Preoperative Prediction of Breast Cancer Histological Grade Using Intratumoral and Peritumoral Radiomics Features from T2WI and DWI MR Sequences
The intra- and peritumoral radiomics methodologies using T2WI and DWI MR sequences could be utilized to assess histological grade for breast cancer, particularly with the (T2WI + DWI)-ITR + 3mmPTR radiomics model demonstrating significant potential for clinical application.
Authors
- Yaping Wu (ORCID: https://orcid.org/0000-0002-2979-5332)
- Qingxia Wu (ORCID: https://orcid.org/0000-0003-4888-8830)
- Shunian Li
- Jun Liao (ORCID: https://orcid.org/0000-0002-2017-5065)
- Fengshan Yan
- Yunxia Wang (ORCID: https://orcid.org/0000-0003-1951-942X)
- Meiyun Wang (ORCID: https://orcid.org/0000-0003-4454-5005)
- Yiyan Shang
- Yaxin Guo
- Hongna Tan
Institutions
- Henan Provincial People's Hospital (CN)
- United Imaging Healthcare (China) (CN)
- Zhengzhou People's Hospital (CN)
Publication Details
- Journal
- Breast Cancer Targets and Therapy
- Published
- 2024-12-01
- DOI
- https://doi.org/10.2147/bctt.s487988
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81