Radiomics nomogram based on ultrafast DCE-MRI and DWI: preoperative evaluation of axillary lymph node status in invasive breast cancer
Motivation: Accurately evaluating the ALN status is pivotal for both prognosis and treatment planning, especially in the context of decreasing axillary surgery. Goal(s): This retrospective study aimed to develop a radiomics nomogram for preoperative prediction of ALN status in clinical T1-2 stage invasive breast cancer patients. Approach: Radiomics features were extracted from ultrafast DCE-MRI and DWI, and clinical characteristics were incorporated to construct a radiomics nomogram. Results: A radiomics signature achieved AUCs of 0.831 and 0.821 in training and validation cohorts, respectively. The radiomics nomogram, incorporating this signature, multifocality, and MRI-reported ALN status, showed superior performance with AUCs of 0.890 and 0.905. Impact: The proposed nomogram could be valuable for noninvasively assessing ALN status, aiding prognosis and treatment planning while reducing the need for axillary surgery in breast cancer patients.
Authors
- Zheting Yang
- Fang Zeng (ORCID: https://orcid.org/0000-0002-6607-3494)
- Pu‐Yeh Wu (ORCID: https://orcid.org/0000-0002-9216-025X)
- Lin Lin (ORCID: https://orcid.org/0000-0003-2782-1848)
- Xiaoxue Tang (ORCID: https://orcid.org/0009-0006-4666-6782)
- Yunjing Xue (ORCID: https://orcid.org/0000-0003-4563-4763)
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/10.58530/2024/4612
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00