Evidence map›Paper›PMID 37292481›Full record

ArticleArXiv2024

The Brain Tumor Segmentation (BraTS) Challenge 2023:

Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu, Debanjan Haldar, Zhifan Jiang, Syed Muhammed Anwar, Jake Albrecht, Maruf Adewole, Udunna Anazodo, Hannah Anderson and 62 more

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PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

72 authors.

Anahita Fathi KazerooniCenter for Data-Driven Discovery in Biomedicine (D3b), Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0001-7131-2261
Nastaran KhaliliCenter for Data-Driven Discovery in Biomedicine (D3b), Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0001-8078-3591
Xinyang LiuSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington DC, USA.
Debanjan HaldarCenter for Data-Driven Discovery in Biomedicine (D3b), Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Zhifan JiangSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington DC, USA.
Syed Muhammed AnwarSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington DC, USA.
Jake AlbrechtSage Bionetworks, USA.
Maruf AdewoleMedical Artificial Intelligence (MAI) Lab, Crestview Radiology, Lagos, Nigeria.
Udunna AnazodoMontreal Neurological Institute (MNI), McGill University, Montreal, QC, Canada.
Hannah AndersonCenter for Data-Driven Discovery in Biomedicine (D3b), Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Sina BagheriCenter for Data-Driven Discovery in Biomedicine (D3b), Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Ujjwal BaidCenter for AI & Data Science for Integrated Diagnostics (AI2D) and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-5246-2088
Timothy BergquistSage Bionetworks, USA.
Austin J BorjaDepartment of Neurosurgery at the University of Southern California, CA, USA.
Evan CalabreseDepartment of Radiology, Duke University Medical Center, USA.
Verena ChungSage Bionetworks, USA.
Gian-Marco ConteMayo Clinic, MN, USA.
Farouk DakoCenter for Global Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
James EddySage Bionetworks, USA.
Ivan EzhovDepartment of Informatics, Technical University Munich, Germany.
Ariana FamiliarCenter for Data-Driven Discovery in Biomedicine (D3b), Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Keyvan FarahaniCancer Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Shuvanjan HaldarCenter for Data-Driven Discovery in Biomedicine (D3b), Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Juan Eugenio IglesiasAthinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
Anastasia JanasYale University, New Haven, CT, USA.
Elaine JohansenPrecisionFDA, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Blaise V JonesCincinnati Children's Hospital Medical Center.ORCID 0000-0001-9003-4578
Florian KoflerHelmholtz AI, Helmholtz Munich, Germany.
Dominic LaBellaDepartment of Radiation Oncology, Duke University Medical Center, USA.
Hollie Anne LaiDepartment of Radiology, Children's Health Orange County, CA, USA.ORCID 0000-0001-6747-7338
Koen Van LeemputDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark.
Hongwei Bran LiAthinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
Nazanin MalekiYale University, New Haven, CT, USA.
Aaron S McAllisterDepartment of Radiology, Nationwide Children's Hospital, OH.ORCID 0000-0002-1117-9355
Zeke MeierBooz Allen Hamilton, McLean, VA, USA.
Bjoern MenzeBiomedical Image Analysis & Machine Learning, Department of Quantitative Biomedicine, University of Zurich, Switzerland.
Ahmed W MoawadMercy Catholic Medical Center, Darby, PA, USA.
Khanak K NandoliaDepartment of Diagnostic and Interventional Radiology, All India Institute of Medical Sciences, Rishikesh, India.ORCID 0000-0002-8627-2992
Julija PavaineDepartment of Paediatric Radiology, Royal Manchester Children's Hospital, Manchester University Hospitals NHS Foundation Trust, University of Manchester, Manchester, UK.ORCID 0000-0003-1843-837X
Marie PiraudHelmholtz AI, Helmholtz Munich, Germany.
Tina PoussaintDana-Farber Brigham Cancer Center & Boston Children's Hospital, Boston, MA, USA.
Sanjay P PrabhuDivision of Neuroradiology, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-0871-115X
Zachary ReitmanDepartment of Radiation Oncology, Duke University Medical Center, USA.
Andres RodriguezDepartment of Diagnostic & Interventional Imaging, Neuroradiology section. The University of Texas Health Sciences Center at Houston.ORCID 0000-0002-5366-5351
Jeffrey D RudieUniversity of California, San Diego, CA, USA.ORCID 0000-0001-8609-8421
Ibraheem Salman ShaikhBeth Israel Deaconess Medical Center, Harvard Medical School, MA, USA.ORCID 0000-0002-5994-997X
Lubdha M ShahUniversity of Utah, UT, USA.ORCID 0000-0003-1303-3533
Nakul ShethDepartment of Radiology, The Children's Hospital of Philadelphia, PA, USA.
Russel Taki ShinoharaCenter for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, USA.
Wenxin TuCollege of Arts and Sciences, University of Pennsylvania, PA, USA.
Karthik ViswanathanCenter for Data-Driven Discovery in Biomedicine (D3b), Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Chunhao WangDepartment of Radiation Oncology, Duke University Medical Center, USA.
Jeffrey B WareDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Benedikt WiestlerDepartment of Neuroradiology, Technical University of Munich, Munich, Germany.
Walter WigginsDepartment of Radiology, Duke University Medical Center, USA.
Anna ZapaishchykovaDana-Farber Brigham Cancer Center & Boston Children's Hospital, Boston, MA, USA.
Mariam AboianYale University, New Haven, CT, USA.ORCID 0000-0002-4877-8271
Miriam BornhorstBrain Tumor Institute, Children's National Hospital, Washington, DC, USA.ORCID 0000-0002-7595-7726
Peter de BlankBrain Tumor Center, Cincinnati Children's Hospital, Cincinnati, OH, USA.
Michelle DeutschPediatric Neuro-Oncology Program, Nationwide Children's Hospital, Columbus, OH, US.
Maryam FouladiPediatric Neuro-Oncology Program, Nationwide Children's Hospital, Columbus, OH, US.
Lindsey HoffmanCenter for Cancer and Blood Disorders, Phoenix Children's Hospital, Phoenix, AZ, US.
Benjamin KannDana-Farber Brigham Cancer Center & Boston Children's Hospital, Boston, MA, USA.
Margot LazowPediatric Neuro-Oncology Program, Nationwide Children's Hospital, Columbus, OH, US.
Leonie MikaelPediatric Neuro-Oncology Program, Nationwide Children's Hospital, Columbus, OH, US.
Ali NabavizadehCenter for Data-Driven Discovery in Biomedicine (D3b), Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0002-0380-4552
Roger PackerBrain Tumor Institute, Children's National Hospital, Washington, DC, USA.
Adam ResnickCenter for Data-Driven Discovery in Biomedicine (D3b), Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0003-0436-4189
Brian RoodCenter for Cancer and Blood Disorders, Children's National Hospital, Washington, DC, USA.
Arastoo VossoughCenter for Data-Driven Discovery in Biomedicine (D3b), Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0003-1346-427X
Spyridon BakasCenter for AI & Data Science for Integrated Diagnostics (AI2D) and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-8734-6482
Marius George LinguraruSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington DC, USA.ORCID 0000-0001-6175-8665

Funding

Quantitative MRI for Pediatric Optic Pathway Glioma Treatment ResponseUH3CA236536 · NCI · CHILDREN'S HOSP OF PHILADELPHIA · PI AVERY, ROBERT ANDREW, LINGURARU, MARIUS GEORGE · 2022 to 2024
$2.1M
The Federated Tumor Segmentation (FeTS) platform: An intuitive tool facilitating secure multi-institutional collaborationU01CA242871 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BAKAS, SPYRIDON · 2019 to 2021
$1.1M
NCI NIH HHS U01 CA242871NCI NIH HHS UH3 CA236536
6 · The paper itself

Abstract

Pediatric tumors of the central nervous system are the most common cause of cancer-related death in children. The five-year survival rate for high-grade gliomas in children is less than 20%. Due to their rarity, the diagnosis of these entities is often delayed, their treatment is mainly based on historic treatment concepts, and clinical trials require multi-institutional collaborations. The MICCAI Brain Tumor Segmentation (BraTS) Challenge is a landmark community benchmark event with a successful history of 12 years of resource creation for the segmentation and analysis of adult glioma. Here we present the CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs 2023 challenge, which represents the first BraTS challenge focused on pediatric brain tumors with data acquired across multiple international consortia dedicated to pediatric neuro-oncology and clinical trials. The BraTS-PEDs 2023 challenge focuses on benchmarking the development of volumentric segmentation algorithms for pediatric brain glioma through standardized quantitative performance evaluation metrics utilized across the BraTS 2023 cluster of challenges. Models gaining knowledge from the BraTS-PEDs multi-parametric structural MRI (mpMRI) training data will be evaluated on separate validation and unseen test mpMRI dataof high-grade pediatric glioma. The CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs 2023 challenge brings together clinicians and AI/imaging scientists to lead to faster development of automated segmentation techniques that could benefit clinical trials, and ultimately the care of children with brain tumors.

Indexed as

AIartificial intelligencebrainBraTSBraTS-PEDschallengedeep learningmachine learningpediatricsegmentationtumorvolume

Identifiers

PMID37292481
PMCPMC10246083

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.