Utilizing temporal information to assess metabolic heterogeneity: a study of 18F-FDG dynamic positron emission tomography as a treatment response biomarker in small cell lung cancer
The TAC feature (<i>Slope</i> <sub>10-30</sub>) in dynamic PET imaging may serve as an indicative predictor of treatment response in ES-SCLC, suggesting its utility in guiding treatment personalization by assessing metabolic heterogeneity between tumors.
Authors
- Xinghua He
- Xinyu Yang (ORCID: https://orcid.org/0000-0003-0096-921X)
- Tao Sun (ORCID: https://orcid.org/0000-0001-8062-3432)
- Maoqun Zhang
- Ying Liang (ORCID: https://orcid.org/0000-0001-7824-5399)
- Rongliang Wu (ORCID: https://orcid.org/0000-0002-5586-0628)
- Jiuhui Zhao
- Zhiheng Yao
- Dehua Huang (ORCID: https://orcid.org/0000-0001-6746-5249)
- Yubo Wang (ORCID: https://orcid.org/0009-0004-7125-9762)
Institutions
- Sun Yat-sen University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Fifth Affiliated Hospital of Sun Yat-sen University (CN)
- Shenzhen Institutes of Advanced Technology (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-21
- DOI
- https://doi.org/10.21037/qims-24-1687
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36