An updated systematic review of radiomics in osteosarcoma: utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics.

Jingyu ZhongYangfan HuGuangcheng ZhangYue XingDefang DingXiang GeZhen PanQingcheng YangQian YinHuizhen ZhangHuan ZhangWeiwu Yao

Published in: Insights into imaging (2022)

The quality of osteosarcoma radiomics studies is insufficient. More investigation is needed before using radiomics to optimize osteosarcoma treatment. CLAIM is recommended to guide the design and reporting of radiomics research.

Keyphrases

lymph node metastasis
systematic review
contrast enhanced
deep learning
magnetic resonance imaging
emergency department
machine learning
magnetic resonance
randomized controlled trial
artificial intelligence
convolutional neural network
quality improvement
combination therapy