Prediction of preoperative lymph-vascular space invasion and survival outcomes of cervical squamous cell carcinoma by utilizing 18F-FDG PET/CT imaging at early stage
PET/CT-based radiomic signature nomogram enables a new method for preoperative prediction of LVSI and survival prognosis for patients with CSCC.
Authors
- Wei Liu (ORCID: https://orcid.org/0000-0002-8925-5450)
- Nan Cui (ORCID: https://orcid.org/0009-0001-6364-8889)
- Chenxu Guo (ORCID: https://orcid.org/0000-0002-9651-4203)
- Kezheng Wang (ORCID: https://orcid.org/0000-0001-8776-5812)
- Zhiyun Jiang
- Wei Li (ORCID: https://orcid.org/0000-0003-4589-2711)
- Yanmei Wang (ORCID: https://orcid.org/0009-0004-8323-1791)
- Jiatong Li (ORCID: https://orcid.org/0000-0001-7705-2296)
Institutions
- General Electric (United States) (US)
- Harbin Medical University (CN)
- Third Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Nuclear Medicine Communications
- Published
- 2024-10-02
- DOI
- https://doi.org/10.1097/mnm.0000000000001909
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40