Evidence map›Paper›PMID 38106459›Full record

ArticleArXiv2023

A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network.

Ariana M Familiar, Anahita Fathi Kazerooni, Hannah Anderson, Aliaksandr Lubneuski, Karthik Viswanathan, Rocky Breslow, Nastaran Khalili, Sina Bagheri, Debanjan Haldar, Meen Chul Kim and 30 more

Open access · greenAbstract readPreprint
In one paragraph

Article in ArXiv, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Toward diffusion MRI in the diagnosis and treatment of pancreatic cancer.Medical oncology (Northwood, London, England) · 2025
    Review
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

40 authors at 6 institutions in 1 country.

Ariana M FamiliarCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Anahita Fathi KazerooniCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Hannah AndersonCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Aliaksandr LubneuskiCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Karthik ViswanathanCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Rocky BreslowCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Nastaran KhaliliCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Sina BagheriCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Debanjan HaldarCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Meen Chul KimCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Sherjeel ArifCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Rachel MadhogarhiaCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Thinh Q NguyenCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Elizabeth A FrenkelCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Zeinab HeliliCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Jessica HarrisonCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Keyvan FarahaniNational Cancer Institute, Bethesda, MD, USA.
Marius George LinguraruSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA.
Ulas BagciDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Yury VelichkoDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Jeffrey StevensDepartment of Hematology and Oncology, Seattle Children's, Seattle, WA, USA.
Sarah LearyDepartment of Hematology and Oncology, Seattle Children's, Seattle, WA, USA.
Robert M LoberDivision of Neurosurgery, Dayton Children's Hospital, Dayton, OH, USA.
Stephani CampionDepartment of Pediatric Hematology & Oncology, Orlando Health Arnold Palmer Hospital for Children, Orlando, FL, USA.
Amy A SmithDepartment of Pediatric Hematology & Oncology, Orlando Health Arnold Palmer Hospital for Children, Orlando, FL, USA.
Denise MorinigoDepartment of Hematology-Oncology, Children's National Hospital, Washington, DC, USA.
Brian RoodDepartment of Hematology-Oncology, Children's National Hospital, Washington, DC, USA.
Kimberly DiamondDepartment of Pediatric Neurosurgery, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA.
Ian F PollackDepartment of Pediatric Neurosurgery, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA.
Melissa WilliamsDivision of Hematology, Oncology, NeuroOncology, and Transplant, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, USA.
Arastoo VossoughCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Jeffrey B WareCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Sabine MuellerDepartment of Neurology, Division of Child Neurology, University of San Francisco, San Francisco, CA, USA.
Phillip B StormCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Allison P HeathCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Angela J WaandersDivision of Hematology, Oncology, NeuroOncology, and Transplant, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, USA.
Jena LillyCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Jennifer L MasonCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Adam C ResnickCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Ali NabavizadehCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Children's Hospital of Philadelphia · USNorthwestern University · USChildren's National · USDayton Children's Hospital · USNational Cancer Institute · USUniversity of Pennsylvania · US

Funding

User-ready tools and scalable workflows for INCLUDE datasets in the cloud: advancing brain imaging data management and analyticsU2CHL156291 · NHLBI · CHILDREN'S HOSP OF PHILADELPHIA · PI Joaquin M. Espinosa · 2020 to 2026
$43.8M
NHLBI NIH HHS U2C HL156291
6 · The paper itself

Abstract

Pediatric brain and spinal cancers remain the leading cause of cancer-related death in children. Advancements in clinical decision-support in pediatric neuro-oncology utilizing the wealth of radiology imaging data collected through standard care, however, has significantly lagged other domains. Such data is ripe for use with predictive analytics such as artificial intelligence (AI) methods, which require large datasets. To address this unmet need, we provide a multi-institutional, large-scale pediatric dataset of 23,101 multi-parametric MRI exams acquired through routine care for 1,526 brain tumor patients, as part of the Children's Brain Tumor Network. This includes longitudinal MRIs across various cancer diagnoses, with associated patient-level clinical information, digital pathology slides, as well as tissue genotype and omics data. To facilitate downstream analysis, treatment-naïve images for 370 subjects were processed and released through the NCI Childhood Cancer Data Initiative via the Cancer Data Service. Through ongoing efforts to continuously build these imaging repositories, our aim is to accelerate discovery and translational AI models with real-world data, to ultimately empower precision medicine for children.

Identifiers

PMID38106459
PMCPMC10723526
OpenAlexW4387323021

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.