Classification of Breast Edema on T2-weighted imaging for predicting sentinel lymph node metastasis and biological behavior in breast cancer
Motivation: Predicting sentinel lymph node (SLN) metastasis and biological behavior in patients with early-stage breast cancer is important. Goal(s): To determine whether preoperative classification of breast edema can predict SLN metastasis and biological behavior in patients with early-stage breast cancer. Approach: Breast edema was scored on a scale of 1 to 4 on T2WI to explore additional predictive value of the breast edema score (BES) model. Results: The combined BES model significantly improved the predictive performance of SLN metastasis. Impact: Breast edema on T2-weighted imaging can be used to predict SLN metastasis in breast cancer, helping clinicians to develop individualized treatment plans and evaluate prognosis.
Authors
- Zhé Hóu (ORCID: https://orcid.org/0000-0001-7164-0580)
- Yunfeng Zhou (ORCID: https://orcid.org/0000-0003-4328-6646)
- Shijia Xie
- Mengxiao Liu (ORCID: https://orcid.org/0000-0002-5076-4960)
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
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/0408
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00