Application of MRI-Based Radiomics in Predicting Prognosis of Pediatric Brain Tumors
Central nervous system tumors are a common cause of non-accidental death in children.Although surgical treatment combined with radiotherapy and chemotherapy has become more and more standardized,some children with brain tumors still have recurrence,metastasis,postoperative complications,and reduced brain cognitive function after treatment and so on.In order to meet the needs of clinical individualized treatment and further improve the quality of life of children,the prediction model combined with clinical information and radiomics features has been widely used in the preoperative and postoperative evaluation of children with brain tumors,and the artificial intelligence method was used to predict survival rate,postoperative recurrence and metastasis,so as to assist clinical treatment decisions.At present,there have been many studies using this method in adult brain tumors,but the research on children's brain tumors is still insufficient.This article reviewed the research status and progress of radiomics prediction models in predicting the prognosis of children's brain tumors in recent years.