Prediction of iodine-125 seed implantation efficacy in lung cancer using an enhanced CT-based nomogram model
A combined nomogram model was successfully developed to assess the efficacy of iodine-125 seed implantation in lung cancer patients, demonstrating good clinical predictive performance and high clinical value.
Authors
- Dehui Liu (ORCID: https://orcid.org/0009-0005-4824-6936)
- Xiaoli Lan (ORCID: https://orcid.org/0000-0002-7263-7399)
- Wei Zhang (ORCID: https://orcid.org/0000-0002-6385-9846)
- Deng Guibin
- Shen Xiaolan
Institutions
- China Three Gorges University (CN)
- Second Hospital of Yichang (CN)
- State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN)
- Yichang Central People's Hospital (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1371/journal.pone.0313570
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40