Multicenter study reveals predictive models utilizing MRI and radiomics for triple-negative breast cancer, suggesting individualized treatment approaches.
Motivation: Previous studies on triple-negative breast cancer(TNBC) have primarily focused on the characteristics of the tumor itself, with less emphasis on the surrounding tissue, and have mostly been conducted at a single center using a single sequence of analysis. Goal(s): Multi-sequence MRI intratumoral combined with peritumoral radiomics models can identify TNBC , providing individualized treatment plans for patients and improving their prognosis. Approach: Using image genomics methods, eight predictive models for TNAC were constructed, validated internally and externally, and the optimal model was finally selected. Results: The model constructed based on multiparametric MRI intratumor combined with peritumor radiomics features can better predict TNBC and non-TNBC. Impact: This model can predict TNBC in a non-invasive and early manner, which is of great significance to the treatment and prognosis of patients.
No takes yet. Share an insight, caveat, or question.
Yang et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: