Development of a predictive model for pneumothorax after microwave ablation based on radiomics and clinical baseline data
Compared with the individual models, the predictive model developed by combining radiomic and clinical baseline data demonstrated superior diagnostic performance in predicting pneumothorax after microwave ablation. By incorporating additional multimodal data and clinical factors in the future, this model has the potential to serve as a more accurate predictive tool in clinical practice.
Authors
- Lei Chen (ORCID: https://orcid.org/0000-0003-1548-8339)
- Xiao Xie (ORCID: https://orcid.org/0000-0002-5241-6900)
- C Meng (ORCID: https://orcid.org/0009-0009-0493-906X)
- Hong Li (ORCID: https://orcid.org/0000-0002-2460-8841)
- Kun Li (ORCID: https://orcid.org/0000-0002-1013-1325)
- Liang Zheng (ORCID: https://orcid.org/0000-0002-4897-1653)
Institutions
- Soochow University (CN)
- The First People's Hospital of Changzhou (CN)
- Changzhou Third People's Hospital (CN)
Publication Details
- Journal
- BMC Pulmonary Medicine
- Published
- 2025-08-15
- DOI
- https://doi.org/10.1186/s12890-025-03850-3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00