Evidence map›Paper›PMID 38942025›Full record

ArticleCancer cell2024

Advancing presurgical non-invasive molecular subgroup prediction in medulloblastoma using artificial intelligence and MRI signatures.

Yan-Ran Joyce Wang, Pengcheng Wang, Zihan Yan, Quan Zhou, Fatma Gunturkun, Peng Li, Yanshen Hu, Wei Emma Wu, Kankan Zhao, Michael Zhang and 16 more

Abstract read
In one paragraph

Article in Cancer cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Medulloblastoma: biology and immunotherapy.Frontiers in immunology · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors.

Yan-Ran Joyce WangAnhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China; School of Medicine, Stanford University, Stanford, CA 94304, USA. Electronic address: wangyanran100@gmail.com.
Pengcheng WangDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Zihan YanDepartment of Pediatric Neurosurgery, Beijing Tiantan Hospital, Capital Medicine University, Beijing Neurosurgical Institute, Beijing 100070, China.
Quan ZhouSchool of Medicine, Stanford University, Stanford, CA 94304, USA; Department of Neurosurgery, Stanford School of Medicine, Stanford University, Stanford, CA 94304, USA.
Fatma GunturkunSchool of Medicine, Stanford University, Stanford, CA 94304, USA; Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA 94304, USA.
Peng LiAnhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China; School of Engineering, University of Science and Technology of China, Hefei 230001, China.
Yanshen HuSchool of Engineering, University of Science and Technology of China, Hefei 230001, China.
Wei Emma WuSchool of Medicine, Stanford University, Stanford, CA 94304, USA; Department of Radiology Oncology, Stanford University, Stanford, CA 94305, USA.
Kankan ZhaoPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Michael ZhangSchool of Medicine, Stanford University, Stanford, CA 94304, USA; Department of Neurosurgery, Stanford School of Medicine, Stanford University, Stanford, CA 94304, USA.
Haoyi LvSchool of Engineering, University of Science and Technology of China, Hefei 230001, China.
Lehao FuSchool of Engineering, University of Science and Technology of China, Hefei 230001, China.
Jiajie JinSchool of Engineering, University of Science and Technology of China, Hefei 230001, China.
Qing DuAnhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China.
Haoyu WangSchool of Engineering, University of Science and Technology of China, Hefei 230001, China.
Kun ChenThe First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China.
Liangqiong QuThe Department of Statistics and Actuarial Science and the Institute of Data Science, The University of Hong Kong, Hong Kong 999077, China.
Keldon LinMayo Clinic Alix School of Medicine, Scottsdale, AZ 85054, USA.
Michael IvSchool of Medicine, Stanford University, Stanford, CA 94304, USA; Department of Neurosurgery, Stanford School of Medicine, Stanford University, Stanford, CA 94304, USA.
Hao WangAnhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China; MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
Xiaoyan SunAnhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China; School of Engineering, University of Science and Technology of China, Hefei 230001, China.
Hannes VogelSchool of Medicine, Stanford University, Stanford, CA 94304, USA; Department of Pathology, Stanford School of Medicine, Stanford University, Stanford, CA 94304, USA.
Summer HanSchool of Medicine, Stanford University, Stanford, CA 94304, USA; Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA 94304, USA.
Lu TianSchool of Medicine, Stanford University, Stanford, CA 94304, USA; Department of Statistics, Stanford School of Medicine, Stanford University, Stanford, CA 94304, USA.
Feng WuSchool of Engineering, University of Science and Technology of China, Hefei 230001, China.
Jian GongDepartment of Pediatric Neurosurgery, Beijing Tiantan Hospital, Capital Medicine University, Beijing Neurosurgical Institute, Beijing 100070, China. Electronic address: gongjian88@vip.163.com.

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
NCI NIH HHS P30 CA124435
6 · The paper itself

Abstract

Global investigation of medulloblastoma has been hindered by the widespread inaccessibility of molecular subgroup testing and paucity of data. To bridge this gap, we established an international molecularly characterized database encompassing 934 medulloblastoma patients from thirteen centers across China and the United States. We demonstrate how image-based machine learning strategies have the potential to create an alternative pathway for non-invasive, presurgical, and low-cost molecular subgroup prediction in the clinical management of medulloblastoma. Our robust validation strategies-including cross-validation, external validation, and consecutive validation-demonstrate the model's efficacy as a generalizable molecular diagnosis classifier. The detailed analysis of MRI characteristics replenishes the understanding of medulloblastoma through a nuanced radiographic lens. Additionally, comparisons between East Asia and North America subsets highlight critical management implications. We made this comprehensive dataset, which includes MRI signatures, clinicopathological features, treatment variables, and survival data, publicly available to advance global medulloblastoma research.

Indexed as

Cerebellar NeoplasmsMagnetic Resonance ImagingMedulloblastomaAdolescentAdultArtificial IntelligenceChildChild, PreschoolChinaFemaleHumansInfantMachine LearningMalePrognosisUnited Statesartificial intelligenceinternational cohortmachine learningmedulloblastomamolecular subgroupingneuro-oncologynoninvasiveprecision medicine

Identifiers

PMID38942025
PMCPMC13010562

What OpenQuestion holds

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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.