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

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
项目状态：
已结题
起止时间：
2022-03-01 至 2023-08-01
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

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英文摘要
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
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