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
| | | | | | |
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)#
|
- PLR, positive likelihood ratio; NLR, negative likelihood ratio; DOR, diagnostic odds ratio; SVM, support vector machine; LR, linear regression; LDA, linear discriminant analysis; T2-FS, fat-suppressed T2; T1CE, contrast-enhanced T1; #, 0–25% of I2 values; ##, 25–50%; *, 50–75%; **, > 75%; # and ##, fixed-effects model; * and **, random-effects model