Citations 1
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
Kazerooni, Anahita Fathi , Khalili, Nastaran, Liu, Xinyang , Jiang, Zhifan , Pavaine, Julija , Jones, Blaise V. , Sheth, Nakul , McAllister, Aaron S. , Tu, Wenxin , Rodriguez, Andres Fernandez, Shaikh, Ibraheem S , Sanchez-Montano, Mariana , Lai, Hollie Anne , Adewole, Maruf , Albrecht, Jake, Anazodo, Udunna, Anwar, Syed Muhammed, Aristizábal, Alejandro , Baid, Ujjwal , Bergquist, Timothy , Conte, Gian-Marco, Eddy, James A. , Ezhov, Ivan , Gandhi, Deep , Gottipati, Anurag , Haldar, Shuvanjan, Janas, Anastasia , Elaine, Elaine, Karargyris, Alexandros , Kassem, Hasan, Khalili, Neda , Maleki, Nazanin , Meier, Zeke, Saluja, Rachit , Sheller, Micah , Shinohara, Russell Takeshi, Viswanathan, Karthik , Wang, Chunhao , Storm, Phillip B. , Packer, Roger, Hummel, Trent R. , Hoffman, Lindsey M. , Nabavizadeh, Ali , Ware, Jeffrey B., Rood, Brian , Resnick, Adam J., Linguraru, Marius George , Khalili, Nastaran, Haldar, Debanjan , Zapaishchykova, Anna , Shah, Lubdha M. , Prabhu, Sanjay P. , Nandolia, Khanak , Anderson, Hannah, Bagheri, Sina , Borja, Austin J. , Calabrese, Evan , Chung, Verena , Familiar, Ariana , Farahani, Keyvan , Iglesias, Juan Eugenio , Kofler, Florian , LaBella, Dominic , Leemput, Koen Van , Li, Hongwei , Meier, Zeke, Menze, Bjoern H. , Moawad, Ahmed W. , Pati, Sarthak , Piraud, Marie , Poussaint, Tina Young , Reitman, Zachary J. , Rudie, Jeffrey D. , Shinohara, Russell Taki , Wiestler, Benedikt , Wiggins, Walter F. , Davatzikos, Christos , Bornhorst, Miriam , Blank, Peter M K de , Aboian, Mariam , Kann, Benjamin H. , Bakas, Spyridon , Vossough, Arastoo
Machine Learning for Biomedical Imaging | June 26, 2025 | Volume: 3 | Issue: June 2025 | Pages: 72-87
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 BraTS-PEDs 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.