Differentiation Between Phyllodes Tumor and Fibroadenoma of the Breast: A Radiomics Prediction Model Based on Full-Field Digital Mammography & Digital Tomosynthesis
Radiomics analysis based on FFDM and DBT shows promise in differentiating phyllodes tumors from fibroadenomas.
Authors
- Sina Wang (ORCID: https://orcid.org/0000-0002-2159-7921)
- Fengxia Zeng
- Genggeng Qin (ORCID: https://orcid.org/0000-0002-7563-3924)
- Chanjuan Wen
- Jun Yang (ORCID: https://orcid.org/0000-0001-8728-3733)
- Dan-Ping Huang
- Jialing Liu (ORCID: https://orcid.org/0000-0001-5554-0870)
- Weiguo Chen (ORCID: https://orcid.org/0000-0003-1552-0511)
- Hui Zeng (ORCID: https://orcid.org/0009-0003-9780-7459)
- Weimin Xu (ORCID: https://orcid.org/0000-0001-9815-2528)
- Shengwu Liao
Institutions
- Nanfang Hospital (CN)
- Dongguan People’s Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Technology in Cancer Research & Treatment
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1177/15330338241289474
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- National Natural Science Foundation of China
- Southern Medical University
- Nanfang Hospital