Imaging-based classification and treatment response prediction of pediatric low-grade gliomas for precision child health

基于影像学的儿科低级别胶质瘤分类和治疗反应预测，以实现精准儿童健康

• 批准号: 465489
• 负责人: Khalvati Farzad
• 金额: $ 17.16万
• 依托单位: Hospital for Sick Children (Toronto)
• 依托单位国家: 加拿大
• 项目类别: Operating Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-03-01 至 2023-08-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=465489&lang=en
• 关键词: Artificial Intelligence; Genetic Marker Prediction; Magnetic Resonance Imaging; Medical Image Analysis; Pediatric Cancer Research; Pediatric Low-Grade Glioma; Precision Child Health; Treatment Response Prediction

Pediatric low-grade gliomas (pLGG) are the most common brain tumours in children. With surgical excision as the main treatment, and chemotherapy and radiation as additional treatment options, death from these tumours is relatively rare, but the 10-year pr

小儿低级别胶质瘤（pLGG）是儿童中最常见的脑肿瘤。以手术切除为主要治疗手段，辅以化疗和放疗，这些肿瘤的死亡率相对较低，但10年生存率仍高于10年生存率。