BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
Anahita Fathi Kazerooni1, Nastaran Khalili1, Xinyang Liu2, Debanjan Haldar3, Zhifan Jiang2, Anna Zapaishchykova4, Julija Pavaine5, Lubdha M. Shah6, Blaise V. Jones7, Nakul Sheth8, Sanjay P. Prabhu9, Aaron S. McAllister10, Wenxin Tu11, Khanak K. Nandolia12, Andres F. Rodriguez13, Ibraheem Salman Shaikh14, Mariana Sanchez-Montano15, Hollie Anne Lai16, Maruf Adewole17, Jake Albrecht18, Udunna Anazodo19, Hannah Anderson20, Syed Muhammed Anwar2, Alejandro Aristizabal21, Sina Bagheri20, Ujjwal Baid22, Timothy Bergquist18, Austin J. Borja23, Evan Calabrese24, Verena Chung18, Gian-Marco Conte25, James Eddy18, Ivan Ezhov26, Ariana M. Familiar1, Keyvan Farahani27, Deep Gandhi1, Anurag Gottipati1, Shuvanjan Haldar28, Juan Eugenio Iglesias29, Anastasia Janas30, Elaine Elaine31, Alexandros Karargyris21, Hasan Kassem21, Neda Khalili1, Florian Kofler32, Dominic LaBella33, Koen Van Leemput34, Hongwei B. Li35, Nazanin Maleki30, Zeke Meier36, Bjoern Menze37, Ahmed W. Moawad38, Sarthak Pati21, Marie Piraud32, Tina Poussaint4, Zachary J. Reitman33, Jeffrey D. Rudie39, Rachit Saluja40, MIcah Sheller21, Russell Takeshi Shinohara41, Karthik Viswanathan1, Chunhao Wang33, Benedikt Wiestler42, Walter F. Wiggins43, Christos Davatzikos44, Phillip B. Storm1, Miriam Bornhorst45, Roger Packer45, Trent Hummel46, Peter de Blank46, Lindsey Hoffman47, Mariam Aboian8, Ali Nabavizadeh1, Jeffrey B. Ware1, Benjamin H. Kann4, Brian Rood48, Adam Resnick1, Spyridon Bakas22, Arastoo Vossough8, Marius George Linguraru2
1: Center for Data-Driven Discovery in Biomedicine (D3b), The Children’s Hospital of Philadelphia, PA, USA, 2: Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington DC, USA, 3: Department of Neurosurgery, Thomas Jefferson University Hospital, PA, USA, 4: Dana-Farber Brigham Cancer Center & Boston Children’s Hospital, Boston, MA, USA, 5: Department of Paediatric Radiology, Royal Manchester Children’s Hospital, Manchester University Hospitals NHS Foundation Trust, University of Manchester, Manchester, UK, 6: University of Utah, UT, USA, 7: Cincinnati Children’s Hospital Medical Center, OH, USA, 8: Department of Radiology, The Children’s Hospital of Philadelphia, PA, USA, 9: Division of Neuroradiology, Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA, 10: Department of Radiology, Nationwide Children’s Hospital, OH, USA, 11: College of Arts and Sciences, University of Pennsylvania, PA, USA, 12: Department of Diagnostic and Interventional Radiology, All India Institute of Medical Sciences, Rishikesh, India, 13: Department of Diagnostic & Interventional Imaging, Neuroradiology section, The University of Texas Health at Houston, Texas, USA, 14: Beth Israel Deaconess Medical Center, Harvard Medical School, MA, USA, 15: UNIDAD DE PATOLOGIA CLINICA:Guadalajara, JALISCO, Mexico, 16: Department of Radiology, Children’s Health Orange County, CA, USA, 17: Medical Artificial Intelligence (MAI) Lab, Crestview Radiology, Lagos, Nigeria, 18: Sage Bionetworks, USA, 19: Montreal Neurological Institute (MNI), McGill University, Montreal, QC, Canada, 20: Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA, 21: MLCommons, USA, 22: Division of Computational Pathology, Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA, 23: Department of Neurosurgery at the University of Southern California, CA, USA, 24: Department of Radiology, Duke University Medical Center, Durham, NC, USA, 25: Mayo Clinic, MN, USA, 26: Department of Informatics, Technical University Munich, Germany, 27: National Cancer Institute, National Institutes of Health, Bethesda, MD, USA, 28: Biomedical Engineering Rutgers University, New Brunswick, NJ, USA, 29: Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA, 30: Yale University, New Haven, CT, USA, 31: PrecisionFDA, U.S. Food and Drug Administration, Silver Spring, MD, USA, 32: Helmholtz AI, Helmholtz Munich, Germany, 33: Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA, 34: Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark, 35: Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA, 36: Booz Allen Hamilton, McLean, VA, USA, 37: Biomedical Image Analysis & Machine Learning, Department of Quantitative Biomedicine, University of Zurich, Switzerland, 38: Mercy Catholic Medical Center, Darby, PA, USA, 39: University of San Diego, CA, USA, 40: Cornell University, Ithaca, NY, USA, 41: Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA, 42: Department of Neuroradiology, Technical University of Munich, Munich, Germany, 43: Greensboro Radiology, Greensboro, NC, USA, 44: Center for AI and Data Science for Integrated Diagnostics (AI2D) & Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA, 45: Brain Tumor Institute, Children’s National Hospital, Washington, DC, USA, 46: Brain Tumor Center, Cincinnati Children’s Hospital, Cincinnati, OH, USA, 47: Center for Cancer and Blood Disorders, Phoenix Children’s Hospital, Phoenix, AZ, US, 48: Center for Cancer and Blood Disorders, Children’s National Hospital, Washington, DC, USA
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.
Bibtex @article{melba:2025:005:fathikazerooni,
title = "BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023 ",
author = "Fathi Kazerooni, Anahita and Khalili, Nastaran and Liu, Xinyang and Haldar, Debanjan and Jiang, Zhifan and Zapaishchykova, Anna and Pavaine, Julija and Shah, Lubdha M. and Jones, Blaise V. and Sheth, Nakul and Prabhu, Sanjay P. and McAllister, Aaron S. and Tu, Wenxin and Nandolia, Khanak K. and Rodriguez, Andres F. and Shaikh, Ibraheem Salman and Sanchez-Montano, Mariana and Lai, Hollie Anne and Adewole, Maruf and Albrecht, Jake and Anazodo, Udunna and Anderson, Hannah and Anwar, Syed Muhammed and Aristizabal, Alejandro and Bagheri, Sina and Baid, Ujjwal and Bergquist, Timothy and Borja, Austin J. and Calabrese, Evan and Chung, Verena and Conte, Gian-Marco and Eddy, James and Ezhov, Ivan and Familiar, Ariana M. and Farahani, Keyvan and Gandhi, Deep and Gottipati, Anurag and Haldar, Shuvanjan and Iglesias, Juan Eugenio and Janas, Anastasia and Elaine, Elaine and Karargyris, Alexandros and Kassem, Hasan and Khalili, Neda and Kofler, Florian and LaBella, Dominic and Van Leemput, Koen and Li, Hongwei B. and Maleki, Nazanin and Meier, Zeke and Menze, Bjoern and Moawad, Ahmed W. and Pati, Sarthak and Piraud, Marie and Poussaint, Tina and Reitman, Zachary J. and Rudie, Jeffrey D. and Saluja, Rachit and Sheller, MIcah and Shinohara, Russell Takeshi and Viswanathan, Karthik and Wang, Chunhao and Wiestler, Benedikt and Wiggins, Walter F. and Davatzikos, Christos and Storm, Phillip B. and Bornhorst, Miriam and Packer, Roger and Hummel, Trent and de Blank, Peter and Hoffman, Lindsey and Aboian, Mariam and Nabavizadeh, Ali and Ware, Jeffrey B. and Kann, Benjamin H. and Rood, Brian and Resnick, Adam and Bakas, Spyridon and Vossough, Arastoo and Linguraru, Marius George",
journal = "Machine Learning for Biomedical Imaging",
volume = "3",
issue = "June 2025 issue",
year = "2025",
pages = "72--87",
issn = "2766-905X",
doi = "https://doi.org/10.59275/j.melba.2025-f6fg",
url = "https://melba-journal.org/2025:005"
}
RISTY - JOUR
AU - Fathi Kazerooni, Anahita
AU - Khalili, Nastaran
AU - Liu, Xinyang
AU - Haldar, Debanjan
AU - Jiang, Zhifan
AU - Zapaishchykova, Anna
AU - Pavaine, Julija
AU - Shah, Lubdha M.
AU - Jones, Blaise V.
AU - Sheth, Nakul
AU - Prabhu, Sanjay P.
AU - McAllister, Aaron S.
AU - Tu, Wenxin
AU - Nandolia, Khanak K.
AU - Rodriguez, Andres F.
AU - Shaikh, Ibraheem Salman
AU - Sanchez-Montano, Mariana
AU - Lai, Hollie Anne
AU - Adewole, Maruf
AU - Albrecht, Jake
AU - Anazodo, Udunna
AU - Anderson, Hannah
AU - Anwar, Syed Muhammed
AU - Aristizabal, Alejandro
AU - Bagheri, Sina
AU - Baid, Ujjwal
AU - Bergquist, Timothy
AU - Borja, Austin J.
AU - Calabrese, Evan
AU - Chung, Verena
AU - Conte, Gian-Marco
AU - Eddy, James
AU - Ezhov, Ivan
AU - Familiar, Ariana M.
AU - Farahani, Keyvan
AU - Gandhi, Deep
AU - Gottipati, Anurag
AU - Haldar, Shuvanjan
AU - Iglesias, Juan Eugenio
AU - Janas, Anastasia
AU - Elaine, Elaine
AU - Karargyris, Alexandros
AU - Kassem, Hasan
AU - Khalili, Neda
AU - Kofler, Florian
AU - LaBella, Dominic
AU - Van Leemput, Koen
AU - Li, Hongwei B.
AU - Maleki, Nazanin
AU - Meier, Zeke
AU - Menze, Bjoern
AU - Moawad, Ahmed W.
AU - Pati, Sarthak
AU - Piraud, Marie
AU - Poussaint, Tina
AU - Reitman, Zachary J.
AU - Rudie, Jeffrey D.
AU - Saluja, Rachit
AU - Sheller, MIcah
AU - Shinohara, Russell Takeshi
AU - Viswanathan, Karthik
AU - Wang, Chunhao
AU - Wiestler, Benedikt
AU - Wiggins, Walter F.
AU - Davatzikos, Christos
AU - Storm, Phillip B.
AU - Bornhorst, Miriam
AU - Packer, Roger
AU - Hummel, Trent
AU - de Blank, Peter
AU - Hoffman, Lindsey
AU - Aboian, Mariam
AU - Nabavizadeh, Ali
AU - Ware, Jeffrey B.
AU - Kann, Benjamin H.
AU - Rood, Brian
AU - Resnick, Adam
AU - Bakas, Spyridon
AU - Vossough, Arastoo
AU - Linguraru, Marius George
PY - 2025
TI - BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
T2 - Machine Learning for Biomedical Imaging
VL - 3
IS - June 2025 issue
SP - 72
EP - 87
SN - 2766-905X
DO - https://doi.org/10.59275/j.melba.2025-f6fg
UR - https://melba-journal.org/2025:005
ER -