Table 2 Multivariable models for the prediction of tumor growth speed

LW_F8

1.00 (1.00–1.01)

1.00 (1.00–1.01)

.004

Radio_LL

2.22 (1.51–3.28)

2.40 (1.38–4.16)

<.001

LW_F87

0.77 (0.67–0.88)

0.77 (0.67–0.88)

<.001

Sex

2.37 (0.99–5.68)

2.38 (0.91–6.22)

.073

LW_F311

1903.06 (4.87–7.44 × 10⁵)

1903.06 (4.87–7.44 × 10⁵)

.016

COPD

5.78 (0.68–49.04)

1.16 × 1016 (0–5.20 × 1056)

.018

AUC

0.800 (0.717–0.883)

0.799 (0.717–0.883)

AUC

0.813 (0.735–0.890)

0.808 (0.727–0.888)

Accuracy

81.33%

81.33%

Accuracy

84.00%

84.00%

Specificity

66.67%

66.67%

Specificity

58.97%

58.97%

Sensitivity

86.49%

86.49%

Sensitivity

92.79%

92.79%

DR_F8

1.01 (1.00–1.02)

1.01 (1.00–1.02)

<.001

Radio_DR

2.27 (1.56–3.31)

2.42 (1.45–4.03)

<.001

DR_F87

0.80 (0.70–0.92)

0.78 (0.64–0.96)

<.001

Sex

2.47 (1.00–6.08)

2.54 (0.95–6.81)

.055

DR_F286

0.89 (0.80–0.99)

0.89 (0.78–1.00)

.042

COPD

6.47 (0.72–58.03)

2.41 × 10¹⁶ (0–1.17 × 10⁵⁷)

.006

DA_F311

836.55 (1.75–3.99 × 10⁶)

1499.14 (1.34–1.68 × 10⁶)

.038

AUC

0.820 (0.743–0.896)

0.819 (0.742–0.896)

AUC

0.837 (0.767–0.907)

0.828 (0.753–0.903)

Accuracy

73.33%

82.00%

Accuracy

84.00%

84.67%

Specificity

79.49%

61.54%

Specificity

69.23%

69.23%

Sensitivity

71.17%

89.19%

Sensitivity

89.19%

90.09%

LW_F44

66,379.49 (0.64–6.89 × 10⁹)

5.14 × 10⁵ (1.11–2.37 × 10⁵)

.020

Radio_Comb

2.31 (1.62–3.29)

2.49 (1.46–4.22)

<.001

LW_F311

1406.04 (2.53–7.83 × 10⁵)

2903.14 (1.66–5.06 × 10⁶)

.030

Sex

2.17 (0.88–5.35)

2.23 (0.85–5.84)

.008

DR_F8

1.01 (1.00–1.01)

1.01 (1.00–1.01)

.003

COPD

6.90 (0.76–62.40)

6.53 × 10¹⁶ (0–6.87 × 10⁵⁷)

.017

DR_F87

0.80 (0.70–0.93)

0.78 (0.63–0.98)

.005

DR_F296

0.85 (0.75–0.96)

0.83 (0.70–0.99)

.017

AUC

0.845 (0.770 to 0.920)

0.846 (0.772 to 0.920)

AUC

0.861 (0.791 to 0.931)

0.855 (0.781 to 0.929)

Accuracy

83.33%

84.00%

Accuracy

84.67%

84.67%

Specificity

79.49%

79.49%

Specificity

76.92%

76.92%

Sensitivity

84.68%

85.59%

Sensitivity

87.39%

87.39%