ArticleNeuro-oncology2016
Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques.
Open access · bronzeAbstract read
In one paragraph
Article in Neuro-oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers, 5 of them syntheses that pooled it.
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159citing papers in PubMed, 5 pooled it
11.9field-weighted citation impact, top 1% of its field
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The trial behind it
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Who cites it
159 citing papers in PubMed, 5 syntheses or guidelines pooled it, 308 citations in OpenAlex.
- Application of artificial intelligence in forecasting survival in high-grade glioma: systematic review and meta-analysis involving 79,638 participants.Neurosurgical review · 2025Pooled it
- Reproducibility analysis of multi-institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset.Medical physics · 2020Pooled it
- The role of imaging for the management of newly diagnosed glioblastoma in adults: a systematic review and evidence-based clinical practice guideline update.Journal of neuro-oncology · 2020Pooled it
- Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review.Neurosurgical review · 2020Pooled it
- Quantitative magnetic resonance imaging and radiogenomic biomarkers for glioma characterisation: a systematic review.The British journal of radiology · 2018Pooled it
- Radiomics-Based Machine Learning for Outcome Prediction in a Multicenter Phase II Study of Programmed Death-Ligand 1 Inhibition Immunotherapy for Glioblastoma.AJNR. American journal of neuroradiology · 2022Trial
- Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activities.EBioMedicine · 2021Trial
- Prognostic prediction of hypertensive intracerebral hemorrhage using CT radiomics and machine learning.Brain and behavior · 2021Trial
- Quantitative imaging biomarkers for risk stratification of patients with recurrent glioblastoma treated with bevacizumab.Neuro-oncology · 2017Trial
- Machine Learning-Driven Metabolomic Biomarker Discovery in Glioblastoma: Advances, Challenges, and Future Directions.International journal of molecular sciences · 2026Review
- Intratumoral preservation of the stem-like malignant cell proportion in glioblastoma, prognostic impact, and its radiomethylomic signatures.Neuro-oncology · 2025Article
- Artificial intelligence in cancer: applications, challenges, and future perspectives.Molecular cancer · 2025Review
- PHSP-Net: Personalized Habitat-Aware Deep Learning for Multi-Center Glioblastoma Survival Prediction Using Multiparametric MRI.Bioengineering (Basel, Switzerland) · 2025Article
- Multimodal Explainable Artificial Intelligence for Prognostic Stratification of Patients With Glioblastoma.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025Article
- WMRCA + : a weighted majority rule-based clustering method for cancer subtype prediction using metabolic gene sets.Hereditas · 2025Article
- Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study.Neuro-oncology · 2025Article
- Predictive modeling with linear machine learning can estimate glioblastoma survival in months based solely on MGMT-methylation status, age and sex.Acta neurochirurgica · 2025Article
- Scoping review of image-based overall survival prediction in glioma using machine learning.Polish journal of radiology · 2025Review
- A critical assessment of artificial intelligence in magnetic resonance imaging of cancer.Npj imaging · 2025Review
- Radiomic Consensus Clustering in Glioblastoma and Association with Gene Expression Profiles.Cancers · 2024Article
99 more citing papers are in PubMed but not listed here.
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Authors and funding
17 authors at 3 institutions in 1 country.
Luke MacyszynDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
Hamed AkbariDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
Jared M PisapiaDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
Xiao DaDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
Mark AttiahDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
Vadim PigrishDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
Yingtao BiDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
Sharmistha PalDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
Ramana V DavuluriDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
Laura RoccograndiDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
Nadia DahmaneDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
Maria Martinez-LageDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
George BirosDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
Ronald L WolfDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
Michel BilelloDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
Donald M O'RourkeDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
Christos DavatzikosDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania (L.M., J.M.P., M.A., L.R., N.D., D.M.O.); Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., R.L.W., M.B., C.D.); Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania (H.A., X.D., V.P., M.B., C.D.); Department of Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois (Y.B., S.P., R.V.D.); Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas (G.B.); Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (M.M.-L., D.M.O.).
The University of Texas at Austin · USUniversity of Pennsylvania · USNorthwestern University · US
Funding
Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniela E Matei · 1993 to 2026
$153.9MTumor Microenvironment and MetastasisP30CA010815 · NCI · WISTAR INSTITUTE · PI Luis J Montaner · 1985 to 2026
$75.9MNorthwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8MStatistical atlases of brain tumor MRI:do imaging phenotypes predict progression?R01NS042645 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2002 to 2024
$8.7MSUMMER UNDERGRADUATE PROGRAM TO EDUCATE RADIATION SCIENTISTS (SUPERS)R25CA140116 · NCI · UNIVERSITY OF PENNSYLVANIA · PI JAY FITZGERALD DORSEY · 2010 to 2026
$4.1MCancer imaging phenomics software suite: application to brain and breast cancerU24CA189523 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS, KONTOS, DESPINA · 2015 to 2019
$3.2MInformatics Platform for Mammalian Gene Regulation at Isoform-levelR01LM011297 · NLM · WISTAR INSTITUTE · PI DAVULURI, RAMANA V · 2013 to 2020
$2.4MNCATS NIH HHS UL1 TR001422NCI NIH HHS P30 CA010815NCI NIH HHS P30 CA060553NCI NIH HHS R25 CA140116NCI NIH HHS U24 CA189523NINDS NIH HHS R01 NS042645NINDS NIH HHS R01NS 042645NLM NIH HHS R01 LM011297
Abstract
backgroundMRI characteristics of brain gliomas have been used to predict clinical outcome and molecular tumor characteristics. However, previously reported imaging biomarkers have not been sufficiently accurate or reproducible to enter routine clinical practice and often rely on relatively simple MRI measures. The current study leverages advanced image analysis and machine learning algorithms to identify complex and reproducible imaging patterns predictive of overall survival and molecular subtype in glioblastoma (GB).
methodsOne hundred five patients with GB were first used to extract approximately 60 diverse features from preoperative multiparametric MRIs. These imaging features were used by a machine learning algorithm to derive imaging predictors of patient survival and molecular subtype. Cross-validation ensured generalizability of these predictors to new patients. Subsequently, the predictors were evaluated in a prospective cohort of 29 new patients.
resultsSurvival curves yielded a hazard ratio of 10.64 for predicted long versus short survivors. The overall, 3-way (long/medium/short survival) accuracy in the prospective cohort approached 80%. Classification of patients into the 4 molecular subtypes of GB achieved 76% accuracy.
conclusionsBy employing machine learning techniques, we were able to demonstrate that imaging patterns are highly predictive of patient survival. Additionally, we found that GB subtypes have distinctive imaging phenotypes. These results reveal that when imaging markers related to infiltration, cell density, microvascularity, and blood-brain barrier compromise are integrated via advanced pattern analysis methods, they form very accurate predictive biomarkers. These predictive markers used solely preoperative images, hence they can significantly augment diagnosis and treatment of GB patients.
Indexed as
Image Interpretation, Computer-AssistedAdultAlgorithmsBlood-Brain BarrierBrain NeoplasmsCohort StudiesFemaleGlioblastomaHumansMachine LearningMagnetic Resonance ImagingMaleMiddle Agedglioblastomaimagingmachine learningpredictsurvival
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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.