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. 2022 Mar 1;8(2):596–606. doi: 10.3390/tomography8020049

Table 2.

Patient characteristics in the training and validation cohorts.

Training Cohort
(n = 117)
Validation Cohort
(n = 46)
p-Value
Age 53.5 ± 10.2 50.1 ± 8.13 0.12
Surgery type 0.41
 Total mastectomy 42 12
 BCS 75 34
Radiation therapy 0.41
 No 44 11
 Yes 73 35
Endocrine therapy 0.10
 No 28 12
 Yes 78 41
Ipsilateral recurrence 1 *
No recurrence 110 43
Recurrence 7 3
DCIS size (cm) 2.52 ± 1.88 2.43 ± 1.94 0.62
DCIS nuclear grade 0.34
Non-high 58 19
High 59 27
Comedo necrosis 0.17
 Negative 41 11
Positive 76 35
ER 0.80
 Negative 29 12
Positive 88 34
PR 0.86
 Negative 34 20
Positive 72 33
HER2 0.23
 Negative 85 29
Positive 32 17
Ki-67 (%) 14.8 ± 14.7 10.9 ± 8.21 0.41
IHC_type 0.69
 Luminal 88 34
HER2-enriched 19 10
Basal-like 10 2
VNPG 0.22
 Low risk 31 8
 Non-low risk 86 38
COMET classification 0.33
Low risk 53 17
Non-low risk 64 29
Resection margin (2 mm) 0.85
 Negative 103 40
 Positive 14 6
Fibroglandular tissue (FGT) 0.79
 Almost entirely fat, Scattered 43 14
 Heterogeneous, Extreme 74 32
Background parenchymal enhancement (BPE) 0.70
 Minimal, Mild 93 34
 Moderate, Marked 24 12

Results are presented as number (percentage) for categorical variables and mean (SD) for continuous variables. p values were calculated using Pearson’s Chi-square test or Fisher’s exact test * for categorical variables and Wilcoxon rank sum test for continuous variables.