Noninvasive Assessment of Vascular Endothelial Growth Factor and Prognosis in Gastric Cancer Through Radiomic Features
The findings underscore the potential of [18F] FDG PET/CT radiomics in transforming the management of GC by providing a noninvasive means to assess tumor aggressiveness and prognosis through VEGF status. This model could facilitate earlier and more tailored therapeutic interventions, potentially improving survival outcomes in a disease marked by typically late diagnosis and limited treatment success.
Authors
- Hao Feng (ORCID: https://orcid.org/0000-0001-5420-1690)
- Shitong Yu (ORCID: https://orcid.org/0000-0001-5443-2886)
- Taojun Zhang
- Kangneng Zhou (ORCID: https://orcid.org/0000-0001-9102-9527)
- Zhen Han (ORCID: https://orcid.org/0000-0003-4007-3995)
- Weicai Huang (ORCID: https://orcid.org/0000-0002-8046-1151)
- Guoxin Li (ORCID: https://orcid.org/0000-0003-2773-7048)
- Benjamin Yixing Xu (ORCID: https://orcid.org/0000-0003-1573-988X)
- Hao Chen (ORCID: https://orcid.org/0000-0002-8400-3780)
- Tao Chen (ORCID: https://orcid.org/0000-0002-1797-0359)
- Hao Liu (ORCID: https://orcid.org/0000-0002-0237-2735)
- Zepang Sun (ORCID: https://orcid.org/0000-0002-4922-1555)
- Jiang Yu
- Wenlan Zhou (ORCID: https://orcid.org/0000-0003-3074-7706)
- Zhiwei Liu
- Qingyu Yuan
- Yan Jiang (ORCID: https://orcid.org/0009-0004-3544-3642)
Institutions
- Nankai University (CN)
- Saybrook University (US)
- First Affiliated Hospital of Guangzhou Medical University (CN)
- Nanfang Hospital (CN)
- Beijing Tsinghua Chang Gung Hospital (CN)
- Wake Forest University (US)
- Southern Medical University (CN)
- Guangzhou Medical University (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Clinical and Translational Gastroenterology
- Published
- 2024-12-30
- DOI
- https://doi.org/10.14309/ctg.0000000000000802
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00