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. 2022 Sep;12(9):4474–4487. doi: 10.21037/qims-22-189

Table 5. Predictive performance for identifying PD-L1 negative and positive NSCLC.

Parameters AUC (95% CI) P value Cutoff Sensitivity, % Specificity, % Comparison with a combined diagnosis
ADC (×10−3 mm2/s) 0.534 (0.416−0.649) 0.614
D (×10−3 mm2/s) 0.743 (0.630−0.836) <0.001# 1.140 97.22 50.00 Z=3.688, P<0.001#
D* (×10−3 mm2/s) 0.542 (0.424−0.657) 0.530
f (%) 0.667 (0.549−0.771) 0.007# 36.24 88.89 42.50 Z=4.626, P<0.001#
MTRasym (3.5 ppm) (%) 0.766 (0.655−0.856) <0.001# 3.570 47.22 95.00 Z=3.517, P<0.001#
SUVmax (g/cm3) 0.801 (0.693−0.884) <0.001# 5.900 88.89 60.00 Z=3.372, P=0.001#
MTV (cm3) 0.741 (0.628−0.835) <0.001# 16.57 55.56 92.50 Z=3.293, P=0.001#
TLG (g) 0.789 (0.680−0.874) <0.001# 71.75 58.33 85.00 Z=2.996, P=0.003#
Combined diagnosis 0.946 (0.869−0.985) <0.001# 86.11 92.50

The combined diagnosis represents MTRasym (3.5 ppm) + D + SUVmax. #, indicates statistically significant differences. PD-L1, programmed cell death-ligand 1; NSCLC, non-small cell lung cancer; ADC, apparent diffusion coefficient; D, diffusion coefficient; D*, pseudo diffusion coefficient; f, perfusion fraction; MTRasym (3.5 ppm), magnetization transfer ratio asymmetry at 3.5 ppm; SUVmax, maximum standardized uptake value; MTV, metabolic tumor volume; TLG, total lesion glycolysis.