Risk stratification of thymic epithelial tumors based on peritumor CT radiomics and semantic features
Peritumor region of TET may suggest histopathological and invasive risk. Peritumor radiomic and semantic features allow classification by Masaoka-Koga staging (AUC: 0.958). Peritumor radiomic and semantic features enable the classification of histopathological risk (AUC: 0.857).
Authors
- Xueqian Xie (ORCID: https://orcid.org/0000-0002-6669-0097)
- Zhang Lin (ORCID: https://orcid.org/0000-0002-9680-8121)
- Zhihan Xu (ORCID: https://orcid.org/0000-0003-4057-8299)
- Qinyao Li (ORCID: https://orcid.org/0009-0007-3747-0697)
- Wang Ai (ORCID: https://orcid.org/0009-0007-9606-9094)
- Zhijie Pan (ORCID: https://orcid.org/0000-0002-7605-780X)
- Yan Feng (ORCID: https://orcid.org/0000-0002-2522-2115)
- Yanfei Hu
Institutions
- University of Shanghai for Science and Technology (CN)
- Shanghai Jiao Tong University (CN)
- Shanghai Chest Hospital (CN)
- Jiading District Central Hospital (CN)
- Shanghai First People's Hospital (CN)
- Siemens (China) (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2024-10-22
- DOI
- https://doi.org/10.1186/s13244-024-01798-2
- Citations
- 3
- Primary Topic
- Myasthenia Gravis and Thymoma
- Type
- article
- Field-Weighted Citation Impact
- 1.11
Funders
- National Natural Science Foundation of China
- Shanghai Jiao Tong University
- Center for Clinical and Translational Research