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. 2022 Jan 3;14(1):216. doi: 10.3390/cancers14010216

Table 2.

Prognostic models (Lasso logistic regression) of the 15 imaging features (Table S4) without and with clinical features (Table S2), predicting locoregional recurrence-free survival, distant metastasis-free survival and overall survival, with the amount of patients (Table S7). The amount of features and the area under the curve (AUC) with the standard deviation (SD) is tabulated.

Logistic Regression Models
Outcome Features Patients Imaging Features Clinical Parameters + Imaging Features
Features AUC SD Features AUC SD
Locoregional recurrence-free survival PRE 47 15 0.79 0.16 22 0.79 0.16
INTRA 47 15 0.49 0.09 22 0.47 0.09
Delta 47 15 0.76 0.14 22 0.77 0.14
ALL 47 45 0.81 0.14 52 0.80 0.15
Distant metastasis PRE 57 15 0.79 0.12 22 0.84 0.18
INTRA 57 15 0.63 0.15 22 0.81 0.17
Delta 57 15 0.52 0.12 22 0.82 0.15
ALL 57 45 0.86 0.15 52 0.88 0.13
Overall survival PRE 57 15 0.62 0.18 22 0.82 0.12
INTRA 57 15 0.46 0.13 22 0.64 0.15
Delta 57 15 0.48 0.11 22 0.66 0.15
ALL 57 45 0.53 0.17 52 0.69 0.16