The sensitivity-specificity curve is going to be a roadblock. If your False Positive rate is 0.5%, True Positive rate is 100% and your incidence of disease is 0.1%, the probability that a positive result is indicative of disease is only 17%.
Take a look at mammography, the false negative rate is estimated as high as 30% and the false positive rate of 65%.
If you can stratify your population (ie. increase the disease incidence), you'll do a bit better, but it's an uphill battle. Sure, late detection is a factor in the median life expectancy with pancreatic cancer. However, I suspect that if tumors were detected 6 months earlier, it would move the median survival time by 6 months and make no dent in the 5-year survival rate.
Take a look at mammography, the false negative rate is estimated as high as 30% and the false positive rate of 65%.
If you can stratify your population (ie. increase the disease incidence), you'll do a bit better, but it's an uphill battle. Sure, late detection is a factor in the median life expectancy with pancreatic cancer. However, I suspect that if tumors were detected 6 months earlier, it would move the median survival time by 6 months and make no dent in the 5-year survival rate.