Prediction of pathological risk subtypes of thymic anterior mediastinal cysts and thymic epithelial tumors based on CT radiomics and deep learning methods: a retrospective study
In this study, a model for predicting pathological risk classification of thymic anterior mediastinal cysts and thymic epithelial tumors was developed by combining radiomics and deep learning, and its superior prediction was confirmed in verification. The results show that the model is capable of preoperatively assessing the pathological risk classification of patients, which provides strong support for the need of individual treatment strategies.
Authors
- W Zhang
- Xiaojiang Zhao
- Jun Lyu (ORCID: https://orcid.org/0000-0002-2237-8771)
- Yun Ding (ORCID: https://orcid.org/0000-0002-7242-2013)
- Qingsheng Liu (ORCID: https://orcid.org/0000-0003-2721-4618)
- Daqiang Sun (ORCID: https://orcid.org/0009-0000-6602-357X)
Institutions
- Tianjin University (CN)
- Tianjin Chest Hospital (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-11-07
- DOI
- https://doi.org/10.1186/s40001-025-03169-z
- Primary Topic
- Myasthenia Gravis and Thymoma
- Type
- article
- Field-Weighted Citation Impact
- 0.00