BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023 (2407.08855v2)
Abstract: Pediatric central nervous system tumors are the leading cause of cancer-related deaths in children. The five-year survival rate for high-grade glioma in children is less than 20%. The development of new treatments is dependent upon multi-institutional collaborative clinical trials requiring reproducible and accurate centralized response assessment. We present the results of the BraTS-PEDs 2023 challenge, the first Brain Tumor Segmentation (BraTS) challenge focused on pediatric brain tumors. This challenge utilized data acquired from multiple international consortia dedicated to pediatric neuro-oncology and clinical trials. BraTS-PEDs 2023 aimed to evaluate volumetric segmentation algorithms for pediatric brain gliomas from magnetic resonance imaging using standardized quantitative performance evaluation metrics employed across the BraTS 2023 challenges. The top-performing AI approaches for pediatric tumor analysis included ensembles of nnU-Net and Swin UNETR, Auto3DSeg, or nnU-Net with a self-supervised framework. The BraTSPEDs 2023 challenge fostered collaboration between clinicians (neuro-oncologists, neuroradiologists) and AI/imaging scientists, promoting faster data sharing and the development of automated volumetric analysis techniques. These advancements could significantly benefit clinical trials and improve the care of children with brain tumors.
- Anahita Fathi Kazerooni (16 papers)
- Nastaran Khalili (8 papers)
- Xinyang Liu (43 papers)
- Debanjan Haldar (5 papers)
- Zhifan Jiang (21 papers)
- Anna Zapaishchykova (9 papers)
- Julija Pavaine (3 papers)
- Lubdha M. Shah (4 papers)
- Nakul Sheth (3 papers)
- Wenxin Tu (4 papers)
- Andres F. Rodriguez (1 paper)
- Ibraheem Salman Shaikh (3 papers)
- Mariana Sanchez Montano (1 paper)
- Hollie Anne Lai (3 papers)
- Maruf Adewole (13 papers)
- Jake Albrecht (14 papers)
- Udunna Anazodo (12 papers)
- Hannah Anderson (8 papers)
- Syed Muhammed Anwar (4 papers)
- Alejandro Aristizabal (7 papers)