A Preoperative CT-based Multiparameter Deep Learning and Radiomic Model with Extracellular Volume Parameter Images Can Predict the Tumor Budding Grade in Rectal Cancer Patients
The DLRM can be used to evaluate the TB grade of rectal cancer patients in a noninvasive manner before surgery, thereby providing support for clinical treatment decision-making for these patients.
Authors
- Zijian Zhuang (ORCID: https://orcid.org/0000-0003-0486-209X)
- Lirong Zhang (ORCID: https://orcid.org/0000-0002-3948-1193)
- Jiang Li (ORCID: https://orcid.org/0000-0001-5596-9159)
- Dongqing Wang (ORCID: https://orcid.org/0000-0003-2801-3033)
- Haitao Zhu
- Xi Tang (ORCID: https://orcid.org/0000-0001-7614-5327)
Institutions
- Jiangsu University (CN)
- Affiliated Hospital of Jiangsu University (CN)
Publication Details
- Journal
- Academic Radiology
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1016/j.acra.2025.02.028
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 6.80