Radiomics-based decision support tool with ground-glass opacity status of 5-year survival prediction for early-stage non-small cell lung cancer
A combined model, integrating the GGO status and Rad-score may help predict the prognosis of patients with early NSCLC more accurately, with a higher probability of outcome than a GGO model.
Authors
- Nobuki Imano (ORCID: https://orcid.org/0000-0002-7668-1506)
- Daisuke Kawahara (ORCID: https://orcid.org/0000-0002-8472-9821)
- Ikuno Nishibuchi (ORCID: https://orcid.org/0000-0001-5873-4822)
- Yuji Murakami (ORCID: https://orcid.org/0000-0003-3596-3010)
- R. ISOBE
Institutions
- Hiroshima University (JP)
Publication Details
- Journal
- Reports of Practical Oncology & Radiotherapy
- Published
- 2025-10-03
- DOI
- https://doi.org/10.5603/rpor.107744
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00