Sensitivity is what fraction of the affected people are actually found. Here: 90%, so 10% are missed.
Specificity is what fraction of the unaffected people are detected as such. Here: 95%, so 5% wrongly detected ("false positives").
In Europe, there are 60 cases of lung cancer per 100 000 people.
That makes 54 correctly detected per 100 000, missing 6 cases.
That also means 5000 people incorrectly suspected of lung cancer (5% of 100 000).
Update: using the accuracy from the article itself, we would still get a total of 1000 of false negatives (affected but not detected) and false positives (unaffected but suspected). Incidence is still 60/100 000.
Sensitivity is what fraction of the affected people are actually found. Here: 90%, so 10% are missed.
Specificity is what fraction of the unaffected people are detected as such. Here: 95%, so 5% wrongly detected ("false positives").
In Europe, there are 60 cases of lung cancer per 100 000 people.
That makes 54 correctly detected per 100 000, missing 6 cases. That also means 5000 people incorrectly suspected of lung cancer (5% of 100 000).
Update: using the accuracy from the article itself, we would still get a total of 1000 of false negatives (affected but not detected) and false positives (unaffected but suspected). Incidence is still 60/100 000.