Evidence map›Paper›PMID 39665363›Full record

ArticleNeuro-oncology2025

Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study.

Hamed Akbari, Spyridon Bakas, Chiharu Sako, Anahita Fathi Kazerooni, Javier Villanueva-Meyer, Jose A Garcia, Elizabeth Mamourian, Fang Liu, Quy Cao, Russell T Shinohara and 79 more

Abstract readMulticenter Study
In one paragraph

Article in Neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

89 authors.

Hamed AkbariDepartment of Bioengineering, School of Engineering, Santa Clara University, Santa Clara, California, USA.ORCID 0000-0001-9786-3707
Spyridon BakasDepartment of Pathology & Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Chiharu SakoCenter for Data Science and AI for Integrated Diagnostics (AI2D), and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Anahita Fathi KazerooniDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Javier Villanueva-MeyerDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Jose A GarciaCenter for Data Science and AI for Integrated Diagnostics (AI2D), and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Elizabeth MamourianCenter for Data Science and AI for Integrated Diagnostics (AI2D), and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Fang LiuBiostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Quy CaoBiostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Russell T ShinoharaCenter for Data Science and AI for Integrated Diagnostics (AI2D), and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ujjwal BaidDepartment of Pathology & Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Alexander GetkaCenter for Data Science and AI for Integrated Diagnostics (AI2D), and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Sarthak PatiDepartment of Pathology & Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Ashish SinghCenter for Data Science and AI for Integrated Diagnostics (AI2D), and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Evan CalabreseDepartment of Radiology, Duke University, Durham, North Carolina, USA.ORCID 0000-0002-1464-0354
Susan ChangDepartment of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-3521-364X
Jeffrey RudieDepartment of Radiology, University of California San Diego, San Diego, California, USA.
Aristeidis SotirasDepartment of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0003-0795-8820
Pamela LaMontagneDepartment of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Daniel S MarcusDepartment of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Mikhail MilchenkoDepartment of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Arash NazeriDepartment of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Carmen BalanaB-ARGO Group, Institut Investigació Germans Trias i Pujol (IGTP), Badalona (Barcelona), Catalonia, Spain.
Jaume CapelladesResearch Unit (IDIR), Image Diagnosis Institute, Badalona, Spain.
Josep PuigDepartment of Radiology (CDI), Hospital Clínic and IDIBAPS, Barcelona, Spain.
Chaitra BadveDepartment of Radiology, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, Ohio, USA.
Jill S Barnholtz-SloanTrans-Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0001-6190-9304
Andrew E SloanBrain and Tumor Neurosurgery, Neurosurgical Oncology, Piedmont Health, Atlanta, Georgia, USA.
Vachan VadmalDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Kristin WaiteCenter for Biomedical Informatics and Information Technology (CBIIT), National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0002-3186-8510
Murat AkDepartment of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Rivka R ColenDepartment of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Yae Won ParkDepartment of Radiology, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-8907-5401
Sung Soo AhnDepartment of Radiology, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-0503-5558
Jong Hee ChangDepartment of Neurosurgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Yoon Seong ChoiDepartment of Diagnostic Radiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0002-6034-9912
Seung-Koo LeeDepartment of Radiology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Gregory S AlexanderDepartment of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Ayesha S AliDepartment of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Adam P DickerDepartment of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Adam E FlandersDepartment of Radiology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-4679-0787
Spencer LiemDepartment of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Joseph LombardoSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Wenyin ShiDepartment of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-6336-3912
Gaurav ShuklaCenter for Data Science and AI for Integrated Diagnostics (AI2D), and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Brent GriffithDepartment of Radiology, Henry Ford Health System, Detroit, Michigan, USA.
Laila M PoissonDepartment of Public Health Sciences, Center for Bioinformatics, Henry Ford Health System, Detroit, Michigan, USA.
Lisa R RogersDepartment of Neurosurgery, Hermelin Brain Tumor Center, Henry Ford Cancer Institute, Henry Ford Health, Detroit, Michigan, USA.
Aikaterini KotrotsouMD Anderson Cancer Center, University of Texas, Houston, Texas, USA.
Thomas C BoothSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Rajan JainDepartment of Radiology, New York University Langone Health, New York, New York, USA.ORCID 0000-0002-4879-0457
Matthew LeeDepartment of Radiology, New York University Langone Health, New York, New York, USA.ORCID 0000-0001-8816-1076
Abhishek MahajanTata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.ORCID 0000-0001-6606-6537
Arnab ChakravartiDepartment of Radiation Oncology, The James Cancer Hospital at the Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Joshua D PalmerDepartment of Radiation Oncology, The James Cancer Hospital at the Ohio State University Wexner Medical Center, Columbus, Ohio, USA.ORCID 0000-0003-3311-0129
Dominic DiCostanzoDepartment of Radiation Oncology, The James Cancer Hospital at the Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Hassan Fathallah-ShaykhDepartment of Neurology, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
Santiago CepedaDepartment of Neurosurgery, University Hospital Río Hortega, Valladolid, Spain.ORCID 0000-0003-1667-8548
Orazio Santo SantonocitoDivision of Neurosurgery, Spedali Riuniti di Livorno-Azienda USL Toscana Nord-Ovest, Livorno, Italy.
Anna Luisa Di StefanoDivision of Neurosurgery, Spedali Riuniti di Livorno-Azienda USL Toscana Nord-Ovest, Livorno, Italy.
Benedikt WiestlerDepartment of Neuroradiology, Technical University of Munich, Munchen, Germany.ORCID 0000-0002-2963-7772
Elias R MelhemDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Graeme F WoodworthDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Pallavi TiwariDepartment of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
Pablo ValdesDepartment of Neurosurgery, University of Texas Medical Branch, Galveston, Texas, USA.
Yuji MatsumotoDepartment of Neurological Surgery, Okayama University, Okayama, Japan.
Yoshihiro OtaniDepartment of Neurological Surgery, Okayama University, Okayama, Japan.
Ryoji ImotoDepartment of Neurological Surgery, Okayama University, Okayama, Japan.
Mariam AboianDepartment of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Shinichiro KoizumiDepartment of Neurosurgery, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.
Kazuhiko KurozumiDepartment of Neurosurgery, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.ORCID 0000-0002-6942-9919
Toru KawakatsuDepartment of Neurosurgery, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.
Kimberley AlexanderDepartment of Neurosurgery, Chris O'Brien Lifehouse, Camperdown, Australia.
Laveniya SatgunaseelanDepartment of Neurosurgery, Chris O'Brien Lifehouse, Camperdown, Australia.
Aaron M RulsehDepartment of Radiology, Na Homolce Hospital, Prague, Czechia.
Stephen J BagleyDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Michel BilelloCenter for Data Science and AI for Integrated Diagnostics (AI2D), and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Zev A BinderDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Steven BremDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-5803-8920
Arati S DesaiGBM Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Robert A LustigDepartment of Radiation-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Eileen MaloneyDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Timothy PriorDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Nduka AmankulorDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
MacLean P NasrallahCenter for Data Science and AI for Integrated Diagnostics (AI2D), and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-4861-0898
Donald M O'RourkeDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Suyash MohanCenter for Data Science and AI for Integrated Diagnostics (AI2D), and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Christos DavatzikosCenter for Data Science and AI for Integrated Diagnostics (AI2D), and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-1025-8561
ReSPOND consortium

Funding

Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
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
Cancer imaging phenomics software suite: application to brain and breast cancerU24CA189523 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS, KONTOS, DESPINA · 2015 to 2019
$3.2M
Radiomic spatial maps for identifying viable tumor extent on multi-parametric MRI for GlioblastomaR01CA277728 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Manmeet Ahluwalia, Pallavi Tiwari · 2024 to 2026
$3.0M
Quantitative imaging phenotypic classifier for distinguishing radiation effects from tumor recurrence in Glioblastoma .R01CA264017 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Manmeet Ahluwalia, Pallavi Tiwari · 2022 to 2026
$2.9M
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
BLRD VA I01 BX005842NCI NIH HHS R01 CA264017NCI NIH HHS R01 CA269948NCI NIH HHS R01CA269948NCI NIH HHS R01 CA277728NCI NIH HHS U01 CA242871NCI NIH HHS U01CA242871NCI NIH HHS U24 CA189523NCI NIH HHS U24CA189523NIGMS NIH HHS T32 GM145449NIH HHS
6 · The paper itself

Abstract

backgroundGlioblastoma (GBM) is the most aggressive adult primary brain cancer, characterized by significant heterogeneity, posing challenges for patient management, treatment planning, and clinical trial stratification.

methodsWe developed a highly reproducible, personalized prognostication, and clinical subgrouping system using machine learning (ML) on routine clinical data, magnetic resonance imaging (MRI), and molecular measures from 2838 demographically diverse patients across 22 institutions and 3 continents. Patients were stratified into favorable, intermediate, and poor prognostic subgroups (I, II, and III) using Kaplan-Meier analysis (Cox proportional model and hazard ratios [HR]).

resultsThe ML model stratified patients into distinct prognostic subgroups with HRs between subgroups I-II and I-III of 1.62 (95% CI: 1.43-1.84, P < .001) and 3.48 (95% CI: 2.94-4.11, P < .001), respectively. Analysis of imaging features revealed several tumor properties contributing unique prognostic value, supporting the feasibility of a generalizable prognostic classification system in a diverse cohort.

conclusionsOur ML model demonstrates extensive reproducibility and online accessibility, utilizing routine imaging data rather than complex imaging protocols. This platform offers a unique approach to personalized patient management and clinical trial stratification in GBM.

Indexed as

Brain NeoplasmsGlioblastomaMachine LearningAdultAgedFemaleFollow-Up StudiesHumansMagnetic Resonance ImagingMaleMiddle AgedPrognosisSurvival RateYoung Adultglioblastomamachine learningmpMRIprognostic subgroupingsurvival

Identifiers

PMID39665363
PMCPMC12083074

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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.