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. 2022 Nov 12;149(8):5181–5192. doi: 10.1007/s00432-022-04467-3

Table 3.

Logistic analysis of Radscore and clinical features for evaluation of HAIC response in training cohort

Characteristics Univariate analysis Multivariate analysis
P HR (95% CI) P HR (95% CI)
Gender (male/female) 0.194 2.840 (0.586–13.746)
Age (y) (< 60/ ≥ 60) 0.758 0.994 (0.958–1.031)
Maximum tumor size (> 100 mm/ ≤ 100 mm) 0.909 0.944 (0.353–2.524)
BCLC stage (B/C) 0.270 0.294 (0.033–2.584)
Tumor number (N) (1/ > 1) 0.213 1.866 (0.698–4.983)
PVTT (none/I/II/III/IV) 0.270 0.294 (0.033–2.584)
HBV/others 0.989 0.775 (0.480–1.252)
Child–Pugh class (A/ B) 0.869 0.894 (0.237–3.372)
DCP (≤ 1000/> 1000) 0.264 0.647 (0.301–1.388)
ALT (≤ 40/> 40 U/L) 0.088 2.706 (0.859–8.526)
AST (≤ 40/> 40 U/L) 0.963 0.960 (0.164–5.607)
ALB (≤ 35 /> 35 g/L) 0.155 2.666 (0.688–10.332))
TBIL (≤ 20 /> 20 μmol/L) 0.728 1.180 (0.461–3.022)
PT (≤ 13/> 13 s) 0.438 0.686 (0.264–1.779)
AFP (≤ 20/20–200/ ≥ 200) 0.264 0.647 (0.301–1.388)
ALBI score 0.033 3.686 (1.104–12.300) 0.024 2.140 (1.10–4.15)
Radscore 0.005 130.95 (4.25–3644.14) 0.004 124.45 (5.86–1347)