Predictive value of 18F-FDG PET/CT metabolic heterogeneity parameter combined with peritumoral adipose tissue abnormality and cN stage in perineural invasion of colorectal cancer: a retrospective analysis
<sup>18</sup>F-FDG PET/CT demonstrated predictive value for PNI in CRC. Additionally, the CV, PAT grade, and cN stage were identified as independent risk factors for PNI. The nomogram model exhibited strong predictive performance.
Authors
- Jian He (ORCID: https://orcid.org/0000-0002-1426-7799)
- Shuangxiu Tan (ORCID: https://orcid.org/0009-0007-1355-1767)
- Aimei Li (ORCID: https://orcid.org/0000-0001-7908-9391)
- Qing Sun (ORCID: https://orcid.org/0000-0003-3375-3597)
- Q Y Chen (ORCID: https://orcid.org/0000-0003-0716-190X)
- Jing Chen (ORCID: https://orcid.org/0000-0002-7611-4173)
- Jiaxin Yin
- Lian Wang (ORCID: https://orcid.org/0000-0003-1088-7103)
- Di Liang (ORCID: https://orcid.org/0000-0003-2569-1605)
Institutions
- Nanjing Drum Tower Hospital (CN)
- Wuhan University of Science and Technology (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-09-24
- DOI
- https://doi.org/10.21037/qims-2025-708
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00