Development and validation of a CT-based deep learning radiomics signature to predict lymph node metastasis in oropharyngeal squamous cell carcinoma: a multicenter study.
Tianzi JiangHexiang WangJie LiTongyu WangXiaohong ZhanJingqun WangNing WangPei NieShiyu CuiXindi ZhaoDapeng HaoPublished in: Dento maxillo facial radiology (2024)
This study presents a novel combined model integrating clinical factors with deep learning radiomics, significantly enhancing preoperative LNM prediction in OPSCC.
Keyphrases
- lymph node metastasis
- deep learning
- squamous cell carcinoma
- papillary thyroid
- artificial intelligence
- convolutional neural network
- computed tomography
- machine learning
- contrast enhanced
- patients undergoing
- locally advanced
- magnetic resonance imaging
- positron emission tomography
- dual energy
- magnetic resonance
- rectal cancer
- pet ct