Radiomics of multi-parametric MRI for the prediction of lung metastasis in soft-tissue sarcoma: a feasibility study
This feasibility study evaluated predictive values of multi-parametric MRI for the prediction of lung metastasis, and proposed a nomogram model to potentially facilitate the individualized treatment decision-making for STSs.
Authors
- Zhibin Yue
- Yahong Luo (ORCID: https://orcid.org/0000-0002-0241-3007)
- Yan Wang (ORCID: https://orcid.org/0000-0002-4006-5859)
- Xiaoyu Wang (ORCID: https://orcid.org/0000-0003-4372-1150)
- Hongbo Wang (ORCID: https://orcid.org/0000-0001-8530-2339)
- Yue Hu (ORCID: https://orcid.org/0000-0002-9191-7433)
- Wenyan Jiang (ORCID: https://orcid.org/0009-0004-6647-605X)
Institutions
- Liaoning University (CN)
- First Affiliated Hospital of Henan University of Traditional Chinese Medicine (CN)
- Liaoning Cancer Hospital & Institute (CN)
- Jinzhou Medical University (CN)
- China Medical University (CN)
Publication Details
- Journal
- Cancer Imaging
- Published
- 2024-09-05
- DOI
- https://doi.org/10.1186/s40644-024-00766-9
- Citations
- 5
- Primary Topic
- Sarcoma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.09
Funders
- National Natural Science Foundation of China
- Dalian University of Technology
- Natural Science Foundation of Liaoning Province
- China Medical University