Table 5

False positive analysis

Profile, classifier scores, and clinical parameters for the false positives and false negatives identified by the best classifier.

TumorFeatures 3.1, 3.5, 5.2Classifier scoreAge (1st, 2nd)Ovarian tumorHistological gradePR statusER statusTumor type
False positives
1[G,G,N]a0.9558No3IDC
2[G,G,N]0.9545,47Yes3IDC
3[G,G,N]0.9545,47Yes3MP
4[L,G,N]0.9333,39No3NDNDIDC
5[L,G,N]0.9352,52No2++ILC
6[N,G,N]0.6549,61Yes3+IDC
7[N,G,N]0.6548,53No3MP
8[L,N,N]0.6139,42No3+IDC
9[L,N,N]0.6144,57No3IDC
10[L,N,N]0.6145,54No2+IDC
False negatives
11[N,N,N]0.1735,46No2++IDC
  • a [G,N,L], gain, normal, loss; ND, not done; ER, immunohistochemistry for estrogen receptor; PR, immunohistochemistry for progesterone receptor; IDC, invasive ductal carcinoma; MP, metaplastic; ILC, invasive lobular carcinoma; Grade, histological grade.