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Table 3 Accuracy for prediction of metastatic lymph nodes in the validation set

From: Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning

Lymph node

Frequency

Precision

Sensitivity

Specificity

F1-score

N1

Hilar

141

0.8141 (127/156)

0.9007 (127/141)

0.9127 (303/332)

0.8552

Interlobar

121

0.7740 (113/146)

0.9339 (113/121)

0.9062 (319/352)

0.8464

Lobar

6

0.4286 (6/14)

1.0000 (6/6)

0.9829 (459/467)

0.6000

N2

Upper paratracheal

32

0.8696 (20/23)

0.6250 (20/32)

0.9932 (438/441)

0.7273

Prevascular, retrotracheal

35

0.9259 (25/27)

0.7143 (25/35)

0.9954 (436/438)

0.8065

Lower paratracheal

77

0.8533 (64/75)

0.8312 (64/77)

0.9722 (385/396)

0.8421

Subaortic

10

0.6000 (9/15)

0.9000 (9/10)

0.9870 (457/463)

0.7200

Para-aortic

23

0.6000 (21/35)

0.9130 (21/23)

0.9689 (436/450)

0.7241

Subcarinal

65

0.8000 (60/75)

0.9231 (60/65)

0.9632 (393/408)

0.8571

Para-oesophageal

19

0.7083 (17/24)

0.8947 (17/19)

0.9846 (447/454)

0.7907

N3

Contralateral N1

61

0.5357 (45/84)

0.7377 (45/61)

0.9053 (373/412)

0.6207

Contralateral N2

109

0.7647 (52/68)

0.4771 (52/109)

0.9560 (348/364)

0.5876

Supraclavicular

99

0.9307 (94/101)

0.9495 (94/99)

0.981 (367/374)

0.9400

Overall

 

0.7663

0.8265

0.9603

0.7862