Table 4 Performance of each multivariate model based on MRI or PET/CT data

From: Preoperative nomogram for the identification of lymph node metastasis in early cervical cancer

 

Model-development set

Validation set

 

Hosmer–Lemeshow test

Hosmer–Lemeshow test

 

AUC (95% CI)

χ 2

DF

P -value

AUC (95% CI)

χ 2

DF

P -value

Model with MRIa

0.811 (0.753–0.863)

7.609

8

0.473

0.770 (0.682–0.846)

3.314

6

0.768

Model with PET/CTb

0.878 (0.833–0.917)

6.734

8

0.566

0.825 (0.736–0.895)

6.107

6

0.411

  1. Abbreviations: AUC=area under the receiver operating characteristics curve; CI=confidence interval; DF=degree of freedom; LNM=lymph node metastasis; MRI=magnetic resonance imaging; PET/CT=positron emission tomography/computed tomography; SCC Ag=squamous cell carcinoma antigen.
  2. aVariables incorporated are age, tumour size by MRI, LNM assessed by MRI, SCC Ag (categorical; <2 ng ml−1 vs ⩾2 ng ml−1).
  3. bVariables incorporated are age, tumour size by MRI, LNM assessed by PET/CT.
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