Multimodal MRI-based radiomics models for the preoperative prediction of lymphovascular space invasion of endometrial carcinoma
The combined model exhibited utility in preoperatively predicting LVSI in patients with EC, offering potential benefits for clinical decision-making.
Authors
- Zhou Huang (ORCID: https://orcid.org/0000-0002-7653-0476)
- Hailin Shen
- Chen Xue (ORCID: https://orcid.org/0000-0003-4062-9009)
- Dong Liu (ORCID: https://orcid.org/0000-0001-9140-6038)
- Chunhong Hu (ORCID: https://orcid.org/0000-0002-9513-9341)
- Ximing Wang (ORCID: https://orcid.org/0000-0002-1213-1003)
- Jinyu Huang (ORCID: https://orcid.org/0000-0001-7550-7912)
- Yu-feng Zhang
- Zhenguo Qiao (ORCID: https://orcid.org/0000-0002-9079-956X)
Institutions
- Kowloon Hospital (CN)
- Soochow University (CN)
- Suzhou Kowloon Hospital (CN)
- Suzhou Municipal Hospital (CN)
- Baoshan University (CN)
- First Affiliated Hospital of Soochow University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1186/s12880-024-01430-1
- Citations
- 8
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 3.23