Table 3 The performance evaluation of the datasets and subgroups
Dataset | No. of studies | Sensitivity | Specificity | PLR | NLR | DOR |
|---|---|---|---|---|---|---|
Testing set | 3 | 0.76 (0.64–0.86)# | 0.82 (0.72–0.89)## | 3.90 (2.49–6.11)## | 0.29 (0.19–0.46)# | 12.88 (5.99–27.71)## |
Validation set | 12 | 0.79 (0.74–0.84)# | 0.77 (0.73–0.81)# | 3.47 (2.91–4.14)# | 0.27 (0.22–0.33)# | 12.92 (9.34–17.87)# |
Overall validation group | Â | Â | Â | Â | Â | Â |
Magnetic field strength (T) | ||||||
1.5 T | 7 | 0.81 (0.75–0.87)# | 0.76 (0.71–0.81)# | 3.38 (2.70–4.24)# | 0.25 (0.18–0.34)# | 13.15 (8.37–20.66)# |
3.0 T | 5 | 0.86 (0.78–0.89)** | 0.76 (0.70–0.82)# | 3.46 (2.69–4.46)# | 0.23 (0.11–0.48)** | 17.78 (10.54–30.00)## |
Sequence | ||||||
T2-FS | 3 | 0.67 (0.54–0.79)# | 0.80 (0.71–0.88)# | 3.43 (2.22–5.29)## | 0.41 (0.28–0.59)# | 8.01 (4.01–16.00)## |
T1CE | 8 | 0.80 (0.75–0.84)## | 0.80 (0.75–0.84)# | 4.04 (3.25–5.02)# | 0.25 (0.19–0.31)## | 16.27 (11.08–23.89)# |
DWI | 2 | 0.76 (0.60–0.89)# | 0.75 (0.63–0.85)# | 3.10 (1.96–4.91)# | 0.31 (0.17–0.56)# | 10.00 (3.97–25.17)# |
Algorithm | ||||||
SVM | 5 | 0.77 (0.71–0.82)** | 0.79 (0.73–0.83)## | 3.67 (2.87–4.70)# | 0.30 (0.19–0.47)* | 13.43 (8.62–20.93)## |
LR | 4 | 0.70 (0.58–0.81)# | 0.78 (0.68–0.85)# | 3.20 (2.17–4.71)# | 0.37 (0.26–0.55)# | 8.60 (4.44–16.66)# |
LDA | 3 | 0.83 (0.77–0.88)# | 0.75 (0.68–0.81)# | 3.35 (2.58–4.35)## | 0.22 (0.16–0.31)# | 14.78 (9.01–24.26)# |
Segmentation | ||||||
2D | 4 | 0.77 (0.70–0.83)## | 0.76 (0.70–0.82)# | 3.30 (2.55–4.28)# | 0.29 (0.21–0.39)# | 11.46 (7.05–18.62)# |
3D | 9 | 0.80 (0.75–0.84)## | 0.78 (0.73–0.82)# | 3.56 (2.88–4.39)# | 0.26 (0.21–0.34)## | 13.52 (9.27–19.72)# |