Table 1. Discriminative values on test set.
TPa | TNb | FPc | FNd | Sensitivitye | Specificityf | Accuracyg | ||
---|---|---|---|---|---|---|---|---|
CD20/CD23 ratio | 30 | 40 | 0 | 0 | 100%h | 100% | 100% | |
FMC7/CD23 ratio | 30 | 37 | 3 | 0 | 100% | 92% | 96% | |
CD20/CD11c ratio | 24 | 33 | 7 | 6 | 80% | 82% | 81% | |
Combined Ratio Score | 30 | 37 | 3 | 0 | 100% | 92% | 96% | |
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CD23 intensity | 30 | 35 | 5 | 0 | 100% | 88% | 93% | |
FMC7 intensity | 24 | 32 | 8 | 6 | 80% | 80% | 80% | |
CD20 intensity | 24 | 33 | 7 | 6 | 80% | 82% | 81% | |
Light chain | 18 | 38 | 2 | 12 | 60% | 95% | 80% | |
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CD5 intensity | 19 | 22 | 18 | 11 | 63% | 55% | 59% |
TP (true positive) = the number of MCL cases which are diagnosed correctly
TN (true negative) = the number of SLL cases which are diagnosed correctly
FP (false positive) = the number of SLL cases which are diagnosed as MCL wrongly
FN (false negative) = the number of MCL cases which are diagnosed as SLL wrongly
Sensitivity to MCL is the portion of MCL cases that are correctly diagnosed by a feature (TP/(TP+FN)).
Specificity is the portion of SLL cases that are diagnosed correctly (TN/(TN+FP)).
Accuracy is the portion of all correctly diagnosed cases.
Performance higher than 95% is shown in boldface.