Automated Prediction of Neoadjuvant Chemoradiotherapy Response in Locally Advanced Cervical Cancer Using Hybrid Model-Based MRI Radiomics.
Hua YangYinan XuMohan DongYing ZhangJie GongDong HuangJunhua HeLichun WeiShi-Gao HuangLina ZhaoPublished in: Diagnostics (Basel, Switzerland) (2023)
The proposed hybrid model can predict the radiotherapy response of patients with LACC, which might help radiation oncologists create personalized treatment plans for patients.
Keyphrases
- locally advanced
- rectal cancer
- neoadjuvant chemotherapy
- squamous cell carcinoma
- radiation therapy
- phase ii study
- end stage renal disease
- ejection fraction
- contrast enhanced
- newly diagnosed
- chronic kidney disease
- machine learning
- peritoneal dialysis
- radiation induced
- clinical trial
- lymph node metastasis
- computed tomography
- health insurance
- patient reported outcomes
- open label