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Table 5 Model development: stepwise regression with backward selection and the Akaike and Bayes information criteria (AIC/BIC)

From: Development and validation of a model that includes two ultrasound parameters and the plasma D-dimer level for predicting malignancy in adnexal masses: an observational study

Steps

Model includes

AIC

BIC

age

multilocular

SA

BL

ascites

metastases

MS

CA125

CS

PLT

DD

0 - starting model

+

+

+

+

+

+

+

+

+

+

+

107.6212

149.8325

1 - “age” removed

–

+

+

+

+

+

+

+

+

+

+

105.8472

144.8115

2 - “metastases” removed

–

+

+

+

+

–

+

+

+

+

+

104.7247

140.4419

3 - “ascites” removed

–

+

+

+

–

–

+

+

+

+

+

103.1334

135.6037

4 - “mulilocular” removed

–

–

+

+

–

–

+

+

+

+

+

102.1436

131.3668

5 - “PLT” removed

–

–

+

+

–

–

+

+

+

–

+

101.5771

127.5533

6 - “MS” removed

–

–

+

+

–

–

–

+

+

–

+

102.1847

121.6669

7 - “CA125” removed

–

–

+

+

–

–

–

–

+

–

+

–

120.4145

8 - “BL” removed

–

–

+

–

–

–

–

–

+

–

+

–

119.9821

model: SA + CS

–

–

+

–

–

–

–

–

+

–

–

–

167.4295

model: SA + DD

–

–

+

–

–

–

–

–

–

–

+

–

121.9826

model: CS + DD

–

–

–

–

–

–

–

–

+

–

+

–

148.0912

  1. (+), included, (−) excluded, BL bilateral lesions, CS color score, DD D-dimer, MS menopausal status, PLT platelet count, SA solid areas