A Nomogram Based on Radiomics with Mammography Texture Analysis for the Prognostic Prediction in Patients with Triple-Negative Breast Cancer

Table 1

Clinical and pathological characteristics of patients in training and validation cohorts.

	Training cohort (n = 133)	Validation cohort (n = 67)	value
Age (years, mean ± SD)	49.22 ± 9.87	47.79 ± 10.10	0.196
BMI (kg/m [2], mean ± SD)	23.59 ± 3.32	22.88 ± 2.63	0.232
Follow-up (months, mean ± SD)	54.98 ± 21.72	54.39 ± 22.63	0.701
Menopausal status			0.889
Premenopausal	72	39
Postmenopausal	60	29
T Stage			0.651
T1	38	23
T2-4	92	42
Tx	3	2
N stage			0.452
N0	95	44
N1-3	37	23
WHO classification			0.276
1	0	0
2	6	6
3	108	47
NA	19	14
Ki-67 status			0.710
<14%	7	2
≥14%	126	65
Type of breast surgery			0.928
Mastectomy	120	60
Lumpectomy	6	4
NA	7	3
Neoadjuvant chemotherapy			1.000
Yes	13	7
No	120	60
Adjuvant chemotherapy			1.000
Yes	127	64
No	6	3
Adjuvant radiotherapy			0.468
Yes	30	19
No	103	48

SD: standard deviation; BMI: body mass index; NA: not available.