PET/CT deep learning prognosis for treatment decision support in esophageal squamous cell carcinoma.
Jiangdian SongJie ZhangGuichao LiuZhexu GuoHongxian LiaoWenhui FengWenxiang LinLei LiYi ZhangYuxiang YangBin LiuRuibang LuoHao ChenSiyun WangJian-Hua LiuPublished in: Insights into imaging (2024)
ESCC is associated with a poor prognosis and unclear ideal treatments. ESCCPro predicts the survival of patients with ESCC and the expected benefit from SA. ESCCPro improves clinicians' stratification of patients' prognoses.
Keyphrases
- poor prognosis
- pet ct
- deep learning
- long non coding rna
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- positron emission tomography
- palliative care
- peritoneal dialysis
- computed tomography
- machine learning
- artificial intelligence
- patient reported
- replacement therapy