A deep learning model combining circulating tumor cells and radiological features in the multi-classification of mediastinal lesions in comparison with thoracic surgeons: a large-scale retrospective study
This study showed the feasibility and effectiveness of CNN model combing CT images and CTCs levels in predicting the diagnosis of mediastinal lesions. It could serve as a useful method to assist thoracic surgeons in improving diagnostic accuracy and has the potential to make management decisions.
Authors
- Minwei Bao
- Feng Wang
- Guangxue Wang (ORCID: https://orcid.org/0000-0003-3846-4049)
- Fan Yang (ORCID: https://orcid.org/0009-0008-5468-4782)
- Lei Zhu (ORCID: https://orcid.org/0000-0003-1685-7968)
- Tao Bo (ORCID: https://orcid.org/0000-0001-9083-4639)
Institutions
- Tongji University (CN)
- Shanghai Pulmonary Hospital (CN)
- Shanghai East Hospital (CN)
Publication Details
- Journal
- BMC Medicine
- Published
- 2025-05-07
- DOI
- https://doi.org/10.1186/s12916-025-04104-z
- Citations
- 4
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 6.07