A multicenter study on preoperative prediction of TNBC based on multi-parameter MRI intratumoral combined with peritumoral radiomics
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.
Authors
- Mingtai Cao
- Airu Yang
- Xin-Yi Liu (ORCID: https://orcid.org/0000-0003-2722-4795)
- Yuntai Cao (ORCID: https://orcid.org/0000-0002-1747-4232)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/1407
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00