TABLE III. Classification Results of Each Feature and SVM Classifiers Using Various Combinations of Features as Input Features.
Features | SEN | SPC | AUC [95% CI] | |
---|---|---|---|---|
Pleural line | TPL | 0.71 | 0.69 | 0.68 [0.47–0.88] |
RPL | 0.86 | 0.77 | 0.81 [0.64–0.99] | |
MPLI | 0.43 | 0.92 | 0.69 [0.49–0.89] | |
SDPLI | 0.86 | 0.54 | 0.65 [0.43–0.88] | |
SVM | 0.86 | 0.93 | 0.87 [0.72–1.00] | |
B-lines | NBL | 0.86 | 0.92 | 0.91 [0.80–1.00] |
AWBL | 0.86 | 0.92 | 0.91 [0.80–1.00] | |
ACBL | 0.93 | 0.46 | 0.70 [0.49–0.90] | |
AIBL | 0.93 | 0.62 | 0.74 [0.54–0.94] | |
SVM | 0.93 | 0.86 | 0.94 [0.86–1.00] | |
SVM (PL+BL) | 0.93 | 1.00 | 0.96 [0.88–1.00] |
TPL = thickness of pleural line, RPL = roughness of pleural line, MPLI = mean value of pleural line intensity, SDPLI = SD of pleural line intensity, NBL = number of B-lines, AWBL = accumulated width of B-lines, ACBL = attenuation coefficient of B-lines, AIBL = accumulated intensity of B-lines. SVM = support vector machine, PL = pleural line, BL = B-lines. SEN = sensitivity, SPC = specificity, AUC = area under the receiver operating characteristics curve, CI = confidence level.