Research Article
A Nomogram Based on Radiomics with Mammography Texture Analysis for the Prognostic Prediction in Patients with Triple-Negative Breast Cancer
Table 2
Univariate and multivariate analysis of clinicopathological-radiomics characteristics for prognostic prediction in training cohort.
| | Variables | Univariate regression | Multivariate regression | | HR (95% CI) | value | HR (95% CI) | value |
| | Age (years) | 1.007 (0.951–1.066) | 0.812 | | | | BMI (kg/m2) | 0.950 (0.793–1.138) | 0.575 | | | | Menopausal status | 0.373 (0.101–1.377) | 0.139 | | | | pT stage | 2.199 (0.482–10.040) | 0.309 | | | | pN stage | 3.964 (1.258–12.490) | 0.019 | 3.898 (1.181–12.867) | 0.026 | | Histological type | 3.886 × 10−8 (0-Inf) | 0.998 | | | | WHO classification | 0.506 (0.065–3.956) | 0.516 | | | | Ki-67 status | 2.643 × 107 (0-inf) | 0.998 | | | | Type of breast surgery | 1.750 (0.226–13.560) | 0.592 | | | | Neoadjuvant chemotherapy | 1.774 (0.389–8.096) | 0.459 | | | | Adjuvant chemotherapy | 0.534 (0.069–4.138) | 0.548 | | | | Adjuvant radiotherapy | 1.117 (0.302–4.127) | 0.868 | | | | Radiomics score | 3.071 (1.949–4.840) | 1.331 × 10−6 | 3.052 (1.868–4.985) | 8.380 × 10−6 |
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; . HR: hazard ratio; BMI: body mass index. |
