MRI-derived radiomics assessing tumor-infiltrating macrophages enable prediction of immune-phenotype, immunotherapy response and survival in glioma.
Di ChenRui ZhangXiaoming HuangChunxia JiWei XiaYing QiXinyu YangLishuang LinJing WangHaixia ChengWeijun TangJinhua YuDave S B HoonJun ZhangXin GaoYu YaoPublished in: Biomarker research (2024)
The radiomic model could allow for non-invasive assessment of the absolute density of TAM from MRI images in HGG patients. Of note, our RIB model is the first immunological radiomic model confirmed to have the ability to predict survival benefits from DC vaccine in gliomas, thereby providing a novel tool to inform treatment decisions and monitor patient treatment course by radiomics.
Keyphrases
- contrast enhanced
- end stage renal disease
- magnetic resonance imaging
- chronic kidney disease
- ejection fraction
- newly diagnosed
- deep learning
- lymph node metastasis
- high grade
- peritoneal dialysis
- squamous cell carcinoma
- prognostic factors
- computed tomography
- dendritic cells
- immune response
- machine learning
- patient reported outcomes
- combination therapy
- optical coherence tomography