Incorporating intra‐fractional delta‐radiomics from 4DCT improves local recurrence prediction
The incorporation of temporal information from 4DCT significantly improved the model performance than that of the conventional method based on 3DCT. A novel ADRS approach based on intra-fractional delta-radiomics was proposed and validated on the LR risk prediction for patients with NSCLC. The improved accuracy of risk management can be beneficial to assist the personalized optimization of treatment and follow-up protocols, achieving a balance among cost, efficiency, and outcome.
Authors
- Qing Lü (ORCID: https://orcid.org/0000-0001-7717-391X)
- Yasi Zhang (ORCID: https://orcid.org/0009-0005-8882-6521)
- Yibao Zhang (ORCID: https://orcid.org/0000-0003-3658-0687)
- Tian Li
- Junyu Li (ORCID: https://orcid.org/0000-0002-2966-7541)
- Huiming Yu
- Rong Yu (ORCID: https://orcid.org/0009-0008-0816-9587)
- Xinhui Fu (ORCID: https://orcid.org/0000-0003-1821-2995)
- Yin Jiang (ORCID: https://orcid.org/0000-0003-0847-4350)
- Jiayi Yu (ORCID: https://orcid.org/0000-0001-8107-8376)
- Shun Zhou
- Anhui Shi
Institutions
- Hebei Medical University (CN)
- Hong Kong Polytechnic University (HK)
- Peking University (CN)
- Peking University Cancer Hospital (CN)
- Beihang University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-11-25
- DOI
- https://doi.org/10.1002/mp.70174
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00