Table 2 The details of each predictive model
From: 18F-FDG PET/CT based model for predicting malignancy in pulmonary nodules: a meta-analysis
Number of factors | Items of predictive factors | |
|---|---|---|
Chen [11] | 7 | Age, density, lesion-lung border, lobulation, concentrated vessel, pleural retraction, PET |
Cheng [12] | 6 | Age, vacuole, lobulation, calcification, diameter, PET |
Guo [13] | 7 | Age, diameter, smoking history, spiculation, lobulation, cavity, PET |
Honguero Martínez [14] | 4 | Age, sex, malignant history, PET |
Lin [15] | 5 | Age, lobulation, concentrated vessel, pleural retraction, PET |
Liu [16] | 3 | Age, spiculation, PET |
Ma [17] | 4 | Age, concentrated vessel, calcification, PET |
Pei [18] | 7 | Age, sex, size, spiculation, PET, border, concentrated vessel |
Tian [19] | 6 | Age, smoking, gender, diameter, PET, spiculation |
van Gómez López [20] | 2 | Age, PET |
Wang [21] | 5 | Age, lobulation, concentrated vessel, pleural retraction, PET |
Xiang [22] | 5 | Age, PET, lobulation, calcification, spiculation |
Zhang [23] | 3 | Calcification, concentrated vessel, PET |