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.

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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
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article

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

Wei Liu, Nan Cui, Chenxu Guo, Kezheng Wang et al.
1 citations
Nuclear Medicine Communications
Radiomics and Machine Learning in Medical Imaging
0.40
article

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

Wei Liu, Nan Cui, Chenxu Guo, Kezheng Wang, Zhiyun Jiang, Wei Li, Yanmei Wang, Jiatong Li
article en
1 citations

Abstract

PET/CT-based radiomic signature nomogram enables a new method for preoperative prediction of LVSI and survival prognosis for patients with CSCC.

Nuclear Medicine CommunicationsVol. 45(12)
General Electric (United States) (US), Harbin Medical University (CN), Third Affiliated Hospital of Harbin Medical University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 34%
Radiomics and Machine Learning in Medical Imaging
0.40
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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 — Wei Liu, Nan Cui, et al. · Nuclear Medicine Communications (2024) | TGRS Research Map | TGRS