Assessment of intratumor heterogeneity in non-small cell lung cancer by unsupervised K-means clustering of radiomics features based on multiphase computed tomography images
Multiphase CT-based unsupervised radiomics analysis effectively revealed ITH in NSCLC, especially on UECT images. ITH-Radscore demonstrated potential as a noninvasive imaging biomarker associated with the clinicopathological characteristics and immunotherapy outcomes of NSCLC, offering valuable insights for precision oncology.
Authors
- Jinzhi Fang
- E Linning
- Jing Yang (ORCID: https://orcid.org/0000-0002-7439-4802)
- Jiangfeng Du (ORCID: https://orcid.org/0000-0002-8533-5509)
- Xinzheng Wang (ORCID: https://orcid.org/0000-0001-8757-8697)
- Huijing Feng (ORCID: https://orcid.org/0000-0001-5099-2739)
- Ronghua Wang (ORCID: https://orcid.org/0000-0003-3968-8212)
Institutions
- Shanxi Medical University (CN)
- ShenZhen People’s Hospital (CN)
- First Hospital of Shanxi Medical University (CN)
- Shanxi Academy of Medical Sciences (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-10-29
- DOI
- https://doi.org/10.21037/qims-2024-2739
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00