Evidence map›Paper›PMID 37608932›Full record

ArticleArXiv2024

The Brain Tumor Segmentation (BraTS) Challenge 2023:

Hongwei Bran Li, Gian Marco Conte, Qingqiao Hu, Syed Muhammad Anwar, Florian Kofler, Ivan Ezhov, Koen van Leemput, Marie Piraud, Maria Diaz, Byrone Cole and 59 more

Abstract readPreprint
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

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

69 authors.

Hongwei Bran LiUniversity of Zurich, Switzerland.
Gian Marco ConteMayo Clinic, Rochester, USA.
Qingqiao HuUniversity of Zurich, Switzerland.
Syed Muhammad AnwarChildren's National Hospital, Washington DC, USA.
Florian KoflerHelmholtz AI, Helmholtz Munich, Germany.
Ivan EzhovDepartment of Informatics, Technical University Munich, Germany.
Koen van LeemputFinnish Center for Artificial Intelligence, Finland.
Marie PiraudHelmholtz AI, Helmholtz Munich, Germany.
Maria DiazSage Bionetworks, USA.
Byrone ColeSage Bionetworks, USA.
Evan CalabreseDuke University Medical Center, Department of Radiology, USA.
Jeff RudieUniversity of California San Francisco, CA, USA.
Felix MeissenDepartment of Informatics, Technical University Munich, Germany.
Maruf AdewoleMedical Artificial Intelligence (MAI) Lab, Crestview Radiology, Lagos, Nigeria.
Anastasia JanasYale University, New Haven, CT, USA.
Anahita Fathi KazerooniChildren's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.
Dominic LaBellaDuke University Medical Center, Department of Radiation Oncology, USA.
Ahmed W MoawadMercy Catholic Medical Center, Darby, PA, USA.
Keyvan FarahaniCancer Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD 20814, USA.
James EddySage Bionetworks, USA.
Timothy BergquistSage Bionetworks, USA.
Verena ChungSage Bionetworks, USA.
Russell Takeshi ShinoharaCenter for AI and Data Science for Integrated Diagnostics (AI2D) I& Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Farouk DakoCenter for Global Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Walter WigginsDuke University Medical Center, Department of Radiology, USA.
Zachary ReitmanDuke University Medical Center, Department of Radiation Oncology, USA.
Chunhao WangDuke University Medical Center, Department of Radiation Oncology, USA.
Xinyang LiuChildren's National Hospital, Washington DC, USA.
Zhifan JiangChildren's National Hospital, Washington DC, USA.
Ariana FamiliarChildren's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.
Elaine JohansonPrecisionFDA, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Zeke MeierBooz Allen Hamilton, McLean, VA, USA.
Christos DavatzikosCenter for AI and Data Science for Integrated Diagnostics (AI2D) I& Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
John FreymannLeidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA.
Justin KirbyLeidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA.
Michel BilelloCenter for AI and Data Science for Integrated Diagnostics (AI2D) I& Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Hassan M Fathallah-ShaykhDepartment of Neurology, The University of Alabama at Birmingham, Birmingham, AL, USA.
Roland WiestInstitute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland.
Jan KirschkeDepartment of Neuroradiology, Technical University of Munich, Munich, Germany.
Rivka R ColenUniversity of Pittsburgh Medical Center, PA, USA.
Aikaterini KotrotsouDepartment of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Pamela LamontagneDepartment of Psychology, Washington University, St. Louis, MO, USA.
Daniel MarcusNeuroimaging Informatics and Analysis Center, Washington University, St. Louis, MO, USA.
Mikhail MilchenkoNeuroimaging Informatics and Analysis Center, Washington University, St. Louis, MO, USA.
Arash NazeriDepartment of Radiology, Washington University, St. Louis, MO, USA.
Marc-André WeberInstitute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Ernst-Heydemann-Str. 6, 18057 Rostock, Germany.
Abhishek MahajanTata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Suyash MohanCenter for AI and Data Science for Integrated Diagnostics (AI2D) I& Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
John MonganUniversity of California San Francisco, CA, USA.
Christopher HessUniversity of California San Francisco, CA, USA.
Soonmee ChaUniversity of California San Francisco, CA, USA.
Javier Villanueva-MeyerUniversity of California San Francisco, CA, USA.
Errol ColakUniversity of Toronto, Toronto, ON, Canada.
Priscila CrivellaroUniversity of Toronto, Toronto, ON, Canada.
Andras JakabUniversity of Debrecen, Hungary Stony Brook University, NY, USA.
Jake AlbrechtSage Bionetworks, USA.
Udunna AnazodoMontreal Neurological Institute (MNI), McGill University, Montreal, QC, Canada.
Mariam AboianYale University, New Haven, CT, USA.
Thomas YuAthinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, USA.
Verena ChungSage Bionetworks, USA.
Timothy BergquistSage Bionetworks, USA.
James EddySage Bionetworks, USA.
Jake AlbrechtSage Bionetworks, USA.
Ujjwal BaidCenter for AI and Data Science for Integrated Diagnostics (AI2D) I& Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Spyridon BakasCenter for AI and Data Science for Integrated Diagnostics (AI2D) I& Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Marius George LinguraruChildren's National Hospital, Washington DC, USA and George Washington University, USA.
Bjoern MenzeUniversity of Zurich, Switzerland.
Juan Eugenio IglesiasAthinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, USA.
Benedikt WiestlerKlinikum rechts der Isar, Technical University of Munich, Germany.

Funding

Generalizable quantitative imaging and machine learning signatures in glioblastoma, for precision diagnostics and personalized treatment: the ReSPOND consortiumR01CA269948 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Christos Davatzikos · 2022 to 2026
$3.2M
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 R01 CA269948NCI NIH HHS U01 CA242871
6 · The paper itself

Abstract

Automated brain tumor segmentation methods have become well-established and reached performance levels offering clear clinical utility. These methods typically rely on four input magnetic resonance imaging (MRI) modalities: T1-weighted images with and without contrast enhancement, T2-weighted images, and FLAIR images. However, some sequences are often missing in clinical practice due to time constraints or image artifacts, such as patient motion. Consequently, the ability to substitute missing modalities and gain segmentation performance is highly desirable and necessary for the broader adoption of these algorithms in the clinical routine. In this work, we present the establishment of the Brain MR Image Synthesis Benchmark (BraSyn) in conjunction with the Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2023. The primary objective of this challenge is to evaluate image synthesis methods that can realistically generate missing MRI modalities when multiple available images are provided. The ultimate aim is to facilitate automated brain tumor segmentation pipelines. The image dataset used in the benchmark is diverse and multi-modal, created through collaboration with various hospitals and research institutions.

Indexed as

brainBraTSchallengeimage synthesismachine learningMRIsegmentationtumor

Identifiers

PMID37608932
PMCPMC10441440

What OpenQuestion holds

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Registered trials

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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.