screening test for occult cancer 100 patients with occult cancer: 95 have "x" in their...
TRANSCRIPT
Screening Test for Occult Cancer
100 patients with occult cancer: 95 have "x" in their blood
100 patients without occult cancer: 95 do not have "x" in their blood
5 out of every 1000 randomly selected individuals will have occult cancer
SENSITIVITY
SPECIFICITY
PREVALENCE
2 X 2 Table
Occult CancerPresent
Occult CancerAbsent
"x" present "x" absent
100,000
99,500
50025475
4,975 94,525
5,450 94,550
If a patient has “x” in his blood, chance of occult canceris 475 / 5450 = 8.7%
Standard Terminology
DiseasePresent
DiseaseAbsent
Test positive
Testnegative
EntirePopulation
FP + TN
TP + FNTrue
Positives(TP’s)
FalsePositives
(FP’s)
TrueNegatives
(TN’s)
FalseNegatives
(FN’s)
TP + FP FN + TN
Definitions
SENSITIVITY = TPTP + FN
= P(T+|D+)
SPECIFICITY = TNFP + TN
= P(T -|D-)
PV + = PREDICTIVE VALUE = TPTP + FP
= P(D+|T+)
Positive Predictive Value Formula
(Sens)(Prev) + (1-Spec)(1-Prev)PV+ =
(Sens)(Prev)
Detection of Prostatic Cancer by Solid-Phase Radioimmunoassay of Serum Prostatic Acid Phosphatase
Editorial
“The clear implication of the accompanying report is that mass screening on the basis of a blood test alone can reverse this gloomy experience [of fatal delays in diagnosis of prostate cancer].”
New England Journal of MedicineDecember 22, 1977
Medical Journal
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Posed by a Professional Model
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“(You should be aware of) a new blood test called the Male-P.A.P. test ... a new, more sensitive method that your physician can use to detect chemical signals of a cancerous growth in the prostate. ... And even though all lab tests must be ordered by a physician, we believe that you should know the facts.”
New York Times, January 21, 1979
Sensitivity
Patients with prostate 113 79 70%cancer
Stage I 24 8 33%
Stage II 33 26 79%
Stage III 31 22 71%
Stage IV 25 23 92%
# ofpatients
# of positivetests
sensitivity
Specificity
Patients without prostate 217 13 94%cancer
Normal controls 50 0
BPH 36 2
After total prosta- 28 1tectomy
Other cancers 83 9
Misc. GI disorders 20 1
# ofpatients
# of positivetests
specificity
Use As Screening Test
• Without rectal examination:–Sensitivity = 70% Specificity = 94%
–Prevalence 33/100,000
–PV+ = 0.41% (i.e., 1 in 244 subjects)
• With rectal examination:–Sensitivity = 33% Specificity = 94%
–Prevalence 33/100,000
–PV+ = 0.19% (i.e., 1 in 526 subjects)
When is the test useful for screening?
Suppose patient has a nodule on rectal examination:
–Sensitivity (Stage 2 of disease) = 79%
–Specificity = 94%
–Prevalence = 50% !!
PV+ = 93% (chance of cancer if acid phosphatase is positive)
PV- = 82% (chance that there is no cancer if acid phosphatase is negative)
Predictive Values in Patients with a Nodule
PAP+
PAP-
50%
93%
18%
Combining Tests For Screening:
If a prostate biopsy is now performed, it needs to be considered as another test.
Specificity = 100%
Sensitivity depends on talent and statistics of surgeon doing the procedure
Prevalence is 50% if acid phosphatase has not been measured, but is 93% if acid phosphatase is positive and 18% if acid phosphatase is negative.
Sequential Testing
PAP+
PAP-
50%
93%
18%
BX+
BX+
100%
100%
Chance of Cancer after Negative Biopsy
Sensitivity of Biopsy
Acid Phosphatase positive (93% chance before biopsy)
Acid Phosphatase negative (18% chance before biopsy)
50%
87%
10%
70%
80%
6%
90%
56%
2%
Sequential Testing
PAP+
PAP-
50%
93%
18%
BX+
BX+
BX-
BX-
100%
100%
56%
< 2%
BAYES’ THEOREM
OR
P(D+|T+) = P(T+|D+) P(D+)P(T+|D+) P(D+) + [1-P(T -|D-)] [1- P(D+)]
PV + = (Sens )(Prev )(Sens )(Prev ) + (1-Spec )(1-Prev )
Typical Assumptions with theUse of Bayes' Theorem
• Completeness (for example, all men either have or do not have prostate cancer; there are no other possibilities)
• Mutual exclusivity (for example, if a man has prostate cancer, he cannot simultaneously NOT have prostate cancer)
• Conditional independence (for example, acid phosphatase and a biopsy result ARE conditionally independent tests; rectal exams and acid phosphatase may NOT be conditionally independent)
References
Foti et al. “Detection of prostate cancer by solid-phase radioimmunoassay of serum prostatic acid phosphatase.” New England Journal of Medicine 297:1357-1361 (1977)
Watson, R.A. and Tang, D.B. “The predictive value of prostatic acid phosphatase as a screening test for prostatic cancer.” New England Journal of Medicine 303:497-499 (1980)
Berwick, D.M., Fineberg, H.V., and Weinstein, M.C. “When doctors meet numbers.” American Journal of Medicine 71:991 (1981)
What is a “Positive Test”?
• All the analysis has assumed that it is clear whether a test is positive or negative
• In reality, many tests involve continuous values so that one result may be “more positive” than another
• How should one define the cut-off at which a test is judged to be abnormal?
Continuously Valued Variables
Normal
Diseased
Result
“Normal” cutoff False
Positives
False Negatives
True Negatives
True Positives
Continuously Valued Variables
Normal
Diseased
Result
“Normal” cutoff
• Fewer false positives (more “conservative”)
• More false negatives• Higher specificity• Lower sensitivity
Continuously Valued Variables
Normal
Diseased
Result
“Normal” cutoff
• Fewer false negatives (more “aggressive”)
• More false positives• Higher sensitivity• Lower specificity
Receiver Operating Characteristic(ROC) Curves
Tru
e P
osi
tive
Rat
e =
Sen
siti
vity
False Positive Rate = 1 - Specificity
Test ATest B
ROC curve shifts to left, indicating the new test (B) is “better” – or a better indicator to disease presence (more discriminatory).
The Importance of the Gold Standard
• Evaluating the value of a new test requires having some other method for determining “truth”
• Methods for determining truth are called gold standards
• Gold standards are often expensive, time consuming, uncomfortable, or risky– Biopsies
– Major invasive procedures or surgery
– Autopsies
– Integrated opinions of “super experts”
• We often seek simple, inexpensive, rapid, and safe tests that can perform almost as well as the gold standard