71 (7.88) ng/mL in men diagnosed with prostate cancer. DRE results were available for 567 of 591 patients. Of the 567 subjects with DRE and PSA results and biopsy determinations of cancer outcome, 153 prostate cancers were detected. The prevalence of cancer in this cohort of subjects was 27% ± 1.9%.
5
11
{5}
The association between disease status (Biopsy Result), age and the PSA values was examined using an analysis of variance. Age was categorized as: 1) 50 – 59 years; 2) 60 – 69 years; or 3) 70 years and older. A significant association between biopsy result, age category and PSA value was noted.
Digital rectal examination correctly identified 37.9% (58/153, 95% confidence interval 30.2% to 45.5%) of subjects with prostate cancer in this cohort. Digital rectal examination correctly identified 56.0% (232/414) of disease-free subjects in this cohort.
Using the upper limit of normal of 4.0 ng/mL as a cutoff, 118 of 153 cancer patients (77.1%) were correctly identified by PSA alone while 131 of the 153 cancer patients (85.6%) were correctly identified when positive on either PSA or DRE (and negative on the other test) or positive on both. The observed additional cancer detected when positive on either PSA or DRE (and negative on the other test) or both compared to DRE alone was 47.7%. The expected additional cancer (based on chance) of either PSA or DRE or both compared to DRE alone was 43.4%.
# b. Prospective Cohort
In the prospective group, DRE results were available for 515 patients. For the 515 subjects with PSA and DRE results as well as biopsy confirmation of cancer outcome, 187 prostate cancers were detected. The cancer prevalence in this cohort of subjects was 36.3% ± 2.1%. The cancer prevalence rate in the retrospective cohort (27% ± 1.9%) differed from the prevalence rate in the prospective cohort (p = 0.001). The DRE outcome in the prospective cohort was different from the outcome in the retrospective cohort (p < 0.0001). The percentage of subjects with abnormal DRE results (suspicious for cancer) in the retrospective cohort was 42% while the percentage of subjects with abnormal DRE results in the prospective cohort was 20%. The PSA outcome (categorized as above or below 4 ng/ml) in the prospective cohort was also significantly different from the PSA outcome in the retrospective cohort (p < 0.0001). In the retrospective cohort the percentage of subjects with elevated PSA results was 65% while in the prospective cohort the percentage of subjects with elevated PSA results was 77%.
Using only DRE (irrespective of PSA result), 60 cancer patients were correctly identified as having prostate cancer (32.1%, 60/187, 95% confidence interval 25.4% to 38.8%) and 285 disease-free subjects were correctly identified as without cancer (86.9%, 285/328).
When PSA at a cutoff of 4.0 ng/mL was used (irrespective of DRE result), 155 of the 187 cancer patients (82.9%) were correctly
6
12
{6}
identified as having cancer. For the PSA test alone (irrespective of DRE result), 86 of 328 disease-free subjects (26.2%) were correctly identified as without cancer. Of the 187 total cancer patients, 167 subjects were correctly identified as having cancer when using either PSA, or DRE, or both (89.3%, 95% Confidence interval 84.9% to 93.7%). When positive on either PSA, or DRE (and negative on the other test), or both, 27 of 328 disease-free subjects were correctly identified as without cancer (21.6%, 95% confidence interval 17.2% to 26.1%). The observed additional cancer detected when positive on either PSA, or DRE (and negative on the other test), or both compared to DRE alone was 57.8%. The expected additional cancers detected (by chance alone) using either PSA, or DRE, or both in conjunction compared to DRE alone was 62.3%.
Of the 187 confirmed prostate cancers, the Gleason grade scores ranged from 3 to 12. The median Gleason grade was 6 with a mean of 6.3. If the PSA values are categorized by Gleason grade (3-4; 5-7; 8-12), a one way analysis of variance indicated that there were differences in the mean PSA values between the Gleason grade categories. The mean PSA value for men with a Gleason grade of 4 or less was lower than the mean PSA of either of the other groups (5.7 ng/mL vs. 10.5 ng/mL or 19.5 ng/mL).
c. Combined Prospective and Retrospective Cohorts
Subjects from each individual cohort were combined together for analysis.
A total of 1082 subjects were used for evaluation. Of the total subjects, 340 cancers were detected. The cancer prevalence rate overall was 31.4% ± 1.4%. A significant association between DRE result (categorized as abnormal and suspicious for cancer vs normal) and PSA result (categorized as above or below 4 ng/ml) was found across both biopsy positive and negative subjects (probability of no association less than 0.0001).
Distribution of Disease Status by DRE Result (Combined Study)
| DRE Result | Biopsy – Malignant | Biopsy – Benign | Total Numbers |
| --- | --- | --- | --- |
| Suspicious | 118 | 225 | 343 |
| Normal | 222 | 517 | 739 |
| Total | 340 | 742 | 1082 |
Distribution of Disease Status by PSA and DRE Result (Combined Study)
| DRE Result | PSA | Biopsy – | Biopsy – | TOTALS |
| --- | --- | --- | --- | --- |
7
13
{7}
| | (ng/mL) | Malignant | Benign | |
| --- | --- | --- | --- | --- |
| Suspicious | ≥4.0 | 93 | 103 | 196 |
| Suspicious | <4.0 | 25 | 122 | 147 |
| Normal | ≥4.0 | 180 | 387 | 567 |
| Normal | <4.0 | 42 | 130 | 172 |
| TOTALS | | 340 | 742 | 1082 |
At a cutoff of 4.0 ng/mL, PSA test results, independent of age or DRE result, correctly identified 80.3% (273/340, 95% confidence interval 76.0% to 84.6%) of cancer subjects while correctly identifying 34% of disease-free subjects (252/742, 95% confidence interval 30.7% to 37.3%). The positive predictive value of PSA, irrespective of DRE results, was 0.358 ± 0.017 and was significantly better (p < 0.0001) than the overall cancer prevalence.
Abnormal DRE results, irrespective of PSA result, correctly identified 118 of the 340 cancers (34.7%) while correctly identifying 517 of 742 disease-free subjects (69.7%). The positive predictive value of DRE alone was 0.344 ± 0.026 and was not significantly better than the cancer prevalence (p > 0.05).
When positive on either PSA result or DRE result (and negative on the other test) or both, 298 of 340 cancer patients were correctly identified (87.6%, 95% confidence interval 84.1% to 91.1%). This combination of tests correctly identified 130 of 742 disease-free subjects (17.5%, 95% confidence interval 4.8% to 20.2%). The positive predictive value was 0.328 ± 0.016 and was significantly better than the cancer prevalence (p = 0.031).
The observed additional cancer detected when positive on either PSA or DRE (and negative on the other test) or both compared to DRE alone in this combined cohort was 52.9%. The expected additional cancer detected (by chance alone) using this combination compared to DRE alone was 52.4%.
The combination of positive results on both PSA and DRE correctly identified 93 of 340 cancer patients (27.4% ± 3.6%). However, the combination of positive results on PSA and DRE correctly identified 639 of 742 disease-free subjects (86.1% ± 1.3%). The positive predictive value was 0.475 ± 0.036 and was significantly better (p < 0.0001) than the cancer prevalence.
# C. Effect of Common Drugs on measured PSA values
# Drug Use and Normal Healthy Men
A cohort of 53 men with no prior evidence of prostate disease was studied to determine the effect of common routinely taken medications on the PSA result
8
14
{8}
as measured by the AIA-PACK PA assay. To be included, men must have been taking one of the following types of medication on a regular basis:
1. aspirin for the control or prevention of stroke
2. anti-hypertensive medication
3. anti-arrhythmic medication
Analysis of variance was performed using a two-way interaction model. Results indicate that the levels of PSA in the serum are not affected by the use of these drugs in a prostate disease-free cohort.
# Drug Use in a Urologically Referred Cohort
In the prospective cohort used for this in this study, information was obtained on medications taken by the men on a regular basis. Medication was either prescribed by a physician or was over-the-counter medications indicated for a specific condition. Medications included the following:
1. Acetaminophen
2. Anticoagulant
3. anti-hypertensive
4. anti-inflammatory
5. anti-arrhythmic
6. antibiotic
7. aspirin
8. cardiac medications
9. hypoglycemic medications
10. others
Hormone therapy was excluded. Results indicate that there was no difference in the mean PSA values between those men who took medication and those who did not regardless of biopsy outcome. These results indicate that the use of these medications do not affect the levels of PSA in a urologically referred population.
# D. Discussion of Results
# Clinical Utility of DRE Result
In the retrospective cohort, DRE results alone correctly identified 38% of those men diagnosed with prostate cancer based on biopsy. In the prospective cohort, DRE results correctly identified 32% of prostate cancer subjects. The percentages of correctly identified subjects in each cohort are not statistically different as evidenced by the overlapping of their confidence intervals.
Hence, 35% of cancer subjects correctly identified in the combined cohort appears a reasonable expectation of the effectiveness of digital rectal examination as an aid in the diagnosis of prostate cancer and is in agreement with other published work.
The percentage of correctly identified disease-free subjects for DRE was 56% in the retrospective cohort and 87% in the prospective cohort. These
9
15
{9}
proportions are significantly different. Possibly the nature of the subjects providing samples in the retrospective cohort or an over-estimation of the percentage in the prospective cohort could account for the difference. In the combined cohort, the percentage (70%) of correctly identified disease-free subjects (517/742) is likely an under-estimate of this test's true specificity.
## Clinical Utility of PSA Regardless of DRE Result
In the retrospective group, the use of PSA correctly identified 77.1% of cancer subjects. In the prospective cohort, the use of PSA correctly identified 83% of cancer subjects. These percentages are not statistically different. In the combined cohort, 83% of cancer subjects were correctly identified by PSA. The estimate for the combined cohort is similar to published results.
In the retrospective cohort, the use of PSA correctly identified 40% of disease-free subjects. In the prospective cohort, use of PSA correctly identified 26%. These percentages are statistically significant. The nature of the subjects providing samples in the retrospective cohort compared to the prospective cohort could possibly account for the differences.
In the combined cohort at a cutoff of 4.0 ng/mL the use of PSA correctly identified 34% of disease-free subjects.
## Clinical Utility of positive results on either PSA or DRE or both tests combined
This combination utilizes positive results on either PSA or DRE, while negative on the other test, or positive results on both tests. In both the retrospective and the prospective cohorts there was a substantive increase in the percentage of correctly identified cancer patients when PSA was combined with the DRE results. In both prospective and retrospective cohorts, the percentage of correctly identified cancer subjects (86% and 89%, respectively) using either or both tests combined was higher than the percentage using DRE alone (38% and 32%, respectively). In the combined cohort, the percentage of cancer subjects correctly identified by use of either PSA or DRE or both was 88% while the percentage of disease-free subjects was 18%. In the combined cohorts, the positive predictive value of this combination was significantly higher than the cancer prevalence.
## Clinical Utility of both PSA and DRE combined
This combination utilizes positive results on both tests only. When this combination is used, 82% of disease-free subjects in the retrospective cohort and 92% of disease-free subjects in the prospective cohort were correctly identified. While these percentage are significantly different, they are higher than the respective percentage of disease-free subjects detected by DRE alone (56% in the retrospective cohort; 87% in the prospective cohort) or by PSA alone (40% in the retrospective cohort; 26% in the prospective cohort). For the combined cohort, 86% of disease-free subjects were correctly identified by this combination of PSA and DRE. In the combined cohort, DRE correctly identified 70% and PSA correctly identified 34% of disease-free subjects.
10
16
{10}
### VIII. Conclusions Drawn from Studies
#### A. Clinical Studies
The combined use of positive results on either PSA or DRE (and negative results on the other test) or both tests detected the highest percentage of cancer subjects in each cohort of men as well as the combined cohorts. The use of PSA alone or DRE alone detects cancer subjects but at lower percentages.
The combined use of PSA and DRE, when both have positive test results, detected the highest percentage of disease-free subjects in each cohort of men as well as overall. The use of PSA alone or DRE alone correctly identified disease-free subjects but at lower percentages than the use of both PSA and DRE, when both have positive test results.
The use of PSA with DRE detected more organ-defined prostate cancer than either DRE or PSA alone.
Common medications taken by healthy men and those prescribed to a urologically referred cohort do not affect the levels of serum PSA.
The studies described in this PMA supplement have demonstrated the safety and effectiveness of the AIA-PACK PA in men aged 50 years of age and older when used in conjunction with digital rectal examination as an aid in the detection of prostate cancer.
#### B. Risk/Benefit Analysis
Since the AIA-PACK PA assay is an IN VITRO DIAGNOSTICS TEST, there is minimal risk associated the venipuncture necessary to collect the sample. False positive PSA test results may lead to additional confirmatory procedures such as TRUS and biopsy. False negative PSA test results may lead to the absence of adequate follow-up to detect the presence of cancer. Though the clinical studies indicate that PSA and DRE together are useful in detecting prostate cancers, negative results on either DRE or PSA or both do not preclude the presence of prostate cancer. Also, positive results on DRE and PSA do not confirm a diagnosis of prostate cancer. The results of a prostatic biopsy must be used to confirm a prostate cancer diagnosis.
The benefits associated with using the AIA-PACK PA in conjunction with DRE would be additional men identified as having prostate cancer. Prostate cancers found while disease is confined to the gland lend themselves to effective treatments more readily than disease detected after spreading beyond the prostate gland.
There is a risk of an unneeded biopsy when using all PSA assays in combination with DRE. In these studies, the use of the combination of positive results on both PSA and DRE would result in one unneeded biopsy for every cancer case found. When either test is positive but the other test is negative, there is an increase in the number of unneeded biopsies (from 2- 5) for every cancer case found.
11
17
{11}
# IX. Panel Recommendation
Pursuant to Section 515(c)(2) of the act as amended by the Safe Medical Devices Act of 1990, this PMA was not the subject of an FDA Immunology Devices Advisory Panel meeting because the information in the PMA substantially duplicated information previously reviewed by this Panel.
# X. CDRH Action on the Application
SEP 10 1999
CDRH issued an approval for this application on _________
# XI. Approval Specifications
Directions for Use: See attached Labeling (Attachment A).
Conditions of Approval: CDRH Approval of the PMA is subject to final compliance with the conditions described in the Approval Order (Attachment B).
12
18
{12}
# XII. References
1. Wang M.C., et al. 1977. Tissue Specific and Tumor Specific Antigens In Human Prostate. Fed. Proceedings. 36:1254.
2. Wang, M.C., et al. 1979. Purification of a Human Prostate Specific Antigen. Invest. Urol. 17:159.
3. Papsidero, L.D., et al. 1980. A Prostate Antigen in Sera of Prostatic Cancer Patients. Cancer Res. 40:2428.
4. Nadji, M., et al. 1981. Prostatic-Specific Antigen: An Immunohistologic Marker for Prostatic Neoplasms. Cancer 48:1229.
5. Wang, M.C., et al. 1981. Prostatic Antigen: A New Potential Marker for Prostatic Cancer. Prostate 2:89.
6. Frankel, A.G., et al. 1982. Monoclonal Antibodies to a Human Prostate Antigen. Cancer Res. 42:3714.
7. Kuriyama, M., et al. 1980. Quantitation of Prostate-Specific Antigen in Serum by a Sensitive Enzyme Immunoassay. Cancer Res. 40:4658.
8. Killian, C.S. 1985. Prognostic Importance of Prostate-Specific Antigen for Monitoring Patients with Stages B2 to D1 Prostate Cancer. Cancer Res. 45:886.
9. Kuriyama, M., et al. 1982. Multiple Marker Evaluation in Human Prostate Cancer with the Use of Tissue-Specific Antigens. J. Nat. Canc. 68:99.
10. Young, D. 1990. Effects of Drugs on Clinical Laboratory Tests. 3rd Edition, Washington, DC, American Association for Clinical Chemistry Press.
11. Catalona, W., et al. 1994. Comparison of digital rectal examination and serum Prostate specific antigen in the early detection of prostate cancer: results of a multi-center clinical trial of 6,630 men. J. Urology. 151:1283.
13
19
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Guidance alerts
New and changed FDA guidance documents, emailed as a daily digest.
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
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 ? 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 as a Medical Device, 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 as a Medical Device), 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.